Estimation of Soil Properties Using Hyperspectral VIS/IR Sensors

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Show simple item record Huete, A
dc.contributor.editor Anderson, MG 2012-02-02T11:12:55Z 2005-01
dc.identifier.citation Encyclopedia of Hydrological Sciences, 2005, 1st, pp. 887 - 902
dc.identifier.isbn 978-0-471-49103-3
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.
dc.format Scott McWhirter
dc.publisher John Wiley & Sons, Ltd
dc.title Estimation of Soil Properties Using Hyperspectral VIS/IR Sensors
dc.type Chapter
dc.parent Encyclopedia of Hydrological Sciences
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 0909 Geomatic Engineering
dc.personcode 108636
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.location.activity ISI:000257674800008
dc.description.keywords NA en_US
dc.description.keywords Bayesian modelling
dc.description.keywords calibration
dc.description.keywords hierarchical modelling
dc.description.keywords Markov chain Monte Carlo methods
dc.description.keywords photometric red shifts
pubs.embargo.period Not known
pubs.organisational-group /University of Technology Sydney
pubs.organisational-group /University of Technology Sydney/Faculty of Science
pubs.organisational-group /University of Technology Sydney/Strength - C3
utslib.copyright.status Closed Access 2015-04-15 12:17:09.805752+10
utslib.collection.history Closed (ID: 3)

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