P. Cayrol et al., Grassland modeling and monitoring with SPOT-4 VEGETATION instrument duringthe 1997-1999 SALSA experiment, AGR FOR MET, 105(1-3), 2000, pp. 91-115
A coupled vegetation growth and soil-vegetation-atmosphere transfer (SVAT)
model is used in conjunction with data collected in the course of the SALSA
program during the 1997-1999 growing seasons in Mexico. The objective is t
o provide insights on the interactions between grassland dynamics and water
and energy budgets. These three years exhibit drastically different precip
itation regimes and thus different vegetation growth.
The result of the coupled model showed that for the 3 years, the observed s
easonal variation of plant biomass, leaf area index (LAI) are well reproduc
ed by the model. It is also shown that the model simulations of soil moistu
re, radiative surface temperature and surface fluxes compared fairly well w
ith the observations.
Reflectance data in the red, near infrared, and short wave infrared (SWIR,
1600 nm) bands measured by the VEGETATION sensor onboard SPOT-4 were correc
ted from atmospheric and directional effects and compared to the observed b
iomass and LAI during the 1998-1999 seasons. The results of this 'ground to
satellite' approach established that the biomass and LAI are linearly rela
ted to the satellite reflectances (RED and SWIR), and to vegetation indices
(NDVI and SWVI, which is a SWIR-based NDVI). The SWIR and SWVI sensitivity
to the amount of plant tissues were similar to the classical RED and NDVI
sensitivity, for LAT ranging from 0 and 0.8 m(2) m(-2) and biomass ranging
from 0 to 120 g DM m(-2)
Finally, LAI values simulated by the vegetation model were fed into a canop
y radiative transfer scheme (a 'model to satellite' approach). Using two le
af optical properties datasets, the computed RED, NIR and SWIR reflectances
and vegetation indices (NDVI and SWVI) compared reasonably well with the V
EGETATION observations in 1998 and 1999, except for the NIR band and during
the senescence period, when the leaf optical properties present a larger u
ncertainty. We conclude that a physically-sound linkage between the vegetat
ion model and the satellite can be used for red to short wave infrared doma
in over these grasslands. These different results represent an important st
ep toward using new generation satellite data to control and validate model
's simulations at regional scale. (C) 2000 Published by Elsevier Science B.
V.