Data · dataset · 2025
Multi-temporal 3D Models of Antarctic Grounded Ice Cliff for Calving Monitoring
Listed in Teesside University Research Data Repository
(For the rendered version, please see README.pdf) Dataset This is the dataset of the paper "Fine-scale Antarctic Grounded Ice Cliff 3D Calving Monitoring based on Multi-temporal UAV Photogrammetry Without Ground Control".
Description
The dataset contains geo-registrated multitemporal meshes recording the calving process of an ice cliff in Antarctica and ice cliff calving detection results. Multitemporal meshes The meshes were generated from UAV photogrammetry and co-alignment technique.
The dataset is a single CloudCompare `.bin` file, `Ice_cliff_multitemporal_mesh.bin`. It contains meshes generated by Metashape from each epoch. The file structure is shown in the below image.
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Each subfolder contains a mesh of the ice cliff at `yyyymmdd` day. The ice cliff is located between the Qinling station area (74°56' S, 163° 42' E) and the Nansen Ice shelf, Inexpressive Island in Victoria Land, East Antarctica. The length of its coastline is approximately 0.89 km.
The UAV for collecting aerial images was a DJI Mavic 2 Pro drone, which carries a Hasselblad L1D-20c gimbal camera. Its 28 mm-equivalent lens has a 77° field of view (FoV). From 30-Jan to 25-Feb 2022, 10 flights were performed with the same flight parameters in 26 days.
The date of flights were 30-Jan, 31-Jan, 1-Feb, 5-Feb, 7-Feb, 10-Feb, 13-Feb, 16-Feb, 17-Feb and 25-Feb. |Parameter name| Value| |----------------------| ----------------------------------- Flying height | 100 m Image front/sidelap | 80% / 60% \# of images planned | 330 GSD | 2.1 cm Image coverage | 159 $\times$ 106 m Calving detection results In the `\result` folder stores a series of point cloud files `mmdd-mmdd_diff.ply`.
They are calving object detection results of our paper.
Links
Where it is published
- DOI doi.org/10.17632/fvt6r84zmm.1 ↗
DOI / persistent id · from researchdata tees ac uk
Catalogue records · 1
- OAI-PMH record data.mendeley.com/oai?verb=GetRecord&metadataPrefix=oai_dc&identifier=oai%3Adata… ↗
metadata API · from researchdata tees ac uk
Topics
- From keywords
- Earth & Environmental Science
- Inferred from text
- Image 75%
Provenance · 1 source records, 7 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| Teesside University Research Data Repository | oai:data.mendeley.com/fvt6r84zmm.1 | 10 h ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| access_level | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].local:field:earth-environmental | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[modality].local:modality:image | enrichment · researchdata tees ac uk | keyword-concept-rules@1.0.0 | title+description (75%) |
| description | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | /metadata/dc/description |
| license | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | /metadata/dc/rights |
| publication_date | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| title | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | /metadata/dc/title |