EXPLOITING MULTI-TEMPORAL SENTINEL-1 SAR DATA FOR FLOOD EXTEND MAPPING

20 citations as recorded by crossref.

1. Detection of Large-Scale Floods Using Google Earth Engine and Google Colab R. Johary et al. https://doi.org/10.3390/rs15225368
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3. Surface Water Mapping and Flood Monitoring in the Mekong Delta Using Sentinel-1 SAR Time Series and Otsu Threshold K. Tran et al. https://doi.org/10.3390/rs14225721
4. Flood Mapping Using Multi-temporal Sentinel-1 SAR Images: A Case Study—Inaouene Watershed from Northeast of Morocco B. Benzougagh et al. https://doi.org/10.1007/s40996-021-00683-y
5. Flood monitoring in an Giang Province, Vietnam using global flood mapper and Sentinel-1 SAR A. Afifi & A. Magdy https://doi.org/10.1080/2150704X.2024.2388846
6. Flooded area detection and mapping from Sentinel-1 imagery. Complementary approaches and comparative performance evaluation A. Toma et al. https://doi.org/10.1080/22797254.2024.2414004
7. Evaluation of C-Band SAR for Identification of Flooded Vegetation in Emergency Response Products B. Brisco et al. https://doi.org/10.1080/07038992.2019.1612236
8. Flood susceptibility mapping using Sentinel 1 and frequency ratio technique in Jinjiram River watershed, India N. Lahiri et al. https://doi.org/10.1007/s10661-023-12242-1
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11. A Survey on Global Thresholding Methods for Mapping Open Water Body Using Sentinel-2 Satellite Imagery and Normalized Difference Water Index A. Sekertekin https://doi.org/10.1007/s11831-020-09416-2
12. SAR-Based Flood Monitoring for Flatland with Frequently Fluctuating Water Surfaces: Proposal for the Normalized Backscatter Amplitude Difference Index (NoBADI) H. Nagai et al. https://doi.org/10.3390/rs13204136
13. Monitoring individual rice field flooding dynamics over a large scale to improve mosquito surveillance and control M. Randriamihaja et al. https://doi.org/10.1186/s12936-025-05344-3
14. Multi-Method Tracking of Monsoon Floods Using Sentinel-1 Imagery G. Ruzza et al. https://doi.org/10.3390/w11112289
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17. A Localized Particle Filtering Approach to Advance Flood Frequency Estimation at Large Scale Using Satellite Synthetic Aperture Radar Image Collection and Hydrodynamic Modelling M. Zingaro et al. https://doi.org/10.3390/rs16122179
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19. Sentinel-1-Based Water and Flood Mapping: Benchmarking Convolutional Neural Networks Against an Operational Rule-Based Processing Chain M. Bereczky et al. https://doi.org/10.1109/JSTARS.2022.3152127
20. A comparative analysis of urban and peri-urban flood identification using SAR imagery M. Al Mehedi et al. https://doi.org/10.1371/journal.pwat.0000269