Paper No. JAWRA-12-0171-P of the Journal of the American Water Resources Association (JAWRA).
Coastal Flood Inundation Monitoring with Satellite C-band and L-band Synthetic Aperture Radar Data†
Article first published online: 24 JUN 2013
© 2013 American Water Resources Association. This article is a U.S. Government work and is in the public domain in the USA
JAWRA Journal of the American Water Resources Association
Volume 49, Issue 6, pages 1239–1260, December 2013
How to Cite
2013. Coastal Flood Inundation Monitoring with Satellite C-band and L-band Synthetic Aperture Radar Data. Journal of the American Water Resources Association (JAWRA) 49(6):1239-1260. DOI: 10.1111/jawr.12082, , and ,
Discussions are open until six months from print publication.
- Issue published online: 2 DEC 2013
- Article first published online: 24 JUN 2013
- Manuscript Accepted: 27 FEB 2013
- Manuscript Received: 27 JUL 2012
- University of Alaska
- National Aeronautics & Space Administration. Grant Number: NNH08ZDA001N
- United States Federal Government. Grant Number: G11PC00013
- remote sensing;
- ENVISAT ASAR ;
- ALOS PALSAR ;
- coastal marshes;
- storm surge;
- tidal inundation
Satellite Synthetic Aperture Radar (SAR) was evaluated as a method to operationally monitor the occurrence and distribution of storm- and tidal-related flooding of spatially extensive coastal marshes within the north-central Gulf of Mexico. Maps representing the occurrence of marsh surface inundation were created from available Advanced Land Observation Satellite (ALOS) Phased Array type L-Band SAR (PALSAR) (L-band) (21 scenes with HH polarizations in Wide Beam [100 m]) data and Environmental Satellite (ENVISAT) Advanced SAR (ASAR) (C-band) data (24 scenes with VV and HH polarizations in Wide Swath [150 m]) during 2006-2009 covering 500 km of the Louisiana coastal zone. Mapping was primarily based on a decrease in backscatter between reference and target scenes, and as an extension of previous studies, the flood inundation mapping performance was assessed by the degree of correspondence between inundation mapping and inland water levels. Both PALSAR- and ASAR-based mapping at times were based on suboptimal reference scenes; however, ASAR performance seemed more sensitive to reference-scene quality and other types of scene variability. Related to water depth, PALSAR and ASAR mapping accuracies tended to be lower when water depths were shallow and increased as water levels decreased below or increased above the ground surface, but this pattern was more pronounced with ASAR. Overall, PALSAR-based inundation accuracies averaged 84% (n = 160), while ASAR-based mapping accuracies averaged 62% (n = 245).