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3D point cloud of the Hundsalm ice cave

3D point cloud of the Hundsalm ice cave acquired with a Riegl VZ-2000i Terrestrial Laser Scanner on 2020-05-15, 2020-06-23 and 2020-07-03. Individual point clouds acquired from 255 scan positions were co-registered taking into account potential changes in snow, firn and ice content between the acquisition campaigns. The final data set reflects the snow, firn and ice conditions of 2020-07-03 and contains 3D points with an average spatial resolution of 2 cm. Points are classified into 4 classes: 1 = above ground points (e.g. vegetation) outside the cave, 2 = ground points outside the cave, 3 = points representing the cave's rock surface, 4 = points representing the snow, firn and ice surface in the cave. The points are stored in ETRS89/UTM zone 32N coordinates (EPSG:25832) and include, beside of the classification, an intensity attribute.

Hourly Terrestrial Laser Scanning Point Clouds of Snow Cover in the Area of the Schneeferner, Zugspitze, Germany

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.

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