THE EFFECTS OF HIGHER-ORDER RESAMPLING ON AVHRR DATA

Before using remotely-sensed data for any scientific research, the data have to pass through several stages of pre-processing such as navigation and registration, rectification, replacement of dropouts and primary calibration. It is necessary to know the effects of these pre-processing operations on the information content in the raw data. In this article the effects of higher-order resampling methods on AVHRR data are analysed and discussed. An exemplar taken from Normalised Difference Vegetation Index (NDVI) data sets derived from NOAA AVHRR data is presented to show the possible artefacts introduced by higher-order resampling strategies.