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TitleCompact polarimetry assessment for rice and wetland mapping with SAR
AuthorBrisco, B; Li, K; Tedford, B; Charbonneau, F; Yun, S; Murnaghan, K
SourceInternational Journal of Remote Sensing vol. 34, no. 6, 2012 p. 1949-1964, https://doi.org/10.1080/01431161.2012.730156 (Open Access)
Year2012
Alt SeriesNatural Resources Canada, Contribution Series 20180152
PublisherInforma UK Limited
Documentserial
Lang.English
Mediapaper; on-line; digital
File formatpdf
Subjectsgeophysics; surficial geology/geomorphology; Agriculture; remote sensing; satellite imagery; radar methods; wetlands; computer simulations; mapping techniques; RADARSAT-2; RADARSAT Constellation Mission (RCM); agriculture; rice; polarimetry; classification; monitoring; data processing
Illustrationssatellite imagery; location maps; flow diagrams; tables; bar graphs
ProgramInformation Extraction Procedures for Landmass Monitoring, Remote Sensing Science
Released2012 11 08
AbstractPolarimetric RADARSAT-2 data of rice and wetlands are used to simulate compact polarimetry (CP) mode data from the upcoming RADARSAT Constellation Mission (RCM). The simulated CP data are then used to evaluate the information content for rice and wetland mapping using supervised classification, and the results are compared for linear and circular polarization combinations and polarimetric decompositions from the fully polarimetric data and the simulated CP data. The results are consistent for both rice and wetlands and show that the classification accuracy increases as one goes up the polarization hierarchy. The circular polarizations produced the best classification results for the polarization combinations. This result requires further research to verify. Although the CP data did not perform as well as the fully polarimetric data, the results were better than for dual polarization, and this mode may offer the best option for rice and wetland mapping applications because of swath coverage. Note that both the compact simulations and the fully polarimetric data produced operationally suitable classification accuracies. Additional research is underway to evaluate the monitoring capability of this new CP mode. This article describes the approach used for the analyses and the classification results for both rice and wetlands.
GEOSCAN ID296927