Flood and Rice Damage Mapping for Tropical Storm Talas in Vietnam Using Sentinel-1 SAR Data
In the Asia–Pacific, where rice is an essential crop for food security and economic activity, tropical cyclones and consecutive floods can cause substantial damage to rice fields. Humanitarian organizations have developed impact-based forecasting models to be able to trigger early actions before flo...
Saved in:
| Main Authors: | Pepijn van Rutten, Irene Benito Lazaro, Sanne Muis, Aklilu Teklesadik, Marc van den Homberg |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2025-06-01
|
| Series: | Remote Sensing |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2072-4292/17/13/2171 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Machine Learning-Driven Rapid Flood Mapping for Tropical Storm Imelda Using Sentinel-1 SAR Imagery
by: Reda Amer
Published: (2025-05-01) -
Flooding and child development: Evidence from Vietnam
by: My Tra Nguyen, et al.
Published: (2024-07-01) -
Detecting Flooded Areas Using Sentinel-1 SAR Imagery
by: Francisco Alonso-Sarria, et al.
Published: (2025-04-01) -
Monitoring changes in urban green spaces using Sentinel 2 data, a case study from Vietnam
by: Le Hung Trinh, et al.
Published: (2025-06-01) -
Impact of participatory guarantee systems on sustainability outcomes: the case of vegetable farming in Vietnam
by: Christian Grovermann, et al.
Published: (2024-12-01)