3D Spatial Data Processing

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

Featured Dataverses

In order to use this feature you must have at least one published dataverse.

Publish Dataverse

Are you sure you want to publish your dataverse? Once you do so it must remain published.

Publish Dataverse

This dataverse cannot be published because the dataverse it is in has not been published.

Delete Dataverse

Are you sure you want to delete your dataverse? You cannot undelete this dataverse.

41 to 50 of 121 Results

Hochebenkar_TLS_20190803.zip Dec 2, 2021 - Correspondence-driven plane-based M3C2 for quantification of 3D topographic change with lower uncertainty [Data and Source Code] ZIP Archive - 7.6 GB - MD5: 02120c214b80cba3480875027322657f Data
Hochebenkar_TLS_20190816.zip Dec 2, 2021 - Correspondence-driven plane-based M3C2 for quantification of 3D topographic change with lower uncertainty [Data and Source Code] ZIP Archive - 7.2 GB - MD5: b6f7c0f5603438958ad86d6212d3a18f Data
Hochebenkar_TLS_20190830.zip Dec 2, 2021 - Correspondence-driven plane-based M3C2 for quantification of 3D topographic change with lower uncertainty [Data and Source Code] ZIP Archive - 7.4 GB - MD5: 4cfaee31413678f5b30e8aae1cd7cebc Data
How To - Minimal Workflow.pdf Jul 21, 2022 - 3D Point Cloud from Nakadake Sanroku Kiln Site Center, Japan: Sample Data for the Application of Adaptive Filtering with the AFwizard Adobe PDF - 1.6 MB - MD5: 99c7b15060c5509dbb0a61d15263534a Documentation
ICPout.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 - 124.1 MB - MD5: 7a0261ca45cc4cdd84c7100d5094cb12
Improving change analysis from near-continuous 3D time series by considering full temporal information [Data and Source Code] Dec 9, 2021 Anders, Katharina; Winiwarter, Lukas; Höfle, Bernhard, 2021, "Improving change analysis from near-continuous 3D time series by considering full temporal information [Data and Source Code]", https://doi.org/10.11588/data/1L11SQ, heiDATA, V1 This dataset comprises the source code (Python scripts) and data to perform spatiotemporal segmentation in time series of surface change data for a (i) synthetic dataset and (ii) hourly snow cover changes acquired by terrestrial laser scanning. Further details are given in the co...
IMR_report.txt Dec 13, 2023 - Gully detection with Inverse Morphological Reconstruction Algorithm [data] Plain Text - 3.5 KB - MD5: 85e2057047d93095150ee47af8ad0b86 Example of Output data
Integrating VGI contributions for gully mapping using Kalman filter and machine learning Feb 19, 2024 Vallejo Orti, Miguel; Anders, Katharina; Ajali, Oliubikum; Bubenzer, Olaf; Höfle, Bernhard, 2024, "Integrating VGI contributions for gully mapping using Kalman filter and machine learning", https://doi.org/10.11588/data/UHSQG0, heiDATA, V1, UNF:6:dbfZe/C8CmWXcBEZJg2RPw== [fileUNF] The codes and datsets included are related to experiments and results conducted to integrate different lines digitized by volunteers using Kalman filter with changing amount of input lines. Three approaches are included: i) Kalman filtering integration to investigate the role of...
inverse_morphological_reconstruction.py Dec 13, 2023 - Gully detection with Inverse Morphological Reconstruction Algorithm [data] Plain Text - 6.5 KB - MD5: 4ec54adc08cabe8b9038e17bbd56c432 Code Code
Kalman_filter_integration.py Feb 19, 2024 - Integrating VGI contributions for gully mapping using Kalman filter and machine learning Python Source Code - 23.7 KB - MD5: 9b1919e5bf0dcdcf8e3d68eec4a25fdd Code

Hochebenkar_TLS_20190803.zip

Dec 2, 2021 - Correspondence-driven plane-based M3C2 for quantification of 3D topographic change with lower uncertainty [Data and Source Code]

ZIP Archive - 7.6 GB -

Data

Hochebenkar_TLS_20190816.zip

Dec 2, 2021 - Correspondence-driven plane-based M3C2 for quantification of 3D topographic change with lower uncertainty [Data and Source Code]

ZIP Archive - 7.2 GB -

Data

Hochebenkar_TLS_20190830.zip

Dec 2, 2021 - Correspondence-driven plane-based M3C2 for quantification of 3D topographic change with lower uncertainty [Data and Source Code]

ZIP Archive - 7.4 GB -

Data

How To - Minimal Workflow.pdf

Jul 21, 2022 - 3D Point Cloud from Nakadake Sanroku Kiln Site Center, Japan: Sample Data for the Application of Adaptive Filtering with the AFwizard

Adobe PDF - 1.6 MB -

Documentation

ICPout.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 - 124.1 MB -

Improving change analysis from near-continuous 3D time series by considering full temporal information [Data and Source Code]

Dec 9, 2021

Anders, Katharina; Winiwarter, Lukas; Höfle, Bernhard, 2021, "Improving change analysis from near-continuous 3D time series by considering full temporal information [Data and Source Code]", https://doi.org/10.11588/data/1L11SQ, heiDATA, V1

This dataset comprises the source code (Python scripts) and data to perform spatiotemporal segmentation in time series of surface change data for a (i) synthetic dataset and (ii) hourly snow cover changes acquired by terrestrial laser scanning. Further details are given in the co...

IMR_report.txt

Dec 13, 2023 - Gully detection with Inverse Morphological Reconstruction Algorithm [data]

Plain Text - 3.5 KB -

Example of Output data

Integrating VGI contributions for gully mapping using Kalman filter and machine learning

Feb 19, 2024

Vallejo Orti, Miguel; Anders, Katharina; Ajali, Oliubikum; Bubenzer, Olaf; Höfle, Bernhard, 2024, "Integrating VGI contributions for gully mapping using Kalman filter and machine learning", https://doi.org/10.11588/data/UHSQG0, heiDATA, V1, UNF:6:dbfZe/C8CmWXcBEZJg2RPw== [fileUNF]

The codes and datsets included are related to experiments and results conducted to integrate different lines digitized by volunteers using Kalman filter with changing amount of input lines. Three approaches are included: i) Kalman filtering integration to investigate the role of...

inverse_morphological_reconstruction.py

Dec 13, 2023 - Gully detection with Inverse Morphological Reconstruction Algorithm [data]

Plain Text - 6.5 KB -

Code

Kalman_filter_integration.py

Feb 19, 2024 - Integrating VGI contributions for gully mapping using Kalman filter and machine learning

Python Source Code - 23.7 KB -

Code

Add Data

Share Dataverse

Link Dataverse

Reset Modifications