ABSTRACT
The NOAA-AVHRR images have been widely used for global studies dueto their low cost, suitable wavebands and high temporal resolution. Data from the AVHRR sensor (bands 1 and 2) transformed to the Normalized Difference Vegetation Index (NDVI) are the most common product used in global land cover studies. The AVHRR bands 1 and 2 data can also be transformed to the fraction images (vegetation, soil, and shade) using a linear mixing model to improve the land cover classification.
Key words:
remote sensing; vegetal cover; NOAA-AVHRR images
Thumbnail
