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Evaluation of narrowband and broadband vegetation indices for determining optimal hyperspectral wavebands for agricultural crop characterization / Prasad S. Thenkabail in Photogrammetric Engineering & Remote Sensing, PERS, vol 68 n° 6 (June 2002)  

Public [article]  inPhotogrammetric Engineering & Remote Sensing, PERS > vol 68 n° 6 (June 2002) . - pp 607 - 621 Titre : Evaluation of narrowband and broadband vegetation indices for determining optimal hyperspectral wavebands for agricultural crop characterization Type de document : Article/Communication Auteurs : Prasad S. Thenkabail, Auteur ; R.b Smith, Auteur ; E. De Pauw, Auteur Année de publication : 2002 Article en page(s) : pp 607 - 621 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique [Termes IGN] azote [Termes IGN] bande infrarouge [Termes IGN] bande spectrale [Termes IGN] bande visible [Termes IGN] blé (céréale) [Termes IGN] caractérisation [Termes IGN] cultures [Termes IGN] image Landsat-TM [Termes IGN] indice de végétation [Termes IGN] Leaf Area Index [Termes IGN] Normalized Difference Vegetation Index [Termes IGN] orge (céréale) Résumé : (Auteur) The main goal of the study was to determine optimal waveband centers and widths required to best estimate agricultural crop characteristics. The hyperspectral narrowband data was acquired over 395 to 1010 nanometers using a 1.43-nanometerwide, 430 bands, hand-held spectroradiometer. Broadband data were derived using a Landsat-5 Thematic Mapper image acquired to correspond with field spectroradiometer and ground-truth measurements. Spectral and biophysical data were obtained from 196 sample locations, including forms and rangelands, Six representative crops grown during the main cropping season were selected: barley, wheat, lentil, cumin, chickpea, and vetch. Biophysical variables consisted of leaf area index, wet biornass, dry biomass, plant height, plant nitrogen, and canopy cover. Narrowband and broadband vegetation indices were computed and their relationship with quantitative crop characteristics were established and compared. The simple narrowband two-band vegetation indices (TBVI) and the optimum multiple-band vegetation indices (OMBVI) models provided the best results. The narrowband TBVI and omBvi models are compared with six other categories of narrow and broadband indices, Compared to the best broadband Tm indices, TBvi explained up to 24 percent greater variability and OMBYI explained up to 27 percent greater variability in estimating different crop variables. A Predominant proportion of crop characteristics are best estimated using data from four narrowbands, in order of importance, centered around 675 nanometers (red absorption maxima), 905 run (near-infrared reflection peak), 720 run (mid portion of the red-edge), and 550 run (green reflectance maxima). The study determined 12 spectral bands and their bandwidths (Table 5) that provide optimal agricultural crop characteristics in the visible and near-infrared portion of the spectrum. Numéro de notice : A2002-134 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : sans En ligne : https://www.tetracam.com/PDFs/Rec_Cite2.pdf Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=22049 [article]