DocumentCode
143102
Title
Mapping and monitoring flooded vegetation and soil moisture using simulated compact polarimetry
Author
White, L. ; Landon, A. ; Dabboor, M. ; Pratt, A. ; Brisco, B.
Author_Institution
Natural Resources Canada, Ottawa, ON, Canada
fYear
2014
fDate
13-18 July 2014
Firstpage
1568
Lastpage
1571
Abstract
This paper shows that the m-chi decomposition, the Shannon-Entropy model and the Wishart-Chernoff distance can be used to map and monitor wetlands. Areas which changed from flooded vegetation to non-flooded vegetation were accurately mapped using the m-chi decomposition, and areas that changed from saturated soil to unsaturated soil were visible with the Shannon-Entropy model. In addition, the Wishart-Chernoff distance was able to map wetland areas which had changed to a different land cover type over time.
Keywords
entropy; floods; land cover; soil; vegetation mapping; Shannon entropy model; Wishart-Chernoff distance; flooded vegetation mapping; flooded vegetation monitoring; land cover type; m-chi decomposition; simulated compact polarimetry; soil moisture; Entropy; Monitoring; Polarimetry; Scattering; Soil; Synthetic aperture radar; Vegetation mapping; Wishart-Chernoff Distance; compact polarimetry; wetlands;
fLanguage
English
Publisher
ieee
Conference_Titel
Geoscience and Remote Sensing Symposium (IGARSS), 2014 IEEE International
Conference_Location
Quebec City, QC
Type
conf
DOI
10.1109/IGARSS.2014.6946739
Filename
6946739
Link To Document