Item talk:Q142164
From geokb
{
"OpenAlex": { "id": "https://openalex.org/A5061910536", "orcid": "https://orcid.org/0000-0001-8054-7572", "display_name": "Wouter Dorigo", "display_name_alternatives": [ "Wouter Dorigo", "W. Dorigo", "W. A. Dorigo", "Wouter A. Dorigo", "A. Dorigo W.", "Wouter Arnoud Dorigo" ], "works_count": 470, "cited_by_count": 19760, "summary_stats": { "2yr_mean_citedness": 5.180722891566265, "h_index": 66, "i10_index": 141 }, "ids": { "openalex": "https://openalex.org/A5061910536", "orcid": "https://orcid.org/0000-0001-8054-7572", "scopus": "http://www.scopus.com/inward/authorDetails.url?authorID=12646465800&partnerID=MN8TOARS" }, "affiliations": [ { "institution": { "id": "https://openalex.org/I145847075", "ror": "https://ror.org/04d836q62", "display_name": "TU Wien", "country_code": "AT", "type": "education", "lineage": [ "https://openalex.org/I145847075" ] }, "years": [ 2024, 2023, 2022, 2021, 2020, 2019, 2018, 2017, 2016, 2015 ] }, { "institution": { "id": "https://openalex.org/I4210161783", "ror": "https://ror.org/05t4zqc79", "display_name": "GeoInformation (United Kingdom)", "country_code": "GB", "type": "company", "lineage": [ "https://openalex.org/I4210161783" ] }, "years": [ 2024 ] }, { "institution": { "id": "https://openalex.org/I129774422", "ror": "https://ror.org/03prydq77", "display_name": "University of Vienna", "country_code": "AT", "type": "education", "lineage": [ "https://openalex.org/I129774422" ] }, "years": [ 2022, 2019 ] }, { "institution": { "id": "https://openalex.org/I4210141239", "ror": "https://ror.org/03gcgxa17", "display_name": "Interuniversity Cooperation Centre Water & Health", "country_code": "AT", "type": "facility", "lineage": [ "https://openalex.org/I4210141239" ] }, "years": [ 2020 ] }, { "institution": { "id": "https://openalex.org/I32597200", "ror": "https://ror.org/00cv9y106", "display_name": "Ghent University", "country_code": "BE", "type": "education", "lineage": [ "https://openalex.org/I32597200" ] }, "years": [ 2017, 2016 ] }, { "institution": { "id": "https://openalex.org/I86519309", "ror": "https://ror.org/00hj54h04", "display_name": "The University of Texas at Austin", "country_code": "US", "type": "education", "lineage": [ "https://openalex.org/I86519309" ] }, "years": [ 2017 ] }, { "institution": { "id": "https://openalex.org/I2898391981", "ror": "https://ror.org/04bwf3e34", "display_name": "Deutsches Zentrum f\u00fcr Luft- und Raumfahrt e. V. (DLR)", "country_code": "DE", "type": "facility", "lineage": [ "https://openalex.org/I1305996414", "https://openalex.org/I2898391981" ] }, "years": [ 2007, 2006, 2005 ] }, { "institution": { "id": "https://openalex.org/I62916508", "ror": "https://ror.org/02kkvpp62", "display_name": "Technical University of Munich", "country_code": "DE", "type": "education", "lineage": [ "https://openalex.org/I62916508" ] }, "years": [ 2007, 2005 ] } ], "last_known_institutions": [ { "id": "https://openalex.org/I145847075", "ror": "https://ror.org/04d836q62", "display_name": "TU Wien", "country_code": "AT", "type": "education", "lineage": [ "https://openalex.org/I145847075" ] } ], "topics": [ { "id": "https://openalex.org/T11312", "display_name": "Remote Sensing of Soil Moisture", "count": 226, "subfield": { "id": "https://openalex.org/subfields/2305", "display_name": "Environmental Engineering" }, "field": { "id": "https://openalex.org/fields/23", "display_name": "Environmental Science" }, "domain": { "id": "https://openalex.org/domains/3", "display_name": "Physical Sciences" } }, { "id": "https://openalex.org/T11234", "display_name": "Satellite-Based Precipitation Estimation and Validation", "count": 114, "subfield": { "id": "https://openalex.org/subfields/1902", "display_name": "Atmospheric Science" }, "field": { "id": "https://openalex.org/fields/19", "display_name": "Earth and Planetary Sciences" }, "domain": { "id": "https://openalex.org/domains/3", "display_name": "Physical Sciences" } }, { "id": "https://openalex.org/T10111", "display_name": "Remote Sensing in Vegetation Monitoring and Phenology", "count": 73, "subfield": { "id": "https://openalex.org/subfields/2303", "display_name": "Ecology" }, "field": { "id": "https://openalex.org/fields/23", "display_name": "Environmental Science" }, "domain": { "id": "https://openalex.org/domains/3", "display_name": "Physical Sciences" } }, { "id": "https://openalex.org/T11333", "display_name": "Arctic Permafrost Dynamics and Climate Change", "count": 61, "subfield": { "id": "https://openalex.org/subfields/1902", "display_name": "Atmospheric Science" }, "field": { "id": "https://openalex.org/fields/19", "display_name": "Earth and Planetary Sciences" }, "domain": { "id": "https://openalex.org/domains/3", "display_name": "Physical Sciences" } }, { "id": "https://openalex.org/T10716", "display_name": "Mechanics and Transport in Unsaturated Soils", "count": 58, "subfield": { "id": "https://openalex.org/subfields/2205", "display_name": "Civil and Structural Engineering" }, "field": { "id": "https://openalex.org/fields/22", "display_name": "Engineering" }, "domain": { "id": "https://openalex.org/domains/3", "display_name": "Physical Sciences" } }, { "id": "https://openalex.org/T10466", "display_name": "Numerical Weather Prediction Models", "count": 57, "subfield": { "id": "https://openalex.org/subfields/1902", "display_name": "Atmospheric Science" }, "field": { "id": "https://openalex.org/fields/19", "display_name": "Earth and Planetary Sciences" }, "domain": { "id": "https://openalex.org/domains/3", "display_name": "Physical Sciences" } }, { "id": "https://openalex.org/T10029", "display_name": "Climate Change and Variability Research", "count": 56, "subfield": { "id": "https://openalex.org/subfields/2306", "display_name": "Global and Planetary Change" }, "field": { "id": "https://openalex.org/fields/23", "display_name": "Environmental Science" }, "domain": { "id": "https://openalex.org/domains/3", "display_name": "Physical Sciences" } }, { "id": "https://openalex.org/T10266", "display_name": "Global Forest Drought Response and Climate Change", "count": 43, "subfield": { "id": "https://openalex.org/subfields/2306", "display_name": "Global and Planetary Change" }, "field": { "id": "https://openalex.org/fields/23", "display_name": "Environmental Science" }, "domain": { "id": "https://openalex.org/domains/3", "display_name": "Physical Sciences" } }, { "id": "https://openalex.org/T11164", "display_name": "Mapping Forests with Lidar Remote Sensing", "count": 39, "subfield": { "id": "https://openalex.org/subfields/2305", "display_name": "Environmental Engineering" }, "field": { "id": "https://openalex.org/fields/23", "display_name": "Environmental Science" }, "domain": { "id": "https://openalex.org/domains/3", "display_name": "Physical Sciences" } }, { "id": "https://openalex.org/T10644", "display_name": "Impacts of Climate Change on Glaciers and Water Availability", "count": 39, "subfield": { "id": "https://openalex.org/subfields/1902", "display_name": "Atmospheric Science" }, "field": { "id": "https://openalex.org/fields/19", "display_name": "Earth and Planetary Sciences" }, "domain": { "id": "https://openalex.org/domains/3", "display_name": "Physical Sciences" } }, { "id": "https://openalex.org/T11405", "display_name": "Global Sea Level Variability and Change", "count": 25, "subfield": { "id": "https://openalex.org/subfields/1910", "display_name": "Oceanography" }, "field": { "id": "https://openalex.org/fields/19", "display_name": "Earth and Planetary Sciences" }, "domain": { "id": "https://openalex.org/domains/3", "display_name": "Physical Sciences" } }, { "id": "https://openalex.org/T10330", "display_name": "Hydrological Modeling and Water Resource Management", "count": 24, "subfield": { "id": "https://openalex.org/subfields/2312", "display_name": "Water Science and Technology" }, "field": { "id": "https://openalex.org/fields/23", "display_name": "Environmental Science" }, "domain": { "id": "https://openalex.org/domains/3", "display_name": "Physical Sciences" } }, { "id": "https://openalex.org/T11588", "display_name": "Global Methane Emissions and Impacts", "count": 22, "subfield": { "id": "https://openalex.org/subfields/2306", "display_name": "Global and Planetary Change" }, "field": { "id": "https://openalex.org/fields/23", "display_name": "Environmental Science" }, "domain": { "id": "https://openalex.org/domains/3", "display_name": "Physical Sciences" } }, { "id": "https://openalex.org/T10770", "display_name": "Digital Soil Mapping Techniques", "count": 20, "subfield": { "id": "https://openalex.org/subfields/2305", "display_name": "Environmental Engineering" }, "field": { "id": "https://openalex.org/fields/23", "display_name": "Environmental Science" }, "domain": { "id": "https://openalex.org/domains/3", "display_name": "Physical Sciences" } }, { "id": "https://openalex.org/T10226", "display_name": "Global Analysis of Ecosystem Services and Land Use", "count": 20, "subfield": { "id": "https://openalex.org/subfields/2306", "display_name": "Global and Planetary Change" }, "field": { "id": "https://openalex.org/fields/23", "display_name": "Environmental Science" }, "domain": { "id": "https://openalex.org/domains/3", "display_name": "Physical Sciences" } }, { "id": "https://openalex.org/T10555", "display_name": "Impact of Climate Change on Forest Wildfires", "count": 19, "subfield": { "id": "https://openalex.org/subfields/2306", "display_name": "Global and Planetary Change" }, "field": { "id": "https://openalex.org/fields/23", "display_name": "Environmental Science" }, "domain": { "id": "https://openalex.org/domains/3", "display_name": "Physical Sciences" } }, { "id": "https://openalex.org/T11186", "display_name": "Global Drought Monitoring and Assessment", "count": 14, "subfield": { "id": "https://openalex.org/subfields/2306", "display_name": "Global and Planetary Change" }, "field": { "id": "https://openalex.org/fields/23", "display_name": "Environmental Science" }, "domain": { "id": "https://openalex.org/domains/3", "display_name": "Physical Sciences" } }, { "id": "https://openalex.org/T10930", "display_name": "Global Flood Risk Assessment and Management", "count": 13, "subfield": { "id": "https://openalex.org/subfields/2306", "display_name": "Global and Planetary Change" }, "field": { "id": "https://openalex.org/fields/23", "display_name": "Environmental Science" }, "domain": { "id": "https://openalex.org/domains/3", "display_name": "Physical Sciences" } }, { "id": "https://openalex.org/T10535", "display_name": "Landslide Hazards and Risk Assessment", "count": 11, "subfield": { "id": "https://openalex.org/subfields/2308", "display_name": "Management, Monitoring, Policy and Law" }, "field": { "id": "https://openalex.org/fields/23", "display_name": "Environmental Science" }, "domain": { "id": "https://openalex.org/domains/3", "display_name": "Physical Sciences" } }, { "id": "https://openalex.org/T13650", "display_name": "Scientific Computing and Data Analysis with Python", "count": 9, "subfield": { "id": "https://openalex.org/subfields/1702", "display_name": "Artificial Intelligence" }, "field": { "id": "https://openalex.org/fields/17", "display_name": "Computer Science" }, "domain": { "id": "https://openalex.org/domains/3", "display_name": "Physical Sciences" } }, { "id": "https://openalex.org/T10895", "display_name": "Species Distribution Modeling and Climate Change Impacts", "count": 9, "subfield": { "id": "https://openalex.org/subfields/2302", "display_name": "Ecological Modeling" }, "field": { "id": "https://openalex.org/fields/23", "display_name": "Environmental Science" }, "domain": { "id": "https://openalex.org/domains/3", "display_name": "Physical Sciences" } }, { "id": "https://openalex.org/T10801", "display_name": "Synthetic Aperture Radar Interferometry", "count": 8, "subfield": { "id": "https://openalex.org/subfields/2202", "display_name": "Aerospace Engineering" }, "field": { "id": "https://openalex.org/fields/22", "display_name": "Engineering" }, "domain": { "id": "https://openalex.org/domains/3", "display_name": "Physical Sciences" } }, { "id": "https://openalex.org/T11594", "display_name": "Causes and Impacts of Climate Change Over Millennia", "count": 8, "subfield": { "id": "https://openalex.org/subfields/1902", "display_name": "Atmospheric Science" }, "field": { "id": "https://openalex.org/fields/19", "display_name": "Earth and Planetary Sciences" }, "domain": { "id": "https://openalex.org/domains/3", "display_name": "Physical Sciences" } }, { "id": "https://openalex.org/T13377", "display_name": "Anticipating Critical Transitions in Ecosystems", "count": 7, "subfield": { "id": "https://openalex.org/subfields/2306", "display_name": "Global and Planetary Change" }, "field": { "id": "https://openalex.org/fields/23", "display_name": "Environmental Science" }, "domain": { "id": "https://openalex.org/domains/3", "display_name": "Physical Sciences" } }, { "id": "https://openalex.org/T13890", "display_name": "Applications of Remote Sensing in Geoscience and Agriculture", "count": 7, "subfield": { "id": "https://openalex.org/subfields/1902", "display_name": "Atmospheric Science" }, "field": { "id": "https://openalex.org/fields/19", "display_name": "Earth and Planetary Sciences" }, "domain": { "id": "https://openalex.org/domains/3", "display_name": "Physical Sciences" } } ], "topic_share": [ { "id": "https://openalex.org/T11312", "display_name": "Remote Sensing of Soil Moisture", "value": 0.0022039, "subfield": { "id": "https://openalex.org/subfields/2305", "display_name": "Environmental Engineering" }, "field": { "id": "https://openalex.org/fields/23", "display_name": "Environmental Science" }, "domain": { "id": "https://openalex.org/domains/3", "display_name": "Physical Sciences" } }, { "id": "https://openalex.org/T11234", "display_name": "Satellite-Based Precipitation Estimation and Validation", "value": 0.0013607, "subfield": { "id": "https://openalex.org/subfields/1902", "display_name": "Atmospheric Science" }, "field": { "id": "https://openalex.org/fields/19", "display_name": "Earth and Planetary Sciences" }, "domain": { "id": "https://openalex.org/domains/3", "display_name": "Physical Sciences" } }, { "id": "https://openalex.org/T10111", "display_name": "Remote Sensing in Vegetation Monitoring and Phenology", "value": 0.0005118, "subfield": { "id": "https://openalex.org/subfields/2303", "display_name": "Ecology" }, "field": { "id": "https://openalex.org/fields/23", "display_name": "Environmental Science" }, "domain": { "id": "https://openalex.org/domains/3", "display_name": "Physical Sciences" } }, { "id": "https://openalex.org/T11333", "display_name": "Arctic Permafrost Dynamics and Climate Change", "value": 0.0003617, "subfield": { "id": "https://openalex.org/subfields/1902", "display_name": "Atmospheric Science" }, "field": { "id": "https://openalex.org/fields/19", "display_name": "Earth and Planetary Sciences" }, "domain": { "id": "https://openalex.org/domains/3", "display_name": "Physical Sciences" } }, { "id": "https://openalex.org/T10716", "display_name": "Mechanics and Transport in Unsaturated Soils", "value": 0.0003395, "subfield": { "id": "https://openalex.org/subfields/2205", "display_name": "Civil and Structural Engineering" }, "field": { "id": "https://openalex.org/fields/22", "display_name": "Engineering" }, "domain": { "id": "https://openalex.org/domains/3", "display_name": "Physical Sciences" } }, { "id": "https://openalex.org/T11164", "display_name": "Mapping Forests with Lidar Remote Sensing", "value": 0.0002149, "subfield": { "id": "https://openalex.org/subfields/2305", "display_name": "Environmental Engineering" }, "field": { "id": "https://openalex.org/fields/23", "display_name": "Environmental Science" }, "domain": { "id": "https://openalex.org/domains/3", "display_name": "Physical Sciences" } }, { "id": "https://openalex.org/T10266", "display_name": "Global Forest Drought Response and Climate Change", "value": 0.0002142, "subfield": { "id": "https://openalex.org/subfields/2306", "display_name": "Global and Planetary Change" }, "field": { "id": "https://openalex.org/fields/23", "display_name": "Environmental Science" }, "domain": { "id": "https://openalex.org/domains/3", "display_name": "Physical Sciences" } }, { "id": "https://openalex.org/T13377", "display_name": "Anticipating Critical Transitions in Ecosystems", "value": 0.0002068, "subfield": { "id": "https://openalex.org/subfields/2306", "display_name": "Global and Planetary Change" }, "field": { "id": "https://openalex.org/fields/23", "display_name": "Environmental Science" }, "domain": { "id": "https://openalex.org/domains/3", "display_name": "Physical Sciences" } }, { "id": "https://openalex.org/T10770", "display_name": "Digital Soil Mapping Techniques", "value": 0.0001996, "subfield": { "id": "https://openalex.org/subfields/2305", "display_name": "Environmental Engineering" }, "field": { "id": "https://openalex.org/fields/23", "display_name": "Environmental Science" }, "domain": { "id": "https://openalex.org/domains/3", "display_name": "Physical Sciences" } }, { "id": "https://openalex.org/T10466", "display_name": "Numerical Weather Prediction Models", "value": 0.0001984, "subfield": { "id": "https://openalex.org/subfields/1902", "display_name": "Atmospheric Science" }, "field": { "id": "https://openalex.org/fields/19", "display_name": "Earth and Planetary Sciences" }, "domain": { "id": "https://openalex.org/domains/3", "display_name": "Physical Sciences" } }, { "id": "https://openalex.org/T10029", "display_name": "Climate Change and Variability Research", "value": 0.0001933, "subfield": { "id": "https://openalex.org/subfields/2306", "display_name": "Global and Planetary Change" }, "field": { "id": "https://openalex.org/fields/23", "display_name": "Environmental Science" }, "domain": { "id": "https://openalex.org/domains/3", "display_name": "Physical Sciences" } }, { "id": "https://openalex.org/T10644", "display_name": "Impacts of Climate Change on Glaciers and Water Availability", "value": 0.0001529, "subfield": { "id": "https://openalex.org/subfields/1902", "display_name": "Atmospheric Science" }, "field": { "id": "https://openalex.org/fields/19", "display_name": "Earth and Planetary Sciences" }, "domain": { "id": "https://openalex.org/domains/3", "display_name": "Physical Sciences" } }, { "id": "https://openalex.org/T11186", "display_name": "Global Drought Monitoring and Assessment", "value": 0.0001377, "subfield": { "id": "https://openalex.org/subfields/2306", "display_name": "Global and Planetary Change" }, "field": { "id": "https://openalex.org/fields/23", "display_name": "Environmental Science" }, "domain": { "id": "https://openalex.org/domains/3", "display_name": "Physical Sciences" } }, { "id": "https://openalex.org/T10801", "display_name": "Synthetic Aperture Radar Interferometry", "value": 0.0001152, "subfield": { "id": "https://openalex.org/subfields/2202", "display_name": "Aerospace Engineering" }, "field": { "id": "https://openalex.org/fields/22", "display_name": "Engineering" }, "domain": { "id": "https://openalex.org/domains/3", "display_name": "Physical Sciences" } }, { "id": "https://openalex.org/T10555", "display_name": "Impact of Climate Change on Forest Wildfires", "value": 0.0001092, "subfield": { "id": "https://openalex.org/subfields/2306", "display_name": "Global and Planetary Change" }, "field": { "id": "https://openalex.org/fields/23", "display_name": "Environmental Science" }, "domain": { "id": "https://openalex.org/domains/3", "display_name": "Physical Sciences" } }, { "id": "https://openalex.org/T11594", "display_name": "Causes and Impacts of Climate Change Over Millennia", "value": 0.0001034, "subfield": { "id": "https://openalex.org/subfields/1902", "display_name": "Atmospheric Science" }, "field": { "id": "https://openalex.org/fields/19", "display_name": "Earth and Planetary Sciences" }, "domain": { "id": "https://openalex.org/domains/3", "display_name": "Physical Sciences" } }, { "id": "https://openalex.org/T10226", "display_name": "Global Analysis of Ecosystem Services and Land Use", "value": 0.000101, "subfield": { "id": "https://openalex.org/subfields/2306", "display_name": "Global and Planetary Change" }, "field": { "id": "https://openalex.org/fields/23", "display_name": "Environmental Science" }, "domain": { "id": "https://openalex.org/domains/3", "display_name": "Physical Sciences" } }, { "id": "https://openalex.org/T10330", "display_name": "Hydrological Modeling and Water Resource Management", "value": 7.45e-05, "subfield": { "id": "https://openalex.org/subfields/2312", "display_name": "Water Science and Technology" }, "field": { "id": "https://openalex.org/fields/23", "display_name": "Environmental Science" }, "domain": { "id": "https://openalex.org/domains/3", "display_name": "Physical Sciences" } }, { "id": "https://openalex.org/T14365", "display_name": "Non-destructive Leaf Area Estimation Methods", "value": 6.86e-05, "subfield": { "id": "https://openalex.org/subfields/1110", "display_name": "Plant Science" }, "field": { "id": "https://openalex.org/fields/11", "display_name": "Agricultural and Biological Sciences" }, "domain": { "id": "https://openalex.org/domains/1", "display_name": "Life Sciences" } }, { "id": "https://openalex.org/T10930", "display_name": "Global Flood Risk Assessment and Management", "value": 6.62e-05, "subfield": { "id": "https://openalex.org/subfields/2306", "display_name": "Global and Planetary Change" }, "field": { "id": "https://openalex.org/fields/23", "display_name": "Environmental Science" }, "domain": { "id": "https://openalex.org/domains/3", "display_name": "Physical Sciences" } }, { "id": "https://openalex.org/T10439", "display_name": "Adaptation to Climate Change in Agriculture", "value": 6.48e-05, "subfield": { "id": "https://openalex.org/subfields/1105", "display_name": "Ecology, Evolution, Behavior and Systematics" }, "field": { "id": "https://openalex.org/fields/11", "display_name": "Agricultural and Biological Sciences" }, "domain": { "id": "https://openalex.org/domains/1", "display_name": "Life Sciences" } }, { "id": "https://openalex.org/T11588", "display_name": "Global Methane Emissions and Impacts", "value": 6.46e-05, "subfield": { "id": "https://openalex.org/subfields/2306", "display_name": "Global and Planetary Change" }, "field": { "id": "https://openalex.org/fields/23", "display_name": "Environmental Science" }, "domain": { "id": "https://openalex.org/domains/3", "display_name": "Physical Sciences" } }, { "id": "https://openalex.org/T11405", "display_name": "Global Sea Level Variability and Change", "value": 6.2e-05, "subfield": { "id": "https://openalex.org/subfields/1910", "display_name": "Oceanography" }, "field": { "id": "https://openalex.org/fields/19", "display_name": "Earth and Planetary Sciences" }, "domain": { "id": "https://openalex.org/domains/3", "display_name": "Physical Sciences" } }, { "id": "https://openalex.org/T13650", "display_name": "Scientific Computing and Data Analysis with Python", "value": 6.18e-05, "subfield": { "id": "https://openalex.org/subfields/1702", "display_name": "Artificial Intelligence" }, "field": { "id": "https://openalex.org/fields/17", "display_name": "Computer Science" }, "domain": { "id": "https://openalex.org/domains/3", "display_name": "Physical Sciences" } }, { "id": "https://openalex.org/T11490", "display_name": "Hydrological Modeling using Machine Learning Methods", "value": 5.83e-05, "subfield": { "id": "https://openalex.org/subfields/2305", "display_name": "Environmental Engineering" }, "field": { "id": "https://openalex.org/fields/23", "display_name": "Environmental Science" }, "domain": { "id": "https://openalex.org/domains/3", "display_name": "Physical Sciences" } } ], "x_concepts": [ { "id": "https://openalex.org/C127313418", "wikidata": "https://www.wikidata.org/wiki/Q1069", "display_name": "Geology", "level": 0, "score": 93.4 }, { "id": "https://openalex.org/C39432304", "wikidata": "https://www.wikidata.org/wiki/Q188847", "display_name": "Environmental science", "level": 0, "score": 92.8 }, { "id": "https://openalex.org/C205649164", "wikidata": "https://www.wikidata.org/wiki/Q1071", "display_name": "Geography", "level": 0, "score": 91.1 }, { "id": "https://openalex.org/C121332964", "wikidata": "https://www.wikidata.org/wiki/Q413", "display_name": "Physics", "level": 0, "score": 85.1 }, { "id": "https://openalex.org/C127413603", "wikidata": "https://www.wikidata.org/wiki/Q11023", "display_name": "Engineering", "level": 0, "score": 74.3 }, { "id": "https://openalex.org/C153294291", "wikidata": "https://www.wikidata.org/wiki/Q25261", "display_name": "Meteorology", "level": 1, "score": 63.6 }, { "id": "https://openalex.org/C86803240", "wikidata": "https://www.wikidata.org/wiki/Q420", "display_name": "Biology", "level": 0, "score": 60.9 }, { "id": "https://openalex.org/C41008148", "wikidata": "https://www.wikidata.org/wiki/Q21198", "display_name": "Computer science", "level": 0, "score": 57.9 }, { "id": "https://openalex.org/C62649853", "wikidata": "https://www.wikidata.org/wiki/Q199687", "display_name": "Remote sensing", "level": 1, "score": 56.2 }, { "id": "https://openalex.org/C18903297", "wikidata": "https://www.wikidata.org/wiki/Q7150", "display_name": "Ecology", "level": 1, "score": 54.7 }, { "id": "https://openalex.org/C187320778", "wikidata": "https://www.wikidata.org/wiki/Q1349130", "display_name": "Geotechnical engineering", "level": 1, "score": 49.6 }, { "id": "https://openalex.org/C1276947", "wikidata": "https://www.wikidata.org/wiki/Q333", "display_name": "Astronomy", "level": 1, "score": 45.3 }, { "id": "https://openalex.org/C24939127", "wikidata": "https://www.wikidata.org/wiki/Q373499", "display_name": "Water content", "level": 2, "score": 43.6 }, { "id": "https://openalex.org/C146978453", "wikidata": "https://www.wikidata.org/wiki/Q3798668", "display_name": "Aerospace engineering", "level": 1, "score": 39.1 }, { "id": "https://openalex.org/C19269812", "wikidata": "https://www.wikidata.org/wiki/Q26540", "display_name": "Satellite", "level": 2, "score": 37.9 }, { "id": "https://openalex.org/C49204034", "wikidata": "https://www.wikidata.org/wiki/Q52139", "display_name": "Climatology", "level": 1, "score": 32.6 }, { "id": "https://openalex.org/C185592680", "wikidata": "https://www.wikidata.org/wiki/Q2329", "display_name": "Chemistry", "level": 0, "score": 31.9 }, { "id": "https://openalex.org/C62520636", "wikidata": "https://www.wikidata.org/wiki/Q944", "display_name": "Quantum mechanics", "level": 1, "score": 31.7 }, { "id": "https://openalex.org/C33923547", "wikidata": "https://www.wikidata.org/wiki/Q395", "display_name": "Mathematics", "level": 0, "score": 31.5 }, { "id": "https://openalex.org/C111368507", "wikidata": "https://www.wikidata.org/wiki/Q43518", "display_name": "Oceanography", "level": 1, "score": 31.5 }, { "id": "https://openalex.org/C192562407", "wikidata": "https://www.wikidata.org/wiki/Q228736", "display_name": "Materials science", "level": 0, "score": 30.6 }, { "id": "https://openalex.org/C159985019", "wikidata": "https://www.wikidata.org/wiki/Q181790", "display_name": "Composite material", "level": 1, "score": 29.8 }, { "id": "https://openalex.org/C71924100", "wikidata": "https://www.wikidata.org/wiki/Q11190", "display_name": "Medicine", "level": 0, "score": 29.6 }, { "id": "https://openalex.org/C178790620", "wikidata": "https://www.wikidata.org/wiki/Q11351", "display_name": "Organic chemistry", "level": 1, "score": 29.1 }, { "id": "https://openalex.org/C176864760", "wikidata": "https://www.wikidata.org/wiki/Q217651", "display_name": "Moisture", "level": 2, "score": 26.8 } ], "counts_by_year": [ { "year": 2024, "works_count": 26, "cited_by_count": 1784 }, { "year": 2023, "works_count": 51, "cited_by_count": 3189 }, { "year": 2022, "works_count": 46, "cited_by_count": 3321 }, { "year": 2021, "works_count": 37, "cited_by_count": 3089 }, { "year": 2020, "works_count": 37, "cited_by_count": 2273 }, { "year": 2019, "works_count": 42, "cited_by_count": 1993 }, { "year": 2018, "works_count": 26, "cited_by_count": 1608 }, { "year": 2017, "works_count": 32, "cited_by_count": 1335 }, { "year": 2016, "works_count": 28, "cited_by_count": 1234 }, { "year": 2015, "works_count": 15, "cited_by_count": 807 }, { "year": 2014, "works_count": 26, "cited_by_count": 567 }, { "year": 2013, "works_count": 30, "cited_by_count": 505 }, { "year": 2012, "works_count": 24, "cited_by_count": 281 } ], "works_api_url": "https://api.openalex.org/works?filter=author.id:A5061910536", "updated_date": "2024-08-19T00:26:34.807705", "created_date": "2023-07-21", "_id": "https://openalex.org/A5061910536" }, "ORCID": { "@context": "http://schema.org", "@type": "Person", "@id": "https://orcid.org/0000-0001-8054-7572", "mainEntityOfPage": "https://orcid.org/0000-0001-8054-7572", "givenName": "Wouter", "familyName": "Dorigo", "address": { "addressCountry": "AT", "@type": "PostalAddress" }, "affiliation": { "@type": "Organization", "name": "TU Wien", "identifier": { "@type": "PropertyValue", "propertyID": "RINGGOLD", "value": "27259" } }, "@reverse": { "creator": [ { "@type": "CreativeWork", "@id": "https://doi.org/10.5194/egusphere-egu24-19999", "name": "45 years of global satellite soil moisture for hydrological and climate applications", "identifier": { "@type": "PropertyValue", "propertyID": "doi", "value": "10.5194/egusphere-egu24-19999" } }, { "@type": "CreativeWork", "@id": "https://doi.org/10.5194/egusphere-egu24-16611", "name": "A gap-filled global long-term satellite soil moisture climate data record from ESA CCI SM", "identifier": { "@type": "PropertyValue", "propertyID": "doi", "value": "10.5194/egusphere-egu24-16611" } }, { "@type": "CreativeWork", "@id": "https://doi.org/10.5194/egusphere-egu24-21980", "name": "Connecting different roles of globally systematic ground-based hydrological observations for Numerical Weather Prediction and Climate Reanalysis", "identifier": { "@type": "PropertyValue", "propertyID": "doi", "value": "10.5194/egusphere-egu24-21980" } }, { "@type": "CreativeWork", "@id": "https://doi.org/10.5194/egusphere-egu24-17637", "name": "G3P v1.12: Advancements of a Global Groundwater Storage Anomaly Dataset from Satellite Gravimetry", "identifier": { "@type": "PropertyValue", "propertyID": "doi", "value": "10.5194/egusphere-egu24-17637" } }, { "@type": "CreativeWork", "@id": "https://doi.org/10.5194/egusphere-egu24-20049", "name": "Impact of soil moisture data assimilation on short-term numerical weather prediction", "identifier": { "@type": "PropertyValue", "propertyID": "doi", "value": "10.5194/egusphere-egu24-20049" } }, { "@type": "CreativeWork", "@id": "https://doi.org/10.5194/egusphere-egu24-17362", "name": "SLAINTE: A sub-daily (In)SAR mission idea to study vegetation water, health and carbon", "identifier": { "@type": "PropertyValue", "propertyID": "doi", "value": "10.5194/egusphere-egu24-17362" } }, { "@type": "CreativeWork", "@id": "https://doi.org/10.5194/egusphere-egu24-15519", "name": "Exploring the relative scale of uncertainty in high-resolution soil moisture remote sensing products towards model integration ", "identifier": { "@type": "PropertyValue", "propertyID": "doi", "value": "10.5194/egusphere-egu24-15519" } }, { "@type": "CreativeWork", "@id": "https://doi.org/10.5194/egusphere-egu24-15359", "name": "GLEAM4: Improving global terrestrial evaporation estimates with hybrid modelling ", "identifier": { "@type": "PropertyValue", "propertyID": "doi", "value": "10.5194/egusphere-egu24-15359" } }, { "@type": "CreativeWork", "@id": "https://doi.org/10.5194/egusphere-egu24-16136", "name": "Using fiducial reference measurements for assessing soil moisture product stability", "identifier": { "@type": "PropertyValue", "propertyID": "doi", "value": "10.5194/egusphere-egu24-16136" } }, { "@type": "CreativeWork", "@id": "https://doi.org/10.5194/egusphere-egu24-5023", "name": "Assessment of SMOS soil moisture considering the heterogeneity of geophysical parameters within the footprint", "identifier": { "@type": "PropertyValue", "propertyID": "doi", "value": "10.5194/egusphere-egu24-5023" } }, { "@type": "CreativeWork", "@id": "https://doi.org/10.5194/egusphere-egu24-11026", "name": "Downscaling ESA CCI Soil Moisture: From 0.25° to 0.01° using a two-step machine learning approach", "identifier": { "@type": "PropertyValue", "propertyID": "doi", "value": "10.5194/egusphere-egu24-11026" } }, { "@type": "CreativeWork", "@id": "https://doi.org/10.5194/egusphere-egu24-11186", "name": "Fiducial Reference Measurements for Soil Moisture (FRM4SM): recent progress in error source identification and traceable uncertainty budget calculation", "identifier": { "@type": "PropertyValue", "propertyID": "doi", "value": "10.5194/egusphere-egu24-11186" } }, { "@type": "CreativeWork", "@id": "https://doi.org/10.5194/egusphere-egu24-9386", "name": "Food security in a changing climate - how can Earth observation and machine learning help? ", "identifier": { "@type": "PropertyValue", "propertyID": "doi", "value": "10.5194/egusphere-egu24-9386" } }, { "@type": "CreativeWork", "@id": "https://doi.org/10.5194/egusphere-egu24-6334", "name": "Global characterisation of land-atmosphere interactions during flash droughts using satellite observations", "identifier": { "@type": "PropertyValue", "propertyID": "doi", "value": "10.5194/egusphere-egu24-6334" } }, { "@type": "CreativeWork", "@id": "https://doi.org/10.5194/egusphere-egu24-1837", "name": "Retrieving the irrigation actually applied at district scale: assimilating high-resolution Sentinel-1-derived soil moisture data into a FAO-56-based model", "identifier": { "@type": "PropertyValue", "propertyID": "doi", "value": "10.5194/egusphere-egu24-1837" } }, { "@type": "CreativeWork", "@id": "https://doi.org/10.5194/egusphere-egu24-5834", "name": "Tracking the dynamics of paddy rice cultivation practice through MODIS time series and PhenoRice algorithm.", "identifier": { "@type": "PropertyValue", "propertyID": "doi", "value": "10.5194/egusphere-egu24-5834" } }, { "@type": "CreativeWork", "@id": "https://doi.org/10.5194/egusphere-egu24-7557", "name": "VODCA v2: Multi-sensor, multi-frequency vegetation optical depth data for long-term canopy dynamics and biomass monitoring ", "identifier": { "@type": "PropertyValue", "propertyID": "doi", "value": "10.5194/egusphere-egu24-7557" } }, { "@type": "CreativeWork", "@id": "https://doi.org/10.5194/essd-2024-35", "name": "VODCA v2: Multi-sensor, multi-frequency vegetation optical depth data for long-term canopy dynamics and biomass monitoring", "identifier": { "@type": "PropertyValue", "propertyID": "doi", "value": "10.5194/essd-2024-35" } }, { "@type": "CreativeWork", "@id": "https://doi.org/10.5194/hess-27-4087-2023", "name": "Bias-blind and bias-aware assimilation of leaf area index into the Noah-MP land surface model over Europe", "identifier": { "@type": "PropertyValue", "propertyID": "doi", "value": "10.5194/hess-27-4087-2023" } }, { "@type": "CreativeWork", "@id": "https://doi.org/10.5194/egusphere-2023-2499", "name": "Characterising recent drought events in the context of dry-season trends using state-of-the-art reanalysis and remote-sensing soil moisture products", "identifier": { "@type": "PropertyValue", "propertyID": "doi", "value": "10.5194/egusphere-2023-2499" } }, { "@type": "CreativeWork", "@id": "https://doi.org/10.5194/egusphere-2023-2499-supplement", "name": "Supplementary material to \"Characterising recent drought events in the context of dry-season trends using state-of-the-art reanalysis and remote-sensing soil moisture products\"", "identifier": { "@type": "PropertyValue", "propertyID": "doi", "value": "10.5194/egusphere-2023-2499-supplement" } }, { "@type": "CreativeWork", "@id": "https://doi.org/10.3390/rs15194659", "name": "Inundation\u2013Desiccation State Prediction for Salt Pans in the Western Pannonian Basin Using Remote Sensing, Groundwater, and Meteorological Data", "identifier": { "@type": "PropertyValue", "propertyID": "doi", "value": "10.3390/rs15194659" } }, { "@type": "CreativeWork", "@id": "https://doi.org/10.5194/gmd-16-4957-2023", "name": "Uncertainty estimation for a new exponential-filter-based long-term root-zone soil moisture dataset from Copernicus Climate Change Service (C3S) surface observations", "identifier": { "@type": "PropertyValue", "propertyID": "doi", "value": "10.5194/gmd-16-4957-2023" } }, { "@type": "CreativeWork", "@id": "https://doi.org/10.1038/s43247-023-00890-7", "name": "Continuous increase in evaporative demand shortened the growing season of European ecosystems in the last decade", "identifier": { "@type": "PropertyValue", "propertyID": "doi", "value": "10.1038/s43247-023-00890-7" } }, { "@type": "CreativeWork", "@id": "https://doi.org/10.3390/agronomy13071669", "name": "Estimating Drought-Induced Crop Yield Losses at the Cadastral Area Level in the Czech Republic", "identifier": { "@type": "PropertyValue", "propertyID": "doi", "value": "10.3390/agronomy13071669" } }, { "@type": "CreativeWork", "@id": "https://doi.org/10.5194/egusphere-egu23-15510", "name": "A data service for global groundwater and terrestrial water storage variations based on satellite gravimetry", "identifier": { "@type": "PropertyValue", "propertyID": "doi", "value": "10.5194/egusphere-egu23-15510" } }, { "@type": "CreativeWork", "@id": "https://doi.org/10.5194/egusphere-egu23-13940", "name": "Accounting for Seasonal Soil Moisture Retrieval Errors in the Generation of Climate Data Records", "identifier": { "@type": "PropertyValue", "propertyID": "doi", "value": "10.5194/egusphere-egu23-13940" } }, { "@type": "CreativeWork", "@id": "https://doi.org/10.5194/egusphere-egu23-16006", "name": "Analyzing the reliability of in situ soil moisture measurements for satellite product validation: What makes fiducial reference measurements fiducial?", "identifier": { "@type": "PropertyValue", "propertyID": "doi", "value": "10.5194/egusphere-egu23-16006" } }, { "@type": "CreativeWork", "@id": "https://doi.org/10.5194/egusphere-egu23-12832", "name": "Characterising recent drought events in the context of dry-season trends using current reanalysis and remote-sensing soil moisture products", "identifier": { "@type": "PropertyValue", "propertyID": "doi", "value": "10.5194/egusphere-egu23-12832" } }, { "@type": "CreativeWork", "@id": "https://doi.org/10.5194/egusphere-egu23-12314", "name": "Data-Driven Modelling of Steppe Wetland Variability in Eastern Austrian Seewinkel Using Satellite-Derived Water Extent and Climatological and Groundwater Data", "identifier": { "@type": "PropertyValue", "propertyID": "doi", "value": "10.5194/egusphere-egu23-12314" } }, { "@type": "CreativeWork", "@id": "https://doi.org/10.5194/egusphere-egu23-4916", "name": "Downscaling the ESA CCI Soil Moisture: a new European dataset at 1 km for the period 2008-202", "identifier": { "@type": "PropertyValue", "propertyID": "doi", "value": "10.5194/egusphere-egu23-4916" } }, { "@type": "CreativeWork", "@id": "https://doi.org/10.5194/egusphere-egu23-13224", "name": "ESA CCI and C3S Soil Moisture - New developments and recent applications", "identifier": { "@type": "PropertyValue", "propertyID": "doi", "value": "10.5194/egusphere-egu23-13224" } }, { "@type": "CreativeWork", "@id": "https://doi.org/10.5194/egusphere-egu23-13976", "name": "Effect of socioeconomic variables in predicting global wildfire ignition occurrence", "identifier": { "@type": "PropertyValue", "propertyID": "doi", "value": "10.5194/egusphere-egu23-13976" } }, { "@type": "CreativeWork", "@id": "https://doi.org/10.5194/egusphere-egu23-11534", "name": "Effects of bias in an \u00a0LAI data assimilation system on carbon uptake and hydrological variables and \u00a0over Europe", "identifier": { "@type": "PropertyValue", "propertyID": "doi", "value": "10.5194/egusphere-egu23-11534" } }, { "@type": "CreativeWork", "@id": "https://doi.org/10.5194/egusphere-egu23-8102", "name": "Fiducial Reference Measurements for Soil Moisture (FRM4SM): Toward a better understanding of (satellite) soil moisture uncertainties", "identifier": { "@type": "PropertyValue", "propertyID": "doi", "value": "10.5194/egusphere-egu23-8102" } }, { "@type": "CreativeWork", "@id": "https://doi.org/10.5194/egusphere-egu23-10289", "name": "G3P: A global data set of groundwater storage variations based on satellite gravimetry", "identifier": { "@type": "PropertyValue", "propertyID": "doi", "value": "10.5194/egusphere-egu23-10289" } }, { "@type": "CreativeWork", "@id": "https://doi.org/10.5194/egusphere-egu23-8175", "name": "Improved data-driven ecosystem carbon fluxes under moisture stress through synergistic Earth observations", "identifier": { "@type": "PropertyValue", "propertyID": "doi", "value": "10.5194/egusphere-egu23-8175" } }, { "@type": "CreativeWork", "@id": "https://doi.org/10.5194/egusphere-egu23-9685", "name": "Improved uncertainty estimates for the exponential filter method in a long-term error characterised root-zone soil moisture dataset.", "identifier": { "@type": "PropertyValue", "propertyID": "doi", "value": "10.5194/egusphere-egu23-9685" } }, { "@type": "CreativeWork", "@id": "https://doi.org/10.5194/egusphere-egu23-12716", "name": "Investigating causal effects of anthropogenic factors on global fire modeling", "identifier": { "@type": "PropertyValue", "propertyID": "doi", "value": "10.5194/egusphere-egu23-12716" } }, { "@type": "CreativeWork", "@id": "https://doi.org/10.5194/egusphere-egu23-8638", "name": "Joint assimilation of SMAP soil moisture and AMSR2 vegetation optical depth retrievals into the Noah-MP land surface model", "identifier": { "@type": "PropertyValue", "propertyID": "doi", "value": "10.5194/egusphere-egu23-8638" } }, { "@type": "CreativeWork", "@id": "https://doi.org/10.5194/egusphere-egu23-15519", "name": "Maize and wheat yield forecasting in the Pannonian Basin using extreme gradient boosting and its performance in years of severe drought", "identifier": { "@type": "PropertyValue", "propertyID": "doi", "value": "10.5194/egusphere-egu23-15519" } }, { "@type": "CreativeWork", "@id": "https://doi.org/10.5194/egusphere-egu23-14267", "name": "QA4SM: a service for transparent and reproducible evaluation of satellite soil moisture products", "identifier": { "@type": "PropertyValue", "propertyID": "doi", "value": "10.5194/egusphere-egu23-14267" } }, { "@type": "CreativeWork", "@id": "https://doi.org/10.5194/egusphere-egu23-12005", "name": "Seven Frozen Trees in Sodankyla: Relating ASCAT slope to water and carbon processes over a Boreal forest using in-situ, model and reanalysis data", "identifier": { "@type": "PropertyValue", "propertyID": "doi", "value": "10.5194/egusphere-egu23-12005" } }, { "@type": "CreativeWork", "@id": "https://doi.org/10.5194/egusphere-egu23-8876", "name": "Using satellite, airborne laser scanning and socio-economic data in a machine learning framework for improved fire danger modelling in the Alps", "identifier": { "@type": "PropertyValue", "propertyID": "doi", "value": "10.5194/egusphere-egu23-8876" } }, { "@type": "CreativeWork", "@id": "https://doi.org/10.5194/egusphere-egu23-13458", "name": "VODCA v2: An updated long-term vegetation optical depth dataset for ecosystem monitoring", "identifier": { "@type": "PropertyValue", "propertyID": "doi", "value": "10.5194/egusphere-egu23-13458" } }, { "@type": "CreativeWork", "@id": "https://doi.org/10.3390/fire6050197", "name": "Effect of Socioeconomic Variables in Predicting Global Fire Ignition Occurrence", "identifier": { "@type": "PropertyValue", "propertyID": "doi", "value": "10.3390/fire6050197" } }, { "@type": "CreativeWork", "@id": "https://doi.org/10.5194/hess-27-1221-2023", "name": "Soil moisture estimates at 1 km resolution making a synergistic use of Sentinel data", "identifier": { "@type": "PropertyValue", "propertyID": "doi", "value": "10.5194/hess-27-1221-2023" } }, { "@type": "CreativeWork", "@id": "https://doi.org/10.5194/bg-20-1027-2023", "name": "Assessing the sensitivity of multi-frequency passive microwave vegetation optical depth to vegetation properties", "identifier": { "@type": "PropertyValue", "propertyID": "doi", "value": "10.5194/bg-20-1027-2023" } }, { "@type": "CreativeWork", "@id": "https://doi.org/10.5194/egusphere-2023-47", "name": "Uncertainty estimation for a new exponential filter-based long-term root-zone soil moisture dataset from C3S surface observations", "identifier": { "@type": "PropertyValue", "propertyID": "doi", "value": "10.5194/egusphere-2023-47" } }, { "@type": "CreativeWork", "@id": "https://doi.org/10.5194/esd-14-173-2023", "name": "Reliability of resilience estimation based on multi-instrument time series", "identifier": { "@type": "PropertyValue", "propertyID": "doi", "value": "10.5194/esd-14-173-2023" } }, { "@type": "CreativeWork", "@id": "https://doi.org/10.5194/hess-27-39-2023", "name": "Estimating leaf moisture content at global scale from passive microwave satellite observations of vegetation optical depth", "identifier": { "@type": "PropertyValue", "propertyID": "doi", "value": "10.5194/hess-27-39-2023" } }, { "@type": "CreativeWork", "@id": "https://doi.org/10.5194/egusphere-2022-1137", "name": "Effects of a biased LAI data assimilation system on hydrological variables and carbon uptake over Europe", "identifier": { "@type": "PropertyValue", "propertyID": "doi", "value": "10.5194/egusphere-2022-1137" } }, { "@type": "CreativeWork", "@id": "https://doi.org/10.5194/bg-19-5107-2022", "name": "Monitoring vegetation condition using microwave remote sensing: the standardized vegetation optical depth index (SVODI)", "identifier": { "@type": "PropertyValue", "propertyID": "doi", "value": "10.5194/bg-19-5107-2022" } }, { "@type": "CreativeWork", "@id": "https://doi.org/10.21203/rs.3.rs-2162650/v1", "name": "Continuous increase in evaporative demand shortens the growing season of European ecosystems in the last decade", "identifier": { "@type": "PropertyValue", "propertyID": "doi", "value": "10.21203/rs.3.rs-2162650/v1" } }, { "@type": "CreativeWork", "@id": "https://doi.org/10.5194/gstm2022-79", "name": "The Global Gravity-based Groundwater Product (G3P)", "identifier": { "@type": "PropertyValue", "propertyID": "doi", "value": "10.5194/gstm2022-79" } }, { "@type": "CreativeWork", "@id": "https://doi.org/10.5194/esd-2022-41", "name": "Reliability of Resilience Estimation based on Multi-Instrument Time Series", "identifier": { "@type": "PropertyValue", "propertyID": "doi", "value": "10.5194/esd-2022-41" } }, { "@type": "CreativeWork", "@id": "https://doi.org/10.5194/esd-2022-41-supplement", "name": "Supplementary material to \"Reliability of Resilience Estimation based on Multi-Instrument Time Series\"", "identifier": { "@type": "PropertyValue", "propertyID": "doi", "value": "10.5194/esd-2022-41-supplement" } }, { "@type": "CreativeWork", "@id": "https://doi.org/10.1029/2022gl099635", "name": "Satellite\u2010Observed Vegetation Responses to Intraseasonal Precipitation Variability", "identifier": { "@type": "PropertyValue", "propertyID": "doi", "value": "10.1029/2022gl099635" } }, { "@type": "CreativeWork", "@id": "https://doi.org/10.5194/hess-26-3611-2022", "name": "Characterizing natural variability in complex hydrological systems using passive microwave-based climate data records: a case study for the Okavango Delta", "identifier": { "@type": "PropertyValue", "propertyID": "doi", "value": "10.5194/hess-26-3611-2022" } }, { "@type": "CreativeWork", "@id": "https://doi.org/10.5194/egusphere-2022-558", "name": "Soil moisture retrieval at 1-km resolution making a synergistic use of Sentinel-1/2/3 data", "identifier": { "@type": "PropertyValue", "propertyID": "doi", "value": "10.5194/egusphere-2022-558" } }, { "@type": "CreativeWork", "@id": "https://doi.org/10.5194/bg-2022-85", "name": "Assessing the sensitivity of multi-frequency passive microwave vegetation optical depth to vegetation properties", "identifier": { "@type": "PropertyValue", "propertyID": "doi", "value": "10.5194/bg-2022-85" } }, { "@type": "CreativeWork", "@id": "https://doi.org/10.5194/bg-2022-85-supplement", "name": "Supplementary material to \"Assessing the sensitivity of multi-frequency passive microwave vegetation optical depth to vegetation properties\"", "identifier": { "@type": "PropertyValue", "propertyID": "doi", "value": "10.5194/bg-2022-85-supplement" } }, { "@type": "CreativeWork", "@id": "https://doi.org/10.5194/hess-2022-121", "name": "Estimating leaf moisture content at global scale from passive microwave satellite observations of vegetation optical depth", "identifier": { "@type": "PropertyValue", "propertyID": "doi", "value": "10.5194/hess-2022-121" } }, { "@type": "CreativeWork", "@id": "https://doi.org/10.5194/egusphere-egu22-8370", "name": "Assessment of an ESA CCI Soil Moisture data assimilation framework", "identifier": { "@type": "PropertyValue", "propertyID": "doi", "value": "10.5194/egusphere-egu22-8370" } }, { "@type": "CreativeWork", "@id": "https://doi.org/10.5194/egusphere-egu22-11252", "name": "Characterising recent drought events using current reanalysis and remote-sensing soil moisture products with a standardised anomalies-based framework", "identifier": { "@type": "PropertyValue", "propertyID": "doi", "value": "10.5194/egusphere-egu22-11252" } }, { "@type": "CreativeWork", "@id": "https://doi.org/10.5194/egusphere-egu22-10279", "name": "Global monitoring of vegetation conditions and GPP from 30 years of passive microwave observations", "identifier": { "@type": "PropertyValue", "propertyID": "doi", "value": "10.5194/egusphere-egu22-10279" } }, { "@type": "CreativeWork", "@id": "https://doi.org/10.5194/egusphere-egu22-12559", "name": "Monitoring drought impact on vegetation with Sentinel-1", "identifier": { "@type": "PropertyValue", "propertyID": "doi", "value": "10.5194/egusphere-egu22-12559" } }, { "@type": "CreativeWork", "@id": "https://doi.org/10.5194/egusphere-egu22-11157", "name": "Remote sensing-based monitoring of the water surfaces in the Neusiedler See – Seewinkel National Park", "identifier": { "@type": "PropertyValue", "propertyID": "doi", "value": "10.5194/egusphere-egu22-11157" } }, { "@type": "CreativeWork", "@id": "https://doi.org/10.5194/egusphere-egu22-10123", "name": "The International Soil Moisture Network: supporting and advancing EO research through open source in-situ soil moisture observations", "identifier": { "@type": "PropertyValue", "propertyID": "doi", "value": "10.5194/egusphere-egu22-10123" } }, { "@type": "CreativeWork", "@id": "https://doi.org/10.5194/egusphere-egu22-3564", "name": "Benefits of Sentinel-1 backscatter assimilation to improve land surface model irrigation estimates in Europe", "identifier": { "@type": "PropertyValue", "propertyID": "doi", "value": "10.5194/egusphere-egu22-3564" } }, { "@type": "CreativeWork", "@id": "https://doi.org/10.5194/egusphere-egu22-4023", "name": "Characterizing natural variability in complex hydrological systems using Passive Microwave based Climate Data Records: a case study for the Okavango Delta", "identifier": { "@type": "PropertyValue", "propertyID": "doi", "value": "10.5194/egusphere-egu22-4023" } }, { "@type": "CreativeWork", "@id": "https://doi.org/10.5194/egusphere-egu22-2147", "name": "Evaluating high resolution soil moisture maps in the framework of the ESA CCI", "identifier": { "@type": "PropertyValue", "propertyID": "doi", "value": "10.5194/egusphere-egu22-2147" } }, { "@type": "CreativeWork", "@id": "https://doi.org/10.5194/egusphere-egu22-5814", "name": "Satellite-observed vegetation responses to intraseasonal rainfall variability", "identifier": { "@type": "PropertyValue", "propertyID": "doi", "value": "10.5194/egusphere-egu22-5814" } }, { "@type": "CreativeWork", "@id": "https://doi.org/10.5194/essd-14-1063-2022", "name": "VODCA2GPP \u2013 a new, global, long-term (1988\u20132020) gross primary production dataset from microwave remote sensing", "identifier": { "@type": "PropertyValue", "propertyID": "doi", "value": "10.5194/essd-14-1063-2022" } }, { "@type": "CreativeWork", "@id": "https://doi.org/10.5194/hess-26-841-2022", "name": "Monitoring surface water dynamics in the Prairie Pothole Region of North Dakota using dual-polarised Sentinel-1 synthetic aperture radar (SAR) time series", "identifier": { "@type": "PropertyValue", "propertyID": "doi", "value": "10.5194/hess-26-841-2022" } }, { "@type": "CreativeWork", "@id": "https://doi.org/10.5194/bg-2021-360", "name": "Monitoring Vegetation Condition using Microwave Remote Sensing: The Standardized Vegetation Optical Depth Index SVODI", "identifier": { "@type": "PropertyValue", "propertyID": "doi", "value": "10.5194/bg-2021-360" } }, { "@type": "CreativeWork", "@id": "https://doi.org/10.5194/hess-2021-637", "name": "Characterizing natural variability in complex hydrological systems using Passive Microwave based Climate Data Records: a case study for the Okavango Delta", "identifier": { "@type": "PropertyValue", "propertyID": "doi", "value": "10.5194/hess-2021-637" } }, { "@type": "CreativeWork", "@id": "https://doi.org/10.3390/w14020172", "name": "The Gavkhouni Wetland Dryness and Its Impact on Air Temperature Variability in the Eastern Part of the Zayandeh-Rud River Basin, Iran", "identifier": { "@type": "PropertyValue", "propertyID": "doi", "value": "10.3390/w14020172" } }, { "@type": "CreativeWork", "@id": "https://doi.org/10.5194/hess-25-5749-2021", "name": "The International Soil Moisture Network: serving Earth system science for over a decade", "identifier": { "@type": "PropertyValue", "propertyID": "doi", "value": "10.5194/hess-25-5749-2021" } }, { "@type": "CreativeWork", "@id": "https://doi.org/10.5194/hess-2021-330", "name": "Monitoring Surface Water Dynamics in the Prairie Pothole Region Using Dual-Polarised Sentinel-1 SAR Time Series", "identifier": { "@type": "PropertyValue", "propertyID": "doi", "value": "10.5194/hess-2021-330" } }, { "@type": "CreativeWork", "@id": "https://doi.org/10.5194/essd-2021-209", "name": "VODCA2GPP \u2013 A new global, long-term (1988\u20132020) GPP dataset from microwave remote sensing", "identifier": { "@type": "PropertyValue", "propertyID": "doi", "value": "10.5194/essd-2021-209" } }, { "@type": "CreativeWork", "@id": "https://doi.org/10.5194/ems2021-368", "name": "The International Soil Moisture Network: an open-source data hosting facility in support of meteorology and climate science", "identifier": { "@type": "PropertyValue", "propertyID": "doi", "value": "10.5194/ems2021-368" } }, { "@type": "CreativeWork", "@id": "https://doi.org/10.5194/bg-18-3285-2021", "name": "Impact of temperature and water availability on microwave-derived gross primary production", "identifier": { "@type": "PropertyValue", "propertyID": "doi", "value": "10.5194/bg-18-3285-2021" } }, { "@type": "CreativeWork", "@id": "https://doi.org/10.5194/egusphere-egu21-9033", "name": "Derivating forest structure from Sentinel-1 time series to assist forest fire risk assessments", "identifier": { "@type": "PropertyValue", "propertyID": "doi", "value": "10.5194/egusphere-egu21-9033" } }, { "@type": "CreativeWork", "@id": "https://doi.org/10.5194/egusphere-egu21-9796", "name": "ESA CCI and C3S Soil Moisture Products: Generation and Quality Assurance", "identifier": { "@type": "PropertyValue", "propertyID": "doi", "value": "10.5194/egusphere-egu21-9796" } }, { "@type": "CreativeWork", "@id": "https://doi.org/10.5194/egusphere-egu21-10337", "name": "Global Terrestrial Network of Water Resources Observation Infrastructures", "identifier": { "@type": "PropertyValue", "propertyID": "doi", "value": "10.5194/egusphere-egu21-10337" } }, { "@type": "CreativeWork", "@id": "https://doi.org/10.5194/egusphere-egu21-7504", "name": "L-band soil moisture retrievals using microwave based temperature and filtering. Towards model-independent climate data records", "identifier": { "@type": "PropertyValue", "propertyID": "doi", "value": "10.5194/egusphere-egu21-7504" } }, { "@type": "CreativeWork", "@id": "https://doi.org/10.5194/egusphere-egu21-16145", "name": "More than 10 years of The International Soil Moisture Network (ISMN) in support of EO science", "identifier": { "@type": "PropertyValue", "propertyID": "doi", "value": "10.5194/egusphere-egu21-16145" } }, { "@type": "CreativeWork", "@id": "https://doi.org/10.5194/egusphere-egu21-7398", "name": "QA4SM – An online tool for satellite soil moisture data validation", "identifier": { "@type": "PropertyValue", "propertyID": "doi", "value": "10.5194/egusphere-egu21-7398" } }, { "@type": "CreativeWork", "@id": "https://doi.org/10.5194/egusphere-egu21-8737", "name": "Remote Sensing of Surface Water Dynamics Between 2015 and 2020 in the Prairie Pothole Region ", "identifier": { "@type": "PropertyValue", "propertyID": "doi", "value": "10.5194/egusphere-egu21-8737" } }, { "@type": "CreativeWork", "@id": "https://doi.org/10.5194/egusphere-egu21-10740", "name": "The development and relevance of a consistent flagging strategy for multi-sensor satellite soil moisture climate records", "identifier": { "@type": "PropertyValue", "propertyID": "doi", "value": "10.5194/egusphere-egu21-10740" } }, { "@type": "CreativeWork", "@id": "https://doi.org/10.5194/egusphere-egu21-12268", "name": "Towards an operationally capable satellite-based 0-100 cm soil moisture dataset from C3S", "identifier": { "@type": "PropertyValue", "propertyID": "doi", "value": "10.5194/egusphere-egu21-12268" } }, { "@type": "CreativeWork", "@id": "https://doi.org/10.5194/egusphere-egu21-1115", "name": "Detection and quantification of irrigation water amounts at sub-kilometric scale using Sentinel-1 surface soil moisture", "identifier": { "@type": "PropertyValue", "propertyID": "doi", "value": "10.5194/egusphere-egu21-1115" } }, { "@type": "CreativeWork", "@id": "https://doi.org/10.5194/egusphere-egu21-4800", "name": "Towards the removal of model bias from ESA CCI SM by using an L-band scaling reference", "identifier": { "@type": "PropertyValue", "propertyID": "doi", "value": "10.5194/egusphere-egu21-4800" } }, { "@type": "CreativeWork", "@id": "https://doi.org/10.3390/rs13040798", "name": "Potential of Sentinel-1 C-Band Time Series to Derive Structural Parameters of Temperate Deciduous Forests", "identifier": { "@type": "PropertyValue", "propertyID": "doi", "value": "10.3390/rs13040798" } }, { "@type": "CreativeWork", "@id": "https://doi.org/10.5194/hess-2021-2", "name": "The International Soil Moisture Network: serving Earth system science for over a decade", "identifier": { "@type": "PropertyValue", "propertyID": "doi", "value": "10.5194/hess-2021-2" } }, { "@type": "CreativeWork", "@id": "https://doi.org/10.5194/hess-25-17-2021", "name": "Evaluation of 18 satellite- and model-based soil moisture products using in situ measurements from 826 sensors", "identifier": { "@type": "PropertyValue", "propertyID": "doi", "value": "10.5194/hess-25-17-2021" } }, { "@type": "CreativeWork", "@id": "https://doi.org/10.5194/bg-2020-413", "name": "Impact of temperature and water availability on microwave-derived gross primary production", "identifier": { "@type": "PropertyValue", "propertyID": "doi", "value": "10.5194/bg-2020-413" } }, { "@type": "CreativeWork", "@id": "https://doi.org/10.3390/rs12203404", "name": "Sentinel-1 Cross Ratio and Vegetation Optical Depth: A Comparison over Europe", "identifier": { "@type": "PropertyValue", "propertyID": "doi", "value": "10.3390/rs12203404" } }, { "@type": "CreativeWork", "@id": "https://doi.org/10.3390/rs12203439", "name": "Reconciling Flagging Strategies for Multi-Sensor Satellite Soil Moisture Climate Data Records", "identifier": { "@type": "PropertyValue", "propertyID": "doi", "value": "10.3390/rs12203439" } }, { "@type": "CreativeWork", "@id": "https://doi.org/10.3390/rs12142275", "name": "Triple Collocation-Based Assessment of Satellite Soil Moisture Products with In Situ Measurements in China: Understanding the Error Sources", "identifier": { "@type": "PropertyValue", "propertyID": "doi", "value": "10.3390/rs12142275" } }, { "@type": "CreativeWork", "@id": "https://doi.org/10.5194/hess-2020-184", "name": "Evaluation of 18 satellite- and model-based soil moisture products using in situ measurements from 826 sensors", "identifier": { "@type": "PropertyValue", "propertyID": "doi", "value": "10.5194/hess-2020-184" } }, { "@type": "CreativeWork", "@id": "https://doi.org/10.5194/hess-2020-184-supplement", "name": "Supplementary material to "Evaluation of 18 satellite- and model-based soil moisture products using in situ measurements from 826 sensors"", "identifier": { "@type": "PropertyValue", "propertyID": "doi", "value": "10.5194/hess-2020-184-supplement" } }, { "@type": "CreativeWork", "@id": "https://doi.org/10.5194/gi-9-117-2020", "name": "Evaluating the suitability of the consumer low-cost Parrot Flower Power soil moisture sensor for scientific environmental applications", "identifier": { "@type": "PropertyValue", "propertyID": "doi", "value": "10.5194/gi-9-117-2020" } }, { "@type": "CreativeWork", "@id": "https://doi.org/10.5194/egusphere-egu2020-17875", "name": "A new global Gross Primary Production (GPP) dataset based on microwave Vegetation Optical Depth Climate Archive (VODCA)", "identifier": { "@type": "PropertyValue", "propertyID": "doi", "value": "10.5194/egusphere-egu2020-17875" } }, { "@type": "CreativeWork", "@id": "https://doi.org/10.5194/egusphere-egu2020-10931", "name": "Assessing the sensitivity of multi-frequency vegetation optical depth to biomass and canopy moisture content: towards an ecological-oriented evaluation", "identifier": { "@type": "PropertyValue", "propertyID": "doi", "value": "10.5194/egusphere-egu2020-10931" } }, { "@type": "CreativeWork", "@id": "https://doi.org/10.5194/egusphere-egu2020-9955", "name": "C-band microwave sensors reflect the spring water uptake of temperate deciduous broadleaf trees", "identifier": { "@type": "PropertyValue", "propertyID": "doi", "value": "10.5194/egusphere-egu2020-9955" } }, { "@type": "CreativeWork", "@id": "https://doi.org/10.5194/egusphere-egu2020-10860", "name": "Characterising vegetation fuel moisture conditions from microwave satellite observations for fire danger prediction at continental to global scales", "identifier": { "@type": "PropertyValue", "propertyID": "doi", "value": "10.5194/egusphere-egu2020-10860" } }, { "@type": "CreativeWork", "@id": "https://doi.org/10.5194/egusphere-egu2020-19198", "name": "ESA CCI and C3S Soil Moisture: latest product updates and climate assessments", "identifier": { "@type": "PropertyValue", "propertyID": "doi", "value": "10.5194/egusphere-egu2020-19198" } }, { "@type": "CreativeWork", "@id": "https://doi.org/10.5194/egusphere-egu2020-3462", "name": "Error assessment of precipitation products based on the elevations and extreme events", "identifier": { "@type": "PropertyValue", "propertyID": "doi", "value": "10.5194/egusphere-egu2020-3462" } }, { "@type": "CreativeWork", "@id": "https://doi.org/10.5194/egusphere-egu2020-8338", "name": "Estimation of high-resolution soil moisture using machine learning, satellite observations and ground measurements. A case study in a hilly agricultural region", "identifier": { "@type": "PropertyValue", "propertyID": "doi", "value": "10.5194/egusphere-egu2020-8338" } }, { "@type": "CreativeWork", "@id": "https://doi.org/10.5194/egusphere-egu2020-10972", "name": "Global assessment of 15 satellite- and model-based soil moisture products for operational drought monitoring", "identifier": { "@type": "PropertyValue", "propertyID": "doi", "value": "10.5194/egusphere-egu2020-10972" } }, { "@type": "CreativeWork", "@id": "https://doi.org/10.5194/egusphere-egu2020-18700", "name": "Impact of soil wetness on plant litter decomposition using low-cost soil moisture sensors and off-the-shelf tea bags", "identifier": { "@type": "PropertyValue", "propertyID": "doi", "value": "10.5194/egusphere-egu2020-18700" } }, { "@type": "CreativeWork", "@id": "https://doi.org/10.5194/egusphere-egu2020-19099", "name": "QA4SM: Development of a traceable online satellite soil moisture validation system", "identifier": { "@type": "PropertyValue", "propertyID": "doi", "value": "10.5194/egusphere-egu2020-19099" } }, { "@type": "CreativeWork", "@id": "https://doi.org/10.5194/egusphere-egu2020-18889", "name": "The Global Long-term Microwave Vegetation Optical Depth Climate Archive VODCA", "identifier": { "@type": "PropertyValue", "propertyID": "doi", "value": "10.5194/egusphere-egu2020-18889" } }, { "@type": "CreativeWork", "@id": "https://doi.org/10.5194/egusphere-egu2020-16493", "name": "The International Soil Moisture Network in assistance of EO soil moisture validation products, services and models", "identifier": { "@type": "PropertyValue", "propertyID": "doi", "value": "10.5194/egusphere-egu2020-16493" } }, { "@type": "CreativeWork", "@id": "https://doi.org/10.5194/egusphere-egu2020-18547", "name": "The International Soil Moisture Network: an open-source data hosting facility in support of hydrological research", "identifier": { "@type": "PropertyValue", "propertyID": "doi", "value": "10.5194/egusphere-egu2020-18547" } }, { "@type": "CreativeWork", "@id": "https://doi.org/10.5194/egusphere-egu2020-15066", "name": "Towards long-term satellite root-zone soil moisture: 40-year Soil Water Index dataset from ESA CCI COMBINED Soil Moisture product.", "identifier": { "@type": "PropertyValue", "propertyID": "doi", "value": "10.5194/egusphere-egu2020-15066" } }, { "@type": "CreativeWork", "@id": "https://doi.org/10.5194/essd-12-177-2020", "name": "The global long-term microwave Vegetation Optical Depth Climate Archive (VODCA)", "identifier": { "@type": "PropertyValue", "propertyID": "doi", "value": "10.5194/essd-12-177-2020" } }, { "@type": "CreativeWork", "@id": "https://doi.org/10.3390/rs11222596", "name": "Deriving Field Scale Soil Moisture from Satellite Observations and Ground Measurements in a Hilly Agricultural Region", "identifier": [ { "@type": "PropertyValue", "propertyID": "eid", "value": "2-s2.0-85075369210" }, { "@type": "PropertyValue", "propertyID": "doi", "value": "10.3390/rs11222596" } ] }, { "@type": "CreativeWork", "@id": "https://doi.org/10.5194/gi-2019-38", "name": "Evaluating the suitability of the consumer low-cost Parrot Flower Power soil moisture sensor for scientific environmental applications", "identifier": { "@type": "PropertyValue", "propertyID": "doi", "value": "10.5194/gi-2019-38" } }, { "@type": "CreativeWork", "@id": "https://doi.org/10.3390/rs11172018", "name": "Performance of the State-Of-The-Art Gridded Precipitation Products over Mountainous Terrain: A Regional Study over Austria", "identifier": [ { "@type": "PropertyValue", "propertyID": "doi", "value": "10.3390/rs11172018" }, { "@type": "PropertyValue", "propertyID": "eid", "value": "2-s2.0-85071977771" } ] }, { "@type": "CreativeWork", "@id": "https://doi.org/10.1088/2515-7620/ab25d2", "name": "Recent global and regional trends in burned area and their compensating environmental controls", "identifier": { "@type": "PropertyValue", "propertyID": "doi", "value": "10.1088/2515-7620/ab25d2" } }, { "@type": "CreativeWork", "@id": "https://doi.org/10.5194/essd-2019-42-supplement", "name": "Supplementary material to "The Global Long-term Microwave Vegetation Optical Depth Climate Archive VODCA"", "identifier": { "@type": "PropertyValue", "propertyID": "doi", "value": "10.5194/essd-2019-42-supplement" } }, { "@type": "CreativeWork", "@id": "https://doi.org/10.5194/essd-2019-42", "name": "The Global Long-term Microwave Vegetation Optical Depth Climate Archive VODCA", "identifier": { "@type": "PropertyValue", "propertyID": "doi", "value": "10.5194/essd-2019-42" } }, { "@type": "CreativeWork", "@id": "https://doi.org/10.5194/essd-2019-21", "name": "Evolution of the ESA CCI Soil Moisture Climate Data Records and their underlying merging methodology", "identifier": { "@type": "PropertyValue", "propertyID": "doi", "value": "10.5194/essd-2019-21" } }, { "@type": "CreativeWork", "@id": "https://doi.org/10.1016/j.rse.2019.04.022", "name": "A carbon sink-driven approach to estimate gross primary production from microwave satellite observations", "identifier": [ { "@type": "PropertyValue", "propertyID": "eid", "value": "2-s2.0-85065444978" }, { "@type": "PropertyValue", "propertyID": "doi", "value": "10.1016/j.rse.2019.04.022" } ] }, { "@type": "CreativeWork", "@id": "https://doi.org/10.1016/j.rse.2019.02.008", "name": "Assessment and inter-comparison of recently developed/reprocessed microwave satellite soil moisture products using ISMN ground-based measurements", "identifier": [ { "@type": "PropertyValue", "propertyID": "eid", "value": "2-s2.0-85061808950" }, { "@type": "PropertyValue", "propertyID": "doi", "value": "10.1016/j.rse.2019.02.008" } ] }, { "@type": "CreativeWork", "@id": "https://doi.org/10.1038/s41598-019-55187-7", "name": "Constraining modelled global vegetation dynamics and carbon turnover using multiple satellite observations", "identifier": [ { "@type": "PropertyValue", "propertyID": "doi", "value": "10.1038/s41598-019-55187-7" }, { "@type": "PropertyValue", "propertyID": "eid", "value": "2-s2.0-85076435784" } ] }, { "@type": "CreativeWork", "@id": "https://doi.org/10.5194/bg-16-57-2019", "name": "Emergent relationships with respect to burned area in global satellite observations and fire-enabled vegetation models", "identifier": [ { "@type": "PropertyValue", "propertyID": "doi", "value": "10.5194/bg-16-57-2019" }, { "@type": "PropertyValue", "propertyID": "eid", "value": "2-s2.0-85059952089" } ] }, { "@type": "CreativeWork", "@id": "https://doi.org/10.5194/hess-23-897-2019", "name": "Estimating irrigation water use over the contiguous United States by combining satellite and reanalysis soil moisture data", "identifier": [ { "@type": "PropertyValue", "propertyID": "doi", "value": "10.5194/hess-23-897-2019" }, { "@type": "PropertyValue", "propertyID": "eid", "value": "2-s2.0-85061941718" } ] }, { "@type": "CreativeWork", "@id": "https://doi.org/10.5194/essd-11-717-2019", "name": "Evolution of the ESA CCI Soil Moisture climate data records and their underlying merging methodology", "identifier": [ { "@type": "PropertyValue", "propertyID": "eid", "value": "2-s2.0-85066089170" }, { "@type": "PropertyValue", "propertyID": "doi", "value": "10.5194/essd-11-717-2019" } ] }, { "@type": "CreativeWork", "@id": "https://doi.org/10.5194/hess-23-465-2019", "name": "Integrating multiple satellite observations into a coherent dataset to monitor the full water cycle - Application to the Mediterranean region", "identifier": [ { "@type": "PropertyValue", "propertyID": "eid", "value": "2-s2.0-85060617789" }, { "@type": "PropertyValue", "propertyID": "doi", "value": "10.5194/hess-23-465-2019" } ] }, { "@type": "CreativeWork", "@id": "https://doi.org/10.1175/2019bamsstateoftheclimate.1", "name": "State of the climate in 2018", "identifier": [ { "@type": "PropertyValue", "propertyID": "eid", "value": "2-s2.0-85073052511" }, { "@type": "PropertyValue", "propertyID": "doi", "value": "10.1175/2019bamsstateoftheclimate.1" } ] }, { "@type": "CreativeWork", "@id": "https://doi.org/10.1038/s41612-018-0053-5", "name": "Terrestrial evaporation response to modes of climate variability", "identifier": { "@type": "PropertyValue", "propertyID": "doi", "value": "10.1038/s41612-018-0053-5" } }, { "@type": "CreativeWork", "@id": "https://doi.org/10.5194/bg-2018-427", "name": "Emergent relationships on burned area in global satellite observations and fire-enabled vegetation models", "identifier": { "@type": "PropertyValue", "propertyID": "doi", "value": "10.5194/bg-2018-427" } }, { "@type": "CreativeWork", "@id": "https://doi.org/10.5194/bg-2018-427-supplement", "name": "Supplementary material to "Emergent relationships on burned area in global satellite observations and fire-enabled vegetation models"", "identifier": { "@type": "PropertyValue", "propertyID": "doi", "value": "10.5194/bg-2018-427-supplement" } }, { "@type": "CreativeWork", "@id": "https://doi.org/10.5194/hess-2018-388", "name": "Estimating irrigation water use over the contiguous United States by combining satellite and reanalysis soil moisture data", "identifier": { "@type": "PropertyValue", "propertyID": "doi", "value": "10.5194/hess-2018-388" } }, { "@type": "CreativeWork", "@id": "https://doi.org/10.5194/hess-2018-319", "name": "Integrating multiple satellite observations into a coherent dataset to monitor the full water cycle \u2013 Application to the Mediterranean region", "identifier": { "@type": "PropertyValue", "propertyID": "doi", "value": "10.5194/hess-2018-319" } }, { "@type": "CreativeWork", "@id": "https://doi.org/10.5194/hess-2017-705-rc4", "name": "review", "identifier": { "@type": "PropertyValue", "propertyID": "doi", "value": "10.5194/hess-2017-705-rc4" } }, { "@type": "CreativeWork", "@id": "https://doi.org/10.1016/j.jag.2017.10.006", "name": "Assessing the relationship between microwave vegetation optical depth and gross primary production", "identifier": [ { "@type": "PropertyValue", "propertyID": "doi", "value": "10.1016/j.jag.2017.10.006" }, { "@type": "PropertyValue", "propertyID": "eid", "value": "2-s2.0-85036508936" } ] }, { "@type": "CreativeWork", "@id": "https://doi.org/10.1002/2017wr021277", "name": "Assimilation of Spatially Sparse In Situ Soil Moisture Networks into a Continuous Model Domain", "identifier": [ { "@type": "PropertyValue", "propertyID": "eid", "value": "2-s2.0-85044418102" }, { "@type": "PropertyValue", "propertyID": "doi", "value": "10.1002/2017wr021277" } ] }, { "@type": "CreativeWork", "@id": "https://doi.org/10.1109/igarss.2018.8518161", "name": "Global estimation of soil moisture persistence with L and C-band microwave sensors", "identifier": [ { "@type": "PropertyValue", "propertyID": "eid", "value": "2-s2.0-85063146153" }, { "@type": "PropertyValue", "propertyID": "doi", "value": "10.1109/igarss.2018.8518161" } ] }, { "@type": "CreativeWork", "@id": "https://doi.org/10.1016/j.jag.2018.08.023", "name": "How much water is used for irrigation? A new approach exploiting coarse resolution satellite soil moisture products", "identifier": [ { "@type": "PropertyValue", "propertyID": "eid", "value": "2-s2.0-85056568167" }, { "@type": "PropertyValue", "propertyID": "doi", "value": "10.1016/j.jag.2018.08.023" } ] }, { "@type": "CreativeWork", "@id": "https://doi.org/10.5194/essd-10-267-2018", "name": "SM2RAIN-CCI: A new global long-term rainfall data set derived from ESA CCI soil moisture", "identifier": [ { "@type": "PropertyValue", "propertyID": "doi", "value": "10.5194/essd-10-267-2018" }, { "@type": "PropertyValue", "propertyID": "eid", "value": "2-s2.0-85041865496" } ] }, { "@type": "CreativeWork", "name": "State of the climate in 2017", "identifier": { "@type": "PropertyValue", "propertyID": "eid", "value": "2-s2.0-85053681754" } }, { "@type": "CreativeWork", "@id": "https://doi.org/10.1109/igarss.2018.8519579", "name": "Statistical merging of active and passive microwave observations into long-term soil moisture climate data records", "identifier": [ { "@type": "PropertyValue", "propertyID": "eid", "value": "2-s2.0-85064229837" }, { "@type": "PropertyValue", "propertyID": "doi", "value": "10.1109/igarss.2018.8519579" } ] }, { "@type": "CreativeWork", "@id": "https://doi.org/10.1109/igarss.2018.8517557", "name": "Validation of satellite microwave retrieved soil moisture with global ground-based measurements", "identifier": [ { "@type": "PropertyValue", "propertyID": "eid", "value": "2-s2.0-85057082200" }, { "@type": "PropertyValue", "propertyID": "doi", "value": "10.1109/igarss.2018.8517557" } ] }, { "@type": "CreativeWork", "@id": "https://doi.org/10.5194/essd-2017-86", "name": "SM2RAIN-CCI: A new global long-term rainfall data set derived from ESA CCI soil moisture", "identifier": { "@type": "PropertyValue", "propertyID": "doi", "value": "10.5194/essd-2017-86" } }, { "@type": "CreativeWork", "@id": "https://doi.org/10.5194/gmd-2017-121", "name": "Sequential assimilation of satellite-derived vegetation and soil moisture products using SURFEX_v8.0: LDAS-Monde assessment over the Euro-Mediterranean area", "identifier": { "@type": "PropertyValue", "propertyID": "doi", "value": "10.5194/gmd-2017-121" } }, { "@type": "CreativeWork", "@id": "https://doi.org/10.5194/bg-2016-557", "name": "Reviews and syntheses: Systematic Earth observations for use in terrestrial carbon cycle data assimilation systems", "identifier": { "@type": "PropertyValue", "propertyID": "doi", "value": "10.5194/bg-2016-557" } }, { "@type": "CreativeWork", "@id": "https://doi.org/10.5194/gmd-10-4443-2017", "name": "A data-driven approach to identify controls on global fire activity from satellite and climate observations (SOFIA V1)", "identifier": [ { "@type": "PropertyValue", "propertyID": "eid", "value": "2-s2.0-85037724105" }, { "@type": "PropertyValue", "propertyID": "doi", "value": "10.5194/gmd-10-4443-2017" } ] }, { "@type": "CreativeWork", "@id": "https://doi.org/10.5194/essd-9-389-2017", "name": "A global water resources ensemble of hydrological models: The eartH2Observe Tier-1 dataset", "identifier": [ { "@type": "PropertyValue", "propertyID": "eid", "value": "2-s2.0-85021752394" }, { "@type": "PropertyValue", "propertyID": "doi", "value": "10.5194/essd-9-389-2017" } ] }, { "@type": "CreativeWork", "@id": "https://doi.org/10.5194/gmd-10-1945-2017", "name": "A non-linear Granger-causality framework to investigate climate-vegetation dynamics", "identifier": [ { "@type": "PropertyValue", "propertyID": "eid", "value": "2-s2.0-85019587572" }, { "@type": "PropertyValue", "propertyID": "doi", "value": "10.5194/gmd-10-1945-2017" } ] }, { "@type": "CreativeWork", "@id": "https://doi.org/10.1109/multi-temp.2017.8035198", "name": "A non-linear data-driven approach to reveal global vegetation sensitivity to climate", "identifier": [ { "@type": "PropertyValue", "propertyID": "doi", "value": "10.1109/multi-temp.2017.8035198" }, { "@type": "PropertyValue", "propertyID": "eid", "value": "2-s2.0-85032355604" } ] }, { "@type": "CreativeWork", "@id": "https://doi.org/10.1109/jstars.2016.2618838", "name": "Assessing Vegetation Dynamics Over Mainland Australia With Metop ASCAT", "identifier": [ { "@type": "PropertyValue", "propertyID": "doi", "value": "10.1109/jstars.2016.2618838" }, { "@type": "PropertyValue", "propertyID": "eid", "value": "2-s2.0-84999266692" } ] }, { "@type": "CreativeWork", "@id": "https://doi.org/10.1016/j.rse.2017.07.001", "name": "ESA CCI Soil Moisture for improved Earth system understanding: State-of-the art and future directions", "identifier": [ { "@type": "PropertyValue", "propertyID": "doi", "value": "10.1016/j.rse.2017.07.001" }, { "@type": "PropertyValue", "propertyID": "eid", "value": "2-s2.0-85019587713" } ] }, { "@type": "CreativeWork", "@id": "https://doi.org/10.5194/gmd-10-1903-2017", "name": "GLEAM v3: Satellite-based land evaporation and root-zone soil moisture", "identifier": [ { "@type": "PropertyValue", "propertyID": "eid", "value": "2-s2.0-85019385091" }, { "@type": "PropertyValue", "propertyID": "doi", "value": "10.5194/gmd-10-1903-2017" } ] }, { "@type": "CreativeWork", "@id": "https://doi.org/10.1109/multi-temp.2017.8035200", "name": "Investigating the control of ocean-atmospheric oscillations over global terrestrial evaporation using a simple supervised learning method", "identifier": [ { "@type": "PropertyValue", "propertyID": "eid", "value": "2-s2.0-85032342608" }, { "@type": "PropertyValue", "propertyID": "doi", "value": "10.1109/multi-temp.2017.8035200" } ] }, { "@type": "CreativeWork", "@id": "https://doi.org/10.5194/bg-14-3401-2017", "name": "Reviews and syntheses: Systematic Earth observations for use in terrestrial carbon cycle data assimilation systems", "identifier": [ { "@type": "PropertyValue", "propertyID": "doi", "value": "10.5194/bg-14-3401-2017" }, { "@type": "PropertyValue", "propertyID": "eid", "value": "2-s2.0-85025133727" } ] }, { "@type": "CreativeWork", "@id": "https://doi.org/10.5194/gmd-10-3889-2017", "name": "Sequential assimilation of satellite-derived vegetation and soil moisture products using SURFEX-v8.0: LDAS-Monde assessment over the Euro-Mediterranean area", "identifier": [ { "@type": "PropertyValue", "propertyID": "doi", "value": "10.5194/gmd-10-3889-2017" }, { "@type": "PropertyValue", "propertyID": "eid", "value": "2-s2.0-85025168182" } ] }, { "@type": "CreativeWork", "@id": "https://doi.org/10.1175/2017bamsstateoftheclimate.1", "name": "State of the climate in 2016", "identifier": [ { "@type": "PropertyValue", "propertyID": "eid", "value": "2-s2.0-85028835793" }, { "@type": "PropertyValue", "propertyID": "doi", "value": "10.1175/2017bamsstateoftheclimate.1" } ] }, { "@type": "CreativeWork", "@id": "https://doi.org/10.1109/tgrs.2017.2734070", "name": "Triple Collocation-Based Merging of Satellite Soil Moisture Retrievals", "identifier": [ { "@type": "PropertyValue", "propertyID": "doi", "value": "10.1109/tgrs.2017.2734070" }, { "@type": "PropertyValue", "propertyID": "eid", "value": "2-s2.0-85030651801" } ] }, { "@type": "CreativeWork", "@id": "https://doi.org/10.1016/j.rse.2017.01.021", "name": "Validation of SMAP surface soil moisture products with core validation sites", "identifier": [ { "@type": "PropertyValue", "propertyID": "doi", "value": "10.1016/j.rse.2017.01.021" }, { "@type": "PropertyValue", "propertyID": "eid", "value": "2-s2.0-85010756628" } ] }, { "@type": "CreativeWork", "@id": "https://doi.org/10.1088/1748-9326/aa7145", "name": "Vegetation anomalies caused by antecedent precipitation in most of the world", "identifier": [ { "@type": "PropertyValue", "propertyID": "eid", "value": "2-s2.0-85019592167" }, { "@type": "PropertyValue", "propertyID": "doi", "value": "10.1088/1748-9326/aa7145" } ] }, { "@type": "CreativeWork", "@id": "https://doi.org/10.5194/gmd-2016-301", "name": "Identifying required model structures to predict global fire activity from satellite and climate data", "identifier": { "@type": "PropertyValue", "propertyID": "doi", "value": "10.5194/gmd-2016-301" } }, { "@type": "CreativeWork", "@id": "https://doi.org/10.5194/gmd-2016-266", "name": "A non-linear Granger causality framework to investigate climate\u2013vegetation dynamics", "identifier": { "@type": "PropertyValue", "propertyID": "doi", "value": "10.5194/gmd-2016-266" } }, { "@type": "CreativeWork", "@id": "https://doi.org/10.5194/gmd-2016-162", "name": "GLEAM v3: satellite-based land evaporation and root-zone soil moisture", "identifier": { "@type": "PropertyValue", "propertyID": "doi", "value": "10.5194/gmd-2016-162" } }, { "@type": "CreativeWork", "@id": "https://doi.org/10.3390/rs8040340", "name": "A Combined Satellite-Derived Drought Indicator to Support Humanitarian Aid Organizations", "identifier": [ { "@type": "PropertyValue", "propertyID": "eid", "value": "2-s2.0-84971657404" }, { "@type": "PropertyValue", "propertyID": "doi", "value": "10.3390/rs8040340" } ] }, { "@type": "CreativeWork", "@id": "https://doi.org/10.1109/tgrs.2016.2519842", "name": "Analyzing the Vegetation Parameterization in the TU-Wien ASCAT Soil Moisture Retrieval", "identifier": [ { "@type": "PropertyValue", "propertyID": "doi", "value": "10.1109/tgrs.2016.2519842" }, { "@type": "PropertyValue", "propertyID": "eid", "value": "2-s2.0-84976207486" } ] }, { "@type": "CreativeWork", "@id": "https://doi.org/10.5194/hess-20-4191-2016", "name": "Combining satellite observations to develop a global soil moisture product for near-real-time applications", "identifier": [ { "@type": "PropertyValue", "propertyID": "doi", "value": "10.5194/hess-20-4191-2016" }, { "@type": "PropertyValue", "propertyID": "eid", "value": "2-s2.0-84992110541" } ] }, { "@type": "CreativeWork", "@id": "https://doi.org/10.1175/jhm-d-15-0196.1", "name": "Confronting weather and climate models with observational data from soil moisture networks over the United States", "identifier": [ { "@type": "PropertyValue", "propertyID": "eid", "value": "2-s2.0-84963623629" }, { "@type": "PropertyValue", "propertyID": "doi", "value": "10.1175/jhm-d-15-0196.1" } ] }, { "@type": "CreativeWork", "@id": "https://doi.org/10.1088/1748-9326/11/12/124007", "name": "Contribution of water-limited ecoregions to their own supply of rainfall", "identifier": [ { "@type": "PropertyValue", "propertyID": "doi", "value": "10.1088/1748-9326/11/12/124007" }, { "@type": "PropertyValue", "propertyID": "eid", "value": "2-s2.0-85008163197" } ] }, { "@type": "CreativeWork", "@id": "https://doi.org/10.1016/j.cub.2016.02.023", "name": "Drought, Mutualism Breakdown, and Landscape-Scale Degradation of Seagrass Beds", "identifier": [ { "@type": "PropertyValue", "propertyID": "eid", "value": "2-s2.0-84962032931" }, { "@type": "PropertyValue", "propertyID": "doi", "value": "10.1016/j.cub.2016.02.023" } ] }, { "@type": "CreativeWork", "@id": "https://doi.org/10.1002/2015jd024027", "name": "Estimating error cross-correlations in soil moisture data sets using extended collocation analysis", "identifier": [ { "@type": "PropertyValue", "propertyID": "doi", "value": "10.1002/2015jd024027" }, { "@type": "PropertyValue", "propertyID": "eid", "value": "2-s2.0-84959420206" } ] }, { "@type": "CreativeWork", "@id": "https://doi.org/10.1002/2016gl070458", "name": "Homogeneity of a global multisatellite soil moisture climate data record", "identifier": [ { "@type": "PropertyValue", "propertyID": "eid", "value": "2-s2.0-84996542566" }, { "@type": "PropertyValue", "propertyID": "doi", "value": "10.1002/2016gl070458" } ] }, { "@type": "CreativeWork", "@id": "https://doi.org/10.1016/j.jag.2016.02.007", "name": "Satellite soil moisture for advancing our understanding of earth system processes and climate change", "identifier": [ { "@type": "PropertyValue", "propertyID": "doi", "value": "10.1016/j.jag.2016.02.007" }, { "@type": "PropertyValue", "propertyID": "eid", "value": "2-s2.0-85015831253" } ] }, { "@type": "CreativeWork", "@id": "https://doi.org/10.1175/2016bamsstateoftheclimate.1", "name": "State of the climate in 2015", "identifier": [ { "@type": "PropertyValue", "propertyID": "eid", "value": "2-s2.0-84986201515" }, { "@type": "PropertyValue", "propertyID": "doi", "value": "10.1175/2016bamsstateoftheclimate.1" } ] }, { "@type": "CreativeWork", "@id": "https://doi.org/10.1175/jhm-d-15-0213.1", "name": "The impact of quadratic nonlinear relations between soil moisture products on uncertainty estimates from triple collocation analysis and two quadratic extensions", "identifier": [ { "@type": "PropertyValue", "propertyID": "eid", "value": "2-s2.0-84976866492" }, { "@type": "PropertyValue", "propertyID": "doi", "value": "10.1175/jhm-d-15-0213.1" } ] }, { "@type": "CreativeWork", "@id": "https://doi.org/10.5194/hessd-12-11549-2015", "name": "Combining satellite observations to develop a daily global soil moisture product for a wide range of applications", "identifier": { "@type": "PropertyValue", "propertyID": "doi", "value": "10.5194/hessd-12-11549-2015" } }, { "@type": "CreativeWork", "@id": "https://doi.org/10.1175/jhm-d-13-0200.1", "name": "A preliminary study toward consistent soil moisture from AMSR2", "identifier": [ { "@type": "PropertyValue", "propertyID": "eid", "value": "2-s2.0-84939793319" }, { "@type": "PropertyValue", "propertyID": "doi", "value": "10.1175/jhm-d-13-0200.1" } ] }, { "@type": "CreativeWork", "@id": "https://doi.org/10.1016/j.rse.2014.07.023", "name": "Evaluation of the ESA CCI soil moisture product using ground-based observations", "identifier": [ { "@type": "PropertyValue", "propertyID": "doi", "value": "10.1016/j.rse.2014.07.023" }, { "@type": "PropertyValue", "propertyID": "eid", "value": "2-s2.0-84929061651" } ] }, { "@type": "CreativeWork", "@id": "https://doi.org/10.5194/isprsarchives-xl-7-w3-545-2015", "name": "Long-term soil moisture time series analyses based on active microwave backscatter measurements", "identifier": [ { "@type": "PropertyValue", "propertyID": "doi", "value": "10.5194/isprsarchives-xl-7-w3-545-2015" }, { "@type": "PropertyValue", "propertyID": "eid", "value": "2-s2.0-84930402284" } ] }, { "@type": "CreativeWork", "@id": "https://doi.org/10.1175/2015bamsstateoftheclimate.1", "name": "State of the climate in 2014", "identifier": [ { "@type": "PropertyValue", "propertyID": "doi", "value": "10.1175/2015bamsstateoftheclimate.1" }, { "@type": "PropertyValue", "propertyID": "eid", "value": "2-s2.0-84939813863" } ] }, { "@type": "CreativeWork", "@id": "https://doi.org/10.1016/j.rse.2015.10.019", "name": "The potential of 2D Kalman filtering for soil moisture data assimilation", "identifier": [ { "@type": "PropertyValue", "propertyID": "doi", "value": "10.1016/j.rse.2015.10.019" }, { "@type": "PropertyValue", "propertyID": "eid", "value": "2-s2.0-84945383076" } ] }, { "@type": "CreativeWork", "@id": "https://doi.org/10.1109/tgrs.2013.2282172", "name": "Clarifications on the \"comparison between SMOS, VUA, ASCAT, and ECMWF Soil Moisture Products over Four Watersheds in U.S.\"", "identifier": [ { "@type": "PropertyValue", "propertyID": "doi", "value": "10.1109/tgrs.2013.2282172" }, { "@type": "PropertyValue", "propertyID": "eid", "value": "2-s2.0-84891555271" }, { "@type": "PropertyValue", "propertyID": "eid", "value": "2-s2.0-84886081833" } ] }, { "@type": "CreativeWork", "@id": "https://doi.org/10.1109/igarss.2014.6946971", "name": "Compared performances of microwave passive soil moisture retrievals (SMOS) and active soil moisture retrievals (ASCAT) using land surface model estimates (MERRA-LAND)", "identifier": [ { "@type": "PropertyValue", "propertyID": "eid", "value": "2-s2.0-84911380716" }, { "@type": "PropertyValue", "propertyID": "doi", "value": "10.1109/igarss.2014.6946971" } ] }, { "@type": "CreativeWork", "@id": "https://doi.org/10.1038/nclimate2068", "name": "El Ni\u00f1o-La Ni\u00f1a cycle and recent trends in continental evaporation", "identifier": [ { "@type": "PropertyValue", "propertyID": "eid", "value": "2-s2.0-84896809814" }, { "@type": "PropertyValue", "propertyID": "doi", "value": "10.1038/nclimate2068" } ] }, { "@type": "CreativeWork", "@id": "https://doi.org/10.1016/j.jhydrol.2014.07.052", "name": "Flood risk under future climate in data sparse regions: Linking extreme value models and flood generating processes", "identifier": [ { "@type": "PropertyValue", "propertyID": "eid", "value": "2-s2.0-84905844121" }, { "@type": "PropertyValue", "propertyID": "doi", "value": "10.1016/j.jhydrol.2014.07.052" } ] }, { "@type": "CreativeWork", "@id": "https://doi.org/10.1016/j.rse.2014.07.013", "name": "Global-scale comparison of passive (SMOS) and active (ASCAT) satellite based microwave soil moisture retrievals with soil moisture simulations (MERRA-Land)", "identifier": [ { "@type": "PropertyValue", "propertyID": "doi", "value": "10.1016/j.rse.2014.07.013" }, { "@type": "PropertyValue", "propertyID": "eid", "value": "2-s2.0-84905641855" } ] }, { "@type": "CreativeWork", "@id": "https://doi.org/10.1111/aec.12054", "name": "Patterns and drivers of Araucaria araucana forest growth along a biophysical gradient in the northern Patagonian Andes: Linking tree rings with satellite observations of soil moisture", "identifier": [ { "@type": "PropertyValue", "propertyID": "eid", "value": "2-s2.0-84896465925" }, { "@type": "PropertyValue", "propertyID": "doi", "value": "10.1111/aec.12054" } ] }, { "@type": "CreativeWork", "@id": "https://doi.org/10.1109/igarss.2014.6946969", "name": "Performance inter-comparison of soil moisture retrieval models for the MetOp-A ASCAT instrument", "identifier": [ { "@type": "PropertyValue", "propertyID": "eid", "value": "2-s2.0-84911369482" }, { "@type": "PropertyValue", "propertyID": "doi", "value": "10.1109/igarss.2014.6946969" } ] }, { "@type": "CreativeWork", "@id": "https://doi.org/10.1002/2014jd021489", "name": "Soil as a natural rain gauge: Estimating global rainfall from satellite soil moisture data", "identifier": [ { "@type": "PropertyValue", "propertyID": "eid", "value": "2-s2.0-84901701718" }, { "@type": "PropertyValue", "propertyID": "doi", "value": "10.1002/2014jd021489" } ] }, { "@type": "CreativeWork", "@id": "https://doi.org/10.1175/2014bamsstateoftheclimate.1", "name": "State of the climate in 2013", "identifier": [ { "@type": "PropertyValue", "propertyID": "eid", "value": "2-s2.0-84910080574" }, { "@type": "PropertyValue", "propertyID": "doi", "value": "10.1175/2014bamsstateoftheclimate.1" } ] }, { "@type": "CreativeWork", "@id": "https://doi.org/10.5194/gmd-7-931-2014", "name": "Suitability of modelled and remotely sensed essential climate variables for monitoring Euro-Mediterranean droughts", "identifier": [ { "@type": "PropertyValue", "propertyID": "eid", "value": "2-s2.0-84901464054" }, { "@type": "PropertyValue", "propertyID": "doi", "value": "10.5194/gmd-7-931-2014" } ] }, { "@type": "CreativeWork", "@id": "https://doi.org/10.3390/rs6021390", "name": "Temperature and snow-mediated moisture controls of summer photosynthetic activity in northern terrestrial ecosystems between 1982 and 2011", "identifier": [ { "@type": "PropertyValue", "propertyID": "doi", "value": "10.3390/rs6021390" }, { "@type": "PropertyValue", "propertyID": "eid", "value": "2-s2.0-84896807355" } ] }, { "@type": "CreativeWork", "@id": "https://doi.org/10.1016/j.rse.2014.08.030", "name": "Using remotely sensed soil moisture for land-atmosphere coupling diagnostics: The role of surface vs. root-zone soil moisture variability", "identifier": [ { "@type": "PropertyValue", "propertyID": "eid", "value": "2-s2.0-84934437271" }, { "@type": "PropertyValue", "propertyID": "doi", "value": "10.1016/j.rse.2014.08.030" } ] }, { "@type": "CreativeWork", "@id": "https://doi.org/10.1016/j.jag.2014.01.007", "name": "Validation of the ASCAT soil water index using in situ data from the International Soil moisture network", "identifier": [ { "@type": "PropertyValue", "propertyID": "eid", "value": "2-s2.0-84897479262" }, { "@type": "PropertyValue", "propertyID": "doi", "value": "10.1016/j.jag.2014.01.007" } ] }, { "@type": "CreativeWork", "@id": "https://doi.org/10.5194/gmdd-6-5553-2013", "name": "Suitability of modelled and remotely sensed essential climate variables for monitoring Euro-Mediterranean droughts", "identifier": { "@type": "PropertyValue", "propertyID": "doi", "value": "10.5194/gmdd-6-5553-2013" } }, { "@type": "CreativeWork", "@id": "https://doi.org/10.5194/hessd-10-3541-2013", "name": "Potential and limitations of multidecadal satellite soil moisture observations for climate model evaluation studies", "identifier": { "@type": "PropertyValue", "propertyID": "doi", "value": "10.5194/hessd-10-3541-2013" } }, { "@type": "CreativeWork", "@id": "https://doi.org/10.1109/igarss.2013.6723151", "name": "34 years of remotely sensed soil moisture: What climate signals do we (not) see?", "identifier": [ { "@type": "PropertyValue", "propertyID": "eid", "value": "2-s2.0-84894229360" }, { "@type": "PropertyValue", "propertyID": "doi", "value": "10.1109/igarss.2013.6723151" } ] }, { "@type": "CreativeWork", "@id": "https://doi.org/10.1109/igarss.2013.6723273", "name": "Assimilation of satellite soil moisture data into rainfall-runoff modelling for several catchments worldwide", "identifier": [ { "@type": "PropertyValue", "propertyID": "eid", "value": "2-s2.0-84894255665" }, { "@type": "PropertyValue", "propertyID": "doi", "value": "10.1109/igarss.2013.6723273" } ] }, { "@type": "CreativeWork", "@id": "https://doi.org/10.2136/vzj2012.0170", "name": "Characterizing coarse-scale representativeness of in situ soil moisture measurements from the international soil moisture network", "identifier": [ { "@type": "PropertyValue", "propertyID": "eid", "value": "2-s2.0-84878141350" }, { "@type": "PropertyValue", "propertyID": "doi", "value": "10.2136/vzj2012.0170" } ] }, { "@type": "CreativeWork", "@id": "https://doi.org/10.1080/02626667.2013.839876", "name": "Estimation of the temporal autocorrelation structure by the collocation technique with an emphasis on soil moisture studies,Estimation de la structure d'autocorr\u00e9lation temporelle par la technique de collocation. Application aux \u00e9tudes sur l'humidit\u00e9 du sol", "identifier": [ { "@type": "PropertyValue", "propertyID": "doi", "value": "10.1080/02626667.2013.839876" }, { "@type": "PropertyValue", "propertyID": "eid", "value": "2-s2.0-84887076874" } ] }, { "@type": "CreativeWork", "@id": "https://doi.org/10.2136/vzj2012.0097", "name": "Global automated quality control of in situ soil moisture data from the International Soil Moisture Network", "identifier": [ { "@type": "PropertyValue", "propertyID": "doi", "value": "10.2136/vzj2012.0097" }, { "@type": "PropertyValue", "propertyID": "eid", "value": "2-s2.0-84878132874" } ] }, { "@type": "CreativeWork", "@id": "https://doi.org/10.1175/jcli-d-13-00149.1", "name": "How oceanic oscillation drives soil moisture variations over mainland Australia: An analysis of 32 years of satellite observations*", "identifier": [ { "@type": "PropertyValue", "propertyID": "doi", "value": "10.1175/jcli-d-13-00149.1" }, { "@type": "PropertyValue", "propertyID": "eid", "value": "2-s2.0-84890185681" } ] }, { "@type": "CreativeWork", "@id": "https://doi.org/10.1016/j.rse.2013.07.009", "name": "Monitoring multi-decadal satellite earth observation of soil moisture products through land surface reanalyses", "identifier": [ { "@type": "PropertyValue", "propertyID": "eid", "value": "2-s2.0-84882616547" }, { "@type": "PropertyValue", "propertyID": "doi", "value": "10.1016/j.rse.2013.07.009" } ] }, { "@type": "CreativeWork", "@id": "https://doi.org/10.5194/hess-17-3523-2013", "name": "Potential and limitations of multidecadal satellite soil moisture observations for selected climate model evaluation studies", "identifier": [ { "@type": "PropertyValue", "propertyID": "eid", "value": "2-s2.0-84884859503" }, { "@type": "PropertyValue", "propertyID": "doi", "value": "10.5194/hess-17-3523-2013" } ] }, { "@type": "CreativeWork", "@id": "https://doi.org/10.1175/jhm-d-12-0161.1", "name": "Skill and global trend analysis of soil moisture from reanalyses and microwave remote sensing", "identifier": [ { "@type": "PropertyValue", "propertyID": "doi", "value": "10.1175/jhm-d-12-0161.1" }, { "@type": "PropertyValue", "propertyID": "eid", "value": "2-s2.0-84884891968" } ] }, { "@type": "CreativeWork", "@id": "https://doi.org/10.2136/sssaj2013.03.0093", "name": "State of the art in large-scale soil moisture monitoring", "identifier": [ { "@type": "PropertyValue", "propertyID": "doi", "value": "10.2136/sssaj2013.03.0093" }, { "@type": "PropertyValue", "propertyID": "eid", "value": "2-s2.0-84890737417" } ] }, { "@type": "CreativeWork", "@id": "https://doi.org/10.1175/2013bamsstateoftheclimate.1", "name": "State of the climate in 2012", "identifier": [ { "@type": "PropertyValue", "propertyID": "doi", "value": "10.1175/2013bamsstateoftheclimate.1" }, { "@type": "PropertyValue", "propertyID": "eid", "value": "2-s2.0-84883271925" } ] }, { "@type": "CreativeWork", "@id": "https://doi.org/10.1002/jgrg.20118", "name": "The BETHY/JSBACH Carbon Cycle Data Assimilation System: Experiences and challenges", "identifier": [ { "@type": "PropertyValue", "propertyID": "doi", "value": "10.1002/jgrg.20118" }, { "@type": "PropertyValue", "propertyID": "eid", "value": "2-s2.0-84892943233" } ] }, { "@type": "CreativeWork", "@id": "https://doi.org/10.1109/igarss.2013.6723166", "name": "Towards a high-density soil moisture network for the validation of SMAP in Petzenkirchen, Austria", "identifier": [ { "@type": "PropertyValue", "propertyID": "eid", "value": "2-s2.0-84894281538" }, { "@type": "PropertyValue", "propertyID": "doi", "value": "10.1109/igarss.2013.6723166" } ] }, { "@type": "CreativeWork", "@id": "https://doi.org/10.1038/nature11377", "name": "Afternoon rain more likely over drier soils", "identifier": [ { "@type": "PropertyValue", "propertyID": "eid", "value": "2-s2.0-84866506610" }, { "@type": "PropertyValue", "propertyID": "doi", "value": "10.1038/nature11377" } ] }, { "@type": "CreativeWork", "@id": "https://doi.org/10.1109/igarss.2012.6350978", "name": "Constructing and analyzing a 32-years climate data record of remotely sensed soil moisture", "identifier": [ { "@type": "PropertyValue", "propertyID": "doi", "value": "10.1109/igarss.2012.6350978" }, { "@type": "PropertyValue", "propertyID": "eid", "value": "2-s2.0-84873119908" } ] }, { "@type": "CreativeWork", "@id": "https://doi.org/10.5194/hess-16-4375-2012", "name": "Estimation of antecedent wetness conditions for flood modelling in northern Morocco", "identifier": [ { "@type": "PropertyValue", "propertyID": "doi", "value": "10.5194/hess-16-4375-2012" }, { "@type": "PropertyValue", "propertyID": "eid", "value": "2-s2.0-84870154605" } ] }, { "@type": "CreativeWork", "@id": "https://doi.org/10.1029/2012gl052988", "name": "Evaluating global trends (1988-2010) in harmonized multi-satellite surface soil moisture", "identifier": [ { "@type": "PropertyValue", "propertyID": "doi", "value": "10.1029/2012gl052988" }, { "@type": "PropertyValue", "propertyID": "eid", "value": "2-s2.0-84867221187" } ] }, { "@type": "CreativeWork", "name": "Evaluation of SMOS soil moisture with other existing satellite products", "identifier": [ { "@type": "PropertyValue", "propertyID": "eid", "value": "2-s2.0-84883345152" }, { "@type": "PropertyValue", "propertyID": "eid", "value": "2-s2.0-84883432467" }, { "@type": "PropertyValue", "propertyID": "issn", "value": "0144-7815" } ], "sameAs": "https://portal.issn.org/resource/ISSN/0144-7815" }, { "@type": "CreativeWork", "@id": "https://doi.org/10.1109/igarss.2012.6351323", "name": "Evaluation of the ASAR GM soil moisture product", "identifier": [ { "@type": "PropertyValue", "propertyID": "eid", "value": "2-s2.0-84873177204" }, { "@type": "PropertyValue", "propertyID": "doi", "value": "10.1109/igarss.2012.6351323" } ] }, { "@type": "CreativeWork", "@id": "https://doi.org/10.5194/isprsannals-i-7-315-2012", "name": "FUSION of ACTIVE and PASSIVE MICROWAVE OBSERVATIONS to CREATE AN ESSENTIAL CLIMATE VARIABLE DATA RECORD ON SOIL MOISTURE", "identifier": [ { "@type": "PropertyValue", "propertyID": "doi", "value": "10.5194/isprsannals-i-7-315-2012" }, { "@type": "PropertyValue", "propertyID": "eid", "value": "2-s2.0-85035809140" } ] }, { "@type": "CreativeWork", "@id": "https://doi.org/10.1109/igarss.2012.6350586", "name": "Identification of soil moisture retrieval errors: Learning from the comparison of SMOS and ASCAT", "identifier": [ { "@type": "PropertyValue", "propertyID": "eid", "value": "2-s2.0-84873112352" }, { "@type": "PropertyValue", "propertyID": "doi", "value": "10.1109/igarss.2012.6350586" } ] }, { "@type": "CreativeWork", "@id": "https://doi.org/10.1109/jstars.2011.2171181", "name": "Improving the robustness of cotton status characterisation by radiative transfer model inversion of multi-angular CHRIS/PROBA data", "identifier": [ { "@type": "PropertyValue", "propertyID": "eid", "value": "2-s2.0-84857746408" }, { "@type": "PropertyValue", "propertyID": "doi", "value": "10.1109/jstars.2011.2171181" } ] }, { "@type": "CreativeWork", "@id": "https://doi.org/10.1016/j.jag.2012.05.004", "name": "Mapping invasive Fallopia japonica by combined spectral, spatial, and temporal analysis of digital orthophotos", "identifier": [ { "@type": "PropertyValue", "propertyID": "eid", "value": "2-s2.0-84872765356" }, { "@type": "PropertyValue", "propertyID": "doi", "value": "10.1016/j.jag.2012.05.004" } ] }, { "@type": "CreativeWork", "@id": "https://doi.org/10.5194/npg-19-69-2012", "name": "Structural and statistical properties of the collocation technique for error characterization", "identifier": [ { "@type": "PropertyValue", "propertyID": "doi", "value": "10.5194/npg-19-69-2012" }, { "@type": "PropertyValue", "propertyID": "eid", "value": "2-s2.0-84858025422" } ] }, { "@type": "CreativeWork", "@id": "https://doi.org/10.1109/igarss.2012.6351463", "name": "Temporal error variability of coarse scale soil moisture products - Case study in central Spain", "identifier": [ { "@type": "PropertyValue", "propertyID": "doi", "value": "10.1109/igarss.2012.6351463" }, { "@type": "PropertyValue", "propertyID": "eid", "value": "2-s2.0-84873190138" } ] }, { "@type": "CreativeWork", "@id": "https://doi.org/10.1016/j.rse.2012.03.014", "name": "Trend-preserving blending of passive and active microwave soil moisture retrievals", "identifier": [ { "@type": "PropertyValue", "propertyID": "eid", "value": "2-s2.0-84859937215" }, { "@type": "PropertyValue", "propertyID": "doi", "value": "10.1016/j.rse.2012.03.014" } ] }, { "@type": "CreativeWork", "@id": "https://doi.org/10.1029/2011eo170001", "name": "A new international network for in situ soil moisture data", "identifier": [ { "@type": "PropertyValue", "propertyID": "eid", "value": "2-s2.0-79957953441" }, { "@type": "PropertyValue", "propertyID": "doi", "value": "10.1029/2011eo170001" } ] }, { "@type": "CreativeWork", "@id": "https://doi.org/10.5194/hess-15-425-2011", "name": "Developing an improved soil moisture dataset by blending passive and active microwave satellite-based retrievals", "identifier": [ { "@type": "PropertyValue", "propertyID": "doi", "value": "10.5194/hess-15-425-2011" }, { "@type": "PropertyValue", "propertyID": "eid", "value": "2-s2.0-79551643740" } ] }, { "@type": "CreativeWork", "@id": "https://doi.org/10.1109/lgrs.2011.2114872", "name": "Error estimates for near-real-time satellite soil moisture as derived from the land parameter retrieval model", "identifier": [ { "@type": "PropertyValue", "propertyID": "doi", "value": "10.1109/lgrs.2011.2114872" }, { "@type": "PropertyValue", "propertyID": "eid", "value": "2-s2.0-79957943006" } ] }, { "@type": "CreativeWork", "@id": "https://doi.org/10.1016/j.rse.2011.08.003", "name": "Soil moisture estimation through ASCAT and AMSR-E sensors: An intercomparison and validation study across Europe", "identifier": [ { "@type": "PropertyValue", "propertyID": "eid", "value": "2-s2.0-80054992592" }, { "@type": "PropertyValue", "propertyID": "doi", "value": "10.1016/j.rse.2011.08.003" } ] }, { "@type": "CreativeWork", "@id": "https://doi.org/10.1175/1520-0477-92.6.s1", "name": "State of the climate in 2010", "identifier": [ { "@type": "PropertyValue", "propertyID": "eid", "value": "2-s2.0-79961086816" }, { "@type": "PropertyValue", "propertyID": "doi", "value": "10.1175/1520-0477-92.6.s1" } ] }, { "@type": "CreativeWork", "@id": "https://doi.org/10.5194/hess-15-1675-2011", "name": "The International Soil Moisture Network: A data hosting facility for global in situ soil moisture measurements", "identifier": [ { "@type": "PropertyValue", "propertyID": "eid", "value": "2-s2.0-79957964230" }, { "@type": "PropertyValue", "propertyID": "doi", "value": "10.5194/hess-15-1675-2011" } ] }, { "@type": "CreativeWork", "name": "The international soil moisture network - An observational network for soil moisture product validations", "identifier": { "@type": "PropertyValue", "propertyID": "eid", "value": "2-s2.0-84879759353" } }, { "@type": "CreativeWork", "@id": "https://doi.org/10.1080/01431160903380581", "name": "An application-oriented automated approach for co-registration of forest inventory and airborne laser scanning data", "identifier": [ { "@type": "PropertyValue", "propertyID": "eid", "value": "2-s2.0-77951115079" }, { "@type": "PropertyValue", "propertyID": "doi", "value": "10.1080/01431160903380581" } ] }, { "@type": "CreativeWork", "@id": "https://doi.org/10.1016/j.jag.2009.10.005", "name": "Applying different inversion techniques to retrieve stand variables of summer barley with PROSPECT + SAIL", "identifier": [ { "@type": "PropertyValue", "propertyID": "eid", "value": "2-s2.0-77958465081" }, { "@type": "PropertyValue", "propertyID": "doi", "value": "10.1016/j.jag.2009.10.005" } ] }, { "@type": "CreativeWork", "@id": "https://doi.org/10.1016/j.rse.2010.01.003", "name": "Combining vegetation indices, constrained ordination and fuzzy classification for mapping semi-natural vegetation units from hyperspectral imagery", "identifier": [ { "@type": "PropertyValue", "propertyID": "eid", "value": "2-s2.0-77949488471" }, { "@type": "PropertyValue", "propertyID": "doi", "value": "10.1016/j.rse.2010.01.003" } ] }, { "@type": "CreativeWork", "@id": "https://doi.org/10.5194/hess-14-2605-2010", "name": "Error characterisation of global active and passive microwave soil moisture datasets", "identifier": [ { "@type": "PropertyValue", "propertyID": "eid", "value": "2-s2.0-78650348761" }, { "@type": "PropertyValue", "propertyID": "doi", "value": "10.5194/hess-14-2605-2010" } ] }, { "@type": "CreativeWork", "@id": "https://doi.org/10.3390/rs2061416", "name": "Mapping bush encroaching species by seasonal differences in hyperspectral imagery", "identifier": [ { "@type": "PropertyValue", "propertyID": "doi", "value": "10.3390/rs2061416" }, { "@type": "PropertyValue", "propertyID": "eid", "value": "2-s2.0-84860389247" } ] }, { "@type": "CreativeWork", "@id": "https://doi.org/10.1109/igarss.2010.5652128", "name": "Triple collocation - A new tool to determine the error structure of global soil moisture products", "identifier": [ { "@type": "PropertyValue", "propertyID": "doi", "value": "10.1109/igarss.2010.5652128" }, { "@type": "PropertyValue", "propertyID": "eid", "value": "2-s2.0-78650892185" } ] }, { "@type": "CreativeWork", "@id": "https://doi.org/10.3390/rs1041139", "name": "Enhanced automated canopy characterization from hyperspectral data by a novel two step radiative transfer model inversion approach", "identifier": [ { "@type": "PropertyValue", "propertyID": "doi", "value": "10.3390/rs1041139" }, { "@type": "PropertyValue", "propertyID": "eid", "value": "2-s2.0-78649737418" } ] }, { "@type": "CreativeWork", "name": "Evaluating vegetation indices from multi-angular hyperspectral satellite imagery for assessing leaf chlorophyll in Uzbek cotton fields", "identifier": { "@type": "PropertyValue", "propertyID": "eid", "value": "2-s2.0-84879984044" } }, { "@type": "CreativeWork", "@id": "https://doi.org/10.1080/01431160903022894", "name": "Operational wide-area stem volume estimation based on airborne laser scanning and national forest inventory data", "identifier": [ { "@type": "PropertyValue", "propertyID": "eid", "value": "2-s2.0-70449437942" }, { "@type": "PropertyValue", "propertyID": "doi", "value": "10.1080/01431160903022894" } ] }, { "@type": "CreativeWork", "@id": "https://doi.org/10.1016/j.jag.2006.05.003", "name": "A review on reflective remote sensing and data assimilation techniques for enhanced agroecosystem modeling", "identifier": [ { "@type": "PropertyValue", "propertyID": "doi", "value": "10.1016/j.jag.2006.05.003" }, { "@type": "PropertyValue", "propertyID": "eid", "value": "2-s2.0-34047245996" } ] }, { "@type": "CreativeWork", "name": "GonioExp06 - A field goniometer intercomparison campaign, in support of physical model inversion and upscaling methods for hyperspectral, multidirectional RS data", "identifier": [ { "@type": "PropertyValue", "propertyID": "eid", "value": "2-s2.0-84858470240" }, { "@type": "PropertyValue", "propertyID": "issn", "value": "0379-6566" }, { "@type": "PropertyValue", "propertyID": "eid", "value": "2-s2.0-36448966483" } ], "sameAs": "https://portal.issn.org/resource/ISSN/0379-6566" }, { "@type": "CreativeWork", "@id": "https://doi.org/10.1063/1.2349352", "name": "Changes in spectral reflectance of crop canopies due to drought stress", "identifier": [ { "@type": "PropertyValue", "propertyID": "eid", "value": "2-s2.0-33846375808" }, { "@type": "PropertyValue", "propertyID": "doi", "value": "10.1063/1.2349352" }, { "@type": "PropertyValue", "propertyID": "issn", "value": "0094-243X" } ], "sameAs": "https://portal.issn.org/resource/ISSN/0094-243X" }, { "@type": "CreativeWork", "@id": "https://doi.org/10.1109/lgrs.2006.882146", "name": "Influence of the adjacency effect on ground reflectance measurements", "identifier": [ { "@type": "PropertyValue", "propertyID": "eid", "value": "2-s2.0-33750585554" }, { "@type": "PropertyValue", "propertyID": "doi", "value": "10.1109/lgrs.2006.882146" } ] }, { "@type": "CreativeWork", "@id": "https://doi.org/10.1117/12.627035", "name": "Changes in spectral reflectance of crop canopies due to drought stress", "identifier": [ { "@type": "PropertyValue", "propertyID": "eid", "value": "2-s2.0-33244465856" }, { "@type": "PropertyValue", "propertyID": "doi", "value": "10.1117/12.627035" }, { "@type": "PropertyValue", "propertyID": "issn", "value": "0277-786X" } ], "sameAs": "https://portal.issn.org/resource/ISSN/0277-786X" } ] }, "url": "http://www.geo.tuwien.ac.at/staff/wouter-arnoud-dorigo/", "identifier": [ { "@type": "PropertyValue", "propertyID": "ResearcherID", "value": "C-7794-2014" }, { "@type": "PropertyValue", "propertyID": "Scopus Author ID", "value": "12646465800" } ] }
}