Title :
Estimation of transition function parameters to evaluate the sensitivity of vegetation indices to leaf area index in a tropical moist forest
Author :
Kalacska, M. ; Sanchez-Azofeifa, G.A. ; Rivard, B. ; Calvo-Alvarado, J.C.
Author_Institution :
Earth & Atmos. Sci. Dept., Alberta Univ., Edmonton, Alta., Canada
Abstract :
A non-linear transition function (Lorentzian cumulative function) best represented the relationship between leaf area index (LAI) and spectral vegetation indices (SVI) calculated from a Landsat ETM+ image from a tropical moist forest. The three parameters of the function (transition height, center and half-width) describe the sensitivity of the index to a range of LAI values. From the SVIs tested, the Modified Single Ratio (MSR) had best sensitivity to LAI in this environment being sensitive to changes in LAI from 0.0-4.7.
Keywords :
forestry; regression analysis; vegetation mapping; Landsat ETM; Lorentzian cumulative function; modified single ratio; nonlinear transition function; spectral vegetation indices; transition function parameters estimation; tropical moist forest; vegetation index sensitivity; Carbon dioxide; Geoscience; Global warming; Infrared imaging; Regression analysis; Remote sensing; Satellites; Strontium; Testing; Vegetation mapping;
Conference_Titel :
Advances in Techniques for Analysis of Remotely Sensed Data, 2003 IEEE Workshop on
Print_ISBN :
0-7803-8350-8
DOI :
10.1109/WARSD.2003.1295189
