Title :
Linear mixture modelling applied to AVHRR data for monitoring vegetation
Author :
Cherchali, S. ; Flouzat, G.
Author_Institution :
Centre d´´Etude Spatiale des Rayonnements, Toulouse, France
Abstract :
A linear mixing model was applied to coarse spatial resolution data from the NOAA Advanced Very High Resolution Radiometer. The two reflective channels 0.58-0.68 μm and 0.725-1.1 μm were used to run a least mean squares to generate the radiometric information needed to calculate the contribution of each cover type present in the coarse resolution signal and so to plot their temporal profile of NDVI for a complex area in Burkina-Faso.
Keywords :
forestry; geophysical techniques; infrared imaging; remote sensing; 500 to 1100 nm; AVHRR; Advanced Very High Resolution Radiometer; Burkina-Faso; IR visible infrared; NDVI; NOAA; coarse spatial resolution data; cover type; equatorial Africa; geophysical measurement technique; least mean squares; linear mixing model; linear mixture model; optical imaging; reflective channel; remote sensing; tropical region; vegetation mapping; Ecosystems; Layout; Monitoring; Physics; Radiometry; Satellite broadcasting; Signal generators; Signal resolution; Spatial resolution; Vegetation; Vegetation mapping;
Conference_Titel :
Geoscience and Remote Sensing Symposium, 1994. IGARSS '94. Surface and Atmospheric Remote Sensing: Technologies, Data Analysis and Interpretation., International
Print_ISBN :
0-7803-1497-2
DOI :
10.1109/IGARSS.1994.399395
