ABSTRACT
Satellite remote sensing can be used to update information on cropped area and crop patterns, in order to evaluate the status and trends in food production. As competition for water increases, it becomes increasingly important to monitor irrigated cropping. With multiple-season cropping and enterprise diversification, remote-sensing analysis requires multiple images collected at different stages through individual crop seasons through the year. However, multitemporal analysis of high-resolution imagery, such as Système Pour l’Observation de la Terre (SPOT) and Landsat, is expensive for large-scale studies and encounters difficulties in obtaining sufficient coverage due to cloud contamination. Therefore, considerable attention has been paid to the analysis of free public domain time-series imagery, such as National Oceanic and Atmospheric Administration/Advanced Very High Resolution Radiometer
(NOAA/AVHRR), Moderate Resolution Imaging Spectroradiometer (MODIS), and SPOT Variable Geometry Turbocharger (VGT) data [1-3].
