A global dataset of crowdsourced land cover and land use reference data

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http://eprints.org/relation/isVersionOf https://pure.iiasa.ac.at/id/document/78190 http://eprints.org/relation/isVolatileVersionOf https://pure.iiasa.ac.at/id/document/78190 http://eprints.org/relation/issmallThumbnailVersionOf https://pure.iiasa.ac.at/id/document/78190 archive 5 disk0/00/01/46/78 2017-06-20 09:47:40 2025-03-12 05:00:24 2017-06-20 09:47:40 article show Fritz S. 8130 0000-0003-0420-8549 See L. 8571 0000-0002-2665-7065 Perger C. 1899 McCallum I. 1731 0000-0002-5812-9988 Schill C. Schepaschenko D. 7435 0000-0002-7814-4990 Duerauer M. Karner M. 1983 Dresel C. 2105 Laso-Bayas J.-C. Lesiv M. 8477 0000-0001-9846-3342 Moorthy I. 2089 0000-0002-3664-3855 Salk C.F. 8556 Danylo O. 8670 Sturn T. 2051 Albrecht F. 1962 You L. Kraxner F. 7904 Obersteiner M. 7255 0000-0001-6981-2769 A global dataset of crowdsourced land cover and land use reference data pub prog_esm Geo-Wiki Global land cover is an essential climate variable and a key biophysical driver for earth system models. While remote sensing technology, particularly satellites, have played a key role in providing land cover datasets, large discrepancies have been noted among the available products. Global land use is typically more difficult to map and in many cases cannot be remotely sensed. In-situ or ground-based data and high resolution imagery are thus an important requirement for producing accurate land cover and land use datasets and this is precisely what is lacking. Here we describe the global land cover and land use reference data derived from the Geo-Wiki crowdsourcing platform via four campaigns. These global datasets provide information on human impact, land cover disagreement, wilderness and land cover and land use. Hence, they are relevant for the scientific community that requires reference data for global satellite-derived products, as well as those interested in monitoring global terrestrial ecosystems in general. 2017-06 published Springer Nature 10.1038/sdata.2017.75 98 276 228 202 279 144 69 181 211 262 59 301 1117 165 219 public Scientific Data 4 170075 TRUE 2052-4463 Harnessing the power of crowdsourcing to improve land cover and land-use information (CROWDLAND, FP7 617754) A Citizen Observatory and Innovation Marketplace for Land Use and Land Cover Monitoring (LANDSENSE, H2020 689812) Coordinating an Observation Network of Networks EnCompassing saTellite and IN-situ to fill the Gaps in European Observations (ConnectinGEO, H2020 641538) European approach to GEOSS (EUROGEOSS, FP7 226487) Geo-Wiki FALSE yes info:eu-repo/grantAgreement/EC/FP7/617754/EU//CROWDLAND; info:eu-repo/grantAgreement/EC/H2020/689812/EU//LANDSENSE; info:eu-repo/grantAgreement/EC/H2020/641538/EU//ConnectinGEO; info:eu-repo/grantAgreement/EC/FP7/226487/EU//EUROGEOSS info:eu-repo/semantics/article info:eu-repo/semantics/openAccess