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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In this paper we present a new dataset of grid cell level spatially explicit carbon harmonized with land types in a global Multisector Dynamics Model. This dataset can be used to define an initial condition of terrestrial carbon in MSD models. Our harmonized dataset presents carbon values for 3 pools (topsoil, above ground biomass and below ground biomass) for six statistical states across land use types. Our dataset is available at a pixel level (5 arcmin) and aggregated to 699 land regions.
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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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