Estimation of Soil Properties Using Hyperspectral VIS/IR Sensors

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Show simple item record Huete, Alfredo en_US
dc.contributor.editor M G Anderson en_US 2012-02-02T11:12:55Z 2012-02-02T11:12:55Z 2005 en_US
dc.identifier 2010001672 en_US
dc.identifier.citation Huete Alfredo 2005, 'Estimation of Soil Properties Using Hyperspectral VIS/IR Sensors', Encyclopedia of Hydrological Sciences, John Wiley & Sons, Ltd, New York en_US
dc.identifier.issn 978-0-471-49103-3 en_US
dc.identifier.other B3 en_US
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.language en_US
dc.publisher John Wiley & Sons, Ltd en_US
dc.relation.isbasedon NA en_US
dc.title Estimation of Soil Properties Using Hyperspectral VIS/IR Sensors en_US
dc.parent Encyclopedia of Hydrological Sciences en_US
dc.journal.volume en_US
dc.journal.number en_US
dc.publocation New York en_US
dc.identifier.startpage 887 en_US
dc.identifier.endpage 902 en_US SCI.Plant Functional Biology & Climate Change en_US
dc.conference Verified OK en_US
dc.for 090900 en_US
dc.personcode 108636 en_US
dc.percentage 100 en_US Geomatic Engineering en_US
dc.classification.type FOR-08 en_US
dc.edition 1st en_US
dc.custom en_US en_US
dc.location.activity en_US
dc.description.keywords NA en_US
dc.staffid 108636 en_US

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