Potential distribution of biomes (Potential Natural Vegetation) at 250 m spatial resolution
Description
Potential distribution of biomes (Potential Natural Vegetation) at 250 m spatial resolution based on the BIOME 6000 data set (8057 modern pollen-based site reconstructions). Predicted at 250 m using Ensemble Machine Learning and relief and climate variables representing the climate for the last 20+ years. Processing steps are described in detail here. Maps with "_sd_" contain estimated model errors per class. Antartica is not included.
- Hengl T, Walsh MG, Sanderman J, Wheeler I, Harrison SP, Prentice IC. 2018. Global mapping of potential natural vegetation: an assessment of machine learning algorithms for estimating land potential. PeerJ 6:e5457 https://doi.org/10.7717/peerj.5457
To access and visualize maps use: OpenLandMap.org
If you discover a bug, artifact or inconsistency in the LandGIS maps, or if you have a question please use some of the following channels:
- Technical issues and questions about the code: https://github.com/envirometrix/PNVmaps/issues
- General questions and comments: https://disqus.com/home/forums/landgis/
All files internally compressed using "COMPRESS=DEFLATE" creation option in GDAL. File naming convention:
- pnv = theme: potential natural vegetation,
- biome.type = variable: biome type (e.g. troppical savana),
- biome00k = classification model: BIOME6000,
- c = factor,
- 250m = spatial resolution / block support: 250 m,
- b0..0cm = vertical reference: land surface,
- 2000..2017 = time reference: period 2000-2017,
- v0.2 = version number: 0.2,
Files
001_pnv_biome.type_biome00k_c_250m_s0..0cm_2000..2017_v0.2.png
Files
(18.9 GB)
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pnv_biome.type_biome00k.tropical.semi.evergreen.broadleaf.forest_sd_250m_s0..0cm_2000..2017_v0.2.tif
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pnv_biome.type_biome00k.warm.temperate.evergreen.and.mixed.forest_p_250m_s0..0cm_2000..2017_v0.2.tif
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