Skull Cave LiDAR Point Cloud - TubeX
| dc.contributor.author | Whelley, Patrick | |
| dc.contributor.author | Garry, W. Brent | |
| dc.contributor.author | Young, Kelsey | |
| dc.contributor.author | Richardson, Jacob | |
| dc.date.accessioned | 2021-05-03T16:08:46Z | |
| dc.date.available | 2021-05-03T16:08:46Z | |
| dc.date.issued | 2021 | |
| dc.description | LiDAR scans were taken inside and outside the lava tube. Outside of the tube, the tripod was set up such that the scanner was between 1.5 and 2.5 m tall. Inside the tube the tripod was sometimes as short as 0.5 m. The VZ-400 is a near infrared (1550 nm) scanner. Geometric control was achieved using a pair of Trimble RB GPS antennae, one mounted on the LiDAR scanner (rover) and the other setup as a base station. In outside scans, before taking a LiDAR scan, the VZ-400 would use the GPSs to fix a real time kinematic (RTK) solution for the scanner’s location and then use that position (scan position) as a reference for LiDAR returns. Scan Positions were determined for in-tube scans (where GPS lock is not possible) in post processing by ensuring there was significant overlap between scans taken with GPS information and scans inside the mouth of a tube. Post processing was done using RIScan-Pro version 2 (scanner specific software). Also, in post-processing, overlapping areas of point clouds were merged and inaccuracies in roll, pitch and yaw, were resolved using a multi station adjustment routine and the data were projected in UTM coordinates. Once post processed, data were exported in “.las” format with LiDAR reflectance (infrared) saved as intensity. The point cloud is georeferenced and projected in UTM Zone 10 North and generally has < 1 cm point spacing, however spacing varies locally and depending on the distance from the scanner to the target. All data for Skull Cave are within a bounding box with the following WGS84 corner point coordinates: -121.51402,41.72896,-121.50808,41.73344. | en_US |
| dc.description.abstract | Archived are Light Detection and Ranging (LiDAR) data collected at Lava Beds National Monument by the NASA funded TUBEX project (Dr. Kelsey Young – PI) and the “LiDAR-Team” in 2017 and 2018. This team was led by Dr. Patrick Whelley and included Drs. W. Brent Garry and Jacob Richardson as well as the rest of the TUBEX Team. The instrument used to collect the LiDAR data was a Riegl VZ-400 tripod mounted terrestrial laser scanner (TLS). The data are tiled for storage and ease of download. | en_US |
| dc.description.sponsorship | Fieldwork, data collection, processing, and archiving were funded by the NASA Planetary Science and Technology Through Analog Research Program's TUBEX project (award number: NNX16AK11G), the NASA Goddard Instrument Field Team, and NASA’s SSERVI (Solar System Exploration Research Virtual Institute) GEODES (Geophysical Exploration Of the Dynamics and Evolution of the Solar System; award number: 80NSSC19M0216). Drs Whelley and Richardson were also partially supported by NASA under award number 80GSFC21M0002. | en_US |
| dc.identifier | https://doi.org/10.13016/oxyt-vg4c | |
| dc.identifier.uri | http://hdl.handle.net/1903/27004 | |
| dc.relation.isAvailableAt | College of Computer, Mathematical & Natural Sciences | |
| dc.relation.isAvailableAt | Geology | |
| dc.relation.isAvailableAt | Digital Repository at the University of Maryland | |
| dc.relation.isAvailableAt | University of Maryland (College Park, MD) | |
| dc.subject | LAS | en_US |
| dc.subject | Medicine Lake | en_US |
| dc.subject | Field Data | en_US |
| dc.subject | Lidar | en_US |
| dc.subject | Volcanism | en_US |
| dc.subject | Lava Flow | en_US |
| dc.subject | Lava Tube | en_US |
| dc.subject | Cave | en_US |
| dc.subject | Lava Beds National Monument | en_US |
| dc.subject | Modoc Crater | en_US |
| dc.title | Skull Cave LiDAR Point Cloud - TubeX | en_US |
| dc.type | Dataset | en_US |
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