3D Spatial Data Processing

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11 to 17 of 17 Results

UAV laser scanning and terrestrial laser scanning point clouds of snow-on and snow-off conditions of a forest plot in the black forest at Hundseck, Baden-Württemberg, Germany [data] Feb 1, 2023 Winiwarter, Lukas; Anders, Katharina; Battuvshin, Guyen; Menzel, Lucas; Höfle, Bernhard, 2023, "UAV laser scanning and terrestrial laser scanning point clouds of snow-on and snow-off conditions of a forest plot in the black forest at Hundseck, Baden-Württemberg, Germany [data]", https://doi.org/10.11588/data/UCPTP1, heiDATA, V1 This dataset consists of 3D point clouds acquired via UAV laser scanning (ULS) of a forest plot in the Black Forest in Hundseck, Germany. The plot was captured under snow conditions in January 2021, and the acquisition was repeated under snow-off conditions in February 2021. Addi...
Multi Profile Curvature Analysis (MPCA) algorithm for gully detection using TanDEM X Digital elevation model. Jul 11, 2023 Vallejo Orti, Miguel; Negussie, Kaleb; Corral, Eva; Höfle, Bernhard; Bubenzer, Olaf, 2023, "Multi Profile Curvature Analysis (MPCA) algorithm for gully detection using TanDEM X Digital elevation model.", https://doi.org/10.11588/data/A4KGYJ, heiDATA, V1 Characterization of micro-terrain features has been explored to detect convex and concave features in the terrain. The analysis of first and second derivatives of a function fitted to the terrain is a frequently used resource to describe terrain characteristics and to undertake G...
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] 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...
Gully detection with Inverse Morphological Reconstruction Algorithm [data] Dec 13, 2023 Vallejo Orti, Miguel; Negussie, Kaleb; Corral, Eva; Höfle, Bernhard; Bubenzer, Olaf, 2023, "Gully detection with Inverse Morphological Reconstruction Algorithm [data]", https://doi.org/10.11588/data/PXDR4M, heiDATA, V1 Characterization of micro-terrain features has been explored to detect gully objects in the terrain. An adaptation to the morphological reconstruction operator is implemented to detect gullies instead of buildings or other man-made structures. This operator can be configured to d...
Classification of Types of Changes in Gully Environments Using Time Series Forest Algorithm [data] Jan 16, 2024 Vallejo Orti, Miguel; Castillo, Carlos; Zahs, Vivien; Bubenzer, Olaf; Höfle, Bernhard, 2023, "Classification of Types of Changes in Gully Environments Using Time Series Forest Algorithm [data]", https://doi.org/10.11588/data/NSMM6P, heiDATA, V2, UNF:6:KVUhApCn+Ker99oncknXzA== [fileUNF] This code implements the TimeSeriesForest algorithm to classify different types of changes in gully environments. i)gully topographical change, ii)no change outside gully, iii) no change inside gully, and iv) non-topographical change. The algorithm is specifically designed for ti...
Manually labeled terrestrial laser scanning point clouds of individual trees for leaf-wood separation Jan 18, 2024 Weiser, Hannah; Ulrich, Veit; Winiwarter, Lukas; Esmorís, Alberto M.; Höfle, Bernhard, 2024, "Manually labeled terrestrial laser scanning point clouds of individual trees for leaf-wood separation", https://doi.org/10.11588/data/UUMEDI, heiDATA, V1, UNF:6:9U7BGTgjjsWd1GduT1qXjA== [fileUNF] This dataset contains 11 terrestrial laser scanning (TLS) tree point clouds (in .LAZ format v1.4) of 7 different species, which have been manually labeled into leaf and wood points. The labels are contained in the Classification field (0 = wood, 1 = leaf). The point clouds have a...
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...

UAV laser scanning and terrestrial laser scanning point clouds of snow-on and snow-off conditions of a forest plot in the black forest at Hundseck, Baden-Württemberg, Germany [data]

Feb 1, 2023

Winiwarter, Lukas; Anders, Katharina; Battuvshin, Guyen; Menzel, Lucas; Höfle, Bernhard, 2023, "UAV laser scanning and terrestrial laser scanning point clouds of snow-on and snow-off conditions of a forest plot in the black forest at Hundseck, Baden-Württemberg, Germany [data]", https://doi.org/10.11588/data/UCPTP1, heiDATA, V1

This dataset consists of 3D point clouds acquired via UAV laser scanning (ULS) of a forest plot in the Black Forest in Hundseck, Germany. The plot was captured under snow conditions in January 2021, and the acquisition was repeated under snow-off conditions in February 2021. Addi...

Multi Profile Curvature Analysis (MPCA) algorithm for gully detection using TanDEM X Digital elevation model.

Jul 11, 2023

Vallejo Orti, Miguel; Negussie, Kaleb; Corral, Eva; Höfle, Bernhard; Bubenzer, Olaf, 2023, "Multi Profile Curvature Analysis (MPCA) algorithm for gully detection using TanDEM X Digital elevation model.", https://doi.org/10.11588/data/A4KGYJ, heiDATA, V1

Characterization of micro-terrain features has been explored to detect convex and concave features in the terrain. The analysis of first and second derivatives of a function fitted to the terrain is a frequently used resource to describe terrain characteristics and to undertake G...

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]

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...

Gully detection with Inverse Morphological Reconstruction Algorithm [data]

Dec 13, 2023

Vallejo Orti, Miguel; Negussie, Kaleb; Corral, Eva; Höfle, Bernhard; Bubenzer, Olaf, 2023, "Gully detection with Inverse Morphological Reconstruction Algorithm [data]", https://doi.org/10.11588/data/PXDR4M, heiDATA, V1

Characterization of micro-terrain features has been explored to detect gully objects in the terrain. An adaptation to the morphological reconstruction operator is implemented to detect gullies instead of buildings or other man-made structures. This operator can be configured to d...

Classification of Types of Changes in Gully Environments Using Time Series Forest Algorithm [data]

Jan 16, 2024

Vallejo Orti, Miguel; Castillo, Carlos; Zahs, Vivien; Bubenzer, Olaf; Höfle, Bernhard, 2023, "Classification of Types of Changes in Gully Environments Using Time Series Forest Algorithm [data]", https://doi.org/10.11588/data/NSMM6P, heiDATA, V2, UNF:6:KVUhApCn+Ker99oncknXzA== [fileUNF]

This code implements the TimeSeriesForest algorithm to classify different types of changes in gully environments. i)gully topographical change, ii)no change outside gully, iii) no change inside gully, and iv) non-topographical change. The algorithm is specifically designed for ti...

Manually labeled terrestrial laser scanning point clouds of individual trees for leaf-wood separation

Jan 18, 2024

Weiser, Hannah; Ulrich, Veit; Winiwarter, Lukas; Esmorís, Alberto M.; Höfle, Bernhard, 2024, "Manually labeled terrestrial laser scanning point clouds of individual trees for leaf-wood separation", https://doi.org/10.11588/data/UUMEDI, heiDATA, V1, UNF:6:9U7BGTgjjsWd1GduT1qXjA== [fileUNF]

This dataset contains 11 terrestrial laser scanning (TLS) tree point clouds (in .LAZ format v1.4) of 7 different species, which have been manually labeled into leaf and wood points. The labels are contained in the Classification field (0 = wood, 1 = leaf). The point clouds have a...

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...

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