Multi-Temporal Flood Susceptibility Mapping Using Sentinel-1 SAR Time-Series and Machine Learning: Case Study of Sebkhet Ariana (NE Tunisia)

Urban Flood Mapping using Sentinel-1 SAR Data and Machine Learning: A Case of Maiduguri, Nigeria

Flooding is one of the most devastating hydrological hazards, resulting in significant huma

Unsupervised Mapping of Flood-prone Areas in Ghana Using Sentinel-1 Time-Series

Abstract. Flooding is one of the most persistent natural hazards in Ghana, causing recurrent damage

FEW SHOT CROP MAPPING USING TRANSFORMERS AND TRANSFER LEARNING WITH SENTINEL-2 TIME SERIES: CASE OF KAIROUAN TUNISIA

Abstract. In this paper, we present an approach to land cover mapping from Sentinel-2 (S-2) satellit

Utilizing SAR, GIS, and Deep Learning for Flood Susceptibility Mapping: A Case Study of a Flood in Mozambique

This study integrated the geographic information system, SAR data, and two deep learning techniques;

Beledweyne Flood Frequency Mapping (FFM) from Sentinel-1 SAR

Initial public release of the Beledweyne flood frequency mapping (FFM) pipeline accompanyin

Interannual comparison of historical floods through flood detection using multi-temporal Sentinel-1 SAR images, Awash River Basin, Ethiopia