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- W2242334233 abstract "Estimating agricultural water use is an issue of primary importance in the Mediterranean. At the same time, several advanced algorithms have been developed, which couple Earth Observation data in thermal, visible and near-infrared wavelengths with a few meteorological measurements to provide a close approximation to the actual water use. However, due to the detailed cropping pattern of the Greek agricultural landscape, higher resolution satellite imagery is necessary, a demand which may not be met by the available thermal infrared imagery (Landsat 5 TM and Terra/ASTER). This study investigates the contribution of ALOS AVNIR-2 images to estimate agricultural water consumption in high spatial resolution. Two methods were tested, the Surface Energy Balance Algorithm for Land and the remote sensing crop coefficient method. The results were compared against similar products derived with Terra/MODIS and Landsat TM images, used as reference. Comparisons were based on a pixel level, with a random dataset for pixel to pixel comparison and on a canal command area level, with statistical comparison of the water use estimations. Merging of the two datasets was based on the modified Brovey technique, which has the advantage of maintaining the original values, but redistributes them in a higher resolution space. Concluding, ALOS AVNIR-2 significantly underestimated agricultural water use with the crop coefficient method, but was successful in providing the element of high spatial detail to the MODIS derived result, proving to be a useful input in modelling water use of irrigated Greek basins." @default.
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- W2242334233 date "2008-11-01" @default.
- W2242334233 modified "2023-09-27" @default.
- W2242334233 title "Improving Spatial Resolution of Agricultural Water Use Estimation Using ALOS AVNIR-2 Imagery" @default.
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