Discrimination of Agricultural Land Management Practices using Polarimetric Synthetic Aperture RADAR

dc.contributor.advisorBerg, Aaron
dc.contributor.authorMcKeown, Steven
dc.date.accessioned2012-09-04T13:35:42Z
dc.date.available2013-08-14T05:00:13Z
dc.date.copyright2012-08
dc.date.created2012-08-14
dc.date.issued2012-09-04
dc.degree.departmentDepartment of Geographyen_US
dc.degree.grantorUniversity of Guelphen_US
dc.degree.nameMaster of Scienceen_US
dc.degree.programmeGeographyen_US
dc.description.abstractThis 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.identifier.urihttp://hdl.handle.net/10214/3901
dc.language.isoenen_US
dc.publisherUniversity of Guelphen_US
dc.rights.licenseAll items in the Atrium are protected by copyright with all rights reserved unless otherwise indicated.
dc.subjectSynthetic Aperture RADARen_US
dc.subjectTillageen_US
dc.subjectImage Classificationen_US
dc.subjectPolarimetric SARen_US
dc.subjectAgricultureen_US
dc.subjectCrop Residueen_US
dc.titleDiscrimination of Agricultural Land Management Practices using Polarimetric Synthetic Aperture RADARen_US
dc.typeThesisen_US

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