Title
Land Use Land Cover Change (2050, Scenario A0)
License
Creative Commons Attribution Non Commercial No Derivatives 4.0 International (CC BY-NC-ND 4.0)
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Abstract

To simulate future land use and land cover changes (A0 scenario - business as usual) (land_2050_A0) we applied the Cellular Automata (in the Environmental system modelling platform Dinamica EGO 5.0) using a set of drivers of drivers of change (see dataset below) and land use data (1990 and 2018).

Publication Date
Type
Raster Data
Keywords
Drivers of Change , Future , Scenario
Category
Drivers of Change
Drivers of Change
Regions
Lithuania
Owner
More info
-
Maintenance Frequency
There Are No Plans To Update The Data
Restrictions
All restrictions and limitations are applied based on Creative Commons (CC BY 4.0) licencing policy.
Language
English
Data Quality
Datasets: Population density (OSP, 2020) Dwellings density (OSP, 2020) Farms density (OSP, 2020) Utilised agricultural area density (OSP, 2020) Distance to main roads https://www.registrucentras.lt/ Distance to urban areas (EEA, 2018) Distance to building areas https://www.registrucentras.lt/ Distance to coastline (EEA, 2018) Slope https://land.copernicus.eu/ Land fragmentation (EEA, 2018) Protected areas https://vstt.lrv.lt/ National parks https://vstt.lrv.lt/ References: EEA, 2018. Corine Land Cover [WWW Document]. URL https://land.copernicus.eu/pan-european/corine-land-cover/clc2018 Gomes, E., Inácio, M., Bogdzevič, K., Kalinauskas, M., Karnauskaitė, D., Pereira, P., 2021. Future scenarios impact on land use change and habitat quality in Lithuania. Environ. Res. 197, 111101. https://doi.org/https://doi.org/10.1016/j.envres.2021.111101 OSP, 2020. Official Statistics Portal [WWW Document]. URL https://osp.stat.gov.lt/.
Supplemental Information

No information provided

Spatial Representation Type
grid data is used to represent geographic data

Layer WMS GetCapabilities document

Attribute Name Label Description
PALETTE_INDEX

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