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                <identifier>oai:data.mendeley.com/fvt6r84zmm.1</identifier>
                <datestamp>2025-06-13T07:58:38Z</datestamp>
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    <dc:creator id="https://orcid.org/0000-0001-6849-4973">Zhang, Shuhang</dc:creator>
    <dc:title>Multi-temporal 3D Models of Antarctic Grounded Ice Cliff for Calving Monitoring</dc:title>
    <dc:publisher>Mendeley Data</dc:publisher>
    <dc:description>(For the rendered version, please see README.pdf)
Dataset
This is the dataset of the paper &quot;Fine-scale Antarctic Grounded Ice Cliff 3D Calving Monitoring based on Multi-temporal UAV Photogrammetry Without Ground Control&quot;. 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. Each subfolder contains a mesh of the ice cliff at `yyyymmdd` day.

The ice cliff is located between the Qinling station area (74°56&apos; S, 163° 42&apos; 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.</dc:description>
    <dc:subject>Antarctica</dc:subject>
    <dc:subject>Photogrammetric 3D Model</dc:subject>
    <dc:subject>Change Detection</dc:subject>
    <dc:subject>Iceberg</dc:subject>
    <dc:contributor id="https://orcid.org/0000-0003-3475-118X">Zheng, Lei</dc:contributor>
    <dc:contributor>Zhou, Huizhou</dc:contributor>
    <dc:contributor>Li, Jie</dc:contributor>
    <dc:contributor>Xia, Yinyue</dc:contributor>
    <dc:contributor>Zhang, Wuming</dc:contributor>
    <dc:contributor>Cheng, Xiao</dc:contributor>
    <dc:type>Dataset</dc:type>
    <dc:identifier>doi:10.17632/fvt6r84zmm.1</dc:identifier>
    <dc:identifier>oai:data.mendeley.com/fvt6r84zmm.1</dc:identifier>
    <dc:rights>Creative Commons Attribution 4.0 International</dc:rights>
    <dc:rights>http://creativecommons.org/licenses/by/4.0</dc:rights>
    <dc:relation>https://data.mendeley.com/datasets/fvt6r84zmm</dc:relation>
    <dc:date>2025-06-13T07:58:38Z</dc:date>
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