Item talk:Q139190
From geokb
{
"OpenAlex": {
"id": "https://openalex.org/A5010436195",
"orcid": "https://orcid.org/0000-0001-9181-1818",
"display_name": "Zhong Lu",
"display_name_alternatives": [
"Z. Lu",
"Lu Zhong",
"Zhong Yuan Lu",
"Zhong Lu",
"Ziru Lu",
"Z. Y. Lu"
],
"works_count": 403,
"cited_by_count": 10570,
"summary_stats": {
"2yr_mean_citedness": 5.394736842105263,
"h_index": 55,
"i10_index": 192
},
"ids": {
"openalex": "https://openalex.org/A5010436195",
"orcid": "https://orcid.org/0000-0001-9181-1818"
},
"affiliations": [
{
"institution": {
"id": "https://openalex.org/I178169726",
"ror": "https://ror.org/042tdr378",
"display_name": "Southern Methodist University",
"country_code": "US",
"type": "education",
"lineage": [
"https://openalex.org/I178169726"
]
},
"years": [
2024,
2023,
2022,
2021,
2020,
2019,
2018,
2017,
2016,
2015
]
},
{
"institution": {
"id": "https://openalex.org/I2801613365",
"ror": "https://ror.org/03ds72003",
"display_name": "Mitchell Institute",
"country_code": "US",
"type": "nonprofit",
"lineage": [
"https://openalex.org/I2801613365"
]
},
"years": [
2023
]
},
{
"institution": {
"id": "https://openalex.org/I91045830",
"ror": "https://ror.org/01f5ytq51",
"display_name": "Texas A&M University",
"country_code": "US",
"type": "education",
"lineage": [
"https://openalex.org/I91045830"
]
},
"years": [
2023
]
},
{
"institution": {
"id": "https://openalex.org/I150229711",
"ror": "https://ror.org/04qr3zq92",
"display_name": "University of Electronic Science and Technology of China",
"country_code": "CN",
"type": "education",
"lineage": [
"https://openalex.org/I150229711"
]
},
"years": [
2023
]
},
{
"institution": {
"id": "https://openalex.org/I9224756",
"ror": "https://ror.org/03awzbc87",
"display_name": "Northeastern University",
"country_code": "CN",
"type": "education",
"lineage": [
"https://openalex.org/I9224756"
]
},
"years": [
2019
]
},
{
"institution": {
"id": "https://openalex.org/I2801780914",
"ror": "https://ror.org/04wyk9691",
"display_name": "Cascades Volcano Observatory",
"country_code": "US",
"type": "facility",
"lineage": [
"https://openalex.org/I2801780914"
]
},
"years": [
2015,
2014,
2013,
2012,
2011,
2010,
2009,
2007
]
},
{
"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": [
2014,
2013,
2012,
2011,
2010,
2009,
2008,
2007,
2006,
2005
]
},
{
"institution": {
"id": "https://openalex.org/I4210125404",
"ror": "https://ror.org/02xtbq882",
"display_name": "Institute of Theoretical Physics",
"country_code": "CN",
"type": "facility",
"lineage": [
"https://openalex.org/I19820366",
"https://openalex.org/I4210125404"
]
},
"years": [
2014,
2009
]
},
{
"institution": {
"id": "https://openalex.org/I194450716",
"ror": "https://ror.org/00js3aw79",
"display_name": "Jilin University",
"country_code": "CN",
"type": "education",
"lineage": [
"https://openalex.org/I194450716"
]
},
"years": [
2014,
2009
]
},
{
"institution": {
"id": "https://openalex.org/I4210164898",
"ror": "https://ror.org/05anb7a53",
"display_name": "Beijing Chaoyang Emergency Medical Center",
"country_code": "CN",
"type": "healthcare",
"lineage": [
"https://openalex.org/I4210164898"
]
},
"years": [
2013
]
}
],
"last_known_institutions": [
{
"id": "https://openalex.org/I178169726",
"ror": "https://ror.org/042tdr378",
"display_name": "Southern Methodist University",
"country_code": "US",
"type": "education",
"lineage": [
"https://openalex.org/I178169726"
]
}
],
"topics": [
{
"id": "https://openalex.org/T10801",
"display_name": "Synthetic Aperture Radar Interferometry",
"count": 237,
"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/T10644",
"display_name": "Impacts of Climate Change on Glaciers and Water Availability",
"count": 129,
"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/T10535",
"display_name": "Landslide Hazards and Risk Assessment",
"count": 126,
"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/T10110",
"display_name": "Seismicity and Tectonic Plate Interactions",
"count": 109,
"subfield": {
"id": "https://openalex.org/subfields/1908",
"display_name": "Geophysics"
},
"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/T11609",
"display_name": "Applications of Ground-Penetrating Radar in Geoscience and Engineering",
"count": 52,
"subfield": {
"id": "https://openalex.org/subfields/2212",
"display_name": "Ocean 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/T11312",
"display_name": "Remote Sensing of Soil Moisture",
"count": 44,
"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/T11038",
"display_name": "Synthetic Aperture Radar (SAR) Technology and Applications",
"count": 38,
"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/T12424",
"display_name": "Study of Earthquake Precursor Phenomena",
"count": 37,
"subfield": {
"id": "https://openalex.org/subfields/1908",
"display_name": "Geophysics"
},
"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/T10001",
"display_name": "Tectonic and Geochronological Evolution of Orogens",
"count": 34,
"subfield": {
"id": "https://openalex.org/subfields/1908",
"display_name": "Geophysics"
},
"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/T10995",
"display_name": "Anaerobic Methane Oxidation and Gas Hydrates",
"count": 29,
"subfield": {
"id": "https://openalex.org/subfields/2304",
"display_name": "Environmental Chemistry"
},
"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": 21,
"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/T13018",
"display_name": "Machine Learning for Earthquake Early Warning Systems",
"count": 16,
"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/T11757",
"display_name": "High-Resolution Seismic Noise Tomography",
"count": 16,
"subfield": {
"id": "https://openalex.org/subfields/1908",
"display_name": "Geophysics"
},
"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/T10413",
"display_name": "Mantle Dynamics and Earth's Structure",
"count": 15,
"subfield": {
"id": "https://openalex.org/subfields/1908",
"display_name": "Geophysics"
},
"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/T10161",
"display_name": "Rock Mechanics and Engineering",
"count": 15,
"subfield": {
"id": "https://openalex.org/subfields/2211",
"display_name": "Mechanics of Materials"
},
"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/T13890",
"display_name": "Applications of Remote Sensing in Geoscience and Agriculture",
"count": 14,
"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/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/T11459",
"display_name": "Arctic Sea Ice Variability and Decline",
"count": 10,
"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": 10,
"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/T13177",
"display_name": "Geological Evolution of South China Sea",
"count": 9,
"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"
}
},
{
"id": "https://openalex.org/T10406",
"display_name": "Exploration and Study of Mars",
"count": 9,
"subfield": {
"id": "https://openalex.org/subfields/3103",
"display_name": "Astronomy and Astrophysics"
},
"field": {
"id": "https://openalex.org/fields/31",
"display_name": "Physics and Astronomy"
},
"domain": {
"id": "https://openalex.org/domains/3",
"display_name": "Physical Sciences"
}
},
{
"id": "https://openalex.org/T10017",
"display_name": "Climate Change and Paleoclimatology",
"count": 9,
"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/T12543",
"display_name": "Mapping Groundwater Potential Zones Using GIS Techniques",
"count": 8,
"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/T11061",
"display_name": "Dynamics of Ocean Surface Waves and Wind Interaction",
"count": 7,
"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/T10534",
"display_name": "Structural Health Monitoring Techniques",
"count": 7,
"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"
}
}
],
"topic_share": [
{
"id": "https://openalex.org/T10801",
"display_name": "Synthetic Aperture Radar Interferometry",
"value": 0.0034125,
"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/T10644",
"display_name": "Impacts of Climate Change on Glaciers and Water Availability",
"value": 0.0005058,
"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/T11038",
"display_name": "Synthetic Aperture Radar (SAR) Technology and Applications",
"value": 0.0004972,
"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/T10535",
"display_name": "Landslide Hazards and Risk Assessment",
"value": 0.0004474,
"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/T11312",
"display_name": "Remote Sensing of Soil Moisture",
"value": 0.0004291,
"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/T10110",
"display_name": "Seismicity and Tectonic Plate Interactions",
"value": 0.0002951,
"subfield": {
"id": "https://openalex.org/subfields/1908",
"display_name": "Geophysics"
},
"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/T11609",
"display_name": "Applications of Ground-Penetrating Radar in Geoscience and Engineering",
"value": 0.0002482,
"subfield": {
"id": "https://openalex.org/subfields/2212",
"display_name": "Ocean 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/T12543",
"display_name": "Mapping Groundwater Potential Zones Using GIS Techniques",
"value": 0.0001311,
"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/T12083",
"display_name": "Karst Hydrogeology and Geohazards",
"value": 0.0001291,
"subfield": {
"id": "https://openalex.org/subfields/1904",
"display_name": "Earth-Surface Processes"
},
"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/T11333",
"display_name": "Arctic Permafrost Dynamics and Climate Change",
"value": 0.0001245,
"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/T13018",
"display_name": "Machine Learning for Earthquake Early Warning Systems",
"value": 0.0001115,
"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/T10161",
"display_name": "Rock Mechanics and Engineering",
"value": 0.0001041,
"subfield": {
"id": "https://openalex.org/subfields/2211",
"display_name": "Mechanics of Materials"
},
"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/T12424",
"display_name": "Study of Earthquake Precursor Phenomena",
"value": 9.79e-05,
"subfield": {
"id": "https://openalex.org/subfields/1908",
"display_name": "Geophysics"
},
"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/T10001",
"display_name": "Tectonic and Geochronological Evolution of Orogens",
"value": 7.07e-05,
"subfield": {
"id": "https://openalex.org/subfields/1908",
"display_name": "Geophysics"
},
"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/T11459",
"display_name": "Arctic Sea Ice Variability and Decline",
"value": 6.91e-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/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/T11061",
"display_name": "Dynamics of Ocean Surface Waves and Wind Interaction",
"value": 5.69e-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/T12865",
"display_name": "Characteristics, Failure, and Remediation of Mine Tailings Dams",
"value": 5.11e-05,
"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/T10689",
"display_name": "Hyperspectral Image Analysis and Classification",
"value": 5.11e-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/T13890",
"display_name": "Applications of Remote Sensing in Geoscience and Agriculture",
"value": 4.89e-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/T10995",
"display_name": "Anaerobic Methane Oxidation and Gas Hydrates",
"value": 4.84e-05,
"subfield": {
"id": "https://openalex.org/subfields/2304",
"display_name": "Environmental Chemistry"
},
"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/T14413",
"display_name": "Knowledge Base Graph Embedding for Visual Question Answering",
"value": 4.54e-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/T10413",
"display_name": "Mantle Dynamics and Earth's Structure",
"value": 4.34e-05,
"subfield": {
"id": "https://openalex.org/subfields/1908",
"display_name": "Geophysics"
},
"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": 4.21e-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/T11125",
"display_name": "Modeling and Control of Petri Nets in Systems",
"value": 4.13e-05,
"subfield": {
"id": "https://openalex.org/subfields/1703",
"display_name": "Computational Theory and Mathematics"
},
"field": {
"id": "https://openalex.org/fields/17",
"display_name": "Computer 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": 99.5
},
{
"id": "https://openalex.org/C205649164",
"wikidata": "https://www.wikidata.org/wiki/Q1071",
"display_name": "Geography",
"level": 0,
"score": 93.5
},
{
"id": "https://openalex.org/C121332964",
"wikidata": "https://www.wikidata.org/wiki/Q413",
"display_name": "Physics",
"level": 0,
"score": 89.6
},
{
"id": "https://openalex.org/C41008148",
"wikidata": "https://www.wikidata.org/wiki/Q21198",
"display_name": "Computer science",
"level": 0,
"score": 86.8
},
{
"id": "https://openalex.org/C62649853",
"wikidata": "https://www.wikidata.org/wiki/Q199687",
"display_name": "Remote sensing",
"level": 1,
"score": 84.1
},
{
"id": "https://openalex.org/C1276947",
"wikidata": "https://www.wikidata.org/wiki/Q333",
"display_name": "Astronomy",
"level": 1,
"score": 78.4
},
{
"id": "https://openalex.org/C154945302",
"wikidata": "https://www.wikidata.org/wiki/Q11660",
"display_name": "Artificial intelligence",
"level": 1,
"score": 77.7
},
{
"id": "https://openalex.org/C31972630",
"wikidata": "https://www.wikidata.org/wiki/Q844240",
"display_name": "Computer vision",
"level": 1,
"score": 76.9
},
{
"id": "https://openalex.org/C62520636",
"wikidata": "https://www.wikidata.org/wiki/Q944",
"display_name": "Quantum mechanics",
"level": 1,
"score": 76.4
},
{
"id": "https://openalex.org/C120665830",
"wikidata": "https://www.wikidata.org/wiki/Q14620",
"display_name": "Optics",
"level": 1,
"score": 74.4
},
{
"id": "https://openalex.org/C87360688",
"wikidata": "https://www.wikidata.org/wiki/Q740686",
"display_name": "Synthetic aperture radar",
"level": 2,
"score": 73.7
},
{
"id": "https://openalex.org/C166689943",
"wikidata": "https://www.wikidata.org/wiki/Q850283",
"display_name": "Interferometry",
"level": 2,
"score": 72.5
},
{
"id": "https://openalex.org/C86803240",
"wikidata": "https://www.wikidata.org/wiki/Q420",
"display_name": "Biology",
"level": 0,
"score": 71.2
},
{
"id": "https://openalex.org/C127413603",
"wikidata": "https://www.wikidata.org/wiki/Q11023",
"display_name": "Engineering",
"level": 0,
"score": 70.0
},
{
"id": "https://openalex.org/C22286887",
"wikidata": "https://www.wikidata.org/wiki/Q1666056",
"display_name": "Interferometric synthetic aperture radar",
"level": 3,
"score": 69.5
},
{
"id": "https://openalex.org/C151730666",
"wikidata": "https://www.wikidata.org/wiki/Q7205",
"display_name": "Paleontology",
"level": 1,
"score": 57.3
},
{
"id": "https://openalex.org/C165205528",
"wikidata": "https://www.wikidata.org/wiki/Q83371",
"display_name": "Seismology",
"level": 1,
"score": 57.3
},
{
"id": "https://openalex.org/C13280743",
"wikidata": "https://www.wikidata.org/wiki/Q131089",
"display_name": "Geodesy",
"level": 1,
"score": 48.4
},
{
"id": "https://openalex.org/C153294291",
"wikidata": "https://www.wikidata.org/wiki/Q25261",
"display_name": "Meteorology",
"level": 1,
"score": 37.5
},
{
"id": "https://openalex.org/C111368507",
"wikidata": "https://www.wikidata.org/wiki/Q43518",
"display_name": "Oceanography",
"level": 1,
"score": 37.2
},
{
"id": "https://openalex.org/C114793014",
"wikidata": "https://www.wikidata.org/wiki/Q52109",
"display_name": "Geomorphology",
"level": 1,
"score": 37.0
},
{
"id": "https://openalex.org/C146978453",
"wikidata": "https://www.wikidata.org/wiki/Q3798668",
"display_name": "Aerospace engineering",
"level": 1,
"score": 36.0
},
{
"id": "https://openalex.org/C17409809",
"wikidata": "https://www.wikidata.org/wiki/Q161764",
"display_name": "Geochemistry",
"level": 1,
"score": 33.3
},
{
"id": "https://openalex.org/C76155785",
"wikidata": "https://www.wikidata.org/wiki/Q418",
"display_name": "Telecommunications",
"level": 1,
"score": 32.0
},
{
"id": "https://openalex.org/C120806208",
"wikidata": "https://www.wikidata.org/wiki/Q8072",
"display_name": "Volcano",
"level": 2,
"score": 29.8
}
],
"counts_by_year": [
{
"year": 2024,
"works_count": 15,
"cited_by_count": 890
},
{
"year": 2023,
"works_count": 24,
"cited_by_count": 1254
},
{
"year": 2022,
"works_count": 17,
"cited_by_count": 1321
},
{
"year": 2021,
"works_count": 21,
"cited_by_count": 1230
},
{
"year": 2020,
"works_count": 26,
"cited_by_count": 1029
},
{
"year": 2019,
"works_count": 30,
"cited_by_count": 873
},
{
"year": 2018,
"works_count": 24,
"cited_by_count": 857
},
{
"year": 2017,
"works_count": 24,
"cited_by_count": 635
},
{
"year": 2016,
"works_count": 12,
"cited_by_count": 657
},
{
"year": 2015,
"works_count": 21,
"cited_by_count": 575
},
{
"year": 2014,
"works_count": 23,
"cited_by_count": 603
},
{
"year": 2013,
"works_count": 14,
"cited_by_count": 414
},
{
"year": 2012,
"works_count": 14,
"cited_by_count": 299
}
],
"works_api_url": "https://api.openalex.org/works?filter=author.id:A5010436195",
"updated_date": "2024-08-22T22:31:48.595131",
"created_date": "2023-07-21",
"_id": "https://openalex.org/A5010436195"
},
"ORCID": {
"@context": "http://schema.org",
"@type": "Person",
"@id": "https://orcid.org/0000-0001-9181-1818",
"mainEntityOfPage": "https://orcid.org/0000-0001-9181-1818",
"givenName": "Zhong",
"familyName": "Lu",
"@reverse": {
"creator": [
{
"@type": "CreativeWork",
"@id": "https://doi.org/10.1016/j.jag.2024.104121",
"name": "Deformation mechanism-assisted deep learning architecture for predicting step-like displacement of reservoir landslide",
"identifier": {
"@type": "PropertyValue",
"propertyID": "doi",
"value": "10.1016/j.jag.2024.104121"
}
},
{
"@type": "CreativeWork",
"@id": "https://doi.org/10.1029/2024gl109435",
"name": "Investigation of Oil Well Blowouts Triggered by Wastewater Injection in the Permian Basin, USA",
"identifier": {
"@type": "PropertyValue",
"propertyID": "doi",
"value": "10.1029/2024gl109435"
}
},
{
"@type": "CreativeWork",
"@id": "https://doi.org/10.1029/2024gl108202",
"name": "Glacier Retreat in Eastern Himalaya Drives Catastrophic Glacier Hazard Chain",
"identifier": {
"@type": "PropertyValue",
"propertyID": "doi",
"value": "10.1029/2024gl108202"
}
},
{
"@type": "CreativeWork",
"@id": "https://doi.org/10.5194/egusphere-egu24-10467",
"name": "Improving ground deformation prediction in satellite InSAR using ICA-assisted RNN model ",
"identifier": {
"@type": "PropertyValue",
"propertyID": "doi",
"value": "10.5194/egusphere-egu24-10467"
}
},
{
"@type": "CreativeWork",
"@id": "https://doi.org/10.1109/jstars.2023.3339295",
"name": "Landslide Inventory Mapping Based on Independent Component Analysis and UNet3+: A Case of Jiuzhaigou, China",
"identifier": {
"@type": "PropertyValue",
"propertyID": "doi",
"value": "10.1109/jstars.2023.3339295"
}
},
{
"@type": "CreativeWork",
"@id": "https://doi.org/10.1109/tgrs.2023.3347478",
"name": "Toward Retrieving Discontinuous Deformation of Bridges by MTInSAR With Adaptive Segmentation",
"identifier": {
"@type": "PropertyValue",
"propertyID": "doi",
"value": "10.1109/tgrs.2023.3347478"
}
},
{
"@type": "CreativeWork",
"@id": "https://doi.org/10.1029/2023gl106323",
"name": "Along\u2010Arc Volcanism in the Western and Central Aleutian From 2015 to 2021 Revealed by Cloud\u2010Based InSAR Processing",
"identifier": {
"@type": "PropertyValue",
"propertyID": "doi",
"value": "10.1029/2023gl106323"
}
},
{
"@type": "CreativeWork",
"@id": "https://doi.org/10.3390/rs15163995",
"name": "Multi-Scale Response Analysis and Displacement Prediction of Landslides Using Deep Learning with JTFA: A Case Study in the Three Gorges Reservoir, China",
"identifier": {
"@type": "PropertyValue",
"propertyID": "doi",
"value": "10.3390/rs15163995"
}
},
{
"@type": "CreativeWork",
"@id": "https://doi.org/10.1016/j.jag.2023.103424",
"name": "Hydrocarbon production induced land deformation over Permian Basin; analysis using persistent scatterer interferometry and numerical modeling",
"identifier": {
"@type": "PropertyValue",
"propertyID": "doi",
"value": "10.1016/j.jag.2023.103424"
}
},
{
"@type": "CreativeWork",
"@id": "https://doi.org/10.3390/rs15143665",
"name": "Revealing the Land Subsidence Deceleration in Beijing (China) by Gaofen-3 Time Series Interferometry",
"identifier": {
"@type": "PropertyValue",
"propertyID": "doi",
"value": "10.3390/rs15143665"
}
},
{
"@type": "CreativeWork",
"@id": "https://doi.org/10.1029/2022jb026232",
"name": "Enhanced Kinematic Inversion of 3\u2010D Displacements, Geometry, and Hydraulic Properties of a North\u2010South Slow\u2010Moving Landslide in Three Gorges Reservoir",
"identifier": {
"@type": "PropertyValue",
"propertyID": "doi",
"value": "10.1029/2022jb026232"
}
},
{
"@type": "CreativeWork",
"@id": "https://doi.org/10.1029/2023gl102991",
"name": "Bayesian Monte Carlo Inversion of InSAR Time Series Deformation Induced by Wastewater Injection: A Case Study in West Texas",
"identifier": {
"@type": "PropertyValue",
"propertyID": "doi",
"value": "10.1029/2023gl102991"
}
},
{
"@type": "CreativeWork",
"@id": "https://doi.org/10.22541/essoar.168500286.66994068/v1",
"name": "Along-arc volcanism in the western and central Aleutian from 2015 to 2021 revealed by cloud-based InSAR processing",
"identifier": {
"@type": "PropertyValue",
"propertyID": "doi",
"value": "10.22541/essoar.168500286.66994068/v1"
}
},
{
"@type": "CreativeWork",
"@id": "https://doi.org/10.5194/egusphere-egu23-9808",
"name": "An ICA-assisted LSTM model for spatiotemporal characterization and prediction of ground motion related to geohazards",
"identifier": {
"@type": "PropertyValue",
"propertyID": "doi",
"value": "10.5194/egusphere-egu23-9808"
}
},
{
"@type": "CreativeWork",
"@id": "https://doi.org/10.5194/egusphere-egu23-2152",
"name": "Human-induced geohazards in Permian Basin, USA revealed by InSAR and numerical modeling",
"identifier": {
"@type": "PropertyValue",
"propertyID": "doi",
"value": "10.5194/egusphere-egu23-2152"
}
},
{
"@type": "CreativeWork",
"@id": "https://doi.org/10.1109/tgrs.2023.3296958",
"name": "A Phase-Based InSAR Tropospheric Correction Method for Interseismic Deformation Based on Short-Period Interferograms",
"identifier": {
"@type": "PropertyValue",
"propertyID": "doi",
"value": "10.1109/tgrs.2023.3296958"
}
},
{
"@type": "CreativeWork",
"@id": "https://doi.org/10.1109/lgrs.2023.3309866",
"name": "A Sparse Parameter Mode for MT-InSAR Deformation Retrieval and Uncertainty Assessment",
"identifier": {
"@type": "PropertyValue",
"propertyID": "doi",
"value": "10.1109/lgrs.2023.3309866"
}
},
{
"@type": "CreativeWork",
"@id": "https://doi.org/10.1109/lgrs.2023.3330728",
"name": "Enhancing InSAR Coherence Estimation Through Local Phase Surface Modeling",
"identifier": {
"@type": "PropertyValue",
"propertyID": "doi",
"value": "10.1109/lgrs.2023.3330728"
}
},
{
"@type": "CreativeWork",
"@id": "https://doi.org/10.3390/rs14225810",
"name": "Characterizing Spatiotemporal Patterns of Land Subsidence after the South-to-North Water Diversion Project Based on Sentinel-1 InSAR Observations in the Eastern Beijing Plain",
"identifier": {
"@type": "PropertyValue",
"propertyID": "doi",
"value": "10.3390/rs14225810"
}
},
{
"@type": "CreativeWork",
"@id": "https://doi.org/10.1785/0220210341",
"name": "Detecting and Locating Aftershocks for the 2020 Mw\u00a06.5 Stanley, Idaho, Earthquake Using Convolutional Neural Networks",
"identifier": {
"@type": "PropertyValue",
"propertyID": "doi",
"value": "10.1785/0220210341"
}
},
{
"@type": "CreativeWork",
"@id": "https://doi.org/10.3390/rs14174307",
"name": "Advances in InSAR Imaging and Data Processing",
"identifier": {
"@type": "PropertyValue",
"propertyID": "doi",
"value": "10.3390/rs14174307"
}
},
{
"@type": "CreativeWork",
"@id": "https://doi.org/10.3390/rs14133182",
"name": "Mapping the Recent Vertical Crustal Deformation of the Weihe Basin (China) Using Sentinel-1 and ALOS-2 ScanSAR Imagery",
"identifier": {
"@type": "PropertyValue",
"propertyID": "doi",
"value": "10.3390/rs14133182"
}
},
{
"@type": "CreativeWork",
"@id": "https://doi.org/10.1007/s10346-021-01831-1",
"name": "Analyzing the triggering factors of glacial lake outburst floods with SAR and optical images: a case study in Jinweng Co, Tibet, China",
"identifier": {
"@type": "PropertyValue",
"propertyID": "doi",
"value": "10.1007/s10346-021-01831-1"
}
},
{
"@type": "CreativeWork",
"@id": "https://doi.org/10.5194/egusphere-egu22-8647",
"name": "Landslides on the radar: detection, monitoring, and runout hazard forecasting",
"identifier": {
"@type": "PropertyValue",
"propertyID": "doi",
"value": "10.5194/egusphere-egu22-8647"
}
},
{
"@type": "CreativeWork",
"@id": "https://doi.org/10.5194/egusphere-egu22-8397",
"name": "P-band SAR for deformation surveying: advantages and challenges",
"identifier": {
"@type": "PropertyValue",
"propertyID": "doi",
"value": "10.5194/egusphere-egu22-8397"
}
},
{
"@type": "CreativeWork",
"@id": "https://doi.org/10.5194/egusphere-egu22-4147",
"name": "Use of satellite remote sensing and independent component analysis to assess land subsidence and aquifer system properties over the Willcox Basin, USA",
"identifier": {
"@type": "PropertyValue",
"propertyID": "doi",
"value": "10.5194/egusphere-egu22-4147"
}
},
{
"@type": "CreativeWork",
"@id": "https://doi.org/10.3390/rs14041016",
"name": "A Graph Convolutional Incorporating GRU Network for Landslide Displacement Forecasting Based on Spatiotemporal Analysis of GNSS Observations",
"identifier": {
"@type": "PropertyValue",
"propertyID": "doi",
"value": "10.3390/rs14041016"
}
},
{
"@type": "CreativeWork",
"@id": "https://doi.org/10.1029/2021jf006355",
"name": "Kinematics of Irrigation\u2010Induced Landslides in a Washington Desert: Impacts of Basal Geometry",
"identifier": {
"@type": "PropertyValue",
"propertyID": "doi",
"value": "10.1029/2021jf006355"
}
},
{
"@type": "CreativeWork",
"@id": "https://doi.org/10.3390/rs13224575",
"name": "P-Band InSAR for Geohazard Detection over Forested Terrains: Preliminary Results",
"identifier": {
"@type": "PropertyValue",
"propertyID": "doi",
"value": "10.3390/rs13224575"
}
},
{
"@type": "CreativeWork",
"@id": "https://doi.org/10.1029/2021jb022420",
"name": "Inflation of Okmok Volcano During 2008\u20132020 From PS Analyses and Source Inversion With Finite Element Models",
"identifier": {
"@type": "PropertyValue",
"propertyID": "doi",
"value": "10.1029/2021jb022420"
}
},
{
"@type": "CreativeWork",
"@id": "https://doi.org/10.1029/2021jb021684",
"name": "Quantifying Eruptive and Background Seismicity, Deformation, Degassing, and Thermal Emissions at Volcanoes in the United States During 1978\u20132020",
"identifier": {
"@type": "PropertyValue",
"propertyID": "doi",
"value": "10.1029/2021jb021684"
}
},
{
"@type": "CreativeWork",
"@id": "https://doi.org/10.3390/rs13112144",
"name": "Analysis of Groundwater Depletion/Inflation and Freeze\u2013Thaw Cycles in the Northern Urumqi Region with the SBAS Technique and an Adjusted Network of Interferograms",
"identifier": {
"@type": "PropertyValue",
"propertyID": "doi",
"value": "10.3390/rs13112144"
}
},
{
"@type": "CreativeWork",
"@id": "https://doi.org/10.1029/2021gl092510",
"name": "Multifault Opposing\u2010Dip Strike\u2010Slip and Normal\u2010Fault Rupture During the 2020 Mw 6.5 Stanley, Idaho Earthquake",
"identifier": {
"@type": "PropertyValue",
"propertyID": "doi",
"value": "10.1029/2021gl092510"
}
},
{
"@type": "CreativeWork",
"@id": "https://doi.org/10.3390/geohazards2020002",
"name": "A Framework for Studying Hydrology-Driven Landslide Hazards in Northwestern US Using Satellite InSAR, Precipitation and Soil Moisture Observations: Early Results and Future Directions",
"identifier": {
"@type": "PropertyValue",
"propertyID": "doi",
"value": "10.3390/geohazards2020002"
}
},
{
"@type": "CreativeWork",
"@id": "https://doi.org/10.5194/egusphere-egu21-3692",
"name": "Dynamics and physics-based rainfall thresholds for a deep-seated landslide",
"identifier": {
"@type": "PropertyValue",
"propertyID": "doi",
"value": "10.5194/egusphere-egu21-3692"
}
},
{
"@type": "CreativeWork",
"@id": "https://doi.org/10.1029/2020jb020158",
"name": "Modeling Magma System Evolution During 2006\u20132007 Volcanic Unrest of Atka Volcanic Center, Alaska",
"identifier": {
"@type": "PropertyValue",
"propertyID": "doi",
"value": "10.1029/2020jb020158"
}
},
{
"@type": "CreativeWork",
"@id": "https://doi.org/10.1109/tgrs.2020.3000991",
"name": "Suppression of Coherence Matrix Bias for Phase Linking and Ambiguity Detection in MTInSAR",
"identifier": {
"@type": "PropertyValue",
"propertyID": "doi",
"value": "10.1109/tgrs.2020.3000991"
}
},
{
"@type": "CreativeWork",
"@id": "https://doi.org/10.1080/19475705.2021.1891145",
"name": "Modelling and predicting landslide displacements and uncertainties by multiple machine-learning algorithms: application to Baishuihe landslide in Three Gorges Reservoir, China",
"identifier": {
"@type": "PropertyValue",
"propertyID": "doi",
"value": "10.1080/19475705.2021.1891145"
}
},
{
"@type": "CreativeWork",
"@id": "https://doi.org/10.3390/rs12223788",
"name": "Ground Deformation of Wuhan, China, Revealed by Multi-Temporal InSAR Analysis",
"identifier": {
"@type": "PropertyValue",
"propertyID": "doi",
"value": "10.3390/rs12223788"
}
},
{
"@type": "CreativeWork",
"@id": "https://doi.org/10.3390/rs12203466",
"name": "Three-Dimensional Time Series Movement of the Cuolangma Glaciers, Southern Tibet with Sentinel-1 Imagery",
"identifier": {
"@type": "PropertyValue",
"propertyID": "doi",
"value": "10.3390/rs12203466"
}
},
{
"@type": "CreativeWork",
"@id": "https://doi.org/10.1109/tgrs.2020.2982062",
"name": "Influence of the Statistical Properties of Phase and Intensity on Closure Phase",
"identifier": {
"@type": "PropertyValue",
"propertyID": "doi",
"value": "10.1109/tgrs.2020.2982062"
}
},
{
"@type": "CreativeWork",
"@id": "https://doi.org/10.1029/2020jf005640",
"name": "Twelve\u2010Year Dynamics and Rainfall Thresholds for Alternating Creep and Rapid Movement of the Hooskanaden Landslide From Integrating InSAR, Pixel Offset Tracking, and Borehole and Hydrological Measurements",
"identifier": {
"@type": "PropertyValue",
"propertyID": "doi",
"value": "10.1029/2020jf005640"
}
},
{
"@type": "CreativeWork",
"@id": "https://doi.org/10.3390/rs12172768",
"name": "Co-Seismic and Post-Seismic Temporal and Spatial Gravity Changes of the 2010 Mw 8.8 Maule Chile Earthquake Observed by GRACE and GRACE Follow-on",
"identifier": {
"@type": "PropertyValue",
"propertyID": "doi",
"value": "10.3390/rs12172768"
}
},
{
"@type": "CreativeWork",
"@id": "https://doi.org/10.3390/rs12162567",
"name": "Remote Sensing of Volcanic Processes and Risk",
"identifier": {
"@type": "PropertyValue",
"propertyID": "doi",
"value": "10.3390/rs12162567"
}
},
{
"@type": "CreativeWork",
"@id": "https://doi.org/10.3390/s20133801",
"name": "InSAR Signal and Data Processing",
"identifier": {
"@type": "PropertyValue",
"propertyID": "doi",
"value": "10.3390/s20133801"
}
},
{
"@type": "CreativeWork",
"@id": "https://doi.org/10.1109/tgrs.2020.2970841",
"name": "Modeling InSAR Phase and SAR Intensity Changes Induced by Soil Moisture",
"identifier": {
"@type": "PropertyValue",
"propertyID": "doi",
"value": "10.1109/tgrs.2020.2970841"
}
},
{
"@type": "CreativeWork",
"@id": "https://doi.org/10.1109/tgrs.2019.2962001",
"name": "A Closed-Form Robust Cluster-Analysis-Based Multibaseline InSAR Phase Unwrapping and Filtering Algorithm With Optimal Baseline Combination Analysis",
"identifier": {
"@type": "PropertyValue",
"propertyID": "doi",
"value": "10.1109/tgrs.2019.2962001"
}
},
{
"@type": "CreativeWork",
"@id": "https://doi.org/10.3390/rs12091511",
"name": "Can InSAR Coherence and Closure Phase Be Used to Estimate Soil Moisture Changes?",
"identifier": {
"@type": "PropertyValue",
"propertyID": "doi",
"value": "10.3390/rs12091511"
}
},
{
"@type": "CreativeWork",
"@id": "https://doi.org/10.3390/rs12091370",
"name": "Remote Sensing Applications in Monitoring of Protected Areas",
"identifier": {
"@type": "PropertyValue",
"propertyID": "doi",
"value": "10.3390/rs12091370"
}
},
{
"@type": "CreativeWork",
"@id": "https://doi.org/10.3390/s20051508",
"name": "A Novel Change Detection Method Based on Statistical Distribution Characteristics Using Multi-Temporal PolSAR Data",
"identifier": {
"@type": "PropertyValue",
"propertyID": "doi",
"value": "10.3390/s20051508"
}
},
{
"@type": "CreativeWork",
"@id": "https://doi.org/10.1029/2019gl086142",
"name": "Deformation of the Baige Landslide, Tibet, China, Revealed Through the Integration of Cross\u2010Platform ALOS/PALSAR\u20101 and ALOS/PALSAR\u20102 SAR Observations",
"identifier": {
"@type": "PropertyValue",
"propertyID": "doi",
"value": "10.1029/2019gl086142"
}
},
{
"@type": "CreativeWork",
"@id": "https://doi.org/10.1029/2019jb017801",
"name": "Modeling the Posteruptive Deformation at Okmok Based on the GPS and InSAR Time Series: Changes in the Shallow Magma Storage System",
"identifier": {
"@type": "PropertyValue",
"propertyID": "doi",
"value": "10.1029/2019jb017801"
}
},
{
"@type": "CreativeWork",
"@id": "https://doi.org/10.3390/rs12010099",
"name": "The 2014 Mw 6.1 Ludian Earthquake: The Application of RADARSAT-2 SAR Interferometry and GPS for this Conjugated Ruptured Event",
"identifier": {
"@type": "PropertyValue",
"propertyID": "doi",
"value": "10.3390/rs12010099"
}
},
{
"@type": "CreativeWork",
"@id": "https://doi.org/10.1109/tgrs.2019.2930802",
"name": "Nonparametric Estimation of DEM Error in Multitemporal InSAR",
"identifier": {
"@type": "PropertyValue",
"propertyID": "doi",
"value": "10.1109/tgrs.2019.2930802"
}
},
{
"@type": "CreativeWork",
"@id": "https://doi.org/10.3390/rs11232726",
"name": "Characterization of the Kinematics of Three Bears Landslide in Northern California Using L-band InSAR Observations",
"identifier": {
"@type": "PropertyValue",
"propertyID": "doi",
"value": "10.3390/rs11232726"
}
},
{
"@type": "CreativeWork",
"@id": "https://doi.org/10.1080/2150704x.2019.1650981",
"name": "Semi-automatic selection of optimum image pairs based on the interferometric coherence for time series SAR interferometry",
"identifier": {
"@type": "PropertyValue",
"propertyID": "doi",
"value": "10.1080/2150704x.2019.1650981"
}
},
{
"@type": "CreativeWork",
"@id": "https://doi.org/10.1109/tgrs.2019.2925115",
"name": "Minimizing Height Effects in MTInSAR for Deformation Detection Over Built Areas",
"identifier": {
"@type": "PropertyValue",
"propertyID": "doi",
"value": "10.1109/tgrs.2019.2925115"
}
},
{
"@type": "CreativeWork",
"@id": "https://doi.org/10.3390/rs11202347",
"name": "Characterizing Seasonally Rainfall-Driven Movement of a Translational Landslide using SAR Imagery and SMAP Soil Moisture",
"identifier": {
"@type": "PropertyValue",
"propertyID": "doi",
"value": "10.3390/rs11202347"
}
},
{
"@type": "CreativeWork",
"@id": "https://doi.org/10.1038/s41598-019-51138-4",
"name": "Wastewater leakage in West Texas revealed by satellite radar imagery and numerical modeling",
"identifier": {
"@type": "PropertyValue",
"propertyID": "doi",
"value": "10.1038/s41598-019-51138-4"
}
},
{
"@type": "CreativeWork",
"@id": "https://doi.org/10.1029/2019gl083395",
"name": "Hindcasting Magma Reservoir Stability Preceding the 2008 Eruption of Okmok, Alaska",
"identifier": {
"@type": "PropertyValue",
"propertyID": "doi",
"value": "10.1029/2019gl083395"
}
},
{
"@type": "CreativeWork",
"@id": "https://doi.org/10.3390/rs11161846",
"name": "Diagnosis of Xinmo (China) Landslide Based on Interferometric Synthetic Aperture Radar Observation and Modeling",
"identifier": {
"@type": "PropertyValue",
"propertyID": "doi",
"value": "10.3390/rs11161846"
}
},
{
"@type": "CreativeWork",
"@id": "https://doi.org/10.1029/2019jb017560",
"name": "Mobility, Thickness, and Hydraulic Diffusivity of the Slow\u2010Moving Monroe Landslide in California Revealed by L\u2010Band Satellite Radar Interferometry",
"identifier": {
"@type": "PropertyValue",
"propertyID": "doi",
"value": "10.1029/2019jb017560"
}
},
{
"@type": "CreativeWork",
"@id": "https://doi.org/10.1029/2018jb016271",
"name": "Resolving Teleseismic Earthquake Catalog and InSAR Data Discrepancies in Absolute Space to Explore Rupture Complexity Along the Ecuadorian Megathrust Fault",
"identifier": {
"@type": "PropertyValue",
"propertyID": "doi",
"value": "10.1029/2018jb016271"
}
},
{
"@type": "CreativeWork",
"@id": "https://doi.org/10.3390/rs11121498",
"name": "Identify and Monitor Growth Faulting Using InSAR over Northern Greater Houston, Texas, USA",
"identifier": {
"@type": "PropertyValue",
"propertyID": "doi",
"value": "10.3390/rs11121498"
}
},
{
"@type": "CreativeWork",
"@id": "https://doi.org/10.3390/rs11060664",
"name": "Research on Spatiotemporal Land Deformation (2012\u20132018) over Xi\u2019an, China, with Multi-Sensor SAR Datasets",
"identifier": {
"@type": "PropertyValue",
"propertyID": "doi",
"value": "10.3390/rs11060664"
}
},
{
"@type": "CreativeWork",
"@id": "https://doi.org/10.1016/j.rse.2018.12.028",
"name": "Evolution of sinkholes over Wink, Texas, observed by high-resolution optical and SAR imagery",
"identifier": {
"@type": "PropertyValue",
"propertyID": "doi",
"value": "10.1016/j.rse.2018.12.028"
}
},
{
"@type": "CreativeWork",
"@id": "https://doi.org/10.3390/rs11040462",
"name": "Source Parameter Estimation of the 2009 Ms6.0 Yao\u2019an Earthquake, Southern China, Using InSAR Observations",
"identifier": {
"@type": "PropertyValue",
"propertyID": "doi",
"value": "10.3390/rs11040462"
}
},
{
"@type": "CreativeWork",
"@id": "https://doi.org/10.1080/19475705.2018.1529711",
"name": "Ground deformation and fissure activity in Datong basin, China 2007\u20132010 revealed by multi-track InSAR",
"identifier": {
"@type": "PropertyValue",
"propertyID": "doi",
"value": "10.1080/19475705.2018.1529711"
}
},
{
"@type": "CreativeWork",
"@id": "https://doi.org/10.1080/19475705.2019.1566786",
"name": "Subsidence of sinkholes in Wink, Texas from 2007 to 2011 detected by time-series InSAR analysis",
"identifier": {
"@type": "PropertyValue",
"propertyID": "doi",
"value": "10.1080/19475705.2019.1566786"
}
},
{
"@type": "CreativeWork",
"@id": "https://doi.org/10.1109/tgrs.2018.2853706",
"name": "Toward Mitigating Stratified Tropospheric Delays in Multitemporal InSAR: A Quadtree Aided Joint Model",
"identifier": {
"@type": "PropertyValue",
"propertyID": "doi",
"value": "10.1109/tgrs.2018.2853706"
}
},
{
"@type": "CreativeWork",
"@id": "https://doi.org/10.1016/j.jog.2018.06.003",
"name": "Crustal deformation and strain fields of the Weihe Basin and surrounding area of central China based on GPS observations and kinematic models",
"identifier": {
"@type": "PropertyValue",
"propertyID": "doi",
"value": "10.1016/j.jog.2018.06.003"
}
},
{
"@type": "CreativeWork",
"@id": "https://doi.org/10.1016/j.jseaes.2018.05.021",
"name": "Present-day crustal deformation characteristics of the southeastern Tibetan Plateau and surrounding areas by using GPS analysis",
"identifier": {
"@type": "PropertyValue",
"propertyID": "doi",
"value": "10.1016/j.jseaes.2018.05.021"
}
},
{
"@type": "CreativeWork",
"@id": "https://doi.org/10.3390/rs10070993",
"name": "Landslide Identification and Monitoring along the Jinsha River Catchment (Wudongde Reservoir Area), China, Using the InSAR Method",
"identifier": {
"@type": "PropertyValue",
"propertyID": "doi",
"value": "10.3390/rs10070993"
}
},
{
"@type": "CreativeWork",
"@id": "https://doi.org/10.3390/geohazards1010001",
"name": "GeoHazards: A New Interdisciplinary Journal Devoted to the Study of Geomorphological Hazards",
"identifier": {
"@type": "PropertyValue",
"propertyID": "doi",
"value": "10.3390/geohazards1010001"
}
},
{
"@type": "CreativeWork",
"@id": "https://doi.org/10.1029/2017jf004497",
"name": "Characterization of Hydrogeological Properties in Salt Lake Valley, Utah, using InSAR",
"identifier": {
"@type": "PropertyValue",
"propertyID": "doi",
"value": "10.1029/2017jf004497"
}
},
{
"@type": "CreativeWork",
"@id": "https://doi.org/10.5194/isprs-archives-xlii-3-2375-2018",
"name": "APPLICABILITY ASSESSMENT OF UAVSAR DATA IN WETLAND MONITORING: A CASE STUDY OF LOUISIANA WETLAND",
"identifier": {
"@type": "PropertyValue",
"propertyID": "doi",
"value": "10.5194/isprs-archives-xlii-3-2375-2018"
}
},
{
"@type": "CreativeWork",
"@id": "https://doi.org/10.1109/tgrs.2017.2771386",
"name": "A New InSAR Persistent Scatterer Selection Technique Using Top Eigenvalue of Coherence Matrix",
"identifier": {
"@type": "PropertyValue",
"propertyID": "doi",
"value": "10.1109/tgrs.2017.2771386"
}
},
{
"@type": "CreativeWork",
"@id": "https://doi.org/10.1038/s41598-018-23143-6",
"name": "Association between localized geohazards in West Texas and human activities, recognized by Sentinel-1A/B satellite radar imagery",
"identifier": {
"@type": "PropertyValue",
"propertyID": "doi",
"value": "10.1038/s41598-018-23143-6"
}
},
{
"@type": "CreativeWork",
"@id": "https://doi.org/10.3390/rs10030405",
"name": "Modeling Wildfire-Induced Permafrost Deformation in an Alaskan Boreal Forest Using InSAR Observations",
"identifier": {
"@type": "PropertyValue",
"propertyID": "doi",
"value": "10.3390/rs10030405"
}
},
{
"@type": "CreativeWork",
"@id": "https://doi.org/10.1002/2017gl076623",
"name": "Combining InSAR and GPS to Determine Transient Movement and Thickness of a Seasonally Active Low\u2010Gradient Translational Landslide",
"identifier": {
"@type": "PropertyValue",
"propertyID": "doi",
"value": "10.1002/2017gl076623"
}
},
{
"@type": "CreativeWork",
"@id": "https://doi.org/10.3390/rs10020279",
"name": "Remote Sensing of Landslides\u2014A Review",
"identifier": {
"@type": "PropertyValue",
"propertyID": "doi",
"value": "10.3390/rs10020279"
}
},
{
"@type": "CreativeWork",
"@id": "https://doi.org/10.1016/j.jvolgeores.2018.01.011",
"name": "Deformation patterns, magma supply, and magma storage at Karymsky Volcanic Center, Kamchatka, Russia, 2000\u20132010, revealed by InSAR",
"identifier": {
"@type": "PropertyValue",
"propertyID": "doi",
"value": "10.1016/j.jvolgeores.2018.01.011"
}
},
{
"@type": "CreativeWork",
"@id": "https://doi.org/10.3390/rs10010150",
"name": "L-Band Temporal Coherence Assessment and Modeling Using Amplitude and Snow Depth over Interior Alaska",
"identifier": {
"@type": "PropertyValue",
"propertyID": "doi",
"value": "10.3390/rs10010150"
}
},
{
"@type": "CreativeWork",
"@id": "https://doi.org/10.1155/2018/8217565",
"name": "Mapping Pyroclastic Flow Inundation Using Radar and Optical Satellite Images and Lahar Modeling",
"identifier": {
"@type": "PropertyValue",
"propertyID": "doi",
"value": "10.1155/2018/8217565"
}
},
{
"@type": "CreativeWork",
"@id": "https://doi.org/10.1080/19475705.2017.1310764",
"name": "Measurement of small co-seismic deformation field from multi-temporal SAR interferometry: application to the 19 September 2004 Huntoon Valley earthquake",
"identifier": {
"@type": "PropertyValue",
"propertyID": "doi",
"value": "10.1080/19475705.2017.1310764"
}
},
{
"@type": "CreativeWork",
"@id": "https://doi.org/10.3390/app7121297",
"name": "An Unsupervised Method of Change Detection in Multi-Temporal PolSAR Data Using a Test Statistic and an Improved K&I Algorithm",
"identifier": {
"@type": "PropertyValue",
"propertyID": "doi",
"value": "10.3390/app7121297"
}
},
{
"@type": "CreativeWork",
"@id": "https://doi.org/10.1016/j.rse.2017.05.023",
"name": "Consolidation settlement of Salt Lake County tailings impoundment revealed by time-series InSAR observations from multiple radar satellites",
"identifier": {
"@type": "PropertyValue",
"propertyID": "doi",
"value": "10.1016/j.rse.2017.05.023"
}
},
{
"@type": "CreativeWork",
"@id": "https://doi.org/10.3390/rs9101046",
"name": "Application of InSAR Techniques to an Analysis of the Guanling Landslide",
"identifier": {
"@type": "PropertyValue",
"propertyID": "doi",
"value": "10.3390/rs9101046"
}
},
{
"@type": "CreativeWork",
"@id": "https://doi.org/10.3390/rs9080846",
"name": "A Novel Method of Change Detection in Bi-Temporal PolSAR Data Using a Joint-Classification Classifier Based on a Similarity Measure",
"identifier": {
"@type": "PropertyValue",
"propertyID": "doi",
"value": "10.3390/rs9080846"
}
},
{
"@type": "CreativeWork",
"@id": "https://doi.org/10.3390/rs9010084",
"name": "Characterization of Active Layer Thickening Rate over the Northern Qinghai-Tibetan Plateau Permafrost Region Using ALOS Interferometric Synthetic Aperture Radar Data, 2007\u20132009",
"identifier": {
"@type": "PropertyValue",
"propertyID": "doi",
"value": "10.3390/rs9010084"
}
},
{
"@type": "CreativeWork",
"@id": "https://doi.org/10.1016/j.rse.2016.10.006",
"name": "Detecting seasonal landslide movement within the Cascade landslide complex (Washington) using time-series SAR imagery",
"identifier": {
"@type": "PropertyValue",
"propertyID": "doi",
"value": "10.1016/j.rse.2016.10.006"
}
},
{
"@type": "CreativeWork",
"@id": "https://doi.org/10.3390/rs8040313",
"name": "Ongoing Deformation of Sinkholes in Wink, Texas, Observed by Time-Series Sentinel-1A SAR Interferometry (Preliminary Results)",
"identifier": {
"@type": "PropertyValue",
"propertyID": "doi",
"value": "10.3390/rs8040313"
}
},
{
"@type": "CreativeWork",
"@id": "https://doi.org/10.3390/rs8010073",
"name": "Post-Eruption Deformation Processes Measured Using ALOS-1 and UAVSAR InSAR at Pacaya Volcano, Guatemala",
"identifier": {
"@type": "PropertyValue",
"propertyID": "doi",
"value": "10.3390/rs8010073"
}
},
{
"@type": "CreativeWork",
"@id": "https://doi.org/10.3390/rs71215839",
"name": "Post-Eruptive Inflation of Okmok Volcano, Alaska, from InSAR, 2008\u20132014",
"identifier": {
"@type": "PropertyValue",
"propertyID": "doi",
"value": "10.3390/rs71215839"
}
},
{
"@type": "CreativeWork",
"@id": "https://doi.org/10.1016/j.rse.2015.08.027",
"name": "Mapping ground deformation over Houston\u2013Galveston, Texas using multi-temporal InSAR",
"identifier": {
"@type": "PropertyValue",
"propertyID": "doi",
"value": "10.1016/j.rse.2015.08.027"
}
},
{
"@type": "CreativeWork",
"@id": "https://doi.org/10.3133/pp176918",
"name": "Surface deformation of Augustine Volcano, 1992-2005, from multiple-interferogram processing using a refined Small Baseline Subset (SBAS) Interferometric Synthetic Aperture Radar (InSAR) approach: Chapter 18 in The 2006 eruption of Augustine Volcano, Alaska",
"identifier": {
"@type": "PropertyValue",
"propertyID": "doi",
"value": "10.3133/pp176918"
}
},
{
"@type": "CreativeWork",
"@id": "https://doi.org/10.3133/pp175018",
"name": "Radar interferometry observations of surface displacements during pre- and coeruptive periods at Mount St. Helens, Washington, 1992-2005",
"identifier": {
"@type": "PropertyValue",
"propertyID": "doi",
"value": "10.3133/pp175018"
}
},
{
"@type": "CreativeWork",
"@id": "https://doi.org/10.3133/cir13063f",
"name": "Hurricane Katrina flooding and oil slicks mapped with satellite imagery",
"identifier": {
"@type": "PropertyValue",
"propertyID": "doi",
"value": "10.3133/cir13063f"
}
}
]
},
"url": "https://smu.edu/dedman/lu",
"identifier": {
"@type": "PropertyValue",
"propertyID": "Loop profile",
"value": "131213"
}
}
}
