Anders, Katharina; Eberlein, Stefan; Höfle, Bernhard (2023): Hourly Terrestrial Laser Scanning Point Clouds of Snow Cover in the Area of the Schneeferner, Zugspitze, Germany [dataset]. PANGAEA, https://doi.org/10.1594/PANGAEA.941550
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Abstract:
The near-continuous time series of point clouds was acquired in the snow-covered area of the Schneeferner at the Zugspitze mountain in Germany using hourly terrestrial laser scanning (TLS) over a period of five days in April 2018. The dataset comprises around 130 epochs of 10 to 25 million points per scan with centimeter-scale accuracy and point spacing. The 4D geospatial dataset of the experimental near-continuous laser scanning setup can be used for analysis of snow cover dynamics and in general method development for change analysis of natural scenes using laser scanning time series.
Keyword(s):
Supplement to:
Anders, Katharina; Winiwarter, Lukas; Höfle, Bernhard (2022): Improving Change Analysis From Near-Continuous 3D Time Series by Considering Full Temporal Information. IEEE Geoscience and Remote Sensing Letters, 19, 1-5, https://doi.org/10.1109/LGRS.2022.3148920
Further details:
Anders, Katharina; Eberlein, Stefan; Höfle, Bernhard (2021): Hourly Terrestrial Laser Scanning Point Clouds of the Snow Cover in the Area of the Schneeferner, Zugspitze, Germany. Schneeferner_Hourly_TLS_2018_meta.pdf
Project(s):
Coverage:
Latitude: 47.416673 * Longitude: 10.979519
Date/Time Start: 2018-04-17T14:03:22 * Date/Time End: 2018-04-23T09:00:27
Minimum Elevation: 2714.0 m * Maximum Elevation: 2714.0 m
Parameter(s):
| # | Name | Short Name | Unit | Principal Investigator | Method/Device | Comment |
|---|---|---|---|---|---|---|
| 1 | DATE/TIME | Date/Time | Anders, Katharina | Geocode | ||
| 2 | Binary Object | Binary | Anders, Katharina | one point cloud (laz-format) | ||
| 3 | Binary Object | Binary | Anders, Katharina | metadata (acquisition settings) | ||
| 4 | Binary Object | Binary | Anders, Katharina | rigid transformation matrix |
License:
Creative Commons Attribution 4.0 International (CC-BY-4.0)
Status:
Curation Level: Basic curation (CurationLevelB)
Size:
387 data points