Land cover conversion and degradation analyses through coupled soil-plant biophysical parameters derived from hyperspectral EO-1 Hyperion

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Show simple item record Huete, AR Miura, T Gao, X 2010-05-28T09:43:51Z 2003-06
dc.identifier.citation IEEE Transactions on Geoscience and Remote Sensing, 2003, 41 (6 PART I), pp. 1268 - 1276
dc.identifier.issn 0196-2892
dc.identifier.other C1UNSUBMIT en_US
dc.description.abstract Land degradation in semiarid areas results from various factors, including climate variations and human activity, and can lead to desertification. The process of degradation results in simultaneous and complex variations of many interrelated soil and vegetation biophysical parameters, rendering it difficult to develop simple and robust remote sensing mapping and monitoring approaches. In this study, we tested the use of Earth Observing 1 (EO-1) Hyperion hyperspectral data to analyze land degradation patterns within the protected Ñacuñán Biosphere Reserve and surrounding areas in the Monte Desert region of Argentina. The floristically diverse vegetation communities included mesquite forest (algarrobal), creosotebush (jarillal), sand-dune (medanal), and severely degraded (peladal) sites. Various optical measures of land degradation were employed, including vegetation indexes, spectral derivatives, albedo, and spectral mixture analysis. Spectral mixture analysis provided the best characterization of the unstable and spatially variable landscape encountered at the Ñacuñán Biosphere Reserve. Spectral unmixing provided simultaneous measures of green vegetation, nonphotosynthetic vegetation, and soil, all of which were deemed essential in characterizing land degradation. In conjunction with multitemporal data from the more commonly employed broadband sensors, hyperspectral data can provide a powerful methodology toward understanding environmental degradation.
dc.language eng
dc.relation.isbasedon 10.1109/TGRS.2003.813209
dc.title Land cover conversion and degradation analyses through coupled soil-plant biophysical parameters derived from hyperspectral EO-1 Hyperion
dc.type Journal Article
dc.parent IEEE Transactions on Geoscience and Remote Sensing
dc.journal.volume 6 PART I
dc.journal.volume 41
dc.journal.number 6 en_US
dc.publocation United States en_US
dc.identifier.startpage 1268 en_US
dc.identifier.endpage 1276 en_US SCI.Faculty of Science en_US
dc.conference Verified OK en_US
dc.for 0404 Geophysics
dc.personcode 108636
dc.percentage 100 en_US Geophysics en_US
dc.classification.type FOR-08 en_US
dc.edition en_US
dc.custom en_US en_US
dc.location.activity en_US
dc.description.keywords Hyperspectral
dc.description.keywords Land degradation
dc.description.keywords Mixture models
dc.description.keywords Vegetation indexes
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
pubs.consider-herdc false
utslib.collection.history Closed (ID: 3)

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