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FABDEM (FABDEM (Forest And Building removed copernicus Digital Elevation Model) is a global 1 arc second grid spacing Digital Terrain Model. Trees and buildings are removed from Copernicus GLO30 DEM using a novel machine learning approach. Since FABDEM’s release it has been widely used by the community in a variety of geoscience applications. In this paper, we outline the latest updates to FABDEM (V1-2). Improvements to FABDEM include updating the baseline Digital Surface Model and methodological tweaks to fix discontinuities at some tile edges and artifacts caused by resampling at higher latitudes.
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
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