Supplementary Files for "LROC NAC-derived meter-scale topography of the Moon's south polar landing sites: DTMs and their quality assessments"
Authors/Creators
Description
This Zenodo dataset and software archive contains polygon shapefiles of regions of interest (ROIs; e.g., Figure 3, DataS1/ROIs/*.shp), SfS-derived digital terrain models (DTMs; Figure 9, DataS1/DTMs/*.tif), their corresponding orthomosaics (Figure 10, DataS1/orthomosaics/*.tif), and height uncertainty maps (Figure 13, DataS1/uncertainties/*.tif).
These supplementary data (DataS1.zip) and the Python script (gdal_baseline_bidir.py) for computing RMS bidirectional slopes are provided under the CC BY 4.0 license.
0 – Associated Paper
Title: LROC NAC-derived meter-scale topography of the Moon’s south polar landing sites: DTMs and their quality assessments
Authors: Ryodo Hemmi, Hiroka Inoue, Hiroshi Kikuchi, Hiroyuki Sato, Hideaki Miyamoto, Hisashi Otake, and Mitsuo Yamamoto
Affiliations: Institute of Space and Astronautical Science / Japan Aerospace Exploration Agency; Gakushuin University; University of Tokyo
1 – Description
This deposit provides the supporting data for the associated paper.
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Datasets are distributed in GeoTIFF and ESRI Shapefile formats.
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A
Readme.txtfile describes dataset contents and rationale.
2 – Directory Contents
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Readme.txt— overview of dataset structure and details. -
ROIs/— shapefile containing polygons of regions of interest (e.g., Figure 3). The attribute table includes ROI names (CR1, GR1, GR2, LP1, MP1, MP2). -
DTMs/— 32-bit GeoTIFF files of SfS-derived DTMs (e.g., Figure 9). -
orthomosaics/— 32-bit GeoTIFF orthomosaics corresponding to the DTMs (e.g., Figure 10). -
uncertainties/— 32-bit GeoTIFF maps of height uncertainties for the corresponding DTMs (e.g., Figure 13).
Files
DataS1.zip
Files
(76.1 MB)
| Name | Size | Download all |
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md5:4ad67232e49b502897ecff197336da29
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76.1 MB | Preview Download |
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md5:a9fd08b220c41b10467c561bb53d5b08
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11.7 kB | Download |
Additional details
Software
- Repository URL
- https://github.com/ryodohemmi/public
- Programming language
- Python