Grassland modeling and monitoring with SPOT-4 VEGETATION instrument duringthe 1997-1999 SALSA experiment

Citation
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
Citations number
45
Categorie Soggetti
Agriculture/Agronomy
Journal title
AGRICULTURAL AND FOREST METEOROLOGY
ISSN journal
01681923 → ACNP
Volume
105
Issue
1-3
Year of publication
2000
Pages
91 - 115
Database
ISI
SICI code
0168-1923(20001120)105:1-3<91:GMAMWS>2.0.ZU;2-1
Abstract
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.