A global dataset of crowdsourced land cover and land use reference data : = Data descriptor: a global dataset of crowdsourced land cover and land use reference data

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

Angaben zum Objekt

• Weitere Titel: Data descriptor: a global dataset of crowdsourced land cover and land use reference data
• Standort: Deutsche Nationalbibliothek Frankfurt am Main
• Umfang: Online-Ressource
• Sprache: Englisch
• Anmerkungen: Scientific data. - 4 (2017) , 170075, ISSN: 2052-4463

Klassifikation und Themen

• Klassifikation: Natürliche Ressourcen, Energie und Umwelt

Beteiligte, Orts- und Zeitangaben

• Ereignis: Veröffentlichung
• (wo): Freiburg
• (wer): Universität
• (wann): 2019
• Urheber: Fritz, Steffen ; See, Linda ; Perger, Christoph ; McCallum, Ian ; Schill, Christian ; Schepaschenko, Dmitry ; Dürauer, Martina ; Karner, Mathias ; Dresel, Christopher ; Laso Bayas, Juan Carlos ; Lesiv, Myroslava ; Moorthy, Inian ; Salk, Carl F. ; Danylo, Olha ; Sturn, Tobias ; Albrecht, Franziska ; You, Liangzhi ; Kraxner, Florian ; Obersteiner, Michael
• Beteiligte Personen und Organisationen: Albert-Ludwigs-Universität Freiburg. Professur für Fernerkundung und Landschaftsinformationssysteme

Weitere Informationen

• DOI: 10.1038/sdata.2017.75
• URN: urn:nbn:de:bsz:25-freidok-1414505
• Rechteinformation: Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
• Letzte Aktualisierung: 25.03.2025, 13:52 MEZ