3D Spatial Data Processing

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File Type: Data

1 to 9 of 9 Results

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.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
training_VH_Kunene.csv Jul 24, 2023 - Classification of Types of Changes in Gully Environments Using Time Series Forest Algorithm [data] Comma Separated Values - 3.4 MB - MD5: a241c5fa94335ceb6bb16b6eba3528ec Data
nkd_fpl_paddy_LT.json Jul 5, 2022 - 3D Point Cloud from Nakadake Sanroku Kiln Site Center, Japan: Sample Data for the Application of Adaptive Filtering with the AFwizard JSON - 312 B - MD5: a5835047e1a69987e02599d7fc1821c6 working_data Filter pipeline for segments of class "paddy field".
nkd_fpl_slope_LT.json Jul 5, 2022 - 3D Point Cloud from Nakadake Sanroku Kiln Site Center, Japan: Sample Data for the Application of Adaptive Filtering with the AFwizard JSON - 300 B - MD5: 1fe264da9d9691837fb718f99cf96803 working_data Filter pipeline for segments of class "slope" and "ridge".
nkd_fpl_valley_TF.json Jul 5, 2022 - 3D Point Cloud from Nakadake Sanroku Kiln Site Center, Japan: Sample Data for the Application of Adaptive Filtering with the AFwizard JSON - 563 B - MD5: 5f845e8634511fea8aa1cde9d3ad288f working_data Filter pipeline for segments of class "valley".
nkd_sgm_assigned_TF.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 - 18.4 KB - MD5: cb34ffb4e3214f613330c72a9093c120 working_data Segmentation of the sample area with segment classes and the adapted filter pipelines assigned.
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.

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.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