Title :
The improvement of net primary productivity estimation taking into account the heterogeneity of Sahelian region
Author :
Cherchali, S. ; Amram, O. ; Flouzat, G.
Author_Institution :
CESBIO, CNES, Toulouse, France
Abstract :
The inversion of linear mixture modelling enables the retrieval of temporal profiles of reflectances (in visible and near infrared) for each type of vegetation from NOAA-AVHRR data. These reflectances are used to estimate the net primary productivity (NPP) for the millet, fallow and savannas
Keywords :
agriculture; geophysical techniques; remote sensing; Africa; IR imaging; NOAA AVHRR; Sahara desert edge; Sahel; Sahelian region; agriculture; arid area; fallow; geophysical measurement technique; grain crop; grass; heterogeneity; linear mixture modelling; millet; model inversion; near infrared; net primary productivity; reflectance; satellite remote sensing; savanna; semiarid zone; temporal profile; vegetation mapping; visible; Biological system modeling; Image resolution; Information retrieval; Monitoring; Pixel; Productivity; Radiometry; Satellite broadcasting; Spatial resolution; Uninterruptible power systems; Vegetation; Vegetation mapping;
Conference_Titel :
Geoscience and Remote Sensing Symposium, 1995. IGARSS '95. 'Quantitative Remote Sensing for Science and Applications', International
Conference_Location :
Firenze
Print_ISBN :
0-7803-2567-2
DOI :
10.1109/IGARSS.1995.521711
