URBAN’S RIVER FLOOD ANALYSING USING SENTINEL-1 DATA CASE STUDY: (GORGANROOD, AQ’QALA)

7 citations as recorded by crossref.

1. Evaluating a new method of remote sensing for flood mapping in the urban and peri-urban areas: Applied to Addis Ababa and the Akaki catchment in Ethiopia T. Bekele et al. 10.1016/j.nhres.2022.03.001
2. Flood Impact Assessment in Koton Karfe Using Sentinel-1 Synthetic Aperture Radar (SAR) Data I. ISİAKA et al. 10.30897/ijegeo.1348753
3. Enhancing flood susceptibility modeling using multi-temporal SAR images, CHIRPS data, and hybrid machine learning algorithms M. Riazi et al. 10.1016/j.scitotenv.2023.162066
4. Identification of the critical factors in flood vulnerability assessment based on an improved DEMATEL method under uncertain environments P. Xue et al. 10.1016/j.ijdrr.2023.104217
5. Fusion of the Multisource Datasets for Flood Extent Mapping Based on Ensemble Convolutional Neural Network (CNN) Model S. Seydi et al. 10.1155/2022/2887502
6. Estimation of flood inundation in river basins of Uttar Pradesh using Sentinel 1A-SAR data on Sentinel Application Platform (SNAP) P. Gautam et al. 10.1007/s12517-024-11910-x
7. Riverine flood vulnerability assessment and zoning using geospatial data and MCDA method in Aq’Qala K. Ganji et al. 10.1016/j.ijdrr.2022.103345