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Proceedings Paper

Assessing the complementarity of microwave and optical data for ecosystem modeling in arid regions
Author(s): Eric Mougin; D. Lo Seen; Pierre Louis Frison; S. Rambal
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Paper Abstract

A regional Sahelian grassland model has been designed with the objective that satellite data acquired in different regions of the electromagnetic spectrum can be used complementarily to drive the model. The evolution of the main processes and vegetation structural variables over a growing season are simulated by using standard meteorological data and a limited number of site-specific parameters. In order to analyze relationships between vegetation characteristics and satellite derived parameters, simulated vegetation variables are used as input parameters into physical models of reflectivity to compute VIS/NIR reflectances and radar backscattering coefficients. Reflectances corresponding to NOAA/AVHRR channels and NDVI profiles are simulated on a weekly basis for the entire growing season. Radar backscattering coefficients corresponding to the ERS-1 configuration are also computed. In both cases, area-weighted contributions from vegetation and bare soil are combined to compose the responses of heterogeneous surfaces. Simulated satellite data profiles are in good concordance with NOAA/AVHRR and ERS-1 wind scatterometer data. The complementarity of these two types of satellite for driving the grassland model data are then indicated.

Paper Details

Date Published: 31 January 1995
PDF: 9 pages
Proc. SPIE 2314, Multispectral and Microwave Sensing of Forestry, Hydrology, and Natural Resources, (31 January 1995); doi: 10.1117/12.200761
Show Author Affiliations
Eric Mougin, Ctr. d'Etude Spatiale des Rayonnements (France)
D. Lo Seen, Jet Propulsion Lab. (United States)
Pierre Louis Frison, Ctr. d'Etude Spatiale des Rayonnements (France)
S. Rambal, Ctr. d'Ecologie Fonctionnelle et Evolutive (France)

Published in SPIE Proceedings Vol. 2314:
Multispectral and Microwave Sensing of Forestry, Hydrology, and Natural Resources
Eric Mougin; K. Jon Ranson; James Alan Smith, Editor(s)

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