Estimating fractional vegetation cover and leaf area index from optical remote sensing data
SVAT models parameterise the exchanges of water and energy over terrestrial surfaces at the scale of GCM grid cells. These schemes depend on the determination of a number of parameters to describe the interactions between the atmosphere, the vegetation and the soil. These parameters include surface albedo and emissivity, canopy properties, roughness length, and surface temperature. Two vegetation properties can in principle be estimated from satellite remote sensing data in the optical domain: the fractional vegetation cover and the leaf area index. These two properties, however, are not independent at the scale of observation and their simultaneous retrieval requires access to observations at a much finer resolution than that of GCM grid cells. This paper discusses the potential and limitations of optical remote sensing methods to retrieve reliable and accurate information on these two parameters.
Bibliographic Reference: Paper presented: European Geophysical Society, XXth General Assembly, Hamburg (DE), April 3-7, 1995
Availability: Available from (1) as Paper EN 38938 ORA
Record Number: 199510672 / Last updated on: 1995-07-07
Original language: en
Available languages: en