Assessing the suitability of GlobeLand30 for mapping land cover in Germany |
| |
| Authors: | Jamal Jokar Arsanjani Linda See Amin Tayyebi |
| |
| Institution: | 1. GIScience Research Group, Institute of Geography, Heidelberg University, Heidelberg, Germany;2. Ecosystems Services and Management Program (ESM), International Institute for Applied Systems Analysis (IIASA), Laxenburg, Austria;3. University of California-Riverside, College of Natural &4. Agricultural Sciences, Center for Conservation Biology, Riverside, CA, USA |
| |
| 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. |
| |
| Keywords: | Land cover/use mapping Germany Globeland30 corine global land cover maps accuracy assessment |
|
|
