{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,26]],"date-time":"2026-03-26T20:06:54Z","timestamp":1774555614558,"version":"3.50.1"},"reference-count":104,"publisher":"MDPI AG","issue":"9","license":[{"start":{"date-parts":[[2021,5,7]],"date-time":"2021-05-07T00:00:00Z","timestamp":1620345600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>Flash floods are among the most dangerous natural disasters. As climate change and urbanization advance, an increasing number of people are at risk of flash floods. The application of remote sensing and geographic information system (GIS) technologies in the study of flash floods has increased significantly over the last 20 years. In this paper, more than 200 articles published in the last 20 years are summarized and analyzed. First, a visualization analysis of the literature is performed, including a keyword co-occurrence analysis, time zone chart analysis, keyword burst analysis, and literature co-citation analysis. Then, the application of remote sensing and GIS technologies to flash flood disasters is analyzed in terms of aspects such as flash flood forecasting, flash flood disaster impact assessments, flash flood susceptibility analyses, flash flood risk assessments, and the identification of flash flood disaster risk areas. Finally, the current research status is summarized, and the orientation of future research is also discussed.<\/jats:p>","DOI":"10.3390\/rs13091818","type":"journal-article","created":{"date-parts":[[2021,5,7]],"date-time":"2021-05-07T22:36:24Z","timestamp":1620426984000},"page":"1818","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":40,"title":["A Survey of Remote Sensing and Geographic Information System Applications for Flash Floods"],"prefix":"10.3390","volume":"13","author":[{"given":"Lisha","family":"Ding","sequence":"first","affiliation":[{"name":"State Key Laboratory of Hydraulics and Mountain River Engineering, Sichuan University, Chengdu 610065, China"},{"name":"College of Hydraulic and Hydroelectric Engineering, Sichuan University, Chengdu 610065, China"}]},{"given":"Lei","family":"Ma","sequence":"additional","affiliation":[{"name":"School of Geography and Ocean Science, Nanjing University, Nanjing 210093, China"},{"name":"Signal Processing in Earth Observation, Technical University of Munich (TUM), 80333 Munich, Germany"}]},{"given":"Longguo","family":"Li","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Hydraulics and Mountain River Engineering, Sichuan University, Chengdu 610065, China"},{"name":"College of Hydraulic and Hydroelectric Engineering, Sichuan University, Chengdu 610065, China"}]},{"given":"Chao","family":"Liu","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Hydraulics and Mountain River Engineering, Sichuan University, Chengdu 610065, China"},{"name":"College of Hydraulic and Hydroelectric Engineering, Sichuan University, Chengdu 610065, China"}]},{"given":"Naiwen","family":"Li","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Hydraulics and Mountain River Engineering, Sichuan University, Chengdu 610065, China"},{"name":"College of Hydraulic and Hydroelectric Engineering, Sichuan University, Chengdu 610065, China"}]},{"given":"Zhengli","family":"Yang","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Hydraulics and Mountain River Engineering, Sichuan University, Chengdu 610065, China"},{"name":"College of Hydraulic and Hydroelectric Engineering, Sichuan University, Chengdu 610065, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2387-4598","authenticated-orcid":false,"given":"Yuanzhi","family":"Yao","sequence":"additional","affiliation":[{"name":"School of forestry and wildlife sciences, Auburn University, Auburn, AL 36830, USA"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3649-0983","authenticated-orcid":false,"given":"Heng","family":"Lu","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Hydraulics and Mountain River Engineering, Sichuan University, Chengdu 610065, China"},{"name":"College of Hydraulic and Hydroelectric Engineering, Sichuan University, Chengdu 610065, China"}]}],"member":"1968","published-online":{"date-parts":[[2021,5,7]]},"reference":[{"key":"ref_1","first-page":"261","article-title":"Flash flood hazard mapping using satellite images and GIS tools: A case study of Najran City, Kingdom of Saudi Arabia (KSA)","volume":"18","author":"Elkhrachy","year":"2015","journal-title":"Egypt. J. Remote Sens. Space Sci."},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"195","DOI":"10.5194\/nhess-6-195-2006","article-title":"Karst flash floods: An example from the Dinaric karst (Croatia)","volume":"6","author":"Bonacci","year":"2006","journal-title":"Nat. Hazards Earth Sys."},{"key":"ref_3","doi-asserted-by":"crossref","unstructured":"Wang, G., Liu, Y., Hu, Z., Lyu, Y., Zhang, G., Liu, J., Liu, Y., Gu, Y., Huang, X., and Zheng, H. (2020). Flood risk assessment based on fuzzy synthetic evaluation method in the Beijing-Tianjin-Hebei metropolitan area, China. Sustainability, 12.","DOI":"10.3390\/su12041451"},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"231","DOI":"10.1016\/j.trd.2005.04.007","article-title":"Impacts of flooding and climate change on urban transportation: A systemwide performance assessment of the Boston Metro Area","volume":"10","author":"Suarez","year":"2005","journal-title":"Transp. Res. Part D Transp. Environ."},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"143559","DOI":"10.1016\/j.scitotenv.2020.143559","article-title":"Understanding dynamics of population flood exposure in Canada with multiple high-resolution population datasets","volume":"759","author":"Mohanty","year":"2021","journal-title":"Sci. Total Environ."},{"key":"ref_6","doi-asserted-by":"crossref","unstructured":"Mustafa, A., and Szyd\u0142owski, M. (2020). The impact of spatiotemporal changes in land development (1984\u20132019) on the increase in the runoff coefficient in Erbil, Kurdistan region of Iraq. Remote Sens., 12.","DOI":"10.3390\/rs12081302"},{"key":"ref_7","doi-asserted-by":"crossref","first-page":"2771","DOI":"10.1002\/hyp.8040","article-title":"A review of advances in flash flood forecasting","volume":"25","author":"Hapuarachchi","year":"2011","journal-title":"Hydrol. Process."},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"734","DOI":"10.1016\/j.envsci.2010.12.009","article-title":"Impacts of climatic change on water and natural hazards in the Alps: Can current water governance cope with future challenges? Examples from the European \u201cACQWA\u201d project","volume":"14","author":"Beniston","year":"2011","journal-title":"Environ. Sci. Policy"},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"283","DOI":"10.1007\/s10584-006-9159-6","article-title":"Integrated assessment of changes in flooding probabilities due to climate change","volume":"81","author":"Kleinen","year":"2007","journal-title":"Clim. Chang."},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"1119","DOI":"10.1007\/s12665-010-0786-x","article-title":"Flood disaster in Taihu Basin, China: Causal chain and policy option analyses","volume":"63","author":"Liang","year":"2011","journal-title":"Environ. Earth Sci."},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"647","DOI":"10.1007\/s10708-019-09984-2","article-title":"Detecting flood prone areas in Harris County: A GIS based analysis","volume":"85","author":"Mukherjee","year":"2020","journal-title":"GeoJournal"},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"245","DOI":"10.1016\/j.jafrearsci.2019.02.004","article-title":"Flash floods and groundwater evaluation for the non-gauged dryland catchment using remote sensing, GIS and DC resistivity data: A case study from the Eastern Desert of Egypt","volume":"152","author":"Attwa","year":"2019","journal-title":"J. Afr. Earth Sci."},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"1417","DOI":"10.5194\/nhess-8-1417-2008","article-title":"An observational and numerical study of a flash-flood event over south-eastern Italy","volume":"8","author":"Miglietta","year":"2008","journal-title":"Nat. Hazards Earth Syst."},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"3","DOI":"10.1002\/qj.29","article-title":"Flash flood forecasting: What are the limits of predictability?","volume":"133","author":"Collier","year":"2007","journal-title":"Q. J. R. Meteorol. Soc."},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"1834","DOI":"10.1175\/JAM2173.1","article-title":"Precipitation estimation from remotely sensed imagery using an artificial neural network cloud classification system","volume":"43","author":"Hong","year":"2004","journal-title":"J. Appl. Meteorol."},{"key":"ref_16","first-page":"588","article-title":"African rainfall climatology version 2 for famine early warning systems","volume":"3","author":"Nocholas","year":"2013","journal-title":"Am. Meteorol. Soc."},{"key":"ref_17","doi-asserted-by":"crossref","first-page":"259","DOI":"10.1016\/j.jhydrol.2015.05.040","article-title":"The quantitative precipitation estimation system for Dallas\u2013Fort Worth (DFW) urban remote sensing network","volume":"531","author":"Chen","year":"2015","journal-title":"J. Hydrol."},{"key":"ref_18","doi-asserted-by":"crossref","first-page":"11954","DOI":"10.3390\/rs70911954","article-title":"Rapid response to a typhoon-induced flood with an SAR-derived map of inundated area case study and validation","volume":"7","author":"Chung","year":"2015","journal-title":"Remote Sens."},{"key":"ref_19","doi-asserted-by":"crossref","first-page":"1191","DOI":"10.1007\/s11069-019-03695-0","article-title":"Integration of satellite remote sensing and geophysical techniques (electrical resistivity tomography and ground penetrating radar) for landslide characterization at Kunjethi (Kalimath), Garhwal Himalaya, India","volume":"97","author":"Kannaujiya","year":"2019","journal-title":"Nat. Hazards"},{"key":"ref_20","doi-asserted-by":"crossref","first-page":"3513","DOI":"10.1007\/s00024-019-02413-y","article-title":"The role of atmospheric processes associated with a flash-flood event over Northwestern Turkey","volume":"177","author":"Baltaci","year":"2020","journal-title":"Pure Appl. Geophys."},{"key":"ref_21","doi-asserted-by":"crossref","first-page":"305","DOI":"10.1016\/j.isprsjprs.2020.07.015","article-title":"Remote sensed-based rainfall estimations over the East and West Africa regions for disaster risk management","volume":"167","author":"Boluwade","year":"2020","journal-title":"ISPRS J. Photogramm. Remote Sens"},{"key":"ref_22","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1155\/2020\/1039309","article-title":"Low-cost solutions for assessment of flash flood impacts using sentinel-1\/2 data fusion and hydrologic\/hydraulic modeling: Wadi El-Natrun Region, Egypt","volume":"2020","author":"Sadek","year":"2020","journal-title":"Adv. Civ. Eng."},{"key":"ref_23","doi-asserted-by":"crossref","unstructured":"Munir, B.A., Ahmad, S.R., and Hafeez, S. (2020). Integrated hazard modeling for simulating torrential stream response to flash flood events. ISPRS Int. J. Geo Inf., 9.","DOI":"10.3390\/ijgi9010001"},{"key":"ref_24","doi-asserted-by":"crossref","unstructured":"Sayama, T., Matsumoto, K., Kuwano, Y., and Takara, K. (2019). Application of backpack-mounted mobile mapping system and rainfall\u2013runoff\u2013inundation model for flash flood analysis. Water, 11.","DOI":"10.3390\/w11050963"},{"key":"ref_25","doi-asserted-by":"crossref","unstructured":"Abdelkarim, A., Gaber, A., Youssef, A., and Pradhan, B. (2019). Flood hazard assessment of the urban area of Tabuk City, Kingdom of Saudi Arabia by integrating spatial-based hydrologic and hydrodynamic modeling. Sensing, 19.","DOI":"10.3390\/s19051024"},{"key":"ref_26","doi-asserted-by":"crossref","first-page":"180","DOI":"10.2166\/hydro.2018.043","article-title":"Geospatial hazard modeling for the delineation of flash flood-prone zones in Wadi Dahab basin, Egypt","volume":"21","author":"Abuzied","year":"2019","journal-title":"J. Hydroinform."},{"key":"ref_27","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1007\/s12517-020-06173-1","article-title":"Integration of remotely sensed and seismicity data for geo-natural hazard assessment along the Red Sea Coast, Egypt","volume":"13","author":"Kamel","year":"2020","journal-title":"Arab. J. Geosci."},{"key":"ref_28","first-page":"143","article-title":"Identification of flash flood hazard zones in mountainous small watershed of Aceh Besar Regency, Aceh Province, Indonesia","volume":"19","author":"Hadihardaja","year":"2019","journal-title":"Egypt. J. Remote Sens. Space Sci."},{"key":"ref_29","doi-asserted-by":"crossref","first-page":"073564","DOI":"10.1117\/1.JRS.7.073564","article-title":"Detecting flooded areas with machine learning techniques: Case study of the Sel\u0161ka Sora river flash flood in September 2007","volume":"7","author":"Lamovec","year":"2013","journal-title":"J. Appl. Remote Sens."},{"key":"ref_30","doi-asserted-by":"crossref","first-page":"1","DOI":"10.2478\/environ-2019-0013","article-title":"A geospatial approach to flash flood hazard mapping in the city of Warangal, Telangana, India","volume":"7","author":"Bandi","year":"2019","journal-title":"Environ. Socio-Econ. Stud."},{"key":"ref_31","doi-asserted-by":"crossref","first-page":"1142","DOI":"10.2166\/nh.2016.133","article-title":"Assessing the impact of arid area urbanization on flash floods using GIS, remote sensing, and HEC-HMS rainfall\u2013runoff modeling","volume":"47","year":"2016","journal-title":"Hydrol. Res."},{"key":"ref_32","doi-asserted-by":"crossref","unstructured":"Psomiadis, E., Tomanis, L., Kavvadias, A., Soulis, K.X., Charizopoulos, N., and Michas, S. (2021). Potential dam breach analysis and flood wave risk assessment using HEC-RAS and remote sensing data: A multicriteria approach. Water, 13.","DOI":"10.3390\/w13030364"},{"key":"ref_33","doi-asserted-by":"crossref","first-page":"2195","DOI":"10.5194\/nhess-20-2195-2020","article-title":"Hydrogeomorphological analysis and modelling for a comprehensive understanding of flash-flood damage processes: The 9 October 2018 event in northeastern Mallorca","volume":"20","author":"Estrany","year":"2020","journal-title":"Nat. Hazards Earth Syst."},{"key":"ref_34","doi-asserted-by":"crossref","unstructured":"Mashaly, J., and Ghoneim, E. (2018). Flash flood hazard using optical, radar, and stereo-pair derived DEM: Eastern Desert, Egypt. Remote Sensing, 10.","DOI":"10.3390\/rs10081204"},{"key":"ref_35","doi-asserted-by":"crossref","first-page":"283","DOI":"10.1007\/s40747-018-0078-8","article-title":"An integrated fluvial and flash pluvial model using 2D high-resolution sub-grid and particle swarm optimization-based random forest approaches in GIS","volume":"5","author":"Rizeei","year":"2019","journal-title":"Complex Intell. Syst."},{"key":"ref_36","doi-asserted-by":"crossref","unstructured":"Costache, R., Pham, Q.B., Sharifi, E., Linh, N.T.T., Abba, S.I., Vojtek, M., Vojtekov\u00e1, J., Nhi, P.T.T., and Khoi, D.N. (2020). Flash-flood susceptibility assessment using multi-criteria decision making and machine learning supported by remote sensing and GIS techniques. Remote Sens., 12.","DOI":"10.3390\/rs12010106"},{"key":"ref_37","doi-asserted-by":"crossref","unstructured":"Nguyen, V.-N., Yariyan, P., Amiri, M., Tran, A.D., Pham, T.D., Do, M.P., Ngo, P.T.T., Nhu, V.-H., Long, N.Q., and Bui, D.T. (2020). A New modeling approach for spatial prediction of flash flood with biogeography optimized CHAID tree ensemble and remote sensing data. Remote Sens., 12.","DOI":"10.3390\/rs12091373"},{"key":"ref_38","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1007\/s10661-016-5665-9","article-title":"Flash flood susceptibility analysis and its mapping using different bivariate models in Iran: A comparison between Shannon\u2019s entropy, statistical index, and weighting factor models","volume":"188","author":"Khosravi","year":"2016","journal-title":"Environ. Monit. Assess."},{"key":"ref_39","doi-asserted-by":"crossref","first-page":"311","DOI":"10.1016\/j.jhydrol.2019.03.073","article-title":"A comparative assessment of flood susceptibility modeling using multi-criteria decision-making analysis and machine learning methods","volume":"573","author":"Khosravi","year":"2019","journal-title":"J. Hydrol."},{"key":"ref_40","doi-asserted-by":"crossref","first-page":"2561215","DOI":"10.1155\/2019\/2561215","article-title":"Low-cost solution for assessment of urban flash flood impacts using Sentinel-2 Satellite images and Fuzzy Analytic Hierarchy process: A case study of Ras Ghareb City, Egypt","volume":"2019","author":"Sadek","year":"2019","journal-title":"Adv. Civ. Eng."},{"key":"ref_41","doi-asserted-by":"crossref","first-page":"2263","DOI":"10.1007\/s40808-020-00807-9","article-title":"Flash flood risk assessment for drainage basins in the Himalayan foreland of Jalpaiguri and Darjeeling Districts, West Bengal","volume":"6","author":"Karmokar","year":"2020","journal-title":"Modeling Earth Syst. Environ."},{"key":"ref_42","doi-asserted-by":"crossref","first-page":"179","DOI":"10.1080\/15715124.2017.1411922","article-title":"Analysis of land use change impacts on flash flood occurrences in the Sosiani River basin Kenya","volume":"16","author":"Barasa","year":"2018","journal-title":"Int. J. River Basin Manag."},{"key":"ref_43","doi-asserted-by":"crossref","first-page":"1018","DOI":"10.1080\/19475705.2015.1012750","article-title":"Analysis on causes of flash flood in Jeddah city (Kingdom of Saudi Arabia) of 2009 and 2011 using multi-sensor remote sensing data and GIS","volume":"7","author":"Youssef","year":"2016","journal-title":"Geomat. Nat. Hazards Risk"},{"key":"ref_44","doi-asserted-by":"crossref","first-page":"54","DOI":"10.1016\/j.jaridenv.2016.06.004","article-title":"Geospatial risk assessment of flash floods in Nuweiba area, Egypt","volume":"133","author":"Abuzied","year":"2016","journal-title":"J. Arid Environ."},{"key":"ref_45","doi-asserted-by":"crossref","first-page":"181","DOI":"10.1007\/s12517-010-0156-8","article-title":"Morphometric analysis and flash floods of Wadi Sudr and Wadi Wardan, Gulf of Suez, Egypt: Using digital elevation model","volume":"5","author":"Sherief","year":"2012","journal-title":"Arab. J. Geosci."},{"key":"ref_46","doi-asserted-by":"crossref","first-page":"172","DOI":"10.4103\/1673-5374.286974","article-title":"Insights into stem cell therapy for diabetic retinopathy: A bibliometric and visual analysis","volume":"16","author":"Li","year":"2021","journal-title":"Neural Regen. Res."},{"key":"ref_47","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1155\/2019\/5735702","article-title":"Review of urban transportation network design problems based on citespace","volume":"2019","author":"Jia","year":"2019","journal-title":"Math. Probl. Eng."},{"key":"ref_48","doi-asserted-by":"crossref","first-page":"108","DOI":"10.1080\/09669582.2017.1329310","article-title":"Climate change and tourism: A scientometric analysis using citespace","volume":"26","author":"Fang","year":"2017","journal-title":"J. Sustain. Tour."},{"key":"ref_49","doi-asserted-by":"crossref","first-page":"611","DOI":"10.1007\/s12665-010-0551-1","article-title":"Flash flood risk estimation along the St. Katherine road, southern Sinai, Egypt using GIS based morphometry and satellite imagery","volume":"62","author":"Youssef","year":"2011","journal-title":"Environ. Earth Sci."},{"key":"ref_50","doi-asserted-by":"crossref","first-page":"48","DOI":"10.1016\/j.jhydrol.2003.12.045","article-title":"Predicting locations sensitive to flash flooding in an arid environment","volume":"292","author":"Foody","year":"2004","journal-title":"J. Hydrol."},{"key":"ref_51","doi-asserted-by":"crossref","first-page":"1387","DOI":"10.1016\/S0309-1708(02)00062-3","article-title":"Radar hydrology: Rainfall estimation","volume":"25","author":"Krajewski","year":"2002","journal-title":"Adv. Water Resour."},{"key":"ref_52","doi-asserted-by":"crossref","unstructured":"Nhu, V.-H., Ngo, P.-T.T., Pham, T., Dou, J., Song, X., Hoang, N.-D., Tran, D., Cao, D., Aydilek, I., and Amiri, M. (2020). A new hybrid Firefly\u2013PSO optimized random subspace tree intelligence for torrential rainfall-induced flash flood susceptible mapping. Remote Sens., 12.","DOI":"10.3390\/rs12172688"},{"key":"ref_53","doi-asserted-by":"crossref","first-page":"194","DOI":"10.1016\/j.jhydrol.2014.05.022","article-title":"Hydrogeomorphic response to extreme rainfall in headwater systems: Flash floods and debris flows","volume":"518","author":"Borga","year":"2014","journal-title":"J. Hydrol."},{"key":"ref_54","doi-asserted-by":"crossref","unstructured":"Psomiadis, E., Soulis, K., Zoka, M., and Dercas, N. (2019). Synergistic approach of remote sensing and GIS techniques for flash-flood monitoring and damage assessment in Thessaly plain area, Greece. Water, 11.","DOI":"10.3390\/w11030448"},{"key":"ref_55","doi-asserted-by":"crossref","first-page":"1083","DOI":"10.1007\/s40808-019-00593-z","article-title":"Application of GIS-based analytic hierarchy process and frequency ratio model to flood vulnerable mapping and risk area estimation at Sundarban region, India","volume":"5","author":"Ali","year":"2019","journal-title":"Modeling Earth Syst. Environ."},{"key":"ref_56","doi-asserted-by":"crossref","first-page":"1000","DOI":"10.1080\/19475705.2015.1045043","article-title":"Flood hazard zoning in Yasooj region, Iran, using GIS and multi-criteria decision analysis","volume":"7","author":"Rahmati","year":"2016","journal-title":"Geomat. Nat. Hazards Risk"},{"key":"ref_57","doi-asserted-by":"crossref","first-page":"553","DOI":"10.3390\/w9070553","article-title":"A Hydrological and Geomorphometric Approach to Understanding the Generation of Wadi Flash Floods","volume":"9","author":"Abdelfattah","year":"2017","journal-title":"Water"},{"key":"ref_58","doi-asserted-by":"crossref","first-page":"143","DOI":"10.1007\/s12517-013-1190-0","article-title":"A physically based distributed hydrological model of wadi system to simulate flash floods in arid regions","volume":"8","author":"Saber","year":"2015","journal-title":"Arab. J. Geosci."},{"key":"ref_59","doi-asserted-by":"crossref","first-page":"677","DOI":"10.1007\/s41324-017-0135-1","article-title":"Exploring prioritized sub-basins in terms of flooding risk using HEC_HMS model in Eskandari catchment, Iran","volume":"25","author":"Eslami","year":"2017","journal-title":"Spat. Inf. Res."},{"key":"ref_60","first-page":"219","article-title":"Integrating GIS and HEC-RAS to model Assiut plateau runoff","volume":"21","author":"Ezz","year":"2018","journal-title":"Egypt. J. Remote Sens. Space Sci."},{"key":"ref_61","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1023\/A:1008097403587","article-title":"Floodplain management in urban developing areas. Part, I. urban growth scenarios and land-use controls","volume":"13","author":"Correia","year":"1999","journal-title":"Water Resour. Manag."},{"key":"ref_62","first-page":"31","article-title":"Environmental sensitivity of flash flood hazard using geospatial techniques","volume":"6","author":"Hamid","year":"2020","journal-title":"Glob. J. Environ. Sci. Manag."},{"key":"ref_63","doi-asserted-by":"crossref","first-page":"95","DOI":"10.1016\/j.wse.2020.06.001","article-title":"Possibilities of urban flood reduction through distributed-scale rainwater harvesting","volume":"13","author":"Akter","year":"2020","journal-title":"Water Sci. Eng."},{"key":"ref_64","doi-asserted-by":"crossref","first-page":"251","DOI":"10.1007\/s12665-011-1504-z","article-title":"An artificial neural network model for flood simulation using GIS: Johor River Basin, Malaysia","volume":"67","author":"Kia","year":"2012","journal-title":"Environ. Earth Sci."},{"key":"ref_65","doi-asserted-by":"crossref","first-page":"3401","DOI":"10.1007\/s11069-020-04135-0","article-title":"Advanced remote sensing techniques in flash flood delineation in Tabuk City, Saudi Arabia","volume":"103","author":"Elhag","year":"2020","journal-title":"Nat. Hazards"},{"key":"ref_66","doi-asserted-by":"crossref","unstructured":"Elkhrachy, I., Pham, Q.B., Costache, R., Mohajane, M., Rahman, K.U., Shahabi, H., Linh, N.T.T., and Anh, D.T. (2021). 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, Egypt. J. Flood Risk Manag., e12692.","DOI":"10.1111\/jfr3.12692"},{"key":"ref_67","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1155\/2020\/8830661","article-title":"Evaluation of floods and landslides triggered by a meteorological catastrophe (Ordu, Turkey, August 2018) using optical and radar data","volume":"2020","author":"Kocaman","year":"2020","journal-title":"Geofluids"},{"key":"ref_68","doi-asserted-by":"crossref","unstructured":"Hakdaoui, S., Emran, A., Pradhan, B., Lee, C., and Nguemhe Fils, S.C. (2019). A collaborative change detection approach on multi-sensor spatial imagery for desert Wetland monitoring after a flash flood in Southern Morocco. Remote Sens., 11.","DOI":"10.3390\/rs11091042"},{"key":"ref_69","doi-asserted-by":"crossref","first-page":"4","DOI":"10.1016\/j.jhydrol.2012.12.026","article-title":"Performance evaluation of radar and satellite rainfalls for Typhoon Morakot over Taiwan: Are remote-sensing products ready for gauge denial scenario of extreme events?","volume":"506","author":"Chen","year":"2013","journal-title":"J. Hydrol."},{"key":"ref_70","doi-asserted-by":"crossref","first-page":"291","DOI":"10.1007\/s11069-009-9430-z","article-title":"River and landslide dynamics on the western Tanganyika rift border, Uvira, D.R. Congo: Diachronic observations and a GIS inventory of traces of extreme geomorphologic activity","volume":"53","author":"Moeyersons","year":"2010","journal-title":"Nat. Hazards"},{"key":"ref_71","doi-asserted-by":"crossref","first-page":"37","DOI":"10.1007\/s11852-010-0118-z","article-title":"Geo-environmental hazards assessment of the north western Gulf of Suez, Egypt","volume":"15","author":"Arnous","year":"2011","journal-title":"J. Coast. Conserv."},{"key":"ref_72","doi-asserted-by":"crossref","first-page":"457","DOI":"10.1007\/s11852-010-0136-x","article-title":"GIS and remote sensing as tools for conducting geo-hazards risk assessment along Gulf of Aqaba coastal zone, Egypt","volume":"15","author":"Arnous","year":"2011","journal-title":"J. Coast. Conserv."},{"key":"ref_73","doi-asserted-by":"crossref","first-page":"45","DOI":"10.1007\/s12517-010-0144-z","article-title":"Flood hazard in Wadi Rahbaa area, Egypt","volume":"5","author":"Soussa","year":"2012","journal-title":"Arab. J. Geosci."},{"key":"ref_74","doi-asserted-by":"crossref","first-page":"785","DOI":"10.1007\/s12517-009-0090-9","article-title":"Runoff modeling of the wadi systems for estimating flash flood and groundwater recharge potential in Southern Sinai, Egypt","volume":"4","author":"Masoud","year":"2011","journal-title":"Arab. J. Geosci."},{"key":"ref_75","doi-asserted-by":"crossref","first-page":"381","DOI":"10.1007\/s12517-016-2414-x","article-title":"Quantitative morphometric analysis in the hard rock Hirehalla sub-basin, Bellary and Davanagere Districts, Karnataka, India using RS and GIS","volume":"9","author":"Asode","year":"2016","journal-title":"Arab. J. Geosci."},{"key":"ref_76","first-page":"1","article-title":"Drainage network extraction and morphometric analysis using remote sensing and GIS mapping techniques (Lesser Zab River Basin, Iraq and Iran)","volume":"75","author":"Othman","year":"2016","journal-title":"Environ. Earth Sci."},{"key":"ref_77","doi-asserted-by":"crossref","first-page":"613","DOI":"10.1007\/s12594-018-0912-z","article-title":"Morphometric analysis and hydrological inference for water resource management in Atrai-Sib River Basin, NW Bangladesh using remote sensing and GIS technique","volume":"91","author":"Jahan","year":"2018","journal-title":"J. Geol. Soc. India"},{"key":"ref_78","doi-asserted-by":"crossref","first-page":"269","DOI":"10.5194\/hess-24-269-2020","article-title":"Impact of high-resolution sea surface temperature representation on the forecast of small Mediterranean catchments\u2019 hydrological responses to heavy precipitation","volume":"24","author":"Senatore","year":"2020","journal-title":"Hydrol. Earth Syst. Sci."},{"key":"ref_79","doi-asserted-by":"crossref","first-page":"5346","DOI":"10.1029\/2017JD027559","article-title":"Investigating satellite precipitation uncertainty over complex terrain","volume":"123","author":"Bartsotas","year":"2018","journal-title":"J. Geophys. Res. Atmos."},{"key":"ref_80","doi-asserted-by":"crossref","first-page":"332","DOI":"10.1016\/j.jhydrol.2014.03.008","article-title":"Flood susceptibility mapping using a novel ensemble weights-of-evidence and support vector machine models in GIS","volume":"512","author":"Tehrany","year":"2014","journal-title":"J. Hydrol."},{"key":"ref_81","doi-asserted-by":"crossref","first-page":"104809","DOI":"10.1016\/j.atmosres.2019.104809","article-title":"Performance of five high resolution satellite-based precipitation products in arid region of Egypt: An evaluation","volume":"236","author":"Nashwan","year":"2020","journal-title":"Atmos. Res."},{"key":"ref_82","doi-asserted-by":"crossref","unstructured":"Chen, M., Nabih, S., Brauer, N.S., Gao, S., Gourley, J.J., Hong, Z., Kolar, R.L., and Hong, Y. (2020). Can remote sensing technologies capture the extreme precipitation event and its cascading hydrological response? A case study of hurricane harvey using EF5 modeling framework. Remote Sens., 12.","DOI":"10.3390\/rs12030445"},{"key":"ref_83","doi-asserted-by":"crossref","first-page":"475","DOI":"10.5721\/EuJRS20134628","article-title":"Extreme precipitation on the Island of Madeira on 20 February 2010 as seen by satellite passive microwave sounders","volume":"46","author":"Levizzani","year":"2013","journal-title":"Eur. J. Remote Sens."},{"key":"ref_84","doi-asserted-by":"crossref","first-page":"130","DOI":"10.1016\/j.jhydrol.2012.06.033","article-title":"Summertime evaluation of REFAME over the Unites States for near real-time high resolution precipitation estimation","volume":"456\u2013457","author":"Behrangi","year":"2012","journal-title":"J. Hydrol."},{"key":"ref_85","doi-asserted-by":"crossref","unstructured":"Levizzani, V., and Cattani, E. (2019). Satellite Remote sensing of precipitation and the terrestrial water cycle in a changing climate. Remote Sens., 11.","DOI":"10.3390\/rs11192301"},{"key":"ref_86","doi-asserted-by":"crossref","first-page":"125195","DOI":"10.1016\/j.jhydrol.2020.125195","article-title":"Approximate calculation of flash flood maximum inundation extent in small catchment with large elevation difference","volume":"590","author":"Li","year":"2020","journal-title":"J. Hydrol."},{"key":"ref_87","first-page":"2347","article-title":"Remote sensing-based quantification of the impact of flash flooding on the rice production: A case study over Northeastern Bangladesh","volume":"17","author":"Ahmed","year":"2017","journal-title":"Sensing"},{"key":"ref_88","doi-asserted-by":"crossref","first-page":"5077","DOI":"10.3390\/rs70505077","article-title":"Object-based flood mapping and affected rice field estimation with landsat 8 OLI and MODIS data","volume":"7","author":"Dao","year":"2015","journal-title":"Remote Sensing"},{"key":"ref_89","doi-asserted-by":"crossref","first-page":"3681","DOI":"10.1080\/01431160110114484","article-title":"An efficient method for mapping flood extent in a coastal floodplain using Landsat TM and DEM data","volume":"23","author":"Wang","year":"2002","journal-title":"Int. J. Remote Sens."},{"key":"ref_90","doi-asserted-by":"crossref","first-page":"2367","DOI":"10.3390\/w6082367","article-title":"Flood damage modeling on the basis of urban structure mapping using high-resolution remote sensing data","volume":"6","author":"Gerl","year":"2014","journal-title":"Water"},{"key":"ref_91","doi-asserted-by":"crossref","first-page":"4920","DOI":"10.1002\/hyp.13913","article-title":"An integrated approach of flash flood analysis in ungauged Mediterranean watersheds using post-flood surveys and unmanned aerial vehicles","volume":"34","author":"Kastridis","year":"2020","journal-title":"Hydrol. Process."},{"key":"ref_92","doi-asserted-by":"crossref","first-page":"1191","DOI":"10.1007\/s12517-011-0411-7","article-title":"Assessing flash flood hazard in an arid mountainous region","volume":"6","author":"Ghoneim","year":"2013","journal-title":"Arab. J. Geosci."},{"key":"ref_93","doi-asserted-by":"crossref","first-page":"2431","DOI":"10.1007\/s11069-020-04406-w","article-title":"Identification of flash-floods-prone river reaches in Beas river basin using GIS-based multi-criteria technique: Validation using field and satellite observations","volume":"105","author":"Singh","year":"2021","journal-title":"Nat. Hazards"},{"key":"ref_94","doi-asserted-by":"crossref","first-page":"1","DOI":"10.15446\/esrj.v20n1.49624","article-title":"Geospatial analysis for the determination of hydro-morphological characteristics and assessment of flash flood potentiality in arid coastal plains: A case in Southwestern Sinai, Egypt","volume":"20","author":"Wahid","year":"2016","journal-title":"Earth Sci. Res. J."},{"key":"ref_95","doi-asserted-by":"crossref","first-page":"297","DOI":"10.1007\/s12524-017-0670-1","article-title":"Assessment and management flash flood in Najran Wady using GIS and remote sensing","volume":"46","author":"Elkhrachy","year":"2018","journal-title":"J. Indian Soc. Remote Sens"},{"key":"ref_96","doi-asserted-by":"crossref","first-page":"215","DOI":"10.1007\/s11600-018-0233-z","article-title":"Flood risk assessment and mapping using AHP in arid and semiarid regions","volume":"67","author":"Radwan","year":"2019","journal-title":"Acta Geophys."},{"key":"ref_97","doi-asserted-by":"crossref","unstructured":"Costache, R., Bao Pham, Q., Corodescu-Ro\u0219ca, E., C\u00eempianu, C., Hong, H., Thi Thuy Linh, N., Ming Fai, C., Najah Ahmed, A., Vojtek, M., and Muhammed Pandhiani, S. (2020). Using GIS, remote sensing, and machine learning to highlight the correlation between the land-use\/land-cover changes and flash-flood potential. Remote Sens., 12.","DOI":"10.3390\/rs12091422"},{"key":"ref_98","doi-asserted-by":"crossref","first-page":"124379","DOI":"10.1016\/j.jhydrol.2019.124379","article-title":"Verification of novel integrations of swarm intelligence algorithms into deep learning neural network for flood susceptibility mapping","volume":"581","author":"Bui","year":"2020","journal-title":"J. Hydrol."},{"key":"ref_99","doi-asserted-by":"crossref","first-page":"2765","DOI":"10.5194\/nhess-11-2765-2011","article-title":"Flood susceptibility assessment in a highly urbanized alluvial fan: The case study of Sala Consilina (southern Italy)","volume":"11","author":"Santangelo","year":"2011","journal-title":"Nat. Hazard. Earth Syst."},{"key":"ref_100","doi-asserted-by":"crossref","unstructured":"Cao, C., Xu, P., Wang, Y., Chen, J., Zheng, L., and Niu, C. (2016). Flash flood hazard susceptibility mapping using frequency ratio and statistical index methods in coalmine subsidence areas. Sustainability, 8.","DOI":"10.3390\/su8090948"},{"key":"ref_101","doi-asserted-by":"crossref","unstructured":"Vojtek, M., and Vojtekov\u00e1, J. (2019). Flood susceptibility mapping on a national scale in Slovakia using the analytical hierarchy process. Water, 11.","DOI":"10.3390\/w11020364"},{"key":"ref_102","doi-asserted-by":"crossref","first-page":"103971","DOI":"10.1016\/j.engappai.2020.103971","article-title":"A novel ensemble learning based on Bayesian Belief Network coupled with an extreme learning machine for flash flood susceptibility mapping","volume":"96","author":"Shirzadi","year":"2020","journal-title":"Eng. Appl. Artif. Intell."},{"key":"ref_103","first-page":"54","article-title":"Research on the division of risk areas of mountain flood disasters in Henan Province based on GIS","volume":"27","author":"Meng","year":"2017","journal-title":"Flood Control Drought Relief China"},{"key":"ref_104","doi-asserted-by":"crossref","first-page":"1491","DOI":"10.1007\/s40808-017-0354-4","article-title":"Geo-hydrological analysis and sub watershed prioritization for flash flood risk using weighted sum model and Snyder\u2019s synthetic unit hydrograph","volume":"3","author":"Prasad","year":"2017","journal-title":"Modeling Earth Syst. Environ."}],"container-title":["Remote Sensing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2072-4292\/13\/9\/1818\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T05:57:49Z","timestamp":1760162269000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2072-4292\/13\/9\/1818"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,5,7]]},"references-count":104,"journal-issue":{"issue":"9","published-online":{"date-parts":[[2021,5]]}},"alternative-id":["rs13091818"],"URL":"https:\/\/doi.org\/10.3390\/rs13091818","relation":{},"ISSN":["2072-4292"],"issn-type":[{"value":"2072-4292","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021,5,7]]}}}