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Land use maps under the trend, expansion, sustainability, and conservation scenarios in 2030 in the Luanhe River Basin, China by using the CLUMondo Model

Publisher
Environmental Information Data Centre
Updated
30 July 2026
Topic
Not set
Licence
Not set

Summary

Dataset contains the Land Use/Land Cover (LULC) map under four scenarios (Trend, Expansion, Sustainability, and Conservation) in 2030 in the Luanhe River Basin (LRB), China, with a resolution of 1km. The scenarios were based on different socio-economic development and environmental protection targets, local plans and policies, and the information from a stakeholders’ workshop, to explore land system evolution trajectories of the LRB and major challenges that the river basin may face in the future. The map includes nine different land use classes: 1) Extensive cropland, 2) Medium intensive cropland, 3) Intensive cropland, 4) Forest, 5) Grassland with low livestock, 6) Grassland with high livestock, 7) Water, 8) Built-up area and 9) Unused land. The land system classification is based on three main classification factors: (1) land use and cover, (2) livestock, and (3) agricultural intensity. The data was funded by UK Research and Innovation (UKRI) through the Natural Environment Research Council’s (NERC) Towards a Sustainable Earth (TaSE) programme, for the project "River basins as 'living laboratories' for achieving sustainable development goals across national and sub-national scales" (Grant no. NE/S012427/1) . Full details about this dataset can be found at https://doi.org/10.5285/a94640dc-fe21-4c38-936b-d62dfca0c952

Data links

Link Format Preview Updated
Supporting information ZIP 30/7/2026
Download the data 30/7/2026

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Additional information

Source Metadata
XML, HTML
Date added
25 July 2026
Harvest GUID
a94640dc-fe21-4c38-936b-d62dfca0c952
Extent (Latitude)
42° to 39°
Extent (Longitude)
115° to 119°
Dataset reference date (publication)
2021-07-06
Access constraints
If you reuse this data, you should cite: Xu, J., Renaud, F.G., Barrett, B. (2021). Land use maps under the trend, expansion, sustainability, and conservation scenarios in 2030 in the Luanhe River Basin, China by using the CLUMondo Model. NERC EDS Environmental Information Data Centre https://doi.org/10.5285/a94640dc-fe21-4c38-936b-d62dfca0c952
Responsible party
School of Interdisciplinary Studies, University of Glasgow (author); School of Geographical & Earth Sciences, University of Glasgow (author, pointOfContact); (publisher, owner, custodian)
ISO 19139 resource type
dataset
Metadata language
eng