Monitoring and Mapping Floods and Floodable Areas in the Mekong Delta (Vietnam) Using Time-Series Sentinel-1 Images, Convolutional Neural Network, Multi-Layer Perceptron, and Random Forest
The annual flood cycle of the Mekong Basin in Vietnam plays an important role in the hydrological balance of its delta. In this study, we explore the potential of the C-band of Sentinel-1 SAR time series dual-polarization (VV/VH) data for mapping, detecting and monitoring the flooded and flood-prone...
| Hlavní autoři: | , , |
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| Médium: | Článek |
| Jazyk: | English |
| Vydáno: |
MDPI AG
2023-04-01
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| Edice: | Remote Sensing |
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| On-line přístup: | https://www.mdpi.com/2072-4292/15/8/2001 |