Estimation of Soil Properties Using Hyperspectral VIS/IR Sensors

Huete, A

Estimation of Soil Properties Using Hyperspectral VIS/IR Sensors

Huete, A

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Publisher:: John Wiley & Sons, Ltd
Publication Type:: Chapter
Citation:: Encyclopedia of Hydrological Sciences, 2005, 1st, pp. 887 - 902
Issue Date:: 2005-01

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Field	Value	Language
dc.contributor.author	Huete, A https://orcid.org/0000-0003-2809-2376	en_US
dc.contributor.editor	Anderson, MG	en_US
dc.date.issued	2005-01	en_US
dc.identifier.citation	Encyclopedia of Hydrological Sciences, 2005, 1st, pp. 887 - 902	en_US
dc.identifier.isbn	978-0-471-49103-3	en_US
dc.identifier.uri	http://hdl.handle.net/10453/16744
dc.description.abstract	Knowledge of soil properties and processes are crucial to the understanding of the terrestrial hydrologic cycle and the functioning of terrestrial ecosystems. In this paper, we present the current state and potential of hyperspectral remote sensing techniques for quantitative retrieval of soil properties. Remote sensing is used to detect chemical and physical soil properties either (i) directly from the bare soil pixels, (ii) through advanced spectroscopy methods in mixed soil-vegetation-litter pixels, and (iii) by measurements of the overlying vegetated canopy to infer soil properties and moisture status. Optical-geometric properties of soil surfaces reveal information on soil physical features, such as soil structure, crusting, and erosion. We also investigate the use of vegetation water indices to infer soil drying and wetting in the soil root zone. We conclude with a discussion on future needs and directions for remote sensing of soil properties.	en_US
dc.publisher	John Wiley & Sons, Ltd	en_US
dc.relation.ispartof	Encyclopedia of Hydrological Sciences	en_US
dc.title	Estimation of Soil Properties Using Hyperspectral VIS/IR Sensors	en_US
dc.type	Chapter
utslib.location	New York	en_US
utslib.for	0909 Geomatic Engineering	en_US
utslib.citation.edition	1st	en_US
dc.location.activity	ISI:000257674800008
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.consider-herdc	false	en_US
pubs.edition	1st	en_US
pubs.place-of-publication	New York	en_US

Abstract:

Knowledge of soil properties and processes are crucial to the understanding of the terrestrial hydrologic cycle and the functioning of terrestrial ecosystems. In this paper, we present the current state and potential of hyperspectral remote sensing techniques for quantitative retrieval of soil properties. Remote sensing is used to detect chemical and physical soil properties either (i) directly from the bare soil pixels, (ii) through advanced spectroscopy methods in mixed soil-vegetation-litter pixels, and (iii) by measurements of the overlying vegetated canopy to infer soil properties and moisture status. Optical-geometric properties of soil surfaces reveal information on soil physical features, such as soil structure, crusting, and erosion. We also investigate the use of vegetation water indices to infer soil drying and wetting in the soil root zone. We conclude with a discussion on future needs and directions for remote sensing of soil properties.

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http://hdl.handle.net/10453/16744