51 to 53 of 53 Results
Mar 11, 2024 - Geo- and Cosmochemistry
Soder, Christian; Dunga, Jerry; Romer, Rolf, 2024, "Continental subduction controls regional magma heterogeneity and distribution of porphyry deposits in post-collisional settings [Research Data]", https://doi.org/10.11588/data/QS478V, heiDATA, V1, UNF:6:D+vIIpuy9ouCOBLNr0aUvg== [fileUNF]
This dataset contains whole-rock geochemical and mineral chemical data for ultrapotassic volcanic rocks of the Efogi Volcanic Field, Papua New Guinea. Abstract: Continental subduction is the major cause of regional heterogeneities in the lithospheric mantle and contrasting types... |
Apr 26, 2024 - GIScience / Geoinformatics Research Group
Schultz, Michael; Li, Hao; Wu, Zhaoyhan; Wiell, Daniel; Auer, Michael; Zipf, Alexander, 2024, "OpenStreetMap land use for Europe "Research Data"", https://doi.org/10.11588/data/IUTCDN, heiDATA, V1
OSMLanduse data is a scientific dataset generated within the scope of the Horizon 2020 - LandSense project. It is a classification of Sentinel-2 imagery using a deep learning model trained on OSM landuse and landcover features. The data might contain errorneous classifications. T... |
May 13, 2024 - 3D Spatial Data Processing
Vallejo-Orti, Miguel; Winiwarter, Lukas; Corral, Eva; Williams, Jack; Bubenzer, Olaf; Höfle, Bernhard, 2024, "An Automatic Iterative Random Forest approach to derive gully activity maps in large areas with training data scarcity [Data and Source Code]", https://doi.org/10.11588/data/WGAU4Q, heiDATA, V1
Gullies are landforms with specific patterns of shape, topography, hydrology, vegetation, and soil characteristics. Remote sensing products (TanDEM-X, Sentinel-1, and Sentinel-2) serve as inputs into an iterative algorithm, initialized using a micro-mapping simulation as training... |