Soil-dependent spectral response in a developing plant canopy

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dc.contributor.author Huete, A
dc.date.accessioned 2011-02-07T06:21:43Z
dc.date.issued 1987-01
dc.identifier.citation Agronomy Journal, 1987, 79 (1), pp. 31 - 68
dc.identifier.issn 0002-1962
dc.identifier.other C1UNSUBMIT en_US
dc.identifier.uri http://hdl.handle.net/10453/13441
dc.description.abstract Amajor problem in the use of remote sensing techniques to assess plant biomass and condition over incomplete canopies concerns the soil background contribution toward measured spectral response. An understanding of this soil signal is essential 10 better relate canopy spectra with plant properties. An interactive, plant-soil radiant flux model was developed to separate spectral variations associated with soil background from those attrlbutable to vegetation. Field measured spectra taken over It developing cotton (Gossypinm hirsutum L.) canopy with four soil types (Cumnlic Cryoboroll, Typic TorriHuvent, Ustollic Haplargid, and Typic Calciorthid) alternately inserted underneath were decomposed into soil and vegetation spectra by utilizing the model in It principal component analysis. The soil component included all radiation penetrating the canopy and inter~ acting with the underlying soil. The vegetation compOnent repre· seoted all radiation reflected directly from the plant tover with no soil interaction. The soil component was found to resemble the spectral response of green vegetation due to the scattering and trans-mittance properties of the overlying plant canopy. Results show how the soil signal mixes into various vegetation indices inhibiting reliable vegetation discrimination. The potential improvements in veg· etation analysis that can result from filtering soil background response from planHanopy spectra are also discussed.
dc.format Yes
dc.publisher American Society of Agronomy, Inc
dc.relation.isbasedon 10.2134/agronj1987.00021962007900010007x
dc.title Soil-dependent spectral response in a developing plant canopy
dc.type Journal Article
dc.parent Agronomy Journal
dc.journal.volume 1
dc.journal.volume 79
dc.journal.number 1 en_US
dc.publocation United States en_US
dc.identifier.startpage 31 en_US
dc.identifier.endpage 68 en_US
dc.cauo.name SCI.Faculty of Science en_US
dc.conference Verified OK en_US
dc.for 0703 Crop and Pasture Production
dc.personcode 108636
dc.percentage 100 en_US
dc.classification.name Crop and Pasture Production 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 Remote sensing, Principal component analysis, Cotton, G03Sypium Irirsutum L. en_US
dc.description.keywords Remote sensing, Principal component analysis, Cotton, G03Sypium Irirsutum L.
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
utslib.copyright.date 2015-04-15 12:17:09.805752+10
utslib.collection.history Uncategorised (ID: 363)
utslib.collection.history Closed (ID: 3)


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