Earth Observation (EO) based Approaches for Developing Flood Risk Products to Support Mitigation and Response Activities: A Demonstration Study for Vadodara, India
Author:
Affiliation:
1. ImageCat, Inc.
2. University of Alabama in Huntsville, National Aeronautics and Space Administration (NASA)
3. Oak Ridge National Laboratory
4. University of Colorado at Boulder
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9883023/9883024/09883432.pdf?arnumber=9883432
Reference6 articles.
1. Urban flood mapping with an active self-learning convolutional neural network based on TerraSAR-X intensity and interferometric coherence
2. INTEGRATED MODEL OF MODELS FOR GLOBAL FLOOD ALERTING
3. Operational Flood Mapping Using Multi-Temporal Sentinel-1 SAR Images: A Case Study from Bangladesh
4. DisasterAWARE – A GLOBAL ALERTING PLATFORM FOR FLOOD EVENTS
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