Flood Detection in Complex Surface Mining Areas Using Satellite Data for Sustainable Management
Author:
Affiliation:
1. Department of Mining Engineering and Closure Planning, Public Power Corporation of Greece, 104 32 Athens, Greece
2. Department of Mineral Resources Engineering, University of Western Macedonia, 501 00 Kozani, Greece
Publisher
MDPI
Link
https://www.mdpi.com/2673-4605/15/1/1/pdf
Reference11 articles.
1. World Health Organisation (2023, April 04). Floods, Available online: https://www.who.int/health-topics/floods#tab=tab_1.
2. Development of a Method for Flood Detection Based on Sentinel-1 Images and Classifier Algorithms;Sharifi;Water Environ. J.,2021
3. Tran, K.H., Menenti, M., and Jia, L. (2022). Surface Water Mapping and Flood Monitoring in the Mekong Delta Using Sentinel-1 SAR Time Series and Otsu Threshold. Remote Sens., 14.
4. Pham-Duc, B., Prigent, C., and Aires, F. (2017). Surface Water Monitoring within Cambodia and the Vietnamese Mekong Delta over a Year, with Sentinel-1 SAR Observations. Water, 9.
5. Automatic Detection of Surface-Water Bodies from Sentinel-1 Images for Effective Mosquito Larvae Control;Ovakoglou;J. Appl. Remote Sens.,2021
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