TVC Experiment 2018/19: LiDAR processed soil roughness ...
This dataset contains the processed LiDAR data of Lange et al. (2021) (https://doi.pangaea.de/10.1594/PANGAEA.934387), as part of Environment and Climate Change Canada's 2018-2019 Trail Valley Creek Snow Experiment (TVC Experiment 18/19). These measurements were collected to evaluate soil rough...
| Main Authors: | , , , , |
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| Format: | Dataset |
| Language: | unknown |
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Zenodo
2024
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| Subjects: | |
| Online Access: | https://dx.doi.org/10.5281/zenodo.10794979 https://zenodo.org/doi/10.5281/zenodo.10794979 |
| Summary: | This dataset contains the processed LiDAR data of Lange et al. (2021) (https://doi.pangaea.de/10.1594/PANGAEA.934387), as part of Environment and Climate Change Canada's 2018-2019 Trail Valley Creek Snow Experiment (TVC Experiment 18/19). These measurements were collected to evaluate soil roughness impacts on airborne and satellite radar measurements to better understand snow-radar interactions in a tundra environment. The measurements were around the Trail Valley Creek research station (https://www.trailvalleycreek.ca/) in Northwest Territories, Canada. Three periods of ground measurement took place in November 2018, January 2019, and March 2019. The dataset consists of LiDAR estimates of surface roughness statistics including the Root Mean Square (RMS) height and correlation length for a 100 m footprint around all in situ snowpit survey sites. ... : The original dataset was collected by Lange et al. (2021) and can be retrieved here: https://doi.pangaea.de/10.1594/PANGAEA.934387 ... |
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