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Sensitivity kernels for four different methods of Greenland Ice Sheet mass change estimation from GRACE Level-2 satellite gravimetry data
(Technische Universität Dresden, 2023)
Supplementary material to the manuscript: Döhne, T., Horwath, M., Groh, A. and Buchta, E. (2023) 'The sensitivity kernel perspective on GRACE mass change estimates', Journal of Geodesy.
The data set comprises sensitivity ...
Data product of Greenland glacier calving front locations delineated by deep learning, 2013 to 2021
(Technische Universität Dresden, 2023)
Glacier calving front positions are derived by applying a deep learning method to multispectral Landsat-8 imagery. The product contains 9243 calving front positions across 23 Greenland outlet glaciers from March 2013 to ...
Terminus area change of 17 key glaciers of the Antarctic Peninsula from 2013 to 2023 derived from remote sensing and deep learning
(Technische Universität Dresden, 2023)
Glacier terminus area changes are derived using the rectilinear box method applied to time series of glacier calving front locations. Terminus changes are provided in text file and image format. The following glaciers are ...