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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61 to 70 of 108 Results

nkd_sgm.geojson Jul 5, 2022 - 3D Point Cloud from Nakadake Sanroku Kiln Site Center, Japan: Sample Data for the Application of Adaptive Filtering with the AFwizard GeoJSON - 26.4 KB - MD5: f352d25ba4ca4139a94d478d0fdfa6a5 auxiliary_datainput_data Input data: Segmentation of the sample area with segment classes but without filter pipelines assigned.
sample_pcl_paddy.las Jul 5, 2022 - 3D Point Cloud from Nakadake Sanroku Kiln Site Center, Japan: Sample Data for the Application of Adaptive Filtering with the AFwizard Unknown - 4.0 MB - MD5: ecb287c259ef82ed4e449f718abf8abf working_data 3D point cloud of a sub-area that represents segments of class "paddy".
sample_pcl_ridge.las Jul 5, 2022 - 3D Point Cloud from Nakadake Sanroku Kiln Site Center, Japan: Sample Data for the Application of Adaptive Filtering with the AFwizard Unknown - 2.1 MB - MD5: 2a372cd47af207796c29f06ce650f381 working_data 3D point cloud of a sub-area that represents segments of class "ridge".
sample_pcl_slope.las Jul 5, 2022 - 3D Point Cloud from Nakadake Sanroku Kiln Site Center, Japan: Sample Data for the Application of Adaptive Filtering with the AFwizard Unknown - 2.0 MB - MD5: 5a90a1674a763f4520c5ec166edb9f4f working_data 3D point cloud of a sub-area that represents segments of class "slope".
sample_pcl_valley.las Jul 5, 2022 - 3D Point Cloud from Nakadake Sanroku Kiln Site Center, Japan: Sample Data for the Application of Adaptive Filtering with the AFwizard Unknown - 3.0 MB - MD5: b196cd45a6bdedf9ab47d01fa830c825 working_data 3D point cloud of a sub-area that represents segments of class "valley".
Outcrop_segmentation.zip Jan 25, 2022 - Correspondence-driven plane-based M3C2 for quantification of 3D topographic change with lower uncertainty [Data and Source Code] ZIP Archive - 376.5 KB - MD5: 1f7af2216c7548e34a58e73df5c62fb4 Code Contains "outcrop.exe" and "ANN.dll".
snowcover_data.zip Dec 9, 2021 - Improving change analysis from near-continuous 3D time series by considering full temporal information [Data and Source Code] ZIP Archive - 7.3 GB - MD5: 480ba8cb468c44d7fc9b67d0e01fca94 Data
snowcover_README.txt Dec 9, 2021 - Improving change analysis from near-continuous 3D time series by considering full temporal information [Data and Source Code] Plain Text - 740 B - MD5: a0d215c287f8e277789aae612df1f57b Documentation
snowcover_scripts.zip Dec 9, 2021 - Improving change analysis from near-continuous 3D time series by considering full temporal information [Data and Source Code] ZIP Archive - 25.4 KB - MD5: 076639c9b3fb123b336cdb11fd80a0cf Code
synthetic_data.zip Dec 9, 2021 - Improving change analysis from near-continuous 3D time series by considering full temporal information [Data and Source Code] ZIP Archive - 234.3 MB - MD5: 310b50f893f525a311d25006f38daac1 Data

nkd_sgm.geojson

Jul 5, 2022 - 3D Point Cloud from Nakadake Sanroku Kiln Site Center, Japan: Sample Data for the Application of Adaptive Filtering with the AFwizard

GeoJSON - 26.4 KB -

auxiliary_datainput_data

Input data: Segmentation of the sample area with segment classes but without filter pipelines assigned.

sample_pcl_paddy.las

Jul 5, 2022 - 3D Point Cloud from Nakadake Sanroku Kiln Site Center, Japan: Sample Data for the Application of Adaptive Filtering with the AFwizard

Unknown - 4.0 MB -

working_data

3D point cloud of a sub-area that represents segments of class "paddy".

sample_pcl_ridge.las

Jul 5, 2022 - 3D Point Cloud from Nakadake Sanroku Kiln Site Center, Japan: Sample Data for the Application of Adaptive Filtering with the AFwizard