Spatio-temporal patterns of land cover and land use
Work package 1, spatio-temporal patterns of land cover and land use, addresses the question of how land cover classes can be standardized and derived annually for such a large area, and how these time series of detailed information can be used to draw conclusions about the status and change of land use. The particular challenge here lies in the supraregional work across different climate zones and natural areas. Spatiotemporal patterns of land use and its change are then derived from these results and underlying trends, disturbances, and changes in surface composition. This includes, for example, the growth of urban areas (recognizable by the conversion of vegetated areas into sealed surfaces) and the intensification of agriculture (through longer phases and higher amplitudes of phenological profiles after intensive irrigation)
Publications
Pham VD, F de Waard, F Thiel, B Bobertz, C Hellmann, DV Nguyen, Beer F, Arasumani M, Schwieder M, Hartleib J, Frantz D, van der Linden S (2024). An annual land cover dataset for the Baltic Sea Region with crop types and peat bogs at 30 m from 2000 to 2022. Scientific Data 11 (1), 1242
Pham VD, Tetteh G, Thiel F, Erasmi S, Schwieder M, Frantz D, van der Linden S (2024). Temporally transferable crop mapping with Temporal Encoding and deep learning augmentations. Journal of Applied Earth Observation and Geoinformation 129, 103867.
Arasumani M, Thiel F, Pham VD, Hellmann C, Kaiser M, van der Linden S (2023). Advancing peatland vegetation mapping by spaceborne imaging spectroscopy. Ecological Indicators 154, 110665.
People
Vu Dong Pham (since 02/2025), Sebastian van der Linden (PI), Arasumani M (12/2021-11/2023)