3D Spatial Data Processing

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21 to 30 of 121 Results

QueRub_KA11_09_2019-09-03_q2_TLS-on_c.laz Jan 18, 2024 - Manually labeled terrestrial laser scanning point clouds of individual trees for leaf-wood separation Unknown - 52.6 MB - MD5: 514d3aec936dfd670d980cb95753c11e
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...
Raster_Operations_Clean_Code.R.txt Jan 16, 2024 - Classification of Types of Changes in Gully Environments Using Time Series Forest Algorithm [data] Plain Text - 3.3 KB - MD5: 4daddca6afb01d7f57044518e5ef2fe1 Code
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...
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
inverse_morphological_reconstruction.py Dec 13, 2023 - Gully detection with Inverse Morphological Reconstruction Algorithm [data] Plain Text - 6.5 KB - MD5: 4ec54adc08cabe8b9038e17bbd56c432 Code Code
MetaData_inverse_morphological_reconstuction.txt Dec 13, 2023 - Gully detection with Inverse Morphological Reconstruction Algorithm [data] Plain Text - 3.0 KB - MD5: a7e86100e18679c0ae4becc4923bdd1e Code Metadata
points_dem3.txt Dec 13, 2023 - Gully detection with Inverse Morphological Reconstruction Algorithm [data] Plain Text - 14.2 MB - MD5: 1436d7ccbcd3115606f0adf829b9bd92 Example of Input data
Metadata_TSF.txt Jul 24, 2023 - Classification of Types of Changes in Gully Environments Using Time Series Forest Algorithm [data] Plain Text - 4.1 KB - MD5: 32877e41621e27231bae303eda9f5d19 Documentation
Prediction_VH_Kunene-1.csv Jul 24, 2023 - Classification of Types of Changes in Gully Environments Using Time Series Forest Algorithm [data] Comma Separated Values - 1.7 MB - MD5: 2059b5ada7e507f6a7148a75118b19a6 Data

QueRub_KA11_09_2019-09-03_q2_TLS-on_c.laz

Jan 18, 2024 - Manually labeled terrestrial laser scanning point clouds of individual trees for leaf-wood separation

Unknown - 52.6 MB -

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...

Raster_Operations_Clean_Code.R.txt

Jan 16, 2024 - Classification of Types of Changes in Gully Environments Using Time Series Forest Algorithm [data]

Plain Text - 3.3 KB -

Code

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...

IMR_report.txt

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

Plain Text - 3.5 KB -

Example of Output data

inverse_morphological_reconstruction.py

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

Plain Text - 6.5 KB -

Code

MetaData_inverse_morphological_reconstuction.txt

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

Plain Text - 3.0 KB -

Code Metadata

points_dem3.txt

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

Plain Text - 14.2 MB -

Example of Input data

Metadata_TSF.txt

Jul 24, 2023 - Classification of Types of Changes in Gully Environments Using Time Series Forest Algorithm [data]

Plain Text - 4.1 KB -

Documentation

Prediction_VH_Kunene-1.csv

Jul 24, 2023 - Classification of Types of Changes in Gully Environments Using Time Series Forest Algorithm [data]

Comma Separated Values - 1.7 MB -

Data

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