An isoline-based translation technique of spectral vegetation index using EO-1 Hyperion data

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dc.contributor.author Yoshioka, H
dc.contributor.author Miura, T
dc.contributor.author Huete, AR
dc.date.accessioned 2010-05-28T09:43:41Z
dc.date.issued 2003-06
dc.identifier.citation IEEE Transactions on Geoscience and Remote Sensing, 2003, 41 (6 PART I), pp. 1363 - 1372
dc.identifier.issn 0196-2892
dc.identifier.other C1UNSUBMIT en_US
dc.identifier.uri http://hdl.handle.net/10453/8512
dc.description.abstract The availability of similar satellite data products from multiple sensors has focused much attention on the issue of continuity across satellite data products from past, current, and future sensors. Hyperspectral datasets acquired over a variety of land cover types are extremely useful in attempting to resolve spectral differences in the global datasets from different sensors. The datasets from the Earth Observing 1 (EO-1) Hyperion sensor are very suitable for this purpose, as is airborne hyperspectral data. In this paper, we examine the possibility of translating vegetation index (VI) data between two sensors by using imagery from the Hyperion sensor and utilizing the vegetation isoline concept. The objectives of this paper are to introduce and test a VI translation technique, focused on the spectral differences associated with sensor spectral bandpass filters. The translation of global VI datasets from one sensor to another requires a methodology applicable over various land cover types and throughout the wide ranges in VI values. To meet these requirements, a technique is proposed that utilizes adjustable translation coefficients, based on an estimation of the leaf area index value relative to a numerical canopy model. The theoretical basis of the proposed translation algorithm is explained in terms of the vegetation isoline concept. Its performance was tested through a numerical experiment with a Hyperion image, focusing on the normalized difference vegetation index (NDVI) as a representative vegetation index. The results indicate the potential of the isoline-based translation technique for stable translation throughout wide ranges of NDVI values.
dc.language eng
dc.relation.isbasedon 10.1109/TGRS.2003.813212
dc.title An isoline-based translation technique of spectral vegetation index using EO-1 Hyperion data
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 1363 en_US
dc.identifier.endpage 1372 en_US
dc.cauo.name SCI.Faculty of Science en_US
dc.conference Verified OK en_US
dc.for 0404 Geophysics
dc.personcode 108636
dc.percentage 100 en_US
dc.classification.name Geophysics 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 EO-1 Hyperion data , Earth Observing 1 data , Hyperspectral datasets , NDVI , VI data , adjustable translation coefficients , isoline-based translation technique , land cover types , normalized difference vegetation index , satellite data products , spectral differences , spectral vegetation index en_US
dc.description.keywords EO-1 Hyperion data , Earth Observing 1 data , Hyperspectral datasets , NDVI , VI data , adjustable translation coefficients , isoline-based translation technique , land cover types , normalized difference vegetation index , satellite data products , spectral differences , spectral vegetation index
dc.description.keywords Calibration
dc.description.keywords Data continuity
dc.description.keywords Vegetation index
dc.description.keywords Vegetation isoline
dc.description.keywords Calibration
dc.description.keywords Calibration
dc.description.keywords Data continuity
dc.description.keywords Data continuity
dc.description.keywords Vegetation index
dc.description.keywords Vegetation index
dc.description.keywords Vegetation isoline
dc.description.keywords Vegetation isoline
dc.description.keywords Calibration
dc.description.keywords Data continuity
dc.description.keywords Vegetation index
dc.description.keywords Vegetation isoline
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


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