| snippet:
|
IrrMapper Irrigated Lands, Version 1.2. 2021-2025. Cell values: 0 non-irrigated; 1 irrigated. Ketchum, D.; Jencso, K.; Maneta, M.P.; Melton, F.; Jones, M.O.; Huntington, J. IrrMapper: A Machine Learning Approach for High Resolution Mapping of Irrigated Agriculture Across the Western U.S., Remote Sens. 2020, 12, 2328. doi:10.3390/rs12142328 Ketchum, D., Hoylman, Z.H., Huntington, J. et al. Irrigation intensification impacts sustainability of streamflow in the Western United States. Commun Earth Environ 4, 479 (2023). doi:10.1038/s43247-023-01152-2 |
| summary:
|
IrrMapper Irrigated Lands, Version 1.2. 2021-2025. Cell values: 0 non-irrigated; 1 irrigated. Ketchum, D.; Jencso, K.; Maneta, M.P.; Melton, F.; Jones, M.O.; Huntington, J. IrrMapper: A Machine Learning Approach for High Resolution Mapping of Irrigated Agriculture Across the Western U.S., Remote Sens. 2020, 12, 2328. doi:10.3390/rs12142328 Ketchum, D., Hoylman, Z.H., Huntington, J. et al. Irrigation intensification impacts sustainability of streamflow in the Western United States. Commun Earth Environ 4, 479 (2023). doi:10.1038/s43247-023-01152-2 |
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Portland State University |
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487348.24853108835 |
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["ArcGIS Server","Data","Image Service","Service"] |
| description:
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Public |
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| title:
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IrrMapper_recent_5_years |
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Image Service |
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https://webservices.geog.pdx.edu/arcgis/ |
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["IrrMapper","Irrigated lands","BAGIS","bagisYearStart:2021","bagisYearEnd:2025"] |
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en-US |
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IrrMapper_recent_5_years |
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1.5595143952994827E7 |
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NAD_1983_2011_USA_Contiguous_Albers_Equal_Area_Conic_USGS_version |