EM-T1Geomatics, Natural Hazards and Risk202213(1): 949-974Flood susceptibility mapping using meta-heuristic algorithmsAlireza Arabameri, Amir Seyed Danesh, M. Santosh, Artemi Cerdà 等 8 人被引 85阅读 3高影响力 前 10%基金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-T1Journal of Flood Risk Management202518(4)Integrating Remote Sensing, Machine Learning, and Local Knowledge for Innovative Flood Susceptibility and Vulnerability MappingAli Nasiri Khiavi, Mehdi Vafakhah, Dongkyun Kim, Changhyun Jun 等 5 人被引 2基金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-T1Journal of Flood Risk Management201811(1): 3-5Land for flood risk management: A catchment‐wide and cross‐disciplinary perspectiveThomas Hartmann, Jiřina Jílková, Jochen Schanze被引 16阅读 3基金开放获取全球变化洪涝风险与减灾路网损毁与基础设施韧性疏散行为与风险认知
EM-T1Journal of Flood Risk Management202518(4)Assessment and Zonation of Flood Susceptibility in Sylhet Division, Bangladesh Using GIS and Analytic Hierarchy Process ( AHP )Iftekharul Islam, Md. Abdur Rahman, Md. Ibrahim Adham, Abdullah All‐Sahil Majumder 等 5 人被引 7高影响力 前 10%开放获取全球变化洪涝风险与减灾
EM-T1Journal of Flood Risk Management202115(1)Flood susceptibility assessment for ungauged sites in urban areas using spatial modelingZohreh Masoumi被引 22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-T1Risk Analysis202242(12): 2765-2780Integrated approach for spatial flood susceptibility assessment in Bhagirathi sub‐basin, India using entropy information theory and geospatial technologySufia Rehman, Mohd Sayeed Ul Hasan, Abhishek Kumar Rai, Md Hibjur Rahaman 等 6 人被引 34高影响力 前 10%全球变化洪涝风险与减灾
EM-T1Natural Hazards2025121(7): 7839-7868Improving flood hazard susceptibility assessment by integrating hydrodynamic modeling with remote sensing and ensemble machine learningIzhar Ahmad, Rashid Farooq, Muhammad Shehzad Ashraf, Muhammad Waseem 等 5 人被引 66高影响力 前 1%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-T1International Journal of Disaster Risk Reduction2025121: 105442-105442High-resolution flood susceptibility mapping and exposure assessment in Pakistan: An integrated artificial intelligence, machine learning and geospatial frameworkMirza Waleed, Muhammad Sajjad被引 33高影响力 前 1%基金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-T1Journal of Flood Risk Management202013(4)Computational advances and innovations in flood risk mappingMichael Nones, Daniel Caviedes‐Voullième被引 11开放获取全球变化洪涝风险与减灾路网损毁与基础设施韧性疏散行为与风险认知
EM-T1Natural Hazards2026122(5)Unveiling the performance of pre-processing approaches in machine learning based flood susceptibility mappingNihal Gülcan, Ömer Ekmekcioğlu被引 2阅读 1高影响力 前 10%基金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-T1Geomatics, Natural Hazards and Risk202213(1): 1640-1662Towards urban flood susceptibility mapping using data-driven models in Berlin, GermanyOmar Seleem, Georgy Ayzel, Arthur Costa Tomaz de Souza, Axel Bronstert 等 5 人被引 85阅读 3高影响力 前 10%基金开放获取全球变化洪涝风险与减灾
EM-T1Journal of Flood Risk Management202014(1)Flood susceptibility mapping and assessment using a novel deep learning model combining multilayer perceptron and autoencoder neural networksMohammad Ahmadlou, A’kif Al-Fugara, Abdel Rahman Al‐Shabeeb, Aman Arora 等 9 人被引 145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-T1International Journal of Disaster Risk Science202516(5): 858-869Flood Risk Assessment Combining Machine Learning with Multi-criteria Decision Analysis in Jiangxi Province, ChinaYong Liu, Lianyou Liu, Hongquan Sun, Bo Chen 等 7 人被引 14阅读 1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-T1Geomatics, Natural Hazards and Risk202516(1)Flood susceptibility mapping in the Nyabarongo Catchment, Rwanda, based on data analysis and modelingLeonard Nzabonantuma, Gilbert Nduwayezu, Seyed Amir Naghibi, Erik D. Nilsson 等 6 人被引 5基金开放获取全球变化洪涝风险与减灾
EM-T1Journal of Flood Risk Management202619(4)A Robust AHP–GIS Based Flood Susceptibility Mapping Using Stochastic Hill‐Climbing AlgorithmAkhilesh Poyam, Vikas Kumar Vidyarthi, Manikant Verma被引 0阅读 1开放获取全球变化洪涝风险与减灾
EM-T1Risk Analysis202243(7): 1478-1495Flood risk mapping and analysis using an integrated framework of machine learning models and analytic hierarchy processQuynh Duy Bui, Chinh Luu, Sy Hung Mai, Hang Thi Ha 等 6 人被引 43阅读 1高影响力 前 10%基金全球变化洪涝风险与减灾金融风险与机器学习
EM-T1Geomatics, Natural Hazards and Risk202112(1): 1488-1507Detection of areas prone to flood risk using state-of-the-art machine learning modelsRomulus Dumitru Costache, Alireza Arabameri, Ismail Elkhrachy, Omid Ghorbanzadeh 等 5 人被引 81阅读 1高影响力 前 10%基金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-T1Geomatics, Natural Hazards and Risk202516(1)Ensemble intelligence for urban resilience: flood susceptibility modeling in Mumbai using advanced machine learningHarekrishna Manna, Mridul Chandra Das, Malay Pramanik, Sanjit Sarkar 等 8 人被引 5基金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-T1Geomatics, Natural Hazards and Risk202617(1)GIS and remote sensing-based hybrid AHP–machine learning framework for flood susceptibility and risk assessment in the Wolaita Zone, Southern EthiopiaYeshiwase Yeneneh Wasie, Chia-Chun Ho, Po-Yen Yang, Dagne Almaw Kassa 等 5 人被引 0阅读 2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-T1International Journal of Disaster Risk Science202314(2): 326-341A Hybrid Multi-Hazard Susceptibility Assessment Model for a Basin in Elazig Province, TürkiyeGizem Karakaş, Sultan Kocaman, Candan Gökçeoğlu被引 33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洪涝风险与减灾金融风险与机器学习
