This archive reports the land use partitioned by sub-national administrative region and year, i.e. for each year a table reports the count of each land-use class per region. Data is available as one CSV file per year in the folder "out-computedLUseStatsByRegionAndYear".
This archive contains also the set of scripts used to compute that partition (including input data download) and that can be easily modified to retrieve a partition by a different geographical level.
- This data should only be used to compute the relative ratio of each land-use class in each region. Due to several issues in projecting the data, the sum of the counts multiplied by the nominal area of each pixel (90000 sq.m) is NOT equal to the area of the region. However the shares of land uses should remain invariant to the projections and unbiased.
- By construction, land use classes are hierarchically organised. For example, to obtain land use in class "Tree cover, broadleaved, deciduous, closed to open (>15%) (class 60), one has to sum the cells in classes 60+61+62. Same for classes 10, 70, 80, 120, 150 and 200.
Land Cover Maps - v2.0.7 and v2.1.1 from the Climate Research Data Package (CRDP) http://maps.elie.ucl.ac.be/CCI/viewer/download.php (300m x 300m resolution)
- overview: https://cds.climate.copernicus.eu/cdsapp#!/dataset/satellite-land-cover?tab=overview
- documentation: https://cds.climate.copernicus.eu/cdsapp#!/dataset/satellite-land-cover?tab=doc
- manual download form: https://cds.climate.copernicus.eu/cdsapp#!/dataset/satellite-land-cover?tab=form
- api instructions: https://cds.climate.copernicus.eu/api-how-to
- archive download: http://maps.elie.ucl.ac.be/CCI/viewer/download.php
| ClassID | ClassNames |
|---|---|
| 10 | Cropland, rainfed |
| 11 | Herbaceous cover |
| 12 | Tree or shrub cover |
| 20 | Cropland, irrigated or post-flooding |
| 30 | Mosaic cropland (>50%) / natural vegetation (tree, shrub, herbaceous cover) (<50%) |
| 40 | Mosaic natural vegetation (tree, shrub, herbaceous cover) (>50%) / cropland (<50%) |
| 50 | Tree cover, broadleaved, evergreen, closed to open (>15%) |
| 60 | Tree cover, broadleaved, deciduous, closed to open (>15%) |
| 61 | Tree cover, broadleaved, deciduous, closed (>40%) |
| 62 | Tree cover, broadleaved, deciduous, open (15-40%) |
| 70 | Tree cover, needleleaved, evergreen, closed to open (>15%) |
| 71 | Tree cover, needleleaved, evergreen, closed (>40%) |
| 72 | Tree cover, needleleaved, evergreen, open (15-40%) |
| 80 | Tree cover, needleleaved, deciduous, closed to open (>15%) |
| 81 | Tree cover, needleleaved, deciduous, closed (>40%) |
| 82 | Tree cover, needleleaved, deciduous, open (15-40%) |
| 90 | Tree cover, mixed leaf type (broadleaved and needleleaved) |
| 100 | Mosaic tree and shrub (>50%) / herbaceous cover (<50%) |
| 110 | Mosaic herbaceous cover (>50%) / tree and shrub (<50%) |
| 120 | Shrubland |
| 121 | Shrubland evergreen |
| 122 | Shrubland deciduous |
| 130 | Grassland |
| 140 | Lichens and mosses |
| 150 | Sparse vegetation (tree, shrub, herbaceous cover) (<15%) |
| 151 | Sparse tree (<15%) |
| 152 | Sparse shrub (<15%) |
| 153 | Sparse herbaceous cover (<15%) |
| 160 | Tree cover, flooded, fresh or brakish water |
| 170 | Tree cover, flooded, saline water |
| 180 | Shrub or herbaceous cover, flooded, fresh/saline/brakish water |
| 190 | Urban areas |
| 200 | Bare areas |
| 201 | Consolidated bare areas |
| 202 | Unconsolidated bare areas |
| 210 | Water bodies |
GADM (https://gadm.org)
- Install the CDS API key as described on https://cds.climate.copernicus.eu/api-how-to
- Run the
runLandUsePartition.shshell script in a Linux environment (tested on Ubuntu 20.04)
- Linux OS (tested on Ubuntu 20.04)
- Python 3 and python modules
cdsapi,rasterstatsandgeopandason path - Julia 1.6 (the julia packages
PyCall,DataFrames,CSVandTableswill be automatically downloaded and installed in a local environmant by the script itself)
Antonello Lobianco. (2021). Land use partitioned by region (sub-national) and year (1992-2019) (Version v0.0.1) [Data set]. Zenodo. http://doi.org/10.5281/zenodo.4736886
The script and the partitioned data are Copyright Antonello Lobianco (2021) released under the MIT licence. Input data belong to the authoring organisations.
The development of this dataset at the Bureau d'Economie Théorique et Appliquée (BETA, Nancy) was supported by the French National Research Agency through the Laboratory of Excellence ARBRE, a part of the “Investissements d'Avenir” Program (ANR 11 – LABX-0002-01).
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