TY - JOUR ID - 76346 TI - Flood Damage Detection Algorithm Using Sentinel-2 Images (Case Study: Golestan Flood of March 2019) JO - Iranian journal of Ecohydrology JA - IJE LA - en SN - 2423-6098 AU - Solaimani, Karim AU - Sharifipour, Mahdi AU - Abdoli Boozhani, Sepideh AD - Professor, Dept. of Watershed Management, Sari University of Agric. & Natural Res., PoBox 578 AD - M.Sc. in Remote Sensing & GIS, Higher Education Institute of Haraz, Amol AD - M.Sc. Student in Watershed Management, Sari University of Agric. & Natural Res., PoBox 578 Y1 - 2020 PY - 2020 VL - 7 IS - 2 SP - 303 EP - 312 KW - Flood KW - NDVI KW - time series KW - Sentinel-2 KW - Golestan province DO - 10.22059/ije.2020.292005.1233 N2 - Remote sensing data can be used with reasonable accuracy today for areas without statistics to investigate natural events. One of these sudden and damaging phenomena is flooding. April flood in Golestan province has caused much damage in various areas of housing, agriculture, forestry and so on. In the present study, using satellite data and presenting flood damage detection algorithm, this phenomenon is investigated. The highest difference in the NDVI index derived from Sentinel-2 data was calculated in the study period of March 2019 and late April 2019 in the study area. These results show that some areas have been severely damaged by floods, in which severity and duration of rainfall have had a significant role. These areas, which are estimated at an area of 70908 hectares, include agricultural, forest, residential, etc. Among the advantages of the proposed algorithm are the ease and speed of calculation, the capability to apply in urban areas, the high accuracy with reduced impact of other phenomena. The overall accuracy of the present algorithm is estimated to be 93.5% using ground control points. The accuracy of the results shows that the flood damage algorithm has a good accuracy to distinguish the areas under flood damage from areas safe from danger. UR - https://ije.ut.ac.ir/article_76346.html L1 - https://ije.ut.ac.ir/article_76346_1000d8dc8fc6f144525d03d15f17249f.pdf ER -