DATA PROCESSING ARCHITECTURES FOR MONITORING FLOODS USING SENTINEL-1

8 citations as recorded by crossref.

1. A Sentinel-1 Backscatter Datacube for Global Land Monitoring Applications W. Wagner et al.
2. Extraction of Information on the Flooding Extent of Agricultural Land in Henan Province Based on Multi-Source Remote Sensing Images and Google Earth Engine J. Cui et al.
3. Integrating Copernicus Satellite Products and Ground-Truthing for Documenting and Monitoring the Impact of the 2022 Extreme Floods in Pakistan on Cultural Heritage M. Khan et al.
4. Flooded area detection and mapping from Sentinel-1 imagery. Complementary approaches and comparative performance evaluation A. Toma et al.
5. Monitoring Post-Flood Recovery of Croplands Using the Integrated Sentinel-1/2 Imagery in the Yangtze-Huai River Basin M. Li et al.
6. Combining SAR and Optical Earth Observation with Hydraulic Simulation for Flood Mapping and Impact Assessment E. Psomiadis et al.
7. Characterizing the 2020 summer floods in South China and effects on croplands X. Chen et al.
8. High-Resolution Flood Monitoring Based on Advanced Statistical Modeling of Sentinel-1 Multi-Temporal Stacks R. Colacicco et al.