| dataset | url |
|---|---|
| CAVM-2019 | https://data.mendeley.com/datasets/c4xj5rv6kv/1 |
| EarthEnv-LandCover-v1.0 | https://earthenv.org//landcover |
| GLIMS-2007 | http://glims.colorado.edu/glacierdata/ :: http://www.glims.org/download/ |
| GeoNames-2020 | http://www.geonames.org/export/ |
EFG T6.2 Polar/alpine rock – current maps
T6. Polar/alpine (cryogenic) biome
This page provides information about the valid indicative distribution map for the ecosystem functional group T6.2 Polar/alpine cliffs, screes, outcrops and lava flows. For older or alternative maps, see here.
Methods
Here is the methods summary for Map code and version: T6.2.web.alt v2.0.
Known locations of prominent ice-free rock in glacial and alpine environments were selected from global geographical gazeteers (GeoNames 2020), glacier inventories (Raup et al 2007; GLIMS and NSIDC 2005-2018) and the Antarctic Land Cover map for 2000 (Hui et al. 2017). Further areas with mixed occurrence of barren and snow/ice cover were identified from the Circumpolar Arctic Vegetation Map (Raynolds et al. 2019), the USGS EROS LandCover GLCCDB, version 2 (Loveland et al. 2000) and a 1km consensus land-cover map (Tuanmu et al. 2014). A composite map was created at 30 arc seconds spatial resolution in geographic projection, occurrences were then aggregated to half degree cells. Cells containing at least one known location were designated as major occurrences, while those mapped as mixed barren and snow/ice cover were designated as minor occurrences if snow/ice covered at least 2.5% of the cell area.
Datasets
Antartica-LC-2000 (Hui et al. 2017):
Source of regional landcover product. Resolution: <1km2, static. Accuracy evaluation: >90%.
CAVM-2019 (Raynolds et al. 2019):
Source of regional vegetation map. Resolution: ca. 1km2, static. Accuracy evaluation: >70%.
EarthEnv-LandCover-v1.0 (Tuanmu et al. 2014):
Source of global landcover product. Resolution: ca. 1km2, static. Accuracy evaluation: accuracy weighted consensus.
GeoNames-2020 (GeoNames 2020):
Source of known geographical features. Resolution: variable (points), static. Accuracy evaluation: known records.
GLCC-IGBP-2000 (Loveland et al. 2000):
Source of global landcover product. Resolution: ca. 1km2, static. Accuracy evaluation: derived from sources.
GLIMS-2007 (GLIMS and NSIDC 2005-2018):
Source of validated distribution records. Resolution: <1km2, static. Accuracy evaluation: quantitative (variable).
GLIMS-2007 (Raup et al 2007):
Source of validated distribution records. Resolution: <1km2, static. Accuracy evaluation: quantitative (variable).
Processing
Processing steps used in this map are: Buffering :: Reclassification :: Selection :: Thresholds.
Map evaluation
This map is considered to be a Fine quality map based on the following characteristics:
Concept alignment is Direct,specific.
Ground observations are indirect.
The accuracy evaluation Quantitative accuracy assessment,documented,quantitative.
How to use the data
Available files
Following maps are considered current and valid indicative distribution maps for this ecosystem functional group. Web navigation maps are optimised for use in webapps, but they have similar methods and differ only in details of format and processing.
- Web navigation (code: T6.2.web.alt, version v2.0)
- Indicative Map (code: T6.2.IM.alt, version v2.0)
You can download geospatial data for this map from the following sources:
T6.2.web.alt (v2.0): Google Cloud bucket :: Zenodo repository (bundle of maps) :: Zenodo repository (EFG map) :: GitHub repository :: GitHub repository :: Earth Engine assets :: GitHub repository
T6.2.IM.alt (v2.0): Google Cloud bucket :: Zenodo repository (bundle of maps)
Note that you need to login to some services like mapbox or earthengine, and in some cases you also need to request access to the files.
License information
Indicative maps have been released with a 
Creative Commons Attribution 4.0 International license.
Datasets used to create this map might have some restriction for commercial use, see details below.
| dataset | license_info |
|---|---|
| Antartica-LC-2000 | https://creativecommons.org/licenses/by-sa/4.0/legalcode |
| CAVM-2019 | CC BY NC 3.0 licence description The files associated with this dataset are licensed under a Attribution-NonCommercial 3.0 Unported licence |
| EarthEnv-LandCover-v1.0 | https://www.re3data.org/repository/r3d100013469 :: https://creativecommons.org/licenses/by-nc/4.0/ |
| GeoNames-2020 | creative commons attributions license |
References
References used in this version of the maps.
- Loveland, T.R., Reed, B.C., Brown, J.F., Ohlen, D.O., Zhu, J, Yang, L., and Merchant, J.W. (2000) Development of a Global Land Cover Characteristics Database and IGBP DISCover from 1-km AVHRR Data International Journal of Remote Sensing v. 21, no. 6/7, p. 1303-1330 DOI:10.1080/014311600210191
- Tuanmu, M.-N. and W. Jetz (2014) A global 1-km consensus land-cover product for biodiversity and ecosystem modeling Global Ecology and Biogeography 23(9):1031–1045 DOI:10.1111/geb.12182
- Martha K. Raynolds, Donald A. Walker, Andrew Balser, Christian Bay, Mitch Campbell, Mikhail M. Cherosov, Fred J.A. Daniëls, Pernille Bronken Eidesen, Ksenia A. Ermokhina, Gerald V. Frost, Birgit Jedrzejek, M. Torre Jorgenson, Blair E. Kennedy, Sergei S. Kholod, Igor A. Lavrinenko, Olga V. Lavrinenko, Borgþór Magnússon, Nadezhda V. Matveyeva, Sigmar Metúsalemsson, Lennart Nilsen, Ian Olthof, Igor N. Pospelov, Elena B. Pospelova, Darren Pouliot, Vladimir Razzhivin, Gabriela Schaepman-Strub, Jozef Šibík, Mikhail Yu. Telyatnikov, Elena Troeva (2019) A raster version of the Circumpolar Arctic Vegetation Map (CAVM) Remote Sensing of Environment 232: 111297, https://doi.org/10.1016/j.rse.2019.111297.
- GeoNames (2020) The GeoNames geographical database [https://www.geonames.org] Accessed in Feb 2020
- Raup, B.H.; A. Racoviteanu; S.J.S. Khalsa; C. Helm; R. Armstrong; Y. Arnaud (2007) The GLIMS Geospatial Glacier Database: a New Tool for Studying Glacier Change Global and Planetary Change 56:101–110 DOI:10.1016/j.gloplacha.2006.07.018
- Hui, F., J. Kang, Y. Liu, X. Cheng, P. Gong, F. Wang, Z. Li, Y. Ye, and Z. Guo. 2017. AntarcticaLC2000: The new Antarctic land cover database for the year 2000. SCIENCE CHINA Earth Sciences 60: 686-696. doi: 10.1007/s11430-016-0029-2.
- NA