Ensemble estimate of the global distribution of peatlands / extent (peatland.extent_multi_p). This is a simple average from five (5) sources of data:
\nThe average between the three sources is an extent map with value 0–100%. The refence period is 2000–2020, although probably most of data is based on pre 2010. For more details about the source data please refer to the cited references below.
\nBare rock and bare sand estimates are based on the following two sources of data:
\nTwo classes are considered: (1) probability of occurrence of bare rock (bare.rock_glc.gfz_p), (2) probability of occurrence of bare sand i.e. shifting sand (bare.soil.sand_glc.gfz_p). We recommend using only the 1-km data for spatial modeling.
\nThe time-series of bare areas (bare.areas_esa.cci_p) are based on the ESA CCI Land Cover time-series (2000–2022) 300-m resolution data; also available at 1-km resolution based on \"average\" resampling.
", "funding": [ { "award": { "acronym": "OEMC", "id": "00k4n6c32::101059548", "identifiers": [ { "identifier": "https://cordis.europa.eu/projects/101059548", "scheme": "url" }, { "identifier": "10.3030/101059548", "scheme": "doi" } ], "number": "101059548", "program": "HORIZON.2.6", "title": { "en": "Open-Earth-Monitor Cyberinfrastructure" } }, "funder": { "id": "00k4n6c32", "name": "European Commission" } } ], "languages": [ { "id": "eng", "title": { "en": "English" } } ], "publication_date": "2026-04-24", "publisher": "Zenodo", "references": [ { "reference": "Buchhorn, M., Lesiv, M., Tsendbazar, N. E., Herold, M., Bertels, L., & Smets, B. (2020). Copernicus global land cover layers\u2014collection 2. Remote Sensing, 12(6), 1044. https://doi.org/10.3390/rs12061044" }, { "reference": "Widyastuti, M. T., Minasny, B., Padarian, J., Maggi, F., Aitkenhead, M., Beucher, A., ... & Taufik, M. (2024). PEATGRIDS: Mapping thickness and carbon stock of global peatlands via digital soil mapping. Earth System Science Data Discussions, 2024, 1-29. https://doi.org/10.5194/essd-2024-333" }, { "reference": "Demuzere, M., Kittner, J., Martilli, A., Mills, G., Moede, C., Stewart, I. D., van Vliet, J., and Bechtel, B. (2022): A global map of local climate zones to support earth system modelling and urban-scale environmental science, Earth Syst. Sci. Data, 14, 3835-3873, https://doi.org/10.5194/essd-14-3835-2022." }, { "reference": "Defourny, P., Lamarche, C., Bontemps, S., De Maet, T., Van Bogaert, E., Moreau, I., Brockmann, C., Boettcher, M., Kirches, G., Wevers, J., Santoro, M., Ramoino, F., & Arino, O. (2017). Land Cover Climate Change Initiative - Product User Guide v2. Issue 2.0. http://maps.elie.ucl.ac.be/CCI/viewer/download/ESACCI-LC-Ph2-PUGv2_2.0.pdf" }, { "reference": "Lilleskov, Erik Andrew and McCullough, Kevin J. and Uhelski, Dominic M., Mapping Peatland Extent and Condition in the Contiguous United States to Inform Peatland Protection and Restoration. Available at SSRN: https://ssrn.com/abstract=5279376 or http://dx.doi.org/10.2139/ssrn.5279376" }, { "reference": "Webster, K. L., Bhatti, J. S., Thompson, D. K., Nelson, S. A., Shaw, C. H., Bona, K. A., ... & Kurz, W. A. (2018). Spatially-integrated estimates of net ecosystem exchange and methane fluxes from Canadian peatlands. Carbon Balance and Management, 13(1), 16. https://doi.org/10.1186/s13021-018-0105-5" }, { "reference": "Tegetmeyer, T., Kaiser, M., Chobanova, M., Tanneberger, F. & Barthelmes, A. (2025). The EuropeanPeatland Map 2025 ('EPM2025') - Technical Description and Data Sources. Proceedings of the Greifs-wald Mire Centre 03/2025 (self-published, ISSN 2627\u2010910X), 18 pp." } ], "related_identifiers": [ { "identifier": "10.5281/zenodo.12559238", "relation_type": { "id": "isvariantformof", "title": { "de": "Ist eine Variante von", "en": "Is variant form of" } }, "resource_type": { "id": "dataset", "title": { "de": "Datensatz", "en": "Dataset" } }, "scheme": "doi" } ], "resource_type": { "id": "dataset", "title": { "de": "Datensatz", "en": "Dataset" } }, "rights": [ { "description": { "en": "The Creative Commons Attribution license allows re-distribution and re-use of a licensed work on the condition that the creator is appropriately credited." }, "icon": "cc-by-icon", "id": "cc-by-4.0", "props": { "scheme": "spdx", "url": "https://creativecommons.org/licenses/by/4.0/legalcode" }, "title": { "en": "Creative Commons Attribution 4.0 International" } } ], "subjects": [ { "subject": "peatlands" }, { "subject": "global" } ], "title": "Global ensemble peatland, bare rock and bare sand extent at 100 m to 1 km spatial resolution based on multisource data" }, "parent": { "access": { "owned_by": { "user": "43652" }, "settings": { "accept_conditions_text": null, "allow_guest_requests": false, "allow_user_requests": false, "secret_link_expiration": 0 } }, "communities": { "default": "4a8c9f76-4a70-494b-8960-ebf6a8a926bc", "entries": [ { "access": { "member_policy": "open", "members_visibility": "public", "record_submission_policy": "open", "review_policy": "open", "visibility": "public" }, "children": { "allow": false }, "created": "2023-04-19T13:19:56.554399+00:00", "custom_fields": {}, "deletion_status": { "is_deleted": false, "status": "P" }, "id": "4a8c9f76-4a70-494b-8960-ebf6a8a926bc", "links": {}, "metadata": { "curation_policy": "We accept contributions by project partners and collaborators. Each submission should follow the minimum requirements including: (1) consistent file-naming convention, (2) cloud-native formats, (3) quality-controlled metadata, (4) support provided through Github/Gitlab, (5) data registered in the officially data catalogue.
", "description": "Open-Earth-Monitor Cyberinfrastructure: Environmental information to support EU's Green Deal", "funding": [ { "award": { "id": "00k4n6c32::101059548" }, "funder": { "id": "00k4n6c32" } } ], "page": "The EU-funded (Grant agreement ID: 101059548) OEMC project will provide the open-Earth-monitor cyberinfrastructure to accelerate Europe’s capability to process high-quality, user-friendly, environmental information, based on Earth observation (EO) data. The developed cyber-infrastructure will be secured in FAIR data principles and existing platforms related to EO will be leveraged to a higher level. This will allow the monitoring of essential biodiversity indicators and the registering of natural capital accounts for private and public sectors, allowing businesses to improve their competitive advantage through the EU Green Deal and European citizens to have a better quality of life. For more info see: https://earthmonitor.org/.
\n\nWe welcome data, software and tutorials / scientific documents that help produce environmental monitoring solutions for (1) Continental Europe, and (2) global use-cases. We specifically target contributing to:
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