THE EFFECTS OF HIGHER-ORDER RESAMPLING ON AVHRR DATA

Before using remotely-sensed data for any scientific research, the dat a have to pass through several stages of pre-processing such as naviga tion and registration, rectification, replacement of dropouts and prim ary calibration. It is necessary to know the effects of these pre-proc essing operations on the information content in the raw data. In this article the effects of higher-order resampling methods on AVHRR data a re analysed and discussed. An exemplar taken from Normalised Differenc e Vegetation Index (NDVI) data sets derived from NOAA AVHRR data is pr esented to show the possible artefacts introduced by higher-order resa mpling strategies.