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 :
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