11 to 20 of 126 Results
ZIP Archive - 5.2 MB -
MD5: 8944f54b551e8c670c43e17679ff1d34
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Jan 18, 2024 -
Manually labeled terrestrial laser scanning point clouds of individual trees for leaf-wood separation
Unknown - 78.2 MB -
MD5: 984abea0c7e1e0ebacfa92bf974a101e
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Aug 18, 2021 -
Opaque Voxel-based Tree Models for Virtual Laser Scanning in Forestry Applications [Research Data and Source Code]
ZIP Archive - 5.5 KB -
MD5: 6c6372dbc0dd0f4ba82dcdac65cb2462
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May 13, 2024
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... |
ZIP Archive - 9.5 GB -
MD5: 71093af0413740aeecc28c761c281115
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ZIP Archive - 271.5 MB -
MD5: fb49a6c8c1680a8df2c0c3d3350f5f6a
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ZIP Archive - 839.0 MB -
MD5: 2d91458b26f1d812e025bc83186f8768
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ZIP Archive - 115.4 MB -
MD5: 2e622f3e1f45ff24bac25b19beefacc9
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Python Source Code - 4.2 KB -
MD5: f255b27958baf1e7e577353dcc43290c
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Jul 20, 2023
Zahs, Vivien; Anders, Katharina; Kohns, Julia; Stark, Alexander; Höfle, Bernhard, 2023, "Classification of structural building damage grades from multi-temporal photogrammetric point clouds using a machine learning model trained on virtual laser scanning data [Data and Source Code]", https://doi.org/10.11588/data/D3WZID, heiDATA, V1
Automatic damage assessment by analysing UAV-derived 3D point clouds provides fast information on the damage situation after an earthquake. However, the assessment of different damage grades is challenging given the variety in damage characteristics and limited transferability of... |