Assessment of Vegetation and Soil Water Regimes in Partial Canopies with Optical Remotely Sensed Data

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dc.contributor.author Huete, Alfredo en_US
dc.contributor.author Warrick, A en_US
dc.contributor.editor en_US
dc.date.accessioned 2011-02-07T06:23:39Z
dc.date.available 2011-02-07T06:23:39Z
dc.date.issued 1990 en_US
dc.identifier 2009001373 en_US
dc.identifier.citation Huete Alfredo and Warrick A 1990, 'Assessment of Vegetation and Soil Water Regimes in Partial Canopies with Optical Remotely Sensed Data', Elsevier, vol. 32, no. 2-3, pp. 155-167. en_US
dc.identifier.issn 0034-4257 en_US
dc.identifier.other C1UNSUBMIT en_US
dc.identifier.uri http://hdl.handle.net/10453/13671
dc.description.abstract The optical properties of a partially vegetated cotton field with spatially and temporally dynamic soil water conditions were analyzed with coincident aircraft and satellite data. The study was conducted at the Maricopa Agricultural Center in Arizona during June 1988. The dynamics of soil surface drying made it difficult to evaluate plant cover and assess soil condition with combined thermal, brightness, and normalized difference vegetation index (NDVI) spectral parameters as all three parameters were sensitive to the three stages of soil drying. A soil-adjusted vegetation index (SAVI) minimized both spatial and temporal variations in soil spectral behavior and was found useful in vegetation analysis and in further qualitative assessment of soil condition. Due to the complex dynamics of soil surface drying and variability in soil properties, soil water content at the surface (0 ? 5 cm) could not be determined with the Thematic Mapper moisture bands, or with the various ?wetness? indicators. en_US
dc.language en_US
dc.publisher Elsevier en_US
dc.relation.isbasedon http://dx.doi.org/10.1016/0034-4257(90)90015-E en_US
dc.title Assessment of Vegetation and Soil Water Regimes in Partial Canopies with Optical Remotely Sensed Data en_US
dc.parent Remote Sensing Of Environment en_US
dc.journal.volume 32 en_US
dc.journal.number 2-3 en_US
dc.publocation United States en_US
dc.identifier.startpage 155 en_US
dc.identifier.endpage 167 en_US
dc.cauo.name SCI.Faculty of Science en_US
dc.conference Verified OK en_US
dc.for 090900 en_US
dc.personcode 108636 en_US
dc.personcode 0000058724 en_US
dc.percentage 100 en_US
dc.classification.name Geomatic Engineering en_US
dc.classification.type FOR-08 en_US
dc.edition en_US
dc.custom en_US
dc.date.activity en_US
dc.location.activity en_US
dc.description.keywords en_US


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