Verification Datasets of Irrigation Status of Agricultural Lands in Select Areas of Montana, 2019 and 2020
Dates
Begin Position
2019-07-22
End Position
2020-09-03
Publication Date
2023-03-16
Citation
Dutton, D.M., 2023, Verification Datasets of Irrigation Status of Agricultural Lands in Select Areas of Montana: U.S. Geological Survey data release, https://doi.org/10.5066/P9G68MQI.
Summary
In 2015, agricultural irrigation withdrawals accounted for about 42 percent of the total freshwater withdrawals in the United States (Dieter and others, 2018). Consistent and accurate designations of irrigated agricultural lands, irrigation system type, conveyance systems, and water source (groundwater or surface water) are essential for the determination of irrigation water use and ultimately the sound management of our nation’s water resources. Several local, state, and federal agencies compile data (crops, irrigation, irrigation system type, etc.) that can be used to estimate irrigation withdrawals for agricultural. The format of these data varies from data tables, typically compiled at the county level, to spatial Geographic Information [...]
Summary
In 2015, agricultural irrigation withdrawals accounted for about 42 percent of the total freshwater withdrawals in the United States (Dieter and others, 2018). Consistent and accurate designations of irrigated agricultural lands, irrigation system type, conveyance systems, and water source (groundwater or surface water) are essential for the determination of irrigation water use and ultimately the sound management of our nation’s water resources.
Several local, state, and federal agencies compile data (crops, irrigation, irrigation system type, etc.) that can be used to estimate irrigation withdrawals for agricultural. The format of these data varies from data tables, typically compiled at the county level, to spatial Geographic Information System (GIS) polygon layers of agricultural lands. These data sources are often incomplete, out of date, or inconsistently compiled.
The USGS and the University of Wisconsin-Madison developed annual Landsat-based Irrigation Dataset (LANID), which consists of irrigation maps, derivative products, and manually collected ground reference data covering the conterminous US (CONUS) for the period of 1997–2017 (Xie and Lark, 2021a). These maps were developed using verified irrigated-lands GIS datasets (i.e. training data) coupled with remotely-sensed, 30-meter resolution Landsat-derived data. The current and future availability of verified field-level data is required to train and validate this and other models.
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Purpose
Digital datasets (GIS polygon layer) of verified irrigated or non-irrigated lands are needed for modeling efforts throughout the United States. Reliable datasets of the temporal and spatial extent of irrigated lands are necessary to more accurately calculate irrigation water use. Standardized data-collection methodology, data requirements, data definitions, and digital products (shapefiles) at the national level are essential to provide consistent and reliable data.
