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

Fritz, S. ORCID: https://orcid.org/0000-0003-0420-8549, See, L. ORCID: https://orcid.org/0000-0002-2665-7065, Perger, C., McCallum, I. ORCID: https://orcid.org/0000-0002-5812-9988, Schill, C., Schepaschenko, D. ORCID: https://orcid.org/0000-0002-7814-4990, Duerauer, M., Karner, M., et al. (2017). A global dataset of crowdsourced land cover and land use reference data. Scientific Data 4 p. 170075. 10.1038/sdata.2017.75.

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Project: 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

Abstract

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.

Item Type: Article
Uncontrolled Keywords: Geo-Wiki
Research Programs: Ecosystems Services and Management (ESM)
Depositing User: Romeo Molina
Date Deposited: 20 Jun 2017 09:47
Last Modified: 04 Jan 2024 13:53
URI: https://pure.iiasa.ac.at/14678

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