Abstract
Remotely sensed data from satellites are very useful for the global measurement and analysis of the Earth environment and meteorogical changes. For instance, the Normalized Difference Vegetation Index (NDVI), calculated from the Advanced Very High Resolution Radiometer (AVHRR) data of NOAA satellites, has been widely used in monitoring the changes in lands covered by vegetation.
However, it is difficult to estimate the exact values and changes of the NDVI because the remotely sensed data are affected by many radiometric factors.
In the case of the elimination of these effects which were presented in the Thematic Mapper (TM) data of LANDSAT satellite, a relative correction method has already been proposed.
In our study, the method has been extended and applied to the AVHRR data, and the availability of this method for observation of vegetation changes has been discussed.
