Title :
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
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;
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
DOI :
10.1109/IGARSS.1998.702226
