Title :
Vegetation parameters maps over Europe using NOAA/AVHRR in meteorological models
Author :
Champeaux, J. ; Arcos, D. ; Bazile, E. ; Giard, D. ; Noilhan, J.
Author_Institution :
CNRM, Metro-France, Toulouse, France
Abstract :
To parameterize land surface processes in atmospheric models, surface schemes use primary parameters derived from soil and vegetation maps. Vegetation cover can be inferred from radiometric properties in the visible and near infrared wavelengths. For this purpose, NOAA/AVHRR channels 1 and 2 were processed over Europe. Forests over Europe are first identified by thresholding the synthesis of visible reflectances. Then, the other classes of vegetation are obtained from an automatic clustering method based on temporal profiles of NDVI, using the maximum value composite method. Surface parameters are derived for each vegetation class. The impact of the new vegetation database has been assessed for the French forecast models
Keywords :
atmospheric boundary layer; atmospheric techniques; forestry; geophysical techniques; meteorology; remote sensing; weather forecasting; 650 nm; 850 nm; AVHRR; Europe; French forecast model; IR; NDVI; atmosphere; forest; forestry; geophysical measurement technique; infrared; land surface; land surface parameterisation; meteorological model; near infrared; numerical model; optical imaging; remote sensing; vegetation mapping; vegetation parameters map; visible; weather forecasting; weather prediction; Atmospheric modeling; Atmospheric waves; Clustering methods; Databases; Europe; Land surface; Predictive models; Radiometry; Soil; Vegetation mapping;
Conference_Titel :
Geoscience and Remote Sensing Symposium Proceedings, 1998. IGARSS '98. 1998 IEEE International
Conference_Location :
Seattle, WA
Print_ISBN :
0-7803-4403-0
DOI :
10.1109/IGARSS.1998.692459
