Assessing the suitability of GlobeLand30 for mapping land cover in Germany

• Verfasst von: Jokar Arsanjani, Jamal [VerfasserIn]
• Verfasst von: Seefeld, Linda Maria [VerfasserIn]
• Verfasst von: Tayyebi, Amin [VerfasserIn]
• Titel: Assessing the suitability of GlobeLand30 for mapping land cover in Germany
• Verf.angabe: Jamal Jokar Arsanjani, Linda See & Amin Tayyebi
• E-Jahr: 2016
• Jahr: 11 Mar 2016
• Umfang: 9 S.
• Fussnoten: Gesehen am 18.08.2020
• Titel Quelle: Enthalten in: International journal of digital earth
• Ort Quelle: London [u.a.] : Taylor & Francis, 2008
• Jahr Quelle: 2016
• Band/Heft Quelle: 9(2016), 9, Seite 873-891
• ISSN Quelle: 1753-8955
• DOI: doi:10.1080/17538947.2016.1151956
• Datenträger: Online-Ressource
• Sprache: eng
• Sach-SW: accuracy assessment
• Sach-SW: corine
• Sach-SW: Germany
• Sach-SW: global land cover maps
• Sach-SW: Globeland30
• Sach-SW: Land cover/use mapping
• K10plus-PPN: 1727377591

Abstract

Global land cover (LC) maps have been widely employed as the base layer for a number of applications including climate change, food security, water quality, biodiversity, change detection, and environmental planning. Due to the importance of LC, there is a pressing need to increase the temporal and spatial resolution of global LC maps. A recent advance in this direction has been the GlobeLand30 dataset derived from Landsat imagery, which has been developed by the National Geomatics Center of China (NGCC). Although overall accuracy is greater than 80%, the NGCC would like help in assessing the accuracy of the product in different regions of the world. To assist in this process, this study compares the GlobeLand30 product with existing public and online datasets, that is, CORINE, Urban Atlas (UA), OpenStreetMap, and ATKIS for Germany in order to assess overall and per class agreement. The results of the analysis reveal high agreement of up to 92% between these datasets and GlobeLand30 but that large disagreements for certain classes are evident, in particular wetlands. However, overall, GlobeLand30 is shown to be a useful product for characterizing LC in Germany, and paves the way for further regional and national validation efforts.