Published June 13, 2017 | Version v1
Dataset Open

A global dataset of crowdsourced land cover and land use reference data (2011-2012)

Description

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.

Full data description can be found in the corresponding article Fritz et al (2017):
https://doi.org/10.1038/sdata.2017.75

 

Data Coverage:
Median Latitude: 
23.136733 * Median Longitude: 21.642639 * South-bound Latitude: -60.537500 * West-bound Longitude: -179.837500 * North-bound Latitude: 83.437500 * East-bound Longitude: 179.962500

Files

Global LULC reference data .csv

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Additional details

Funding

European Commission
CROWDLAND - Harnessing the power of crowdsourcing to improve land cover and land-use information 617754
European Commission
LANDSENSE - A Citizen Observatory and Innovation Marketplace for Land Use and Land Cover Monitoring 689812
European Commission
ConnectinGEO - Coordinating an Observation Network of Networks EnCompassing saTellite and IN-situ to fill the Gaps in European Observations 641538
European Commission
EUROGEOSS - European approach to GEOSS 226487