DocumentCode
2206162
Title
Sensitivity analysis of compact polarimetry parameters to crop growth using simulated RADARSAT-2 SAR data
Author
Shang, Jiali ; McNairn, Heather ; Charbonneau, Francois ; Chen, Zhaohua ; Jiao, Xianfeng
Author_Institution
Agric. & Agri-Food Canada, Ottawa, ON, Canada
fYear
2012
fDate
22-27 July 2012
Firstpage
1825
Lastpage
1828
Abstract
The availability of advanced satellite radar sensors (C-band RADARSAT-2 and X-band TerraSAR-X) provides significant opportunities for timely monitoring of crop growth. Recent studies revealed that many polarimetric SAR parameters are sensitive to crop Leaf Area Index (LAI). However the reduced swath coverage of fully polarimetric SAR limits the operational application of these modes for large regional monitoring activities. Compact polarimetry mode, on the other hand, permits much larger swath coverage than fully polarimetric SAR. This study investigates the sensitivity of compact polarimetry SAR parameters to crop LAI using simulated data from RADARSAT-2 imagery collected in Canada over two growing seasons. Results revealed that compact polarimetric decomposition parameters associated with volumetric scattering are well correlated with crop LAI. This suggests that compact polarimetric SAR can be an important data source for large scale crop growth monitoring.
Keywords
crops; radar polarimetry; remote sensing by radar; sensitivity analysis; vegetation mapping; C-band satellite radar sensor; Canada; TerraSAR-X; X-band satellite radar sensor; advanced satellite radar sensors; compact polarimetry mode; compact polarimetry parameters; crop growth monitoring; crop leaf area index; growing seasons; polarimetric SAR parameters; sensitivity analysis; simulated RADARSAT-2 SAR data; swath coverage; Agriculture; Correlation; Monitoring; Polarimetry; Scattering; Sensitivity; Synthetic aperture radar; RADARSAT-2; compact polarimetry; crop LAI;
fLanguage
English
Publisher
ieee
Conference_Titel
Geoscience and Remote Sensing Symposium (IGARSS), 2012 IEEE International
Conference_Location
Munich
ISSN
2153-6996
Print_ISBN
978-1-4673-1160-1
Electronic_ISBN
2153-6996
Type
conf
DOI
10.1109/IGARSS.2012.6351156
Filename
6351156
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