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Discrimination of Agricultural Land Management Practices using Polarimetric Synthetic Aperture RADAR

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dc.contributor.advisor Berg, Aaron McKeown, Steven 2012-08-14 2012-09-04T13:35:42Z 2013-08-14T05:00:13Z 2012-09-04
dc.description.abstract This thesis investigates the sensitivity and separability of post-harvest tillage conditions using polarimetric Synthetic Aperture RADAR in southwestern Ontario. Variables examined include: linear polarizations HH, HV, and VV and polarimetric variables: pedestal height, co-polarized complex correlation coefficient magnitude, left and right co-polarized circular polarizations and co-polarized phase difference. Six fine-quad polarimetric, high incidence angle (49°) RADARSAT-2 images acquired over three dates in fall 2010 were used. Over 100 fields were monitored, coincident with satellite overpasses. OMAFRA’s AgRI, a high-resolution polygon network was used to extract average response from fields. Discrimination between tillage practices was best later in the fall season, due to sample size and low soil moisture conditions. Variables most sensitive to tillage activities include HH and VV polarizations and co-polarized complex correlation coefficient magnitude. A supervised support vector machine (SVM) classifier classified no-till and conventional tillage with 91.5% overall accuracy. These results highlight the potential of RADARSAT-2 for monitoring tillage conditions. en_US
dc.language.iso en en_US
dc.subject Synthetic Aperture RADAR en_US
dc.subject Tillage en_US
dc.subject Image Classification en_US
dc.subject Polarimetric SAR en_US
dc.subject Agriculture en_US
dc.subject Crop Residue en_US
dc.title Discrimination of Agricultural Land Management Practices using Polarimetric Synthetic Aperture RADAR en_US
dc.type Thesis en_US Geography en_US Master of Science en_US Department of Geography en_US

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