Open land cover from OpenStreetMap and remote sensing

• Verfasst von: Schultz, Michael [VerfasserIn]
• Verfasst von: Auer, Michael [VerfasserIn]
• Verfasst von: Zipf, Alexander [VerfasserIn]
• Titel: Open land cover from OpenStreetMap and remote sensing
• Verf.angabe: Michael Schultz, Janek Voss, Michael Auer, Sarah Carter, Alexander Zipf
• Umfang: 8 S.
• Fussnoten: Gesehen am 01.03.2018
• Titel Quelle: Enthalten in: International journal of applied earth observation and geoinformation
• Jahr Quelle: 2017
• Band/Heft Quelle: 63(2017), S. 206-213
• ISSN Quelle: 1872-826X
• DOI: doi:10.1016/j.jag.2017.07.014
• Datenträger: Online-Ressource
• Sprache: eng
• K10plus-PPN: 1570303215

Abstract

OpenStreetMap (OSM) tags were used to produce a global Open Land Cover (OLC) product with fractional data gaps available at osmlanduse.org. Data gaps in the global OLC map were filled for a case study in Heidelberg, Germany using free remote sensing data, which resulted in a land cover (LC) prototype with complete coverage in this area. Sixty tags in the OSM were used to allocate a Corine Land Cover (CLC) level 2 land use classification to 91.8% of the study area, and the remaining gaps were filled with remote sensing data. For this case study, complete are coverage OLC overall accuracy was estimated 87%, which performed better than the CLC product (81% overall accuracy) of 2012. Spatial thematic overlap for the two products was 84%. OLC was in large parts found to be more detailed than CLC, particularly when LC patterns were heterogeneous, and outperformed CLC in the classification of 12 of the 14 classes. Our OLC product represented data created in different periods; 53% ofthe area was 2011-2016, and 46% of the area was representative of 2016-2017.