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

Volume

2

fYear

34881

fDate

10-14 Jul1995

Firstpage

1230

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;

fLanguage

English

Publisher

ieee

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

Type

conf

DOI

10.1109/IGARSS.1995.521711

Filename

521711