Remote sensing of crop biophysical parameters for site-specific agriculture

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dc.contributor.authorRabe, Nicole J.
dc.contributor.authorUniversity of Lethbridge. Faculty of Arts and Science
dc.contributor.supervisorPeddle, Derek Roland
dc.date.accessioned2007-05-12T19:24:21Z
dc.date.available2007-05-12T19:24:21Z
dc.date.issued2003
dc.degree.levelMasters
dc.descriptionxiv, 194 leaves : ill. (some col.) ; 29 cm.en
dc.description.abstractSupport for sustainable agriculture by farmers and consumers is increasing as environmental and socio-economic issues rise due to more intensive farm practices. Site-specific crop management is an important component of sutainable agriculture, within which remote sensing can play an integral role. Field and image data were acquired over a farm in Saskatchewan as part of a national research project to demonstrate the advantages of site-specific agriculture for farmers. This research involved the estimation of crop biophysical parameters from airborne hyperspectral imagery using Spectral Mixture Analysis (SMA), a relatively new sub-pixel scale image processing method that derives the fraction of sunlit canopy, soil and shadow that is contributing to a pixel's relectance. SMA of three crop types (peas, wheat and canola) performed slightly better than conventional vegetation indices in predicting leaf area index (LAI) and biomass using Probe-1 imagery acquired early in the growing season. Other potential advantages for SMA were also indentified, and it was conclude that future research is warranted to assess the full potential of SMA in a multi-temporal sense throughout the growing season.en
dc.identifier.urihttps://hdl.handle.net/10133/195
dc.language.isoen_USen
dc.publisherLethbridge, Alta. : University of Lethbridge, Faculty of Arts and Science, 2003en
dc.publisher.departmentDepartment of Geography
dc.publisher.facultyArts and Science
dc.relation.ispartofseriesThesis (University of Lethbridge. Faculty of Arts and Science)en
dc.subjectSustainable agriculture -- Remote sensingen
dc.subjectAgriculture -- Remote sensingen
dc.subjectPrecision farming -- Remote sensingen
dc.subjectAgricultural systems -- Researchen
dc.subjectDissertations, Academicen
dc.titleRemote sensing of crop biophysical parameters for site-specific agricultureen
dc.typeThesisen
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