Item talk:Q138761
From geokb
{
"OpenAlex": { "id": "https://openalex.org/A5016226269", "orcid": "https://orcid.org/0000-0002-8999-2709", "display_name": "G. M. Henebry", "display_name_alternatives": [ "G. M Henebry", "G. Henebry", "G. M. M. Henebry", "Geoffrey Henebry", "Geoff Henebry", "Geoffrey M. Henebry", "Geoff M. Henebry", "G. M. Henebry", "Geoff" ], "works_count": 339, "cited_by_count": 8035, "summary_stats": { "2yr_mean_citedness": 5.4, "h_index": 47, "i10_index": 117 }, "ids": { "openalex": "https://openalex.org/A5016226269", "orcid": "https://orcid.org/0000-0002-8999-2709", "scopus": "http://www.scopus.com/inward/authorDetails.url?authorID=6603837254&partnerID=MN8TOARS" }, "affiliations": [ { "institution": { "id": "https://openalex.org/I87216513", "ror": "https://ror.org/05hs6h993", "display_name": "Michigan State University", "country_code": "US", "type": "education", "lineage": [ "https://openalex.org/I87216513" ] }, "years": [ 2024, 2023, 2022, 2021, 2020, 2019, 2018 ] }, { "institution": { "id": "https://openalex.org/I177156846", "ror": "https://ror.org/015jmes13", "display_name": "South Dakota State University", "country_code": "US", "type": "education", "lineage": [ "https://openalex.org/I177156846" ] }, "years": [ 2020, 2018, 2017, 2016, 2015, 2014, 2013, 2012, 2011, 2010 ] }, { "institution": { "id": "https://openalex.org/I10052268", "ror": "https://ror.org/00hpz7z43", "display_name": "New Mexico State University", "country_code": "US", "type": "education", "lineage": [ "https://openalex.org/I10052268" ] }, "years": [ 2017, 2016 ] }, { "institution": { "id": "https://openalex.org/I115283149", "ror": "https://ror.org/04aj4sh46", "display_name": "Brookings Institution", "country_code": "US", "type": "nonprofit", "lineage": [ "https://openalex.org/I115283149" ] }, "years": [ 2015 ] }, { "institution": { "id": "https://openalex.org/I1286329397", "ror": "https://ror.org/035a68863", "display_name": "United States Geological Survey", "country_code": "US", "type": "government", "lineage": [ "https://openalex.org/I1286329397", "https://openalex.org/I1335927249" ] }, "years": [ 2015 ] }, { "institution": { "id": "https://openalex.org/I1289243028", "ror": "https://ror.org/01qz5mb56", "display_name": "Oak Ridge National Laboratory", "country_code": "US", "type": "facility", "lineage": [ "https://openalex.org/I1289243028", "https://openalex.org/I1330989302", "https://openalex.org/I39565521", "https://openalex.org/I4210159294" ] }, "years": [ 2015 ] }, { "institution": { "id": "https://openalex.org/I20089843", "ror": "https://ror.org/00hx57361", "display_name": "Princeton University", "country_code": "US", "type": "education", "lineage": [ "https://openalex.org/I20089843" ] }, "years": [ 2015 ] }, { "institution": { "id": "https://openalex.org/I138006243", "ror": "https://ror.org/03m2x1q45", "display_name": "University of Arizona", "country_code": "US", "type": "education", "lineage": [ "https://openalex.org/I138006243" ] }, "years": [ 2015 ] }, { "institution": { "id": "https://openalex.org/I1334627681", "ror": "https://ror.org/027k65916", "display_name": "Jet Propulsion Laboratory", "country_code": "US", "type": "facility", "lineage": [ "https://openalex.org/I122411786", "https://openalex.org/I1334627681", "https://openalex.org/I4210124779" ] }, "years": [ 2015 ] }, { "institution": { "id": "https://openalex.org/I1308126019", "ror": "https://ror.org/02z5nhe81", "display_name": "National Oceanic and Atmospheric Administration", "country_code": "US", "type": "government", "lineage": [ "https://openalex.org/I1308126019", "https://openalex.org/I1343035065" ] }, "years": [ 2015 ] } ], "last_known_institutions": [ { "id": "https://openalex.org/I87216513", "ror": "https://ror.org/05hs6h993", "display_name": "Michigan State University", "country_code": "US", "type": "education", "lineage": [ "https://openalex.org/I87216513" ] } ], "topics": [ { "id": "https://openalex.org/T10111", "display_name": "Remote Sensing in Vegetation Monitoring and Phenology", "count": 132, "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/T10226", "display_name": "Global Analysis of Ecosystem Services and Land Use", "count": 61, "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/T10895", "display_name": "Species Distribution Modeling and Climate Change Impacts", "count": 51, "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/T10766", "display_name": "Urban Heat Islands and Mitigation Strategies", "count": 47, "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", "count": 31, "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/T12467", "display_name": "Rangeland Degradation and Pastoral Livelihoods", "count": 28, "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/T11333", "display_name": "Arctic Permafrost Dynamics and Climate Change", "count": 23, "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": 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/T11164", "display_name": "Mapping Forests with Lidar Remote Sensing", "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/T13890", "display_name": "Applications of Remote Sensing in Geoscience and Agriculture", "count": 18, "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/T13102", "display_name": "Soil Evolution in Anthropogenic Landscapes", "count": 17, "subfield": { "id": "https://openalex.org/subfields/1111", "display_name": "Soil 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/T10644", "display_name": "Impacts of Climate Change on Glaciers and Water Availability", "count": 16, "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/T10770", "display_name": "Digital Soil Mapping Techniques", "count": 14, "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/T11594", "display_name": "Causes and Impacts of Climate Change Over Millennia", "count": 13, "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/T10439", "display_name": "Adaptation to Climate Change in Agriculture", "count": 12, "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/T11963", "display_name": "Impact of Nighttime Light Data on Various Fields", "count": 12, "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/T10692", "display_name": "Impact of Urban Green Space on Public Health", "count": 11, "subfield": { "id": "https://openalex.org/subfields/2307", "display_name": "Health, Toxicology and Mutagenesis" }, "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/T10689", "display_name": "Hyperspectral Image Analysis and Classification", "count": 10, "subfield": { "id": "https://openalex.org/subfields/2214", "display_name": "Media Technology" }, "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/T10330", "display_name": "Hydrological Modeling and Water Resource Management", "count": 10, "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": 10, "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/T11312", "display_name": "Remote Sensing of Soil Moisture", "count": 9, "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/T10005", "display_name": "Biodiversity Conservation and Ecosystem Management", "count": 9, "subfield": { "id": "https://openalex.org/subfields/2309", "display_name": "Nature and Landscape Conservation" }, "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": 8, "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/T13388", "display_name": "Factors Affecting Sagebrush Ecosystems and Wildlife Conservation", "count": 8, "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/T13193", "display_name": "Geological Evolution of the Arctic Region", "count": 8, "subfield": { "id": "https://openalex.org/subfields/1907", "display_name": "Geology" }, "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/T10111", "display_name": "Remote Sensing in Vegetation Monitoring and Phenology", "value": 0.0009254, "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/T10766", "display_name": "Urban Heat Islands and Mitigation Strategies", "value": 0.0004694, "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", "value": 0.0003082, "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/T13102", "display_name": "Soil Evolution in Anthropogenic Landscapes", "value": 0.000278, "subfield": { "id": "https://openalex.org/subfields/1111", "display_name": "Soil 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/T10439", "display_name": "Adaptation to Climate Change in Agriculture", "value": 0.0001945, "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/T10895", "display_name": "Species Distribution Modeling and Climate Change Impacts", "value": 0.000179, "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/T12467", "display_name": "Rangeland Degradation and Pastoral Livelihoods", "value": 0.0001773, "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/T11594", "display_name": "Causes and Impacts of Climate Change Over Millennia", "value": 0.0001681, "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/T10266", "display_name": "Global Forest Drought Response and Climate Change", "value": 0.0001544, "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": 0.0001397, "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/T11333", "display_name": "Arctic Permafrost Dynamics and Climate Change", "value": 0.0001364, "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/T11963", "display_name": "Impact of Nighttime Light Data on Various Fields", "value": 0.0001146, "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", "value": 0.0001102, "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/T10692", "display_name": "Impact of Urban Green Space on Public Health", "value": 0.0001096, "subfield": { "id": "https://openalex.org/subfields/2307", "display_name": "Health, Toxicology and Mutagenesis" }, "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/T11312", "display_name": "Remote Sensing of Soil Moisture", "value": 8.78e-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" } }, { "id": "https://openalex.org/T10689", "display_name": "Hyperspectral Image Analysis and Classification", "value": 8.52e-05, "subfield": { "id": "https://openalex.org/subfields/2214", "display_name": "Media Technology" }, "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/T13997", "display_name": "Impacts and Adaptation to Climate Change", "value": 8.3e-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/T13378", "display_name": "Challenges and Prospects in Russian Agriculture", "value": 8.28e-05, "subfield": { "id": "https://openalex.org/subfields/1102", "display_name": "Agronomy and Crop 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/T11755", "display_name": "Influence of Climate on Human Conflict", "value": 7.79e-05, "subfield": { "id": "https://openalex.org/subfields/3312", "display_name": "Sociology and Political Science" }, "field": { "id": "https://openalex.org/fields/33", "display_name": "Social Sciences" }, "domain": { "id": "https://openalex.org/domains/2", "display_name": "Social Sciences" } }, { "id": "https://openalex.org/T14177", "display_name": "Environmental Impact on Lake Baikal Ecosystem", "value": 7.78e-05, "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/T10029", "display_name": "Climate Change and Variability Research", "value": 7.59e-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/T13890", "display_name": "Applications of Remote Sensing in Geoscience and Agriculture", "value": 6.29e-05, "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/T10644", "display_name": "Impacts of Climate Change on Glaciers and Water Availability", "value": 6.27e-05, "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/T10801", "display_name": "Synthetic Aperture Radar Interferometry", "value": 5.76e-05, "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/T12644", "display_name": "Ecological Effects of Roads on Wildlife and Habitat Connectivity", "value": 5.62e-05, "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" } } ], "x_concepts": [ { "id": "https://openalex.org/C205649164", "wikidata": "https://www.wikidata.org/wiki/Q1071", "display_name": "Geography", "level": 0, "score": 90.3 }, { "id": "https://openalex.org/C86803240", "wikidata": "https://www.wikidata.org/wiki/Q420", "display_name": "Biology", "level": 0, "score": 82.9 }, { "id": "https://openalex.org/C127313418", "wikidata": "https://www.wikidata.org/wiki/Q1069", "display_name": "Geology", "level": 0, "score": 78.8 }, { "id": "https://openalex.org/C18903297", "wikidata": "https://www.wikidata.org/wiki/Q7150", "display_name": "Ecology", "level": 1, "score": 77.0 }, { "id": "https://openalex.org/C39432304", "wikidata": "https://www.wikidata.org/wiki/Q188847", "display_name": "Environmental science", "level": 0, "score": 69.0 }, { "id": "https://openalex.org/C121332964", "wikidata": "https://www.wikidata.org/wiki/Q413", "display_name": "Physics", "level": 0, "score": 56.0 }, { "id": "https://openalex.org/C127413603", "wikidata": "https://www.wikidata.org/wiki/Q11023", "display_name": "Engineering", "level": 0, "score": 46.9 }, { "id": "https://openalex.org/C41008148", "wikidata": "https://www.wikidata.org/wiki/Q21198", "display_name": "Computer science", "level": 0, "score": 42.2 }, { "id": "https://openalex.org/C59822182", "wikidata": "https://www.wikidata.org/wiki/Q441", "display_name": "Botany", "level": 1, "score": 41.9 }, { "id": "https://openalex.org/C111368507", "wikidata": "https://www.wikidata.org/wiki/Q43518", "display_name": "Oceanography", "level": 1, "score": 41.0 }, { "id": "https://openalex.org/C6557445", "wikidata": "https://www.wikidata.org/wiki/Q173113", "display_name": "Agronomy", "level": 1, "score": 40.7 }, { "id": "https://openalex.org/C62649853", "wikidata": "https://www.wikidata.org/wiki/Q199687", "display_name": "Remote sensing", "level": 1, "score": 38.3 }, { "id": "https://openalex.org/C100970517", "wikidata": "https://www.wikidata.org/wiki/Q52107", "display_name": "Physical geography", "level": 1, "score": 36.6 }, { "id": "https://openalex.org/C132651083", "wikidata": "https://www.wikidata.org/wiki/Q7942", "display_name": "Climate change", "level": 2, "score": 32.7 }, { "id": "https://openalex.org/C71924100", "wikidata": "https://www.wikidata.org/wiki/Q11190", "display_name": "Medicine", "level": 0, "score": 32.4 }, { "id": "https://openalex.org/C153294291", "wikidata": "https://www.wikidata.org/wiki/Q25261", "display_name": "Meteorology", "level": 1, "score": 31.0 }, { "id": "https://openalex.org/C33923547", "wikidata": "https://www.wikidata.org/wiki/Q395", "display_name": "Mathematics", "level": 0, "score": 30.4 }, { "id": "https://openalex.org/C49204034", "wikidata": "https://www.wikidata.org/wiki/Q52139", "display_name": "Climatology", "level": 1, "score": 30.1 }, { "id": "https://openalex.org/C162324750", "wikidata": "https://www.wikidata.org/wiki/Q8134", "display_name": "Economics", "level": 0, "score": 27.7 }, { "id": "https://openalex.org/C95457728", "wikidata": "https://www.wikidata.org/wiki/Q309", "display_name": "History", "level": 0, "score": 26.8 }, { "id": "https://openalex.org/C142724271", "wikidata": "https://www.wikidata.org/wiki/Q7208", "display_name": "Pathology", "level": 1, "score": 26.5 }, { "id": "https://openalex.org/C51417038", "wikidata": "https://www.wikidata.org/wiki/Q272737", "display_name": "Phenology", "level": 2, "score": 24.2 }, { "id": "https://openalex.org/C147176958", "wikidata": "https://www.wikidata.org/wiki/Q77590", "display_name": "Civil engineering", "level": 1, "score": 23.0 }, { "id": "https://openalex.org/C166957645", "wikidata": "https://www.wikidata.org/wiki/Q23498", "display_name": "Archaeology", "level": 1, "score": 22.4 }, { "id": "https://openalex.org/C2776133958", "wikidata": "https://www.wikidata.org/wiki/Q7918366", "display_name": "Vegetation (pathology)", "level": 2, "score": 21.8 } ], "counts_by_year": [ { "year": 2024, "works_count": 4, "cited_by_count": 606 }, { "year": 2023, "works_count": 6, "cited_by_count": 905 }, { "year": 2022, "works_count": 4, "cited_by_count": 1018 }, { "year": 2021, "works_count": 6, "cited_by_count": 1096 }, { "year": 2020, "works_count": 17, "cited_by_count": 973 }, { "year": 2019, "works_count": 17, "cited_by_count": 676 }, { "year": 2018, "works_count": 13, "cited_by_count": 531 }, { "year": 2017, "works_count": 24, "cited_by_count": 458 }, { "year": 2016, "works_count": 19, "cited_by_count": 443 }, { "year": 2015, "works_count": 18, "cited_by_count": 399 }, { "year": 2014, "works_count": 19, "cited_by_count": 307 }, { "year": 2013, "works_count": 29, "cited_by_count": 384 }, { "year": 2012, "works_count": 18, "cited_by_count": 287 } ], "works_api_url": "https://api.openalex.org/works?filter=author.id:A5016226269", "updated_date": "2024-08-23T01:58:03.440146", "created_date": "2023-07-21", "_id": "https://openalex.org/A5016226269" }, "ORCID": { "@context": "http://schema.org", "@type": "Person", "@id": "https://orcid.org/0000-0002-8999-2709", "mainEntityOfPage": "https://orcid.org/0000-0002-8999-2709", "name": "Geoffrey M. Henebry", "givenName": "Geoffrey", "familyName": "Henebry", "alternateName": "Geoff", "address": { "addressCountry": "US", "@type": "PostalAddress" }, "alumniOf": { "@type": "Organization", "name": "University of Texas at Dallas", "identifier": { "@type": "PropertyValue", "propertyID": "RINGGOLD", "value": "12335" } }, "affiliation": [ { "@type": "Organization", "name": "Michigan State University", "alternateName": "Geography, Environment, and Spatial Sciences", "identifier": { "@type": "PropertyValue", "propertyID": "RINGGOLD", "value": "3078" } }, { "@type": "Organization", "name": "Michigan State University", "alternateName": "Geography, Environment, and Spatial Sciences & CGCEO", "identifier": { "@type": "PropertyValue", "propertyID": "RINGGOLD", "value": "3078" } }, { "@type": "Organization", "name": "South Dakota State University", "alternateName": "Geospatial Sciences Center of Excellence & Dept of Natural Resource Management", "identifier": { "@type": "PropertyValue", "propertyID": "RINGGOLD", "value": "2019" } } ], "@reverse": { "creator": [ { "@type": "CreativeWork", "@id": "https://doi.org/10.1111/1365-2656.14088", "name": "Chasing and surfing seasonal waves: Avian migration through the US tracks land surface phenology in fall, but not spring", "identifier": { "@type": "PropertyValue", "propertyID": "doi", "value": "10.1111/1365-2656.14088" } }, { "@type": "CreativeWork", "@id": "https://doi.org/10.1038/s41467-023-43046-z", "name": "Artificial light at night is a top predictor of bird migration stopover density", "identifier": { "@type": "PropertyValue", "propertyID": "doi", "value": "10.1038/s41467-023-43046-z" } }, { "@type": "CreativeWork", "@id": "https://doi.org/10.1088/1748-9326/ad02af", "name": "What caused the unseasonal extreme dust storm in Uzbekistan during November 2021?", "identifier": { "@type": "PropertyValue", "propertyID": "doi", "value": "10.1088/1748-9326/ad02af" } }, { "@type": "CreativeWork", "@id": "https://doi.org/10.3390/su142214912", "name": "A Systematic Literature Review of Quantitative Studies Assessing the Relationship between Water and Conflict on the African Continent", "identifier": { "@type": "PropertyValue", "propertyID": "doi", "value": "10.3390/su142214912" } }, { "@type": "CreativeWork", "@id": "https://doi.org/10.3390/su132011246", "name": "Towards a Single Integrative Metric on the Dynamics of Social-Environmental Systems", "identifier": { "@type": "PropertyValue", "propertyID": "doi", "value": "10.3390/su132011246" } }, { "@type": "CreativeWork", "@id": "https://doi.org/10.3390/rs13173449", "name": "Remote Sensing of Pasture Degradation in the Highlands of the Kyrgyz Republic: Finer-Scale Analysis Reveals Complicating Factors", "identifier": { "@type": "PropertyValue", "propertyID": "doi", "value": "10.3390/rs13173449" } }, { "@type": "CreativeWork", "@id": "https://doi.org/10.1007/s10584-020-02894-0", "name": "Seasonality of biological and physical systems as indicators of climatic variation and change", "identifier": { "@type": "PropertyValue", "propertyID": "doi", "value": "10.1007/s10584-020-02894-0" } }, { "@type": "CreativeWork", "@id": "https://doi.org/10.1016/j.rse.2020.111675", "name": "Land surface phenology in the highland pastures of montane Central Asia: Interactions with snow cover seasonality and terrain characteristics", "identifier": { "@type": "PropertyValue", "propertyID": "doi", "value": "10.1016/j.rse.2020.111675" } }, { "@type": "CreativeWork", "@id": "https://doi.org/10.1016/j.rse.2018.12.016", "name": "Characterizing land cover/land use from multiple years of Landsat and MODIS time series: A novel approach using land surface phenology modeling and random forest classifier", "identifier": { "@type": "PropertyValue", "propertyID": "doi", "value": "10.1016/j.rse.2018.12.016" } }, { "@type": "CreativeWork", "@id": "https://doi.org/10.1016/j.isprsjprs.2020.01.012", "name": "Development and evaluation of a new algorithm for detecting 30\u00a0m land surface phenology from VIIRS and HLS time series", "identifier": { "@type": "PropertyValue", "propertyID": "doi", "value": "10.1016/j.isprsjprs.2020.01.012" } }, { "@type": "CreativeWork", "@id": "https://doi.org/10.3390/rs11212550", "name": "Land Surface Phenologies and Seasonalities in the US Prairie Pothole Region Coupling AMSR Passive Microwave Data with the USDA Cropland Data Layer", "identifier": { "@type": "PropertyValue", "propertyID": "doi", "value": "10.3390/rs11212550" } }, { "@type": "CreativeWork", "@id": "https://doi.org/10.3390/rs11141677", "name": "Characterizing Land Use/Land Cover Using Multi-Sensor Time Series from the Perspective of Land Surface Phenology", "identifier": { "@type": "PropertyValue", "propertyID": "doi", "value": "10.3390/rs11141677" } }, { "@type": "CreativeWork", "@id": "https://doi.org/10.1016/j.landurbplan.2018.12.009", "name": "Scaling relationship between CO pollution and population size over major US metropolitan statistical areas", "identifier": { "@type": "PropertyValue", "propertyID": "doi", "value": "10.1016/j.landurbplan.2018.12.009" } }, { "@type": "CreativeWork", "@id": "https://doi.org/10.1088/1748-9326/ab04d2", "name": "Impacts of land cover and land use change on long-term trend of land surface phenology: a case study in agricultural ecosystems", "identifier": { "@type": "PropertyValue", "propertyID": "doi", "value": "10.1088/1748-9326/ab04d2" } }, { "@type": "CreativeWork", "@id": "https://doi.org/10.3390/land8040057", "name": "Improved Change Detection with Trajectory-Based Approach: Application to Quantify Cropland Expansion in South Dakota", "identifier": { "@type": "PropertyValue", "propertyID": "doi", "value": "10.3390/land8040057" } }, { "@type": "CreativeWork", "@id": "https://doi.org/10.1088/1748-9326/aaf27b", "name": "Prospects for the sustainability of social-ecological systems (SES) on the Mongolian plateau: five critical issues", "identifier": { "@type": "PropertyValue", "propertyID": "doi", "value": "10.1088/1748-9326/aaf27b" } }, { "@type": "CreativeWork", "@id": "https://doi.org/10.1088/1748-9326/aae43c", "name": "Dryland belt of Northern Eurasia: contemporary environmental changes and their consequences", "identifier": { "@type": "PropertyValue", "propertyID": "doi", "value": "10.1088/1748-9326/aae43c" } }, { "@type": "CreativeWork", "@id": "https://doi.org/10.3390/rs10071069", "name": "An Exploration of Terrain Effects on Land Surface Phenology across the Qinghai\u2013Tibet Plateau Using Landsat ETM+ and OLI Data", "identifier": { "@type": "PropertyValue", "propertyID": "doi", "value": "10.3390/rs10071069" } }, { "@type": "CreativeWork", "@id": "https://doi.org/10.1088/1748-9326/aabd6f", "name": "Changing snow seasonality in the highlands of Kyrgyzstan", "identifier": { "@type": "PropertyValue", "propertyID": "doi", "value": "10.1088/1748-9326/aabd6f" } }, { "@type": "CreativeWork", "@id": "https://doi.org/10.1088/1748-9326/aac4d0", "name": "Large scale climate oscillation impacts on temperature, precipitation and land surface phenology in Central Asia", "identifier": { "@type": "PropertyValue", "propertyID": "doi", "value": "10.1088/1748-9326/aac4d0" } }, { "@type": "CreativeWork", "@id": "https://doi.org/10.1016/j.rse.2017.10.004", "name": "Expansion of major urban areas in the US Great Plains from 2000 to 2009 using satellite scatterometer data", "identifier": { "@type": "PropertyValue", "propertyID": "doi", "value": "10.1016/j.rse.2017.10.004" } }, { "@type": "CreativeWork", "@id": "https://doi.org/10.1016/j.ecolind.2017.11.063", "name": "Corrigendum to \u201cIntegrating remote sensing and local ecological knowledge to monitor rangeland dynamics\u201d [Ecol. Indic. 82 (2017) 106\u2013116] (S1470160X17303746) (10.1016/j.ecolind.2017.06.033))", "identifier": [ { "@type": "PropertyValue", "propertyID": "doi", "value": "10.1016/j.ecolind.2017.11.063" }, { "@type": "PropertyValue", "propertyID": "eid", "value": "2-s2.0-85039068953" } ] }, { "@type": "CreativeWork", "@id": "https://doi.org/10.3390/rs9090914", "name": "Land Surface Phenology and Seasonality Using Cool Earthlight in Croplands of Eastern Africa and the Linkages to Crop Production", "identifier": { "@type": "PropertyValue", "propertyID": "doi", "value": "10.3390/rs9090914" } }, { "@type": "CreativeWork", "@id": "https://doi.org/10.3390/rs9060613", "name": "Comparing Passive Microwave with Visible-To-Near-Infrared Phenometrics in Croplands of Northern Eurasia", "identifier": { "@type": "PropertyValue", "propertyID": "doi", "value": "10.3390/rs9060613" } }, { "@type": "CreativeWork", "@id": "https://doi.org/10.3390/rs9050499", "name": "Impacts of Thermal Time on Land Surface Phenology in Urban Areas", "identifier": { "@type": "PropertyValue", "propertyID": "doi", "value": "10.3390/rs9050499" } }, { "@type": "CreativeWork", "@id": "https://doi.org/10.1016/j.rse.2017.01.001", "name": "Exploration of scaling effects on coarse resolution land surface phenology", "identifier": [ { "@type": "PropertyValue", "propertyID": "eid", "value": "2-s2.0-85009205021" }, { "@type": "PropertyValue", "propertyID": "doi", "value": "10.1016/j.rse.2017.01.001" } ] }, { "@type": "CreativeWork", "@id": "https://doi.org/10.1175/ei-d-16-0012.1", "name": "Grand challenges in understanding the interplay of climate and land changes", "identifier": [ { "@type": "PropertyValue", "propertyID": "eid", "value": "2-s2.0-85019067005" }, { "@type": "PropertyValue", "propertyID": "doi", "value": "10.1175/ei-d-16-0012.1" } ] }, { "@type": "CreativeWork", "@id": "https://doi.org/10.1186/s12936-017-1735-x", "name": "Integrating malaria surveillance with climate data for outbreak detection and forecasting: The EPIDEMIA system", "identifier": [ { "@type": "PropertyValue", "propertyID": "doi", "value": "10.1186/s12936-017-1735-x" }, { "@type": "PropertyValue", "propertyID": "eid", "value": "2-s2.0-85013676788" } ] }, { "@type": "CreativeWork", "@id": "https://doi.org/10.1016/j.ecolind.2017.06.033", "name": "Integrating remote sensing and local ecological knowledge to monitor rangeland dynamics", "identifier": [ { "@type": "PropertyValue", "propertyID": "eid", "value": "2-s2.0-85021631822" }, { "@type": "PropertyValue", "propertyID": "doi", "value": "10.1016/j.ecolind.2017.06.033" } ] }, { "@type": "CreativeWork", "@id": "https://doi.org/10.1186/s40645-017-0154-5", "name": "Northern Eurasia Future Initiative (NEFI): facing the challenges and pathways of global change in the twenty-first century", "identifier": [ { "@type": "PropertyValue", "propertyID": "doi", "value": "10.1186/s40645-017-0154-5" }, { "@type": "PropertyValue", "propertyID": "eid", "value": "2-s2.0-85039840005" } ] }, { "@type": "CreativeWork", "@id": "https://doi.org/10.3390/rs8121016", "name": "Characterizing Cropland Phenology in Major Grain Production Areas of Russia, Ukraine, and Kazakhstan by the Synergistic Use of Passive Microwave and Visible to Near Infrared Data", "identifier": { "@type": "PropertyValue", "propertyID": "doi", "value": "10.3390/rs8121016" } }, { "@type": "CreativeWork", "@id": "https://doi.org/10.3390/rs8110924", "name": "Urban\u2013Rural Contrasts in Central-Eastern European Cities Using a MODIS 4 Micron Time Series", "identifier": { "@type": "PropertyValue", "propertyID": "doi", "value": "10.3390/rs8110924" } }, { "@type": "CreativeWork", "@id": "https://doi.org/10.3390/rs8110901", "name": "Differential Heating in the Indian Ocean Differentially Modulates Precipitation in the Ganges and Brahmaputra Basins", "identifier": { "@type": "PropertyValue", "propertyID": "doi", "value": "10.3390/rs8110901" } }, { "@type": "CreativeWork", "@id": "https://doi.org/10.3390/rs8040297", "name": "A comparison of multiple datasets for monitoring thermal time in urban areas over the U.S. upper midwest", "identifier": [ { "@type": "PropertyValue", "propertyID": "eid", "value": "2-s2.0-84971607261" }, { "@type": "PropertyValue", "propertyID": "doi", "value": "10.3390/rs8040297" } ] }, { "@type": "CreativeWork", "@id": "https://doi.org/10.1177/0042098015608568", "name": "Divergent patterns of built-up urban space growth following post-socialist changes", "identifier": [ { "@type": "PropertyValue", "propertyID": "eid", "value": "2-s2.0-84991657477" }, { "@type": "PropertyValue", "propertyID": "doi", "value": "10.1177/0042098015608568" } ] }, { "@type": "CreativeWork", "@id": "https://doi.org/10.1175/jas-d-16-0084.1", "name": "Effects of urban plume aerosols on a mesoscale convective system", "identifier": [ { "@type": "PropertyValue", "propertyID": "doi", "value": "10.1175/jas-d-16-0084.1" }, { "@type": "PropertyValue", "propertyID": "eid", "value": "2-s2.0-85003678373" } ] }, { "@type": "CreativeWork", "@id": "https://doi.org/10.1007/978-3-319-42638-9_10", "name": "Land change in European Russia: 1982-2011", "identifier": [ { "@type": "PropertyValue", "propertyID": "doi", "value": "10.1007/978-3-319-42638-9_10" }, { "@type": "PropertyValue", "propertyID": "eid", "value": "2-s2.0-85009691462" } ] }, { "@type": "CreativeWork", "@id": "https://doi.org/10.3390/rs8100831", "name": "Urban heat islands as viewed by microwave radiometers and thermal time indices", "identifier": [ { "@type": "PropertyValue", "propertyID": "eid", "value": "2-s2.0-85010697395" }, { "@type": "PropertyValue", "propertyID": "doi", "value": "10.3390/rs8100831" } ] }, { "@type": "CreativeWork", "@id": "https://doi.org/10.1109/jstars.2016.2532740", "name": "Viewing Global Megacities Through MODIS 4-\u03bcm Radiance: Effects of Time of Year, Latitude, Land Cover, and View Zenith Angle", "identifier": [ { "@type": "PropertyValue", "propertyID": "doi", "value": "10.1109/jstars.2016.2532740" }, { "@type": "PropertyValue", "propertyID": "eid", "value": "2-s2.0-84960969736" } ] }, { "@type": "CreativeWork", "@id": "https://doi.org/10.1109/jstars.2015.2496951", "name": "Web-Enabled Landsat Data Time Series for Monitoring Urban Heat Island Impacts on Land Surface Phenology", "identifier": [ { "@type": "PropertyValue", "propertyID": "eid", "value": "2-s2.0-84949844107" }, { "@type": "PropertyValue", "propertyID": "doi", "value": "10.1109/jstars.2015.2496951" } ] }, { "@type": "CreativeWork", "@id": "https://doi.org/10.1016/j.ejrh.2014.09.003", "name": "Assessing the impacts of climate and land use and land cover change on the freshwater availability in the Brahmaputra River basin", "identifier": [ { "@type": "PropertyValue", "propertyID": "eid", "value": "2-s2.0-84925003592" }, { "@type": "PropertyValue", "propertyID": "doi", "value": "10.1016/j.ejrh.2014.09.003" } ] }, { "@type": "CreativeWork", "@id": "https://doi.org/10.1109/jurse.2015.7120496", "name": "Change in our MIDST: Toward detection and analysis of urban land dynamics in North and South America", "identifier": [ { "@type": "PropertyValue", "propertyID": "doi", "value": "10.1109/jurse.2015.7120496" }, { "@type": "PropertyValue", "propertyID": "eid", "value": "2-s2.0-84938863677" } ] }, { "@type": "CreativeWork", "@id": "https://doi.org/10.3390/w7094914", "name": "Evapotranspiration in the Nile Basin: Identifying dynamics and drivers, 2002-2011", "identifier": [ { "@type": "PropertyValue", "propertyID": "doi", "value": "10.3390/w7094914" }, { "@type": "PropertyValue", "propertyID": "eid", "value": "2-s2.0-84980037522" } ] }, { "@type": "CreativeWork", "@id": "https://doi.org/10.1016/j.rse.2015.04.019", "name": "Land surface phenology along urban to rural gradients in the U.S. Great Plains", "identifier": [ { "@type": "PropertyValue", "propertyID": "eid", "value": "2-s2.0-84929317289" }, { "@type": "PropertyValue", "propertyID": "doi", "value": "10.1016/j.rse.2015.04.019" } ] }, { "@type": "CreativeWork", "@id": "https://doi.org/10.1109/jurse.2015.7120507", "name": "MODIS 4 \u03bcm radiance in global megacities depends on seasonality, land cover, and view zenith angle", "identifier": [ { "@type": "PropertyValue", "propertyID": "eid", "value": "2-s2.0-84938872331" }, { "@type": "PropertyValue", "propertyID": "doi", "value": "10.1109/jurse.2015.7120507" } ] }, { "@type": "CreativeWork", "@id": "https://doi.org/10.5194/nhess-15-147-2015", "name": "Spatial and seasonal responses of precipitation in the Ganges and Brahmaputra river basins to ENSO and Indian Ocean dipole modes: Implications for flooding and drought", "identifier": [ { "@type": "PropertyValue", "propertyID": "doi", "value": "10.5194/nhess-15-147-2015" }, { "@type": "PropertyValue", "propertyID": "eid", "value": "2-s2.0-84921917078" } ] }, { "@type": "CreativeWork", "@id": "https://doi.org/10.1109/jurse.2015.7120469", "name": "Using Web-enabled Landsat Data time series to analyze the impacts of urban areas on remotely sensed vegetation dynamics", "identifier": [ { "@type": "PropertyValue", "propertyID": "doi", "value": "10.1109/jurse.2015.7120469" }, { "@type": "PropertyValue", "propertyID": "eid", "value": "2-s2.0-84938837964" } ] }, { "@type": "CreativeWork", "@id": "https://doi.org/10.1016/j.rse.2015.08.018", "name": "Using multiple remote sensing perspectives to identify and attribute land surface dynamics in Central Asia 2001-2013", "identifier": [ { "@type": "PropertyValue", "propertyID": "eid", "value": "2-s2.0-84942292232" }, { "@type": "PropertyValue", "propertyID": "doi", "value": "10.1016/j.rse.2015.08.018" } ] }, { "@type": "CreativeWork", "@id": "https://doi.org/10.1007/698_2012_175", "name": "Climate change in Turkmenistan", "identifier": [ { "@type": "PropertyValue", "propertyID": "doi", "value": "10.1007/698_2012_175" }, { "@type": "PropertyValue", "propertyID": "eid", "value": "2-s2.0-84983146635" } ] }, { "@type": "CreativeWork", "@id": "https://doi.org/10.1890/120369", "name": "Climate forcing of wetland landscape connectivity in the Great Plains", "identifier": [ { "@type": "PropertyValue", "propertyID": "doi", "value": "10.1890/120369" }, { "@type": "PropertyValue", "propertyID": "eid", "value": "2-s2.0-84894248037" } ] }, { "@type": "CreativeWork", "@id": "https://doi.org/10.1007/s10980-013-9980-z", "name": "Dynamic connectivity of temporary wetlands in the southern Great Plains", "identifier": [ { "@type": "PropertyValue", "propertyID": "eid", "value": "2-s2.0-84897603834" }, { "@type": "PropertyValue", "propertyID": "doi", "value": "10.1007/s10980-013-9980-z" } ] }, { "@type": "CreativeWork", "name": "EPIDEMIA - An EcoHealth informatics system for integrated forecasting of malaria epidemics", "identifier": { "@type": "PropertyValue", "propertyID": "eid", "value": "2-s2.0-84911896339" } }, { "@type": "CreativeWork", "@id": "https://doi.org/10.1016/j.jaridenv.2014.05.006", "name": "Hydrological dynamics of temporary wetlands in the southern Great Plains as a function of surrounding land use", "identifier": [ { "@type": "PropertyValue", "propertyID": "doi", "value": "10.1016/j.jaridenv.2014.05.006" }, { "@type": "PropertyValue", "propertyID": "eid", "value": "2-s2.0-84901983149" } ] }, { "@type": "CreativeWork", "@id": "https://doi.org/10.1088/1748-9326/9/12/124015", "name": "Land surface anomalies preceding the 2010 Russian heat wave and a link to the North Atlantic oscillation", "identifier": [ { "@type": "PropertyValue", "propertyID": "doi", "value": "10.1088/1748-9326/9/12/124015" }, { "@type": "PropertyValue", "propertyID": "eid", "value": "2-s2.0-84919819923" } ] }, { "@type": "CreativeWork", "@id": "https://doi.org/10.1016/j.jhydrol.2014.05.016", "name": "Projections of the Ganges-Brahmaputra precipitation-Downscaled from GCM predictors", "identifier": [ { "@type": "PropertyValue", "propertyID": "doi", "value": "10.1016/j.jhydrol.2014.05.016" }, { "@type": "PropertyValue", "propertyID": "eid", "value": "2-s2.0-84904906764" } ] }, { "@type": "CreativeWork", "@id": "https://doi.org/10.1016/j.agrformet.2014.04.001", "name": "Response of vegetation growth and productivity to spring climate indicators in the conterminous United States derived from satellite remote sensing data fusion", "identifier": [ { "@type": "PropertyValue", "propertyID": "eid", "value": "2-s2.0-84899669459" }, { "@type": "PropertyValue", "propertyID": "doi", "value": "10.1016/j.agrformet.2014.04.001" } ] }, { "@type": "CreativeWork", "@id": "https://doi.org/10.3390/rs6010020", "name": "A new approach for the analysis of hyperspectral data: Theory and sensitivity analysis of the moment distance method", "identifier": [ { "@type": "PropertyValue", "propertyID": "doi", "value": "10.3390/rs6010020" }, { "@type": "PropertyValue", "propertyID": "eid", "value": "2-s2.0-84893419703" } ] }, { "@type": "CreativeWork", "@id": "https://doi.org/10.1109/lgrs.2012.2194472", "name": "Analysis of waveform lidar data using shape-based metrics", "identifier": [ { "@type": "PropertyValue", "propertyID": "eid", "value": "2-s2.0-84887621380" }, { "@type": "PropertyValue", "propertyID": "doi", "value": "10.1109/lgrs.2012.2194472" } ] }, { "@type": "CreativeWork", "@id": "https://doi.org/10.1002/jgrd.50387", "name": "Evaluation of a coupled event-driven phenology and evapotranspiration model for croplands in the United States northern Great Plains", "identifier": [ { "@type": "PropertyValue", "propertyID": "doi", "value": "10.1002/jgrd.50387" }, { "@type": "PropertyValue", "propertyID": "eid", "value": "2-s2.0-84880253683" } ] }, { "@type": "CreativeWork", "@id": "https://doi.org/10.1109/jurse#.2013.6550674", "name": "Exploring MODIS band 23 for urban remote sensing: Seasonal and view angle effects", "identifier": [ { "@type": "PropertyValue", "propertyID": "eid", "value": "2-s2.0-84881320833" }, { "@type": "PropertyValue", "propertyID": "doi", "value": "10.1109/jurse#.2013.6550674" } ] }, { "@type": "CreativeWork", "@id": "https://doi.org/10.1080/2150704x.2013.853891", "name": "Exploring the middle infrared region for urban remote sensing: Seasonal and view angle effects", "identifier": [ { "@type": "PropertyValue", "propertyID": "doi", "value": "10.1080/2150704x.2013.853891" }, { "@type": "PropertyValue", "propertyID": "eid", "value": "2-s2.0-84890075884" } ] }, { "@type": "CreativeWork", "@id": "https://doi.org/10.1088/1748-9326/8/4/045002", "name": "Land surface phenologies and seasonalities using cool earthlight in mid-latitude croplands", "identifier": [ { "@type": "PropertyValue", "propertyID": "doi", "value": "10.1088/1748-9326/8/4/045002" }, { "@type": "PropertyValue", "propertyID": "eid", "value": "2-s2.0-84892183143" } ] }, { "@type": "CreativeWork", "@id": "https://doi.org/10.1007/978-94-007-6925-0_11", "name": "Phenologies of north american grasslands and grasses", "identifier": [ { "@type": "PropertyValue", "propertyID": "doi", "value": "10.1007/978-94-007-6925-0_11" }, { "@type": "PropertyValue", "propertyID": "eid", "value": "2-s2.0-84928863826" } ] }, { "@type": "CreativeWork", "@id": "https://doi.org/10.1007/978-94-007-6925-0_31", "name": "Phenology in higher education: ground-based and spatial analysis tools", "identifier": [ { "@type": "PropertyValue", "propertyID": "eid", "value": "2-s2.0-84928863749" }, { "@type": "PropertyValue", "propertyID": "doi", "value": "10.1007/978-94-007-6925-0_31" } ] }, { "@type": "CreativeWork", "@id": "https://doi.org/10.1007/978-94-007-6925-0_21", "name": "Remote sensing of land surface phenology: A prospectus", "identifier": [ { "@type": "PropertyValue", "propertyID": "eid", "value": "2-s2.0-84892167596" }, { "@type": "PropertyValue", "propertyID": "doi", "value": "10.1007/978-94-007-6925-0_21" } ] }, { "@type": "CreativeWork", "@id": "https://doi.org/10.1002/2013eo200001", "name": "The false spring of 2012, earliest in North American record", "identifier": [ { "@type": "PropertyValue", "propertyID": "doi", "value": "10.1002/2013eo200001" }, { "@type": "PropertyValue", "propertyID": "eid", "value": "2-s2.0-84978525724" } ] }, { "@type": "CreativeWork", "@id": "https://doi.org/10.1007/978-94-007-6925-0_26", "name": "Vegetation phenology in global change studies", "identifier": [ { "@type": "PropertyValue", "propertyID": "eid", "value": "2-s2.0-84912038854" }, { "@type": "PropertyValue", "propertyID": "doi", "value": "10.1007/978-94-007-6925-0_26" } ] }, { "@type": "CreativeWork", "name": "A computer system for forecasting malaria epidemic risk using remotely-sensed environmental data", "identifier": { "@type": "PropertyValue", "propertyID": "eid", "value": "2-s2.0-84894183200" } }, { "@type": "CreativeWork", "@id": "https://doi.org/10.5194/bg-9-141-2012", "name": "A new concept for simulation of vegetated land surface dynamics-Part 1: The event driven phenology model", "identifier": [ { "@type": "PropertyValue", "propertyID": "eid", "value": "2-s2.0-84856365041" }, { "@type": "PropertyValue", "propertyID": "doi", "value": "10.5194/bg-9-141-2012" } ] }, { "@type": "CreativeWork", "@id": "https://doi.org/10.5194/bg-9-161-2012", "name": "Alternative methods to predict actual evapotranspiration illustrate the importance of accounting for phenology-Part 2: The event driven phenology model", "identifier": [ { "@type": "PropertyValue", "propertyID": "doi", "value": "10.5194/bg-9-161-2012" }, { "@type": "PropertyValue", "propertyID": "eid", "value": "2-s2.0-84856378634" } ] }, { "@type": "CreativeWork", "@id": "https://doi.org/10.1007/s11707-012-0327-x", "name": "Combined analysis of land cover change and NDVI trends in the Northern Eurasian grain belt", "identifier": [ { "@type": "PropertyValue", "propertyID": "doi", "value": "10.1007/s11707-012-0327-x" }, { "@type": "PropertyValue", "propertyID": "eid", "value": "2-s2.0-84864121685" } ] }, { "@type": "CreativeWork", "@id": "https://doi.org/10.1007/s11707-012-0318-y", "name": "Grain production trends in Russia, Ukraine and Kazakhstan: New opportunities in an increasingly unstable world?", "identifier": [ { "@type": "PropertyValue", "propertyID": "eid", "value": "2-s2.0-84864139570" }, { "@type": "PropertyValue", "propertyID": "doi", "value": "10.1007/s11707-012-0318-y" } ] }, { "@type": "CreativeWork", "@id": "https://doi.org/10.1186/1475-2875-11-165", "name": "Remote sensing-based time series models for malaria early warning in the highlands of Ethiopia", "identifier": [ { "@type": "PropertyValue", "propertyID": "eid", "value": "2-s2.0-84860797879" }, { "@type": "PropertyValue", "propertyID": "doi", "value": "10.1186/1475-2875-11-165" } ] }, { "@type": "CreativeWork", "@id": "https://doi.org/10.1016/j.rse.2012.07.018", "name": "Satellite microwave remote sensing for environmental modeling of mosquito population dynamics", "identifier": [ { "@type": "PropertyValue", "propertyID": "eid", "value": "2-s2.0-84864920908" }, { "@type": "PropertyValue", "propertyID": "doi", "value": "10.1016/j.rse.2012.07.018" } ] }, { "@type": "CreativeWork", "@id": "https://doi.org/10.1560/ijps.60.1-2.65", "name": "Separability of maize and soybean in the spectral regions of chlorophyll and carotenoids using the Moment Distance Index", "identifier": [ { "@type": "PropertyValue", "propertyID": "eid", "value": "2-s2.0-84874262045" }, { "@type": "PropertyValue", "propertyID": "doi", "value": "10.1560/ijps.60.1-2.65" } ] }, { "@type": "CreativeWork", "@id": "https://doi.org/10.1111/j.1365-3156.2012.03058.x", "name": "Spatial synchrony of malaria outbreaks in a highland region of Ethiopia", "identifier": [ { "@type": "PropertyValue", "propertyID": "eid", "value": "2-s2.0-84866321790" }, { "@type": "PropertyValue", "propertyID": "doi", "value": "10.1111/j.1365-3156.2012.03058.x" } ] }, { "@type": "CreativeWork", "@id": "https://doi.org/10.1007/s10980-011-9672-5", "name": "Beyond words: Effective graphics and metadata are keys to concise scientific communication", "identifier": [ { "@type": "PropertyValue", "propertyID": "eid", "value": "2-s2.0-80855138767" }, { "@type": "PropertyValue", "propertyID": "doi", "value": "10.1007/s10980-011-9672-5" } ] }, { "@type": "CreativeWork", "@id": "https://doi.org/10.1007/s10980-010-9548-0", "name": "Spatial and temporal heterogeneity of agricultural fires in the central United States in relation to land cover and land use", "identifier": [ { "@type": "PropertyValue", "propertyID": "doi", "value": "10.1007/s10980-010-9548-0" }, { "@type": "PropertyValue", "propertyID": "eid", "value": "2-s2.0-78751650306" } ] }, { "@type": "CreativeWork", "name": "A land surface phenology assessment of the northern polar regions using MODIS reflectance time series", "identifier": { "@type": "PropertyValue", "propertyID": "eid", "value": "2-s2.0-77956133479" } }, { "@type": "CreativeWork", "@id": "https://doi.org/10.1016/j.cageo.2009.05.005", "name": "Spatio-spectral heterogeneity analysis using EO-1 Hyperion imagery", "identifier": [ { "@type": "PropertyValue", "propertyID": "doi", "value": "10.1016/j.cageo.2009.05.005" }, { "@type": "PropertyValue", "propertyID": "eid", "value": "2-s2.0-73749086208" } ] }, { "@type": "CreativeWork", "@id": "https://doi.org/10.1007/978-90-481-3335-2_9", "name": "Spatio-temporal statistical methods for modelling land surface phenology", "identifier": [ { "@type": "PropertyValue", "propertyID": "eid", "value": "2-s2.0-84920050329" }, { "@type": "PropertyValue", "propertyID": "doi", "value": "10.1007/978-90-481-3335-2_9" } ] }, { "@type": "CreativeWork", "@id": "https://doi.org/10.1029/2010eo010003", "name": "Toward a U.S. national phenological assessment", "identifier": [ { "@type": "PropertyValue", "propertyID": "doi", "value": "10.1029/2010eo010003" }, { "@type": "PropertyValue", "propertyID": "eid", "value": "2-s2.0-77954580094" } ] }, { "@type": "CreativeWork", "@id": "https://doi.org/10.2747/1548-1603.46.3.315", "name": "Area between peaks feature in the derivative reflectance curve as a sensitive indicator of change in chlorophyll concentration", "identifier": [ { "@type": "PropertyValue", "propertyID": "eid", "value": "2-s2.0-76149096841" }, { "@type": "PropertyValue", "propertyID": "doi", "value": "10.2747/1548-1603.46.3.315" } ] }, { "@type": "CreativeWork", "@id": "https://doi.org/10.1088/1748-9326/4/4/045018", "name": "Change and persistence in land surface phenologies of the Don and Dnieper river basins", "identifier": [ { "@type": "PropertyValue", "propertyID": "doi", "value": "10.1088/1748-9326/4/4/045018" }, { "@type": "PropertyValue", "propertyID": "eid", "value": "2-s2.0-70549096153" } ] }, { "@type": "CreativeWork", "@id": "https://doi.org/10.1016/j.isprsjprs.2009.05.002", "name": "Change of spatial information under rescaling: A case study using multi-resolution image series", "identifier": [ { "@type": "PropertyValue", "propertyID": "eid", "value": "2-s2.0-70350618925" }, { "@type": "PropertyValue", "propertyID": "doi", "value": "10.1016/j.isprsjprs.2009.05.002" } ] }, { "@type": "CreativeWork", "@id": "https://doi.org/10.1016/j.jaridenv.2009.04.022", "name": "Climate and environmental change in arid Central Asia: Impacts, vulnerability, and adaptations", "identifier": [ { "@type": "PropertyValue", "propertyID": "eid", "value": "2-s2.0-67650759401" }, { "@type": "PropertyValue", "propertyID": "doi", "value": "10.1016/j.jaridenv.2009.04.022" } ] }, { "@type": "CreativeWork", "@id": "https://doi.org/10.1088/1748-9326/4/4/045012", "name": "Dual scale trend analysis for evaluating climatic and anthropogenic effects on the vegetated land surface in Russia and Kazakhstan", "identifier": [ { "@type": "PropertyValue", "propertyID": "eid", "value": "2-s2.0-70450277327" }, { "@type": "PropertyValue", "propertyID": "doi", "value": "10.1088/1748-9326/4/4/045012" } ] }, { "@type": "CreativeWork", "@id": "https://doi.org/10.1038/4571089a", "name": "Global change: Carbon in idle croplands", "identifier": [ { "@type": "PropertyValue", "propertyID": "doi", "value": "10.1038/4571089a" }, { "@type": "PropertyValue", "propertyID": "eid", "value": "2-s2.0-61349088520" } ] }, { "@type": "CreativeWork", "@id": "https://doi.org/10.1109/igarss.2009.5417922", "name": "On the ability of the ERS scatterometer to detect vegetation properties", "identifier": [ { "@type": "PropertyValue", "propertyID": "eid", "value": "2-s2.0-77950935972" }, { "@type": "PropertyValue", "propertyID": "doi", "value": "10.1109/igarss.2009.5417922" } ] }, { "@type": "CreativeWork", "@id": "https://doi.org/10.1890/09.wb.021", "name": "Phenological trend estimation: A reply to sagarin", "identifier": [ { "@type": "PropertyValue", "propertyID": "eid", "value": "2-s2.0-68949167783" }, { "@type": "PropertyValue", "propertyID": "doi", "value": "10.1890/09.wb.021" } ] }, { "@type": "CreativeWork", "@id": "https://doi.org/10.1088/1748-9326/4/4/045020", "name": "Reanalysis data underestimate significant changes in growing season weather in Kazakhstan", "identifier": [ { "@type": "PropertyValue", "propertyID": "doi", "value": "10.1088/1748-9326/4/4/045020" }, { "@type": "PropertyValue", "propertyID": "eid", "value": "2-s2.0-70450235724" } ] }, { "@type": "CreativeWork", "@id": "https://doi.org/10.1029/2008jg000883", "name": "Remote sensing of vegetation 3-D structure for biodiversity and habitat: Review and implications for lidar and radar spaceborne missions", "identifier": [ { "@type": "PropertyValue", "propertyID": "doi", "value": "10.1029/2008jg000883" }, { "@type": "PropertyValue", "propertyID": "eid", "value": "2-s2.0-77952004972" } ] }, { "@type": "CreativeWork", "@id": "https://doi.org/10.1890/070217", "name": "Tracking the rhythm of the seasons in the face of global change: Phenological research in the 21 st century", "identifier": [ { "@type": "PropertyValue", "propertyID": "doi", "value": "10.1890/070217" }, { "@type": "PropertyValue", "propertyID": "eid", "value": "2-s2.0-61849097403" } ] }, { "@type": "CreativeWork", "@id": "https://doi.org/10.1016/j.geomorph.2008.04.016", "name": "Channel and island change in the lower Platte River, Eastern Nebraska, USA: 1855-2005", "identifier": [ { "@type": "PropertyValue", "propertyID": "doi", "value": "10.1016/j.geomorph.2008.04.016" }, { "@type": "PropertyValue", "propertyID": "eid", "value": "2-s2.0-55049110450" } ] }, { "@type": "CreativeWork", "@id": "https://doi.org/10.1080/01431160802348093", "name": "Characterizing tropical forest spatio-temporal heterogeneity using the wide dynamic range vegetation index (WDRVI)", "identifier": [ { "@type": "PropertyValue", "propertyID": "doi", "value": "10.1080/01431160802348093" }, { "@type": "PropertyValue", "propertyID": "eid", "value": "2-s2.0-56349124288" } ] }, { "@type": "CreativeWork", "@id": "https://doi.org/10.1016/j.tree.2008.01.002", "name": "Landsat still contributing to environmental research", "identifier": [ { "@type": "PropertyValue", "propertyID": "doi", "value": "10.1016/j.tree.2008.01.002" }, { "@type": "PropertyValue", "propertyID": "eid", "value": "2-s2.0-40749159137" } ] }, { "@type": "CreativeWork", "@id": "https://doi.org/10.1175/2008jcli2074.1", "name": "Northern annular mode effects on the land surface phenologies of northern Eurasia", "identifier": [ { "@type": "PropertyValue", "propertyID": "eid", "value": "2-s2.0-53649083174" }, { "@type": "PropertyValue", "propertyID": "doi", "value": "10.1175/2008jcli2074.1" } ] }, { "@type": "CreativeWork", "@id": "https://doi.org/10.1080/17474230701786109", "name": "War, drought, and phenology: Changes in the land surface phenology of Afghanistan since 1982", "identifier": [ { "@type": "PropertyValue", "propertyID": "eid", "value": "2-s2.0-54049153175" }, { "@type": "PropertyValue", "propertyID": "doi", "value": "10.1080/17474230701786109" } ] }, { "@type": "CreativeWork", "@id": "https://doi.org/10.1016/j.foreco.2007.07.004", "name": "Assessing sustainability indicators for tropical forests: Spatio-temporal heterogeneity, logging intensity, and dung beetle communities", "identifier": [ { "@type": "PropertyValue", "propertyID": "eid", "value": "2-s2.0-36049010403" }, { "@type": "PropertyValue", "propertyID": "doi", "value": "10.1016/j.foreco.2007.07.004" } ] }, { "@type": "CreativeWork", "name": "Effects of aphid (Homoptera) abundance and surrounding vegetation on the encounter rate of coccinellidae (Coleoptera), chrysopidae (Neuroptera), and nabidae (Hemiptera) in Alfalfa", "identifier": { "@type": "PropertyValue", "propertyID": "eid", "value": "2-s2.0-33845338796" } }, { "@type": "CreativeWork", "@id": "https://doi.org/10.1109/lgrs.2006.871745", "name": "Monitoring sustainability in tropical forests: How changes in canopy spatial pattern can indicate forest stands for biodiversity surveys", "identifier": [ { "@type": "PropertyValue", "propertyID": "doi", "value": "10.1109/lgrs.2006.871745" }, { "@type": "PropertyValue", "propertyID": "eid", "value": "2-s2.0-33746650160" } ] }, { "@type": "CreativeWork", "@id": "https://doi.org/10.1109/igarss.2006.179", "name": "Synergistic use of AMSR-E and MODIS data for understanding grassland land surface phenologies", "identifier": [ { "@type": "PropertyValue", "propertyID": "doi", "value": "10.1109/igarss.2006.179" }, { "@type": "PropertyValue", "propertyID": "eid", "value": "2-s2.0-34948875211" } ] }, { "@type": "CreativeWork", "@id": "https://doi.org/10.1109/igarss.2006.630", "name": "War, Drought, and Phenology: Changes in the land surface phenology of Afghanistan since 1982", "identifier": [ { "@type": "PropertyValue", "propertyID": "doi", "value": "10.1109/igarss.2006.630" }, { "@type": "PropertyValue", "propertyID": "eid", "value": "2-s2.0-34948883195" } ] }, { "@type": "CreativeWork", "@id": "https://doi.org/10.1080/01431160512331326657", "name": "A statistical framework for the analysis of long image time series", "identifier": [ { "@type": "PropertyValue", "propertyID": "eid", "value": "2-s2.0-19344365683" }, { "@type": "PropertyValue", "propertyID": "doi", "value": "10.1080/01431160512331326657" } ] }, { "@type": "CreativeWork", "@id": "https://doi.org/10.1175/mwr2897.1", "name": "Influence of a hailstreak on boundary layer evolution", "identifier": [ { "@type": "PropertyValue", "propertyID": "doi", "value": "10.1175/mwr2897.1" }, { "@type": "PropertyValue", "propertyID": "eid", "value": "2-s2.0-18544381699" } ] }, { "@type": "CreativeWork", "@id": "https://doi.org/10.1111/j.1365-2486.2005.00949.x", "name": "Land surface phenology and temperature variation in the International Geosphere-Biosphere Program high-latitude transects", "identifier": [ { "@type": "PropertyValue", "propertyID": "eid", "value": "2-s2.0-19344370107" }, { "@type": "PropertyValue", "propertyID": "doi", "value": "10.1111/j.1365-2486.2005.00949.x" } ] }, { "@type": "CreativeWork", "@id": "https://doi.org/10.1029/2005gl023407", "name": "Spatio-temporal change analysis to identify anomalous variation in the vegetated land surface: ENSO effects in tropical South America", "identifier": [ { "@type": "PropertyValue", "propertyID": "eid", "value": "2-s2.0-29344452479" }, { "@type": "PropertyValue", "propertyID": "doi", "value": "10.1029/2005gl023407" } ] }, { "@type": "CreativeWork", "@id": "https://doi.org/10.1175/mwr2914.1", "name": "The July 2003 Dakota hailswaths: Creation, characteristics, and possible impacts", "identifier": [ { "@type": "PropertyValue", "propertyID": "doi", "value": "10.1175/mwr2914.1" }, { "@type": "PropertyValue", "propertyID": "eid", "value": "2-s2.0-20444479847" } ] }, { "@type": "CreativeWork", "@id": "https://doi.org/10.1080/01431160500177315", "name": "Using Landsat thermal imagery and GIS for identification of groundwater discharge into shallow groundwater-dominated lakes", "identifier": [ { "@type": "PropertyValue", "propertyID": "eid", "value": "2-s2.0-26844513637" }, { "@type": "PropertyValue", "propertyID": "doi", "value": "10.1080/01431160500177315" } ] }, { "@type": "CreativeWork", "@id": "https://doi.org/10.1016/j.rse.2003.11.006", "name": "Land surface phenology, climatic variation, and institutional change: Analyzing agricultural land cover change in Kazakhstan", "identifier": [ { "@type": "PropertyValue", "propertyID": "doi", "value": "10.1016/j.rse.2003.11.006" }, { "@type": "PropertyValue", "propertyID": "eid", "value": "2-s2.0-1242298801" } ] }, { "@type": "CreativeWork", "name": "Monitoring spatial structure of crop canopies using semivariograms", "identifier": { "@type": "PropertyValue", "propertyID": "eid", "value": "2-s2.0-15944403617" } }, { "@type": "CreativeWork", "@id": "https://doi.org/10.1051/forest:2004079", "name": "Picea glauca dynamics and spatial pattern of seedlings regeneration along a chronosequence in the mixedwood section of the boreal forest", "identifier": [ { "@type": "PropertyValue", "propertyID": "eid", "value": "2-s2.0-14844289611" }, { "@type": "PropertyValue", "propertyID": "doi", "value": "10.1051/forest:2004079" } ] }, { "@type": "CreativeWork", "name": "Regional MODIS analysis of abandoned agricultural lands in the Kazakh steppes", "identifier": { "@type": "PropertyValue", "propertyID": "eid", "value": "2-s2.0-15944394115" } }, { "@type": "CreativeWork", "name": "Satellite monitoring of vegetation dynamics: Sensitivity enhancement by the wide dynamic range vegetation index", "identifier": { "@type": "PropertyValue", "propertyID": "eid", "value": "2-s2.0-2542449956" } }, { "@type": "CreativeWork", "@id": "https://doi.org/10.1109/tgrs.2003.815674", "name": "The effect of solar illumination angle and sensor view angle on observed patterns of spatial structure in tallgrass prairie", "identifier": [ { "@type": "PropertyValue", "propertyID": "doi", "value": "10.1109/tgrs.2003.815674" }, { "@type": "PropertyValue", "propertyID": "eid", "value": "2-s2.0-1242331307" } ] }, { "@type": "CreativeWork", "@id": "https://doi.org/10.1109/lgrs.2004.834805", "name": "Trend analysis of the pathfinder AVHRR land (PAL) NDVI data for the deserts of central Asia", "identifier": [ { "@type": "PropertyValue", "propertyID": "doi", "value": "10.1109/lgrs.2004.834805" }, { "@type": "PropertyValue", "propertyID": "eid", "value": "2-s2.0-8344267535" } ] }, { "@type": "CreativeWork", "@id": "https://doi.org/10.1007/s00442-002-0925-5", "name": "Ecophysiological consequences of contrasting microenvironments on the desiccation tolerant moss Tortula ruralis", "identifier": [ { "@type": "PropertyValue", "propertyID": "doi", "value": "10.1007/s00442-002-0925-5" }, { "@type": "PropertyValue", "propertyID": "eid", "value": "2-s2.0-0036936299" } ] }, { "@type": "CreativeWork", "@id": "https://doi.org/10.1016/s1350-4533(01)00106-0", "name": "Lacunarity analysis of spatial pattern in CT images of vertebral trabecular bone for assessing osteoporosis", "identifier": [ { "@type": "PropertyValue", "propertyID": "eid", "value": "2-s2.0-0036189903" }, { "@type": "PropertyValue", "propertyID": "doi", "value": "10.1016/s1350-4533(01)00106-0" } ] }, { "@type": "CreativeWork", "name": "Land surface dynamics in Kazakhstan: Dynamic baselines and change detection", "identifier": { "@type": "PropertyValue", "propertyID": "eid", "value": "2-s2.0-0036030368" } }, { "@type": "CreativeWork", "name": "Landscape trajectory analysis: Spatio-temporal dynamics from image time series", "identifier": { "@type": "PropertyValue", "propertyID": "eid", "value": "2-s2.0-0036400904" } }, { "@type": "CreativeWork", "@id": "https://doi.org/10.1080/01431160210122303", "name": "The effect of rescaling on fine spatial resolution NDVI data: A test using multi-resolution aircraft sensor data", "identifier": [ { "@type": "PropertyValue", "propertyID": "eid", "value": "2-s2.0-0037144616" }, { "@type": "PropertyValue", "propertyID": "doi", "value": "10.1080/01431160210122303" } ] }, { "@type": "CreativeWork", "@id": "https://doi.org/10.1016/s1350-4533(01)00057-1", "name": "Fractal signature and lacunarity in the measurement of the texture of trabecular bone in clinical CT images", "identifier": [ { "@type": "PropertyValue", "propertyID": "eid", "value": "2-s2.0-0034846306" }, { "@type": "PropertyValue", "propertyID": "doi", "value": "10.1016/s1350-4533(01)00057-1" } ] }, { "@type": "CreativeWork", "@id": "https://doi.org/10.1046/j.1466-822x.2001.00251.x", "name": "Pantropical dynamics of 'intact' forest canopy texture", "identifier": [ { "@type": "PropertyValue", "propertyID": "eid", "value": "2-s2.0-0034951290" }, { "@type": "PropertyValue", "propertyID": "doi", "value": "10.1046/j.1466-822x.2001.00251.x" } ] }, { "@type": "CreativeWork", "@id": "https://doi.org/10.1023/a:1026594623578", "name": "Diurnal variation in photochemical dynamics and surface reflectance of the desiccation-tolerant moss, Tortula ruralis", "identifier": [ { "@type": "PropertyValue", "propertyID": "eid", "value": "2-s2.0-0034489913" }, { "@type": "PropertyValue", "propertyID": "doi", "value": "10.1023/a:1026594623578" } ] }, { "@type": "CreativeWork", "name": "Response of surface reflectivity to anthropogenic land cover change in the U.S. high plains, 1974-1992", "identifier": { "@type": "PropertyValue", "propertyID": "eid", "value": "2-s2.0-0031643363" } }, { "@type": "CreativeWork", "name": "Seasonality of finely-resolved spatial structure of NDVI and its component reflectances in tallgrass prairie", "identifier": { "@type": "PropertyValue", "propertyID": "eid", "value": "2-s2.0-0032216209" } }, { "@type": "CreativeWork", "name": "Variability of spectral reflectance and vegetation indices in tallgrass prairie: spatio-temporal analysis using semivariograms and close-range remote sensing", "identifier": { "@type": "PropertyValue", "propertyID": "eid", "value": "2-s2.0-0031620218" } }, { "@type": "CreativeWork", "@id": "https://doi.org/10.1016/s0034-4257(97)00043-6", "name": "A technique for monitoring ecological disturbance in tallgrass prairie using seasonal NDVI trajectories and a discriminant function mixture model", "identifier": [ { "@type": "PropertyValue", "propertyID": "doi", "value": "10.1016/s0034-4257(97)00043-6" }, { "@type": "PropertyValue", "propertyID": "eid", "value": "2-s2.0-0031205903" } ] }, { "@type": "CreativeWork", "name": "Advantages of principal components analysis for land cover segmentation from SAR image series", "identifier": { "@type": "PropertyValue", "propertyID": "eid", "value": "2-s2.0-5244379903" } }, { "@type": "CreativeWork", "name": "Analysis of flooding dynamics in the Pantanal, using time series of ERS-1 SAR imagery", "identifier": { "@type": "PropertyValue", "propertyID": "eid", "value": "2-s2.0-5244225513" } }, { "@type": "CreativeWork", "name": "Spatio-temporal analysis of SAR image series from the Brazilian pantanal", "identifier": { "@type": "PropertyValue", "propertyID": "eid", "value": "2-s2.0-5244314499" } }, { "@type": "CreativeWork", "name": "Applying principal components analysis to image time series: effects on scene segmentation and spatial structure", "identifier": { "@type": "PropertyValue", "propertyID": "eid", "value": "2-s2.0-0029718176" } }, { "@type": "CreativeWork", "name": "Nitrogen transport from tallgrass prairie watersheds", "identifier": { "@type": "PropertyValue", "propertyID": "eid", "value": "2-s2.0-0030248004" } }, { "@type": "CreativeWork", "name": "Seasonal NDVI trajectories in response to disturbance: toward a spectral-temporal mixing model for tallgrass prairie", "identifier": { "@type": "PropertyValue", "propertyID": "eid", "value": "2-s2.0-0029708879" } }, { "@type": "CreativeWork", "name": "Spatio-temporal dynamics of soil moisture in tallgrass prairie using ERS-1 SAR image time series: first year results", "identifier": { "@type": "PropertyValue", "propertyID": "eid", "value": "2-s2.0-0029698916" } }, { "@type": "CreativeWork", "name": "Spatio-temporal land cover dynamics in the pantanal assessed using lacunarity analysis on an ERS-1 SAR image time series", "identifier": { "@type": "PropertyValue", "propertyID": "eid", "value": "2-s2.0-0029721016" } }, { "@type": "CreativeWork", "@id": "https://doi.org/10.1016/0304-3800(95)00209-x", "name": "The effect of density dependence on community structure", "identifier": [ { "@type": "PropertyValue", "propertyID": "doi", "value": "10.1016/0304-3800(95)00209-x" }, { "@type": "PropertyValue", "propertyID": "eid", "value": "2-s2.0-0030590759" } ] }, { "@type": "CreativeWork", "name": "Lacunarity as a texture measure for SAR imagery", "identifier": { "@type": "PropertyValue", "propertyID": "eid", "value": "2-s2.0-0028852151" } }, { "@type": "CreativeWork", "name": "Seasonality of reflectance in the southern Pantanal of Brazil: spatio-temporal landscape segmentation using correlation length and lacunarity of NDVI images", "identifier": { "@type": "PropertyValue", "propertyID": "eid", "value": "2-s2.0-0029218060" } }, { "@type": "CreativeWork", "@id": "https://doi.org/10.1016/0304-3800(94)00030-l", "name": "Simulation of responses of community structure to species interactions driven by phenotypic change", "identifier": [ { "@type": "PropertyValue", "propertyID": "doi", "value": "10.1016/0304-3800(94)00030-l" }, { "@type": "PropertyValue", "propertyID": "eid", "value": "2-s2.0-0028992794" } ] }, { "@type": "CreativeWork", "@id": "https://doi.org/10.1016/0304-3800(94)00074-r", "name": "Spatial model error analysis using autocorrelation indices", "identifier": [ { "@type": "PropertyValue", "propertyID": "doi", "value": "10.1016/0304-3800(94)00074-r" }, { "@type": "PropertyValue", "propertyID": "eid", "value": "2-s2.0-0028984524" } ] }, { "@type": "CreativeWork", "name": "Multi-scale texture in SAR imagery: Landscape dynamics of the Pantanal, Brazil", "identifier": { "@type": "PropertyValue", "propertyID": "eid", "value": "2-s2.0-0028756083" } }, { "@type": "CreativeWork", "@id": "https://doi.org/10.1016/0034-4257(93)90097-h", "name": "Detecting change in grasslands using measures of spatial dependence with landsat TM data", "identifier": [ { "@type": "PropertyValue", "propertyID": "doi", "value": "10.1016/0034-4257(93)90097-h" }, { "@type": "PropertyValue", "propertyID": "eid", "value": "2-s2.0-0027692953" } ] }, { "@type": "CreativeWork", "name": "Using landscape trajectories to assess the effects of radiometric rectification", "identifier": { "@type": "PropertyValue", "propertyID": "eid", "value": "2-s2.0-0027647453" } } ] }, "url": "http://scholar.google.com/citations?user=rli982AAAAAJ&hl=en", "identifier": { "@type": "PropertyValue", "propertyID": "Scopus Author ID", "value": "6603837254" } }
}