3D Spatial Data Processing

Data publications of the 3D Spatial Data Processing Group at the Institute of Geography at Heidelberg University.

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11 to 20 of 121 Results

Video_3DMicroMapping_SubsidenceStations.mp4 Jan 15, 2020 - 3D Micro-Mapping of Subsidence Stations [Source Code and Data] MPEG-4 Video - 103.9 MB - MD5: a865f46359d9e2af6b19a47805d069c1 Documentation
VOSTOK - The Voxel Octree Solar Toolkit Mar 10, 2020 Bechtold, Sebastian; Höfle, Bernhard, 2020, "VOSTOK - The Voxel Octree Solar Toolkit", https://doi.org/10.11588/data/QNA02B, heiDATA, V1 VOSTOK is a command-line tool to compute a detailed model of incoming solar radiation distribution on a patch of land, including structures like buildings and vegetation, represented by a 3D point cloud data set. The program is written in C++ and makes use of the "SOLPOS.H" libra...
README.md Mar 10, 2020 - VOSTOK - The Voxel Octree Solar Toolkit Markdown Text - 13.5 KB - MD5: c91aafd77f606ffe76a7c50bf7469c3c Documentation
vostok-202003.zip Mar 10, 2020 - VOSTOK - The Voxel Octree Solar Toolkit ZIP Archive - 156.2 KB - MD5: 93a7fa6435254238c7bf76f378a76a46
Fully Automatic Spatiotemporal Segmentation of 3D LiDAR Time Series for the Extraction of Natural Surface Changes [Source Code, Validation Material and Validation Results] Jan 13, 2021 Anders, Katharina; Winiwarter, Lukas; Mara, Hubert; Lindenbergh, Roderik; Vos, Sander E.; Höfle, Bernhard, 2021, "Fully Automatic Spatiotemporal Segmentation of 3D LiDAR Time Series for the Extraction of Natural Surface Changes [Source Code, Validation Material and Validation Results]", https://doi.org/10.11588/data/4HJHAA, heiDATA, V1 This dataset comprises the source code to perform fully automatic spatiotemporal segmentation in time series of topographic surface change data (Python scripts). Further provided is the validation material of the resulting extraction of 4D objects-by-change at the study site of a...
code_spatiotemporal_segmentation.zip Jan 13, 2021 - Fully Automatic Spatiotemporal Segmentation of 3D LiDAR Time Series for the Extraction of Natural Surface Changes [Source Code, Validation Material and Validation Results] ZIP Archive - 32.9 KB - MD5: e70398ca0e02a06ce70567fb9fcf15e9 Code
validation_material.zip Jan 13, 2021 - Fully Automatic Spatiotemporal Segmentation of 3D LiDAR Time Series for the Extraction of Natural Surface Changes [Source Code, Validation Material and Validation Results] ZIP Archive - 6.0 GB - MD5: 9e2891179c4e7dcbcdcb75719676cf84 Data
validation_result.zip Jan 13, 2021 - Fully Automatic Spatiotemporal Segmentation of 3D LiDAR Time Series for the Extraction of Natural Surface Changes [Source Code, Validation Material and Validation Results] ZIP Archive - 1.1 KB - MD5: 4487e9753808165b4f0f6b0630a56225 Data
M3C2-EP: Pushing the limits of 3D topographic point cloud change detection by error propagation [Data and Source Code] Jun 15, 2021 Winiwarter, Lukas; Anders, Katharina; Zahs, Vivien; Hämmerle, Martin; Höfle, Bernhard, 2021, "M3C2-EP: Pushing the limits of 3D topographic point cloud change detection by error propagation [Data and Source Code]", https://doi.org/10.11588/data/XHYB10, heiDATA, V1 The analysis of topographic time series is often based on bitemporal change detection and quantiﬁcation. For 3D point clouds, acquired using laser scanning or photogrammetry, random and systematic noise has to be separated from the signal of surface change by determining the mini...
2017.zip Jun 15, 2021 - M3C2-EP: Pushing the limits of 3D topographic point cloud change detection by error propagation [Data and Source Code] ZIP Archive - 3.6 GB - MD5: 7ad6b910c04e9700ff1c920a2b7ab46a

Video_3DMicroMapping_SubsidenceStations.mp4

Jan 15, 2020 - 3D Micro-Mapping of Subsidence Stations [Source Code and Data]

MPEG-4 Video - 103.9 MB -

Documentation

VOSTOK - The Voxel Octree Solar Toolkit

Mar 10, 2020

Bechtold, Sebastian; Höfle, Bernhard, 2020, "VOSTOK - The Voxel Octree Solar Toolkit", https://doi.org/10.11588/data/QNA02B, heiDATA, V1

VOSTOK is a command-line tool to compute a detailed model of incoming solar radiation distribution on a patch of land, including structures like buildings and vegetation, represented by a 3D point cloud data set. The program is written in C++ and makes use of the "SOLPOS.H" libra...

README.md

Mar 10, 2020 - VOSTOK - The Voxel Octree Solar Toolkit

Markdown Text - 13.5 KB -

Documentation

vostok-202003.zip

Mar 10, 2020 - VOSTOK - The Voxel Octree Solar Toolkit

ZIP Archive - 156.2 KB -

Fully Automatic Spatiotemporal Segmentation of 3D LiDAR Time Series for the Extraction of Natural Surface Changes [Source Code, Validation Material and Validation Results]

Jan 13, 2021

Anders, Katharina; Winiwarter, Lukas; Mara, Hubert; Lindenbergh, Roderik; Vos, Sander E.; Höfle, Bernhard, 2021, "Fully Automatic Spatiotemporal Segmentation of 3D LiDAR Time Series for the Extraction of Natural Surface Changes [Source Code, Validation Material and Validation Results]", https://doi.org/10.11588/data/4HJHAA, heiDATA, V1

This dataset comprises the source code to perform fully automatic spatiotemporal segmentation in time series of topographic surface change data (Python scripts). Further provided is the validation material of the resulting extraction of 4D objects-by-change at the study site of a...

code_spatiotemporal_segmentation.zip

Jan 13, 2021 - Fully Automatic Spatiotemporal Segmentation of 3D LiDAR Time Series for the Extraction of Natural Surface Changes [Source Code, Validation Material and Validation Results]

ZIP Archive - 32.9 KB -

Code

validation_material.zip

Jan 13, 2021 - Fully Automatic Spatiotemporal Segmentation of 3D LiDAR Time Series for the Extraction of Natural Surface Changes [Source Code, Validation Material and Validation Results]

ZIP Archive - 6.0 GB -

Data

validation_result.zip

Jan 13, 2021 - Fully Automatic Spatiotemporal Segmentation of 3D LiDAR Time Series for the Extraction of Natural Surface Changes [Source Code, Validation Material and Validation Results]

ZIP Archive - 1.1 KB -

Data

M3C2-EP: Pushing the limits of 3D topographic point cloud change detection by error propagation [Data and Source Code]

Jun 15, 2021

Winiwarter, Lukas; Anders, Katharina; Zahs, Vivien; Hämmerle, Martin; Höfle, Bernhard, 2021, "M3C2-EP: Pushing the limits of 3D topographic point cloud change detection by error propagation [Data and Source Code]", https://doi.org/10.11588/data/XHYB10, heiDATA, V1

The analysis of topographic time series is often based on bitemporal change detection and quantiﬁcation. For 3D point clouds, acquired using laser scanning or photogrammetry, random and systematic noise has to be separated from the signal of surface change by determining the mini...

2017.zip

Jun 15, 2021 - M3C2-EP: Pushing the limits of 3D topographic point cloud change detection by error propagation [Data and Source Code]

ZIP Archive - 3.6 GB -

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