By Wen-Jun Zhang
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Under the same principle, thicker leaves have lower absorption, due to increased chlorophyll content, and higher NIR reflectance, due to increased scattering (Gausman and Allen, 1973). From the vegetation spectral reflectance curve it is also apparent that plants generally reflect radiation strongly in the NIR region. The area of the sharp increase in reflectance between the red and NIR region of the spectrum is known as the ―r ed edge‖ region (Filella and Penuelas, 1994). This slope is known to be affected by the amount of chlorophyll in the leaves.
Al. 55 for the NDVI). Studying the same area, Peterson et. al. 91, by using a loglinear transformation. The Normalised Difference Vegetation Index (NDVI) has been the most commonly used index in studies of estimating LAI and the accuracy of those estimations through this index have been met with variable results. 95, in a study with corn (Gilabert et. , 1996). However, the limitations of using the NDVI for LAI estimations are quite severe. The index has been proven to be very sensitive to the contribution of soil or background vegetation at low LAI values (Baret and Guyot, 1991).
Vescovo, L. and D. Gianelle, 2009. The role of spectral resolution and classifiers complexity in the analysis of hyperspectral images of forest areas. Remote Sensing of Environment, in press. Daughtry, C. S. , Gallow, K. P. and Bauer, M. E. 1983. Spectral estimates of solar radiation intercepted by corn canopies. Agronomy Journal, 75, 27-531. H. A. 1975. Measuring production of grazing units from Landsat MSS data. W. , 1987. , 1987. Introduction to the Physics and techniques of remote Sensing, Wiley, New York, Elvidge, C.
Ecological Modeling by Wen-Jun Zhang