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LANID: Landsat-based irrigation dataset for CONUS 2018-20

Dates

Start Date
2018-01-01
End Date
2020-12-31
Publication Date

Citation

Martin, D.J., Regan, R.S., Haynes, J.V., Read, A.L., Henson, W.R., Stewart, J.S., Brandt, J.T., and Niswonger, R.G., 2023, Irrigation water use reanalysis for the 2000-20 period by HUC12, month, and year for the conterminous United States: U.S. Geological Survey data release, https://doi.org/10.5066/P9YWR0OJ.

Summary

The Landsat-based Irrigation Dataset (LANID) uses a random-forest machine-learning model with greenness and vegetative indices, climate data, and crop masks to identify irrigated crops (Xie and others, 2021, Xie and Lark, 2021). Separate western US and eastern US methods are used to train and validate the model. Annual LANID maps for 2018-20 were created using the same techniques in Xie and others, 2021, and Xie and Lark, 2021.

Contacts

Point of Contact :
Donald Martin
Originator :
Donald Martin, Justin T Brandt
Metadata Contact :
Jonathan V Haynes
Publisher :
U.S. Geological Survey
Distributor :
USGS ScienceBase Team

Attached Files

Click on title to download individual files attached to this item.

lanid2018.tif 233.53 MB image/geotiff
lanid2019.tif 233.76 MB image/geotiff
lanid2020.tif 232.98 MB image/geotiff
maxIrrExt_0020.tif 240.97 MB image/geotiff

Purpose

The LANID 2018-20 annual maps were used to calculate ETa, consumptive use, and effective precipitation to produce final outputs for the dataset product: Irrigation water use reanalysis for the 2000-20 period by HUC12, month, and year for the conterminous United States. Lanid 2018-20 served to limit the extent to lands that only have irrigated crops. Maps have 30-meter resolution, and each pixel has a value of one for irrigated land and a value of zero for non-irrigated land.

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