Articles | Volume 13, issue 12
https://doi.org/10.5194/essd-13-5689-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/essd-13-5689-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Landsat-based Irrigation Dataset (LANID): 30 m resolution maps of irrigation distribution, frequency, and change for the US, 1997–2017
Nelson Institute Center for Sustainability and the Global Environment (SAGE), University of Wisconsin-Madison, Madison, 53726, USA
DOE Great Lakes Bioenergy Research Center, University of Wisconsin-Madison, Madison, 53726, USA
Holly K. Gibbs
Nelson Institute Center for Sustainability and the Global Environment (SAGE), University of Wisconsin-Madison, Madison, 53726, USA
DOE Great Lakes Bioenergy Research Center, University of Wisconsin-Madison, Madison, 53726, USA
Department of Geography, University of Wisconsin-Madison, Madison, 53706, USA
Tyler J. Lark
Nelson Institute Center for Sustainability and the Global Environment (SAGE), University of Wisconsin-Madison, Madison, 53726, USA
DOE Great Lakes Bioenergy Research Center, University of Wisconsin-Madison, Madison, 53726, USA
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35 citations as recorded by crossref.
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- IrriMap_CN: Annual irrigation maps across China in 2000–2019 based on satellite observations, environmental variables, and machine learning C. Zhang et al. 10.1016/j.rse.2022.113184
- Cropland abandonment between 1986 and 2018 across the United States: spatiotemporal patterns and current land uses Y. Xie et al. 10.1088/1748-9326/ad2d12
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- Multi-model ensemble mapping of irrigated areas using remote sensing, machine learning, and ground truth data M. Akbar et al. 10.1016/j.agwat.2025.109416
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- Comparative evaluation of the accuracy of mapping irrigated areas using sentinel 1 images in the Bilate and Gumara watersheds, Ethiopia A. Yimer et al. 10.1080/23311916.2024.2357728
- Identifying irrigated areas using land surface temperature and hydrological modelling: application to the Rhine basin D. Purnamasari et al. 10.5194/hess-29-1483-2025
- A global open-source dataset of monthly irrigated and rainfed cropped areas (MIRCA-OS) for the 21st century E. Kebede et al. 10.1038/s41597-024-04313-w
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- Half of twenty-first century global irrigation expansion has been in water-stressed regions P. Mehta et al. 10.1038/s44221-024-00206-9
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- HarvestGRID: high-resolution harvested crop areas of the United States from 1981 to 2019 G. Lamsal & L. Marston 10.1088/2976-601X/ad96bf
- The first fine-resolution mapping of contour-levee irrigation using deep Bi-Stream convolutional neural networks L. Liang et al. 10.1016/j.jag.2021.102631
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Latest update: 08 May 2025
Short summary
We created 30 m resolution annual irrigation maps covering the conterminous US for the period of 1997–2017, together with derivative products and ground reference data. The products have several improvements over other data, including field-level details of change and frequency, an annual time step, a collection of ~ 10 000 ground reference locations for the eastern US, and improved mapping accuracy of over 90 %, especially in the east compared to others of 50 % to 80 %.
We created 30 m resolution annual irrigation maps covering the conterminous US for the period of...
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