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• W4313509068 abstract "The monitoring of irrigated areas still represents a complex and laborious challenge in land use classification. The extent and location of irrigated areas vary in both methodology and scale. One major reason for discrepancies is the choice of spatial resolution. This study evaluates the influence of spatial resolution on the mapped extent and spatial patterns of irrigation using an NDVI threshold approach with Sentinel-2 and operational PROBA-V data. The influence of resolution on irrigation mapping was analyzed in the USA, China and Sudan to cover a broad range of agricultural systems by comparing results from original 10 m Sentinel-2 data with mapped coarser results at 20 m, 40 m, 60 m, 100 m, 300 m, 600 m and 1000 m and with results from PROBA-V. While the mapped irrigated area in China is constant independent of resolution, it decreases in Sudan (−29%) and the USA (−48%). The differences in the mapping result can largely be explained by the spatial arrangement of the irrigated pixels at a fine resolution. The calculation of landscape metrics in the three regions shows that the Landscape Shape Index (LSI) can explain the loss of irrigated area from 10 m to 300 m (r > 0.9)." @default.
• W4313509068 created "2023-01-06" @default.
• W4313509068 creator A5007301729 @default.
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• W4313509068 date "2023-01-05" @default.
• W4313509068 modified "2023-10-18" @default.
• W4313509068 title "Irrigation Mapping at Different Spatial Scales: Areal Change with Resolution Explained by Landscape Metrics" @default.
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• W4313509068 doi "https://doi.org/10.3390/rs15020315" @default.
• W4313509068 hasPublicationYear "2023" @default.
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