An Isoline-Based Translation Technique of Spectral Vegetation Index Using EO-1 Hyperion Data

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Show simple item record Yoshioka, Hiroki en_US Miura, Tomoaki en_US Huete, Alfredo en_US
dc.contributor.editor en_US 2010-05-28T09:43:41Z 2010-05-28T09:43:41Z 2003 en_US
dc.identifier 2009001134 en_US
dc.identifier.citation Yoshioka Hiroki, Miura Tomoaki, and Huete Alfredo 2003, 'An Isoline-Based Translation Technique of Spectral Vegetation Index Using EO-1 Hyperion Data', IEEE, vol. 41, no. 6, pp. 1363-1372. en_US
dc.identifier.issn 0196-2892 en_US
dc.identifier.other C1UNSUBMIT en_US
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. en_US
dc.language en_US
dc.publisher IEEE en_US
dc.relation.isbasedon en_US
dc.title An Isoline-Based Translation Technique of Spectral Vegetation Index Using EO-1 Hyperion Data en_US
dc.parent IEEE Transactions on Geoscience and Remote Sensing en_US
dc.journal.volume 41 en_US
dc.journal.number 6 en_US
dc.publocation United States en_US
dc.identifier.startpage 1363 en_US
dc.identifier.endpage 1372 en_US SCI.Faculty of Science en_US
dc.conference Verified OK en_US
dc.for 040400 en_US
dc.personcode 0000058681 en_US
dc.personcode 0000058680 en_US
dc.personcode 108636 en_US
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 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.staffid 108636 en_US

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