Sentinel-1-based flood mapping: a fully automated processing chain
Deutsches Zentrum für Luft- und Raumfahrt e. V. (DLR)
Abstract
This article presents an automated Sentinel-1-based processing chain designed for flood detection and monitoring in near-real-time (NRT). Since no user intervention is required at any stage of the flood mapping procedure, the processing chain allows deriving time-critical disaster information in less than 45 min after a new data set is available on the Sentinel Data Hub of the European Space Agency (ESA). Due to the systematic acquisition strategy and high repetition rate of Sentinel-1, the processing chain can be set up as a web-based service that regularly informs users about the current flood conditions in a given area of interest. The thematic accuracy of the thematic processor has been assessed for two…
Citation impact
- FWCI
- 25.91
- Percentile
- 100%
- References
- 28
Authors
4Topics & keywords
- Remote sensing
- Computer science
- Flood myth
- Data processing
- Chain (unit)
- Environmental science
- Geology
- Database
- Climate action