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EM-T1International Journal of Disaster Risk Science202516(6): 1044-1056Time-Series Flood Risk Assessment Based on Time Information Loss Compensation: Fusing Remote Sensing and Social Media DataZhenjie Liu, Jun Li, Lizhe Wang, Antonio Plaza被引 1基金开放获取全球变化洪涝风险与减灾
EM-T1Natural Hazards and Earth System Sciences202222(10): 3461-3485Interactions between precipitation, evapotranspiration and soil-moisture-based indices to characterize drought with high-resolution remote sensing and land-surface model dataJaime Gaona, Pere Quintana‐Seguí, Maria‐José Escorihuela, Aaron Anthony Boone 等 5 人被引 47高影响力 前 10%基金开放获取全球变化
EM-T1Geomatics, Natural Hazards and Risk20168(2): 448-465Landslides investigations from geoinformatics perspective: quality, challenges, and recommendationsSaied Pirasteh, Jonathan Li被引 57高影响力 前 10%开放获取环境管理、监测、政策与法规复合灾害与灾害链
EM-T1Journal of Flood Risk Management201912(S1)How can flood modelling advance in the “big data” age?Shreedhar Maskey被引 6开放获取全球变化洪涝风险与减灾金融风险与机器学习
EM-T1Natural Hazards Review202627(4)Improved Landslide Detection in Southeastern Xizang Based on L-DCGAN-Augmented Data and the L-YOLOv8 ModelGuoyang Liu, Jianbin Miao, Linlin Wang, Defang Liu 等 7 人被引 0环境管理、监测、政策与法规复合灾害与灾害链
EM-T1Natural Hazards Review202022(1)Advances of Satellite Remote Sensing Technology in Earthquake PredictionBinru Zhao, Shun Pan, Zhongchang Sun, Huadong Guo 等 6 人被引 37高影响力 前 10%地球物理学复合灾害与灾害链疏散行为与风险认知
EM-T1International Journal of Disaster Risk Reduction2026141: 106195-106195Leveraging LLMs for rapid disaster impacts assessment through News Media: A case study of the 2025 Myanmar EarthquakeRuben Vescovo, Xuanyan Dong, Sesa Wiguna, Chia Yee Ho 等 7 人被引 0基金开放获取传播学复合灾害与灾害链
EM-T1International Journal of Disaster Risk Science2026Assessing Climate-Sensitive Nutrient Pollution Hazards in Urban-Rural Transitional Watersheds: An Artificial Intelligence and Remote Sensing Data Assimilation ApproachJingyuan Xue, Can Yuan, Xiaoliang Ji, Michael L. Grieneisen 等 6 人被引 0基金开放获取有全文环境化学金融风险与机器学习
EM-WoSExpert Systems with Applications2027333: 133869CoreKD: Adaptive core-aware knowledge distillation for tiny object detection in remote sensing imageryZhuangzhuang Zhou, Weixiang Ren, Xuewu Zhao, Ning Yu 等 6 人被引 0开放获取计算机视觉与模式识别
EM-T1Natural Hazards201787(1): 103-120Rapid flood inundation mapping using social media, remote sensing and topographic dataJulian F. Rosser, Didier Leibovici, Michael J. Jackson被引 262高影响力 前 1%基金开放获取全球变化洪涝风险与减灾
EM-T1Journal of Flood Risk Management202418(1)Remote sensing‐based mapping of structural building damage in the Ahr valleyGuilherme Samprogna Mohor, Tobias Sieg, Oliver Koch, Aaron Buhrmann 等 7 人被引 6基金开放获取全球变化洪涝风险与减灾
EM-T1Natural Hazards and Earth System Sciences202222(1): 227-244其他Index establishment and capability evaluation of space–air–ground remote sensing cooperation in geohazard emergency responseYahong Liu, Jin Zhang被引 9基金开放获取组织行为与人力资源管理应急物资配置与人道物流
EM-T1International Journal of Disaster Risk Reduction2026145: 106400The 2023 Mw 6.8 Al Haouz, Morocco earthquake: A multi-layer reconnaissance framework for the remote sensing and field assessment of landslides, building and heritage damage, and road access disruption in the High Atlas regionViviana Iris Novelli, Fabio Freddi, Michael Whitworth, Martin Stokes 等 24 人被引 0基金开放获取土木与结构工程应急物资配置与人道物流复合灾害与灾害链路网损毁与基础设施韧性
EM-T1Natural Hazards and Earth System Sciences202626(1): 487-529Review article: Deep learning for potential landslide identification: data, models, applications, challenges, and opportunitiesPan Jiang, Zhengjing Ma, Gang Mei被引 24高影响力 前 1%基金开放获取环境管理、监测、政策与法规复合灾害与灾害链金融风险与机器学习
EM-T1Natural Hazards and Earth System Sciences202323(12): 3723-3745Machine-learning-based nowcasting of the Vögelsberg deep-seated landslide: why predicting slow deformation is not so easyAdriaan van Natijne, Thom A. Bogaard, Thomas Zieher, Jan Pfeiffer 等 5 人被引 7基金开放获取环境管理、监测、政策与法规复合灾害与灾害链金融风险与机器学习
EM-T1International Journal of Disaster Risk Science20178(4): 471-488Quantifying Disaster Physical Damage Using Remote Sensing Data—A Technical Work Flow and Case Study of the 2014 Ludian Earthquake in ChinaYida Fan, Qi Wen, Wei Wang, Ping Wang 等 6 人被引 58高影响力 前 10%基金开放获取大气科学复合灾害与灾害链
EM-T1Geomatics, Natural Hazards and Risk202617(1)Estimating urban flood severity using social media text and remote sensing data: a case study of Henan, ChinaZhixia Wu, Xiazhong Zheng, Wenli Hu, Yijun Chen 等 6 人被引 2高影响力 前 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 Risk202415(1): 2357650Flood susceptibility mapping leveraging open-source remote-sensing data and machine learning approaches in Nam Ngum River Basin (NNRB), Lao PDRSackdavong Mangkhaseum, Yogesh Bhattarai, Sunil Duwal, Akitoshi Hanazawaᎂᎂ被引 33高影响力 前 10%开放获取全球变化洪涝风险与减灾金融风险与机器学习
EM-T1Natural Hazards2026122(7)Artificial intelligence-driven approaches for assessing social vulnerability to natural hazards: a comprehensive bibliometric reviewPolat Göktaş, Hamidreza Rabiei‐Dastjerdi被引 2高影响力 前 10%基金开放获取社会学与政治学公平—效率权衡应急治理与韧性政策金融风险与机器学习
