Title :
A robust approach for estimating LAI from Landsat TM/ETM+ imagery
Author :
Butson, Chris ; Fernandes, Richard ; Latifovic, Rasim ; Chen, Wenjun
Author_Institution :
Prologic Consulting, Ottawa, Ont., Canada
Abstract :
Leaf area index (LAI) is a quantitative measure of vegetation cover and of use in models of carbon, water and energy budgets. The recent availability of well-calibrated coverages of Landsat ETM+ imagery over large areas offers an opportunity for production of LAI estimates at fine spatial resolution. Empirical regressions between LAI and selected vegetation indices are applied to propagate uncertainties in calibration and atmospheric correction into LAI retrieval errors. Furthermore, the sensitivity to land cover mixtures is assessed by comparing retrievals with Landsat scale land cover with a 1km land cover product. A single Canada-wide composite of LAI derived from available Landsat ETM+ imagery is produced.
Keywords :
geophysical techniques; vegetation mapping; 400 to 2500 nm; ETM+; IR; LAI; Landsat; Robust Approach; TM; atmospheric correction; calibration; empirical regression; geophysical measurement technique; high resolution; hyperspectral remote sensing; infrared; leaf area index; multispectral remote sensing; optical imagery; optical remote sensing; quantitative measure; vegetation cover; vegetation mapping; visible; Area measurement; Atmospheric modeling; Energy measurement; Production; Remote sensing; Robustness; Satellites; Spatial resolution; Uncertainty; Vegetation mapping;
Conference_Titel :
Geoscience and Remote Sensing Symposium, 2002. IGARSS '02. 2002 IEEE International
Print_ISBN :
0-7803-7536-X
DOI :
10.1109/IGARSS.2002.1026534
