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EM-T1Geomatics, Natural Hazards and Risk202314(1)Integrated use of Sentinel-1 and Sentinel-2 data and open-source machine learning algorithms for burnt and unburnt scarsAqil Tariq, Yan Jiango, Linlin Lu, Ahsan Jamil 等 7 人被引 35高影响力 前 10%基金开放获取全球变化金融风险与机器学习
EM-T1Journal of Flood Risk Management202619(2)Performance Evaluation of Automated Flood Inundation Mapping Techniques Using Multi‐Temporal Sentinel‐1 SAR DataGautam Dadhich, Mukand S. Babel, Hiroyuki Miyazaki, Indrajit Pal 等 6 人被引 0阅读 1开放获取全球变化洪涝风险与减灾
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EM-T1Geomatics, Natural Hazards and Risk202314(1)Using Sentinel-1 and Google Earth Engine cloud computing for detecting historical flood hazards in tropical urban regions: a case of Dar es SalaamBiadgilgn Demissie, Sabine G. Vanhuysse, Taïs Grippa, Charlotte Flasse 等 5 人被引 19开放获取全球变化洪涝风险与减灾
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EM-T1Journal of Flood Risk Management202114(2)Sentinel‐1 remote sensing data and Hydrologic Engineering Centres River Analysis System two‐dimensional integration for flash flood detection and modelling in New Cairo City, EgyptIsmail Elkhrachy, Quoc Bao Pham, Romulus Dumitru Costache, Meriame Mohajane 等 8 人被引 50高影响力 前 10%开放获取全球变化应急物资配置与人道物流洪涝风险与减灾
EM-T1Journal of Flood Risk Management202115(3)Satellite‐based flood mapping in the boreal region for improving situational awarenessJuval Cohen, Kirsikka Heinilä, Mikko Huokuna, Sari Metsämäki 等 6 人被引 10开放获取全球变化洪涝风险与减灾应急治理与韧性政策
EM-T1Geomatics, Natural Hazards and Risk202617(1)Single synthetic aperture radar image for landslide mapping using attention U-NetYuan-Fong Su, Po-Hua Li被引 0基金开放获取环境管理、监测、政策与法规应急物资配置与人道物流复合灾害与灾害链金融风险与机器学习
EM-T1Geomatics, Natural Hazards and Risk202617(1)Long-term SBAS-InSAR validation study for landslide hazard identification in southwestern mountainous regions: comparative assessment based on LT-1, Sentinel-1 and ALOS-2 dataTao Chen, Junzhe Xiong, Jun Luo, Kun Yang 等 8 人被引 0开放获取航空航天工程复合灾害与灾害链
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EM-T1Natural Hazards and Earth System Sciences201818(5): 1493-1516Low cost, multiscale and multi-sensor application for flooded area mappingDaniele Giordan, Davide Notti, Alfredo Villa, Francesco Zucca 等 10 人被引 62高影响力 前 10%基金开放获取全球变化洪涝风险与减灾
EM-T1Natural Hazards2023120(2): 1577-1601Country-scale assessment of urban areas, population, and households exposed to land subsidence using Sentinel-1 InSAR, and GPS time seriesEnrique Antonio Fernández-Torres, Enrique Cabral‐Cano, Darío Solano-Rojas, Luis Salazar-Tlaczani 等 8 人被引 17基金开放获取航空航天工程
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EM-T1Geomatics, Natural Hazards and Risk201910(1): 2257-2275A Sentinel-1-based clustering analysis for geo-hazards mitigation at regional scale: a case study in Central ItalyRoberto Montalti, Lorenzo Solari, Silvia Bianchini, Matteo Del Soldato 等 6 人被引 30高影响力 前 10%基金开放获取航空航天工程
EM-T1Natural Hazards and Earth System Sciences202020(11): 3197-3214A systematic exploration of satellite radar coherence methods for rapid landslide detectionKaty Burrows, R. J. Walters, David Graham Milledge, Alexander Logan Densmore被引 67高影响力 前 10%基金开放获取环境管理、监测、政策与法规应急物资配置与人道物流复合灾害与灾害链
EM-T1Journal of Flood Risk Management201711(2): 152-168Multi‐temporal synthetic aperture radar flood mapping using change detectionMiles Adam Clement, Chris G. Kilsby, P. Moore被引 404高影响力 前 1%基金开放获取全球变化洪涝风险与减灾
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