The interpretation of spectral vegetation indexes

Empirical studies report several plausible correlations between transforms of spectral reflectance, called vegetation indexes, and parameters descriptive of vegetation leaf area, biomass and physiological functioning. However, most indexes can be generalized to show a derivative of surface reflectance with respect to wavelength. This derivative is a function of the optical properties of leaves and soil particles. In the case of optically dense vegetation, the spectral derivative, and thus the indexes, can be rigorously shown to be indicative of the abundance and activity of the absorbers in the leaves. Therefore, the widely used broad-band &near-infrared vegetation indexes are a measure of chlorophyll abundance and energy absorption.

[1]  H. Gausman,et al.  Interaction of Isotropic Light with a Compact Plant Leaf , 1969 .

[2]  J. A. Schell,et al.  Monitoring vegetation systems in the great plains with ERTS , 1973 .

[3]  A. J. Richardsons,et al.  DISTINGUISHING VEGETATION FROM SOIL BACKGROUND INFORMATION , 1977 .

[4]  C. Tucker.  Red and photographic infrared linear combinations for monitoring vegetation , 1979 .

[5]  R. Jackson.  Spectral indices in N-Space , 1983 .

[6]  G. Asrar,et al.  Estimating Absorbed Photosynthetic Radiation and Leaf Area Index from Spectral Reflectance in Wheat1 , 1984 .

[7]  J. Townshend,et al.  African Land-Cover Classification Using Satellite Data , 1985, Science.

[8]  A F Goetz,et al.  Imaging Spectrometry for Earth Remote Sensing , 1985, Science.

[9]  Piers J. Sellers,et al.  The first International Satellite Land Surface Climatology Project (ISLSCP) Field Experiment - FIFE , 1992 .

[10]  B. Holben.  Characteristics of maximum-value composite images from temporal AVHRR data , 1986 .

[11]  C. J. Tucker,et al.  Relationship between atmospheric CO2 variations and a satellite-derived vegetation index , 1986, Nature.

[12]  L. Grant.  Diffuse and specular characteristics of leaf reflectance , 1987 .

[13]  A. Huete.  A soil-adjusted vegetation index (SAVI) , 1988 .

[14]  C. Wessman,et al.  Remote sensing of canopy chemistry and nitrogen cycling in temperate forest ecosystems , 1988, Nature.

[15]  J. D. Dulk.  The interpretation of remote sensing : a feasibility study , 1989 .

[16]  R. Dickinson,et al.  A physical model for predicting bidirectional reflectances over bare soil , 1989 .

[17]  J. Clevers.  Application of a weighted infrared-red vegetation index for estimating leaf Area Index by Correcting for Soil Moisture , 1989 .

[18]  R. Myneni,et al.  Radiative transfer in three dimensional leaf canopies , 1990 .

[19]  F. Baret,et al.  PROSPECT: A model of leaf optical properties spectra , 1990 .

[20]  F. Baret,et al.  Potentials and limits of vegetation indices for LAI and APAR assessment , 1991 .

[21]  C. Field,et al.  A reanalysis using improved leaf models and a new canopy integration scheme , 1992 .

[22]  F. Baret,et al.  Modeling Spectral and Bidirectional Soil Reflectance , 1992 .

[23]  Didier Tanré,et al.  Atmospherically resistant vegetation index (ARVI) for EOS-MODIS , 1992, IEEE Trans. Geosci. Remote. Sens..

[24]  Piers J. Sellers,et al.  Remote sensing of the land biosphere and biogeochemistry in the EOS era: science priorities, methods and implementation—EOS land biosphere and biogeochemical cycles panels , 1993 .

[25]  Claus Buschmann,et al.  In vivo spectroscopy and internal optics of leaves as basis for remote sensing of vegetation , 1993 .