About this Environmental Science article

Estimating fractional cover of photosynthetic vegetation, non-photosynthetic vegetation and bare soil in the Australian tropical savanna region upscaling the EO-1 Hyperion and MODIS sensors by Juan Pablo Guerschman; Michael J. Hill; Luigi J. Renzullo; Damian J. Barrett; Alan S. Marks; Elizabeth J. Botha is a Environmental Science article available to read on EtoBox.

Quantitative estimation of fractional cover of photosynthetic vegetation (f PV ), non-photosynthetic vegetation (f NPV ) and bare soil (f BS ) is critical for natural resource management and for modeling carbon dynamics. Accurate estimation of fractional cover is especially important for monitoring and modeling savanna systems, subject to highly seasonal rainfall and drought, grazing by domestic and native animals, and frequent burning. This paper describes a method for resolving f PV , f NPV and f BS across the ~2 million km 2 Australian tropical savanna zone with hyperspectral and multispectral imagery. A spectral library compiled from field campaigns in 2005 and 2006, together with three EO-1 Hyperion scenes acquired during the 2005 growing season were used to explore the spectral response space for f PV , f NPV and f BS . A linear unmixing approach was developed using the Normalized Difference Vegetation Index (NDVI) and the Cellulose Absorption Index (CAI). Translation of this approach to MODerate resolution Imaging Spectroradiometer (MODIS) scale was assessed by comparing multiple linear regression models of NDVI and CAI with a range of indices based on the seven MODIS bands

Author

Juan Pablo Guerschman; Michael J. Hill; Luigi J. Renzullo; Damian J. Barrett; Alan S. Marks; Elizabeth J. Botha

Publisher

Elsevier Science; Elsevier ; Elsevier BV (ISSN 0034-4257)

Published

2009

Language

EN

Field

Environmental Science (Physical Sciences)