3D Spatial Data Processing

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Publication Year: 2023

1 to 10 of 31 Results

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
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
Prediction_VH_Kunene-2.tab Jul 24, 2023 - Classification of Types of Changes in Gully Environments Using Time Series Forest Algorithm [data] Tabular Data - 7.6 MB - 55 Variables, 12422 Observations - UNF:6:KVUhApCn+Ker99oncknXzA== Data
Prediction_VH_Kunene.csv Jul 24, 2023 - Classification of Types of Changes in Gully Environments Using Time Series Forest Algorithm [data] Comma Separated Values - 95.8 KB - MD5: e7610e57ac4f1415f3d11a64963c8181 Data
target_very_big_Kunene_VH.csv Jul 24, 2023 - Classification of Types of Changes in Gully Environments Using Time Series Forest Algorithm [data] Comma Separated Values - 7.7 MB - MD5: 923572a230d9fd56a22c4db0c40c8c86 Data

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

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

Prediction_VH_Kunene-2.tab

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

Tabular Data - 7.6 MB - 55 Variables, 12422 Observations -

Data

Prediction_VH_Kunene.csv

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

Comma Separated Values - 95.8 KB -

Data

target_very_big_Kunene_VH.csv

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

Comma Separated Values - 7.7 MB -

Data

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