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Remote sensing of crop biophysical parameters for site-specific agriculture

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dc.contributor.advisor Peddle, Derek
dc.contributor.author Rabe, Nicole J.
dc.contributor.author University of Lethbridge. Faculty of Arts and Science
dc.date.accessioned 2007-05-12T19:24:21Z
dc.date.available 2007-05-12T19:24:21Z
dc.date.issued 2003
dc.identifier.uri http://hdl.handle.net/10133/195
dc.description xiv, 194 leaves : ill. (some col.) ; 29 cm. en
dc.description.abstract Support 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.language.iso en_US en
dc.publisher Lethbridge, Alta. : University of Lethbridge, Faculty of Arts and Science, 2003 en
dc.relation.ispartofseries Thesis (University of Lethbridge. Faculty of Arts and Science) en
dc.subject Sustainable agriculture -- Remote sensing en
dc.subject Agriculture -- Remote sensing en
dc.subject Precision farming -- Remote sensing en
dc.subject Agricultural systems -- Research en
dc.subject Dissertations, Academic en
dc.title Remote sensing of crop biophysical parameters for site-specific agriculture en
dc.type Thesis en
dc.publisher.faculty Arts and Science
dc.publisher.department Department of Geography

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