Assessment of vegetation and soil water regimes in partial canopies with optical remotely sensed data

Huete, AR; Warrick, AW

Assessment of vegetation and soil water regimes in partial canopies with optical remotely sensed data

Huete, AR

Warrick, AW

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Publication Type:: Journal Article
Citation:: Remote Sensing of Environment, 1990, 32 (2-3), pp. 155 - 167
Issue Date:: 1990-01-01

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Field	Value	Language
dc.contributor.author	Huete, AR https://orcid.org/0000-0003-2809-2376	en_US
dc.contributor.author	Warrick, AW	en_US
dc.date.issued	1990-01-01	en_US
dc.identifier.citation	Remote Sensing of Environment, 1990, 32 (2-3), pp. 155 - 167	en_US
dc.identifier.issn	0034-4257	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. © 1990.	en_US
dc.relation.ispartof	Remote Sensing of Environment	en_US
dc.relation.isbasedon	10.1016/0034-4257(90)90015-E	en_US
dc.subject.classification	Geological & Geomatics Engineering	en_US
dc.title	Assessment of vegetation and soil water regimes in partial canopies with optical remotely sensed data	en_US
dc.type	Journal Article
utslib.citation.volume	2-3	en_US
utslib.citation.volume	32	en_US
utslib.for	0909 Geomatic Engineering	en_US
utslib.for	0406 Physical Geography and Environmental Geoscience	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Science
pubs.organisational-group	/University of Technology Sydney/Faculty of Science/School of Life Sciences
pubs.organisational-group	/University of Technology Sydney/Strength - CAMGIS - Centre for Advanced Modelling and Geospatial lnformation Systems
utslib.copyright.status	closed_access
pubs.issue	2-3	en_US
pubs.publication-status	Published	en_US
pubs.volume	32	en_US

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. © 1990.

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http://hdl.handle.net/10453/13671