Assimilation of multi-sensor and multi-temporal remote sensing data to monitor vegetation and soil: the Alpilles-ReSeDA project

Author

Prevot, L. ; Baret, F. ; Chanzy, A. ; Olioso, A. ; Wigneron, J.P. ; Autret, H. ; Baudin, F. ; Bessemoulin, P. ; Bethenod, O. ; Blamont, D. ; Blavoux, B. ; Bonnefond, J.M. ; Boubkraoui, S. ; Bouman, B.A.M. ; Braud, I. ; Bruguier, N. ; Clavet, J.C. ; Casell

Author_Institution

Inst. for Geogr., Munchen Univ., Germany

Volume

5

fYear

1998

fDate

6-10 July 1998

Firstpage

2399

Abstract

This paper presents the Alpilles-ReSeDA project, which aims at improving methods for interpreting remote sensing data for a better evaluation of soil and vegetation functioning (primary production, crop yield, energy balance and water budget). The proposed approach is based on the assimilation of remote sensing data into soil and vegetation functioning models. It emphasizes the multi-temporal, multi-spectral and multi-angular properties of space observations.

Keywords

geophysical signal processing; geophysical techniques; hydrological techniques; image sequences; moisture measurement; remote sensing; sensor fusionG.; soil; Atmospheric modeling; Biosensors; Crops; Land surface; Land surface temperature; Remote monitoring; Remote sensing; Soil; Temperature sensors; Vegetation mapping;

fLanguage

English

Publisher

ieee

Conference_Titel

Geoscience and Remote Sensing Symposium Proceedings, 1998. IGARSS '98. 1998 IEEE International

Conference_Location

Seattle, WA, USA

Print_ISBN

0-7803-4403-0

Type

conf

DOI

10.1109/IGARSS.1998.702226

Filename

702226