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Part 1: Document Description
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Citation |
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Title: |
3D Point Cloud from Nakadake Sanroku Kiln Site Center, Japan: Sample Data for the Application of Adaptive Filtering with the AFwizard |
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Identification Number: |
doi:10.11588/data/TJNQZG |
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Distributor: |
heiDATA |
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Date of Distribution: |
2022-07-05 |
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Version: |
2 |
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Bibliographic Citation: |
Shinoto, Maria; Doneus, Michael; Haijima, Hideyuki; Weiser, Hannah; Zahs, Vivien; Kempf, Dominic; Daskalakis, Gwydion; Höfle, Bernhard; Nakamura, Naoko, 2022, "3D Point Cloud from Nakadake Sanroku Kiln Site Center, Japan: Sample Data for the Application of Adaptive Filtering with the AFwizard", https://doi.org/10.11588/data/TJNQZG, heiDATA, V2 |
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Citation |
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Title: |
3D Point Cloud from Nakadake Sanroku Kiln Site Center, Japan: Sample Data for the Application of Adaptive Filtering with the AFwizard |
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Alternative Title: |
AFwizard sample data |
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Identification Number: |
doi:10.11588/data/TJNQZG |
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Authoring Entity: |
Shinoto, Maria (Institute for Prehistory, Protohistory and Near Eastern Archaeology, Heidelberg University, Germany) |
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Doneus, Michael (Department of Prehistoric and Historical Archaeology, University of Vienna, Austria) |
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Haijima, Hideyuki (Nakanihon Air Co. Ltd., Nagoya, Japan) |
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Weiser, Hannah (3D Geospatial Data Processing Group, Institute of Geography, Heidelberg University, Germany) |
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Zahs, Vivien (3D Geospatial Data Processing Group, Institute of Geography, Heidelberg University, Germany) |
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Kempf, Dominic (Interdisciplinary Center for Scientific Computing (IWR), Heidelberg University) |
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Daskalakis, Gwydion (Interdisciplinary Center for Scientific Computing (IWR), Heidelberg University) |
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Höfle, Bernhard (3D Geospatial Data Processing Group, Institute of Geography, Heidelberg University, Germany) |
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Nakamura, Naoko (Research Center for Archaeology, Kagoshima University, Japan) |
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Grant Number: |
A-15H01902 |
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Distributor: |
heiDATA |
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Access Authority: |
Shinoto, Maria |
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Holdings Information: |
https://doi.org/10.11588/data/TJNQZG |
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Study Scope |
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Keywords: |
Arts and Humanities, Earth and Environmental Sciences, Japan, Adaptive 3D point cloud filtering, Digital Terrain Model (DTM), archaeological prospection, AFwizard |
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Abstract: |
This data set represents 3D point clouds acquired with LiDAR technology and related files from a subregion of 150*436 sqm in the ancient Nakadake Sanroku Kiln Site Center in South Japan. It is a densely vegetated mountainous region with varied topography and vegetation. The data set contains the original point cloud (reduced from a density of 5477 points per square meter to 100 points per square meter), a segmentation of the area based on characteristics in vegetation and topography, and filter pipelines for segments with different characteristics, and other data necessary. The data serve to test the AFwizard software which can create a DTM from the point cloud with varying filter and filter parameter selections based on varying segment characteristics (https://github.com/ssciwr/afwizard). <br /> <br /> The AFwizard adds flexibility to ground point filtering of 3D point clouds, which is a crucial step in a variety of applications of LiDAR technology. Digital Terrain Models (DTM) derived from filtered 3D point clouds serve various purposes and therefore, rather than creating one representation of the terrain that is supposed to be "true", a variety of models can be derived from the same point cloud according to the intended usage of the DTM. <br /> <br /> The sample data were acquired during an archaeological research project in a mountainous and densely forested region in South Japan -- the Nakadake-Sanroku Kiln Site Center: LiDAR data were acquired in a subregion of 0.5 sqkm, a relatively small area characterized by frequent and sudden changes in topography and vegetation. The point cloud is very dense due to the technology chosen (UAV multicopter GLYPHON DYNAMICS GD-X8-SP; LiDAR scanner RIEGL VUX-1 UAV). <br /> <br /> Usage of the data is restricted to the citation of the article mentioned below. <br /> <br /> Version 2.01: 2023-05-11; Article citation updated; 2022-07-21; Documentation (HowTo - Minimal Workflow) updated, data files tagged. |
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Date of Collection: |
2018-05-16-2018-05-16 |
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Country: |
Japan |
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Geographic Coverage: |
Kagoshima, Hanaze (Nakadake-Sanroku Kiln Site Center), Minami-Satsuma City |
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Geographic Unit(s): |
village subregion |
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Geographic Bounding Box: |
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Methodology and Processing |
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Sources Statement |
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Data Access |
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Notes: |
The "related publication" must be cited when the data are used. |
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Other Study Description Materials |
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Related Publications |
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Citation |
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Title: |
Doneus, Michael, Bernhard Höfle, Dominic Kempf, Gwydion Daskalakis, and Maria Shinoto. “Human-in-the-Loop Development of Spatially Adaptive Ground Point Filtering Pipelines—An Archaeological Case Study.” Archaeological Prospection 29, no. 4 (2022): 503–24. |
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Identification Number: |
https://doi.org/10.1002/arp.1873 |
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Bibliographic Citation: |
Doneus, Michael, Bernhard Höfle, Dominic Kempf, Gwydion Daskalakis, and Maria Shinoto. “Human-in-the-Loop Development of Spatially Adaptive Ground Point Filtering Pipelines—An Archaeological Case Study.” Archaeological Prospection 29, no. 4 (2022): 503–24. |
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Label: |
How To - Minimal Workflow.pdf |
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Notes: |
application/pdf |
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Label: |
nkd_fpl_paddy_LT.json |
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Text: |
Filter pipeline for segments of class "paddy field". |
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Notes: |
application/json |
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Label: |
nkd_fpl_slope_LT.json |
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Text: |
Filter pipeline for segments of class "slope" and "ridge". |
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Notes: |
application/json |
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Label: |
nkd_fpl_valley_TF.json |
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Text: |
Filter pipeline for segments of class "valley". |
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Notes: |
application/json |
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Label: |
nkd_pcl_epsg6670.laz |
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Text: |
Input data: 3D point cloud from the sample region to which the filters are applied with the AFwizard. |
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Notes: |
application/octet-stream |
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Label: |
nkd_sgm.geojson |
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Text: |
Input data: Segmentation of the sample area with segment classes but without filter pipelines assigned. |
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Notes: |
application/geo+json |
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Label: |
nkd_sgm_assigned_TF.geojson |
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Text: |
Segmentation of the sample area with segment classes and the adapted filter pipelines assigned. |
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Notes: |
application/geo+json |
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Label: |
sample_pcl_paddy.las |
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Text: |
3D point cloud of a sub-area that represents segments of class "paddy". |
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Notes: |
application/octet-stream |
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Label: |
sample_pcl_ridge.las |
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Text: |
3D point cloud of a sub-area that represents segments of class "ridge". |
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Notes: |
application/octet-stream |
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Label: |
sample_pcl_slope.las |
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Text: |
3D point cloud of a sub-area that represents segments of class "slope". |
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Notes: |
application/octet-stream |
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Label: |
sample_pcl_valley.las |
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Text: |
3D point cloud of a sub-area that represents segments of class "valley". |
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Notes: |
application/octet-stream |