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Titolo:
TOWARD THE DEVELOPMENT OF A MULTIDIRECTIONAL VEGETATION INDEX
Autore:
CHEHBOUNI A; KERR YH; QI J; HUETE AR; SOROOSHIAN S;
Indirizzi:
INST FRANCAIS RECH SCI DEV & COOPERAT,213 RUE LAFAYETTE F-75480 PARIS10 FRANCE LAB ETUDES & RECH & TELEDETECT SPATIALE F-31055 TOULOUSE FRANCE UNIV ARIZONA,DEPT HYDROL & WATER RESOURCES TUCSON AZ 85721 UNIV ARIZONA,DEPT SOIL & WATER SCI TUCSON AZ 85721
Titolo Testata:
Water resources research
fascicolo: 5, volume: 30, anno: 1994,
pagine: 1281 - 1286
SICI:
0043-1397(1994)30:5<1281:TTDOAM>2.0.ZU;2-A
Fonte:
ISI
Lingua:
ENG
Soggetto:
REFLECTANCE FACTOR DISTRIBUTIONS; CANOPY REFLECTANCE; SURFACES; NADIR; SOIL; SYSTEM; SAVI; RED;
Tipo documento:
Article
Natura:
Periodico
Settore Disciplinare:
Science Citation Index Expanded
Science Citation Index Expanded
Science Citation Index Expanded
Citazioni:
27
Recensione:
Indirizzi per estratti:
Citazione:
A. Chehbouni et al., "TOWARD THE DEVELOPMENT OF A MULTIDIRECTIONAL VEGETATION INDEX", Water resources research, 30(5), 1994, pp. 1281-1286

Abstract

Vegetation-related information is critical for modeling hydrological processes. Remotely sensed spectral data provide powerful means to characterize vegetation status. However, the non-Lambertian behavior of most surfaces induces a large view/Sun angle dependence. Two approachesare possible to correct such contamination. One approach consists of using directional reflectance models; the other consists of normalizing the Sun/view angle effects directly on vegetation indices that have the advantage of being less sensitive to surface anisotropy than individual reflectances. Ground-based multiple view direction/angle measurements made over a semiarid grassland canopy at the Walnut Gulch experiment watershed (Monsoon '90 experiment) were used to develop and to validate a semiempirical model to normalize the MSAVI (modified soil-adjusted vegetation index) response to a nadir, regardless of view/direction angle. We further advanced this model to account simultaneously for both Sun and view angle variations by introducing a shadow parameterization. The results showed that this model can be used to monitor thevegetation status using a single view/Sun configuration throughout the growing season. We therefore believe that we have taken a further step toward the development of a multidirectional vegetation index.

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Documento generato il 04/12/20 alle ore 06:52:10