Topographic LiDAR surveys of rivers in Alaska, July 24-26, 2019 ...
The U.S. Geological Survey in collaboration with the U.S. Army Corps of Engineers Cold Regions Research and Engineering Laboratory (CRREL) collected topographic LiDAR surveys of four rivers in Alaska from July 24-26, 2019 to support research related to remote sensing of river discharge. Data were ac...
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U.S. Geological Survey
2022
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Online Access: | https://dx.doi.org/10.5066/p9ruoeh5 https://www.sciencebase.gov/catalog/item/5db09e1ae4b0b0c58b56e17a |
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ftdatacite:10.5066/p9ruoeh5 2023-06-11T04:10:59+02:00 Topographic LiDAR surveys of rivers in Alaska, July 24-26, 2019 ... Kinzel, Paul J Assimaki, Dominic Legleiter, Carl J Green, Carl 2022 https://dx.doi.org/10.5066/p9ruoeh5 https://www.sciencebase.gov/catalog/item/5db09e1ae4b0b0c58b56e17a unknown U.S. Geological Survey Dataset dataset 2022 ftdatacite https://doi.org/10.5066/p9ruoeh5 2023-05-02T11:03:49Z The U.S. Geological Survey in collaboration with the U.S. Army Corps of Engineers Cold Regions Research and Engineering Laboratory (CRREL) collected topographic LiDAR surveys of four rivers in Alaska from July 24-26, 2019 to support research related to remote sensing of river discharge. Data were acquired for the Matanuska, Chena, Salcha, and Tanana Rivers using a Riegl VQ-580 LiDAR. The LiDAR was installed on a Robinson R44 Raven helicopter in a HeliPod that was designed and operated by CRREL. The LiDAR data included as part of this release include: a bare earth digital elevation model (DEM) in GeoTiff format and lidar point files in laz format for each river surveyed. Additionally, CRREL reports for each river surveyed are included as part of this data release. Several imagery data sets were collected coincident with the lidar surveys but will be part of a separate data release. ... Dataset Cold Regions Research and Engineering Laboratory Alaska DataCite Metadata Store (German National Library of Science and Technology) |
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DataCite Metadata Store (German National Library of Science and Technology) |
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description |
The U.S. Geological Survey in collaboration with the U.S. Army Corps of Engineers Cold Regions Research and Engineering Laboratory (CRREL) collected topographic LiDAR surveys of four rivers in Alaska from July 24-26, 2019 to support research related to remote sensing of river discharge. Data were acquired for the Matanuska, Chena, Salcha, and Tanana Rivers using a Riegl VQ-580 LiDAR. The LiDAR was installed on a Robinson R44 Raven helicopter in a HeliPod that was designed and operated by CRREL. The LiDAR data included as part of this release include: a bare earth digital elevation model (DEM) in GeoTiff format and lidar point files in laz format for each river surveyed. Additionally, CRREL reports for each river surveyed are included as part of this data release. Several imagery data sets were collected coincident with the lidar surveys but will be part of a separate data release. ... |
format |
Dataset |
author |
Kinzel, Paul J Assimaki, Dominic Legleiter, Carl J Green, Carl |
spellingShingle |
Kinzel, Paul J Assimaki, Dominic Legleiter, Carl J Green, Carl Topographic LiDAR surveys of rivers in Alaska, July 24-26, 2019 ... |
author_facet |
Kinzel, Paul J Assimaki, Dominic Legleiter, Carl J Green, Carl |
author_sort |
Kinzel, Paul J |
title |
Topographic LiDAR surveys of rivers in Alaska, July 24-26, 2019 ... |
title_short |
Topographic LiDAR surveys of rivers in Alaska, July 24-26, 2019 ... |
title_full |
Topographic LiDAR surveys of rivers in Alaska, July 24-26, 2019 ... |
title_fullStr |
Topographic LiDAR surveys of rivers in Alaska, July 24-26, 2019 ... |
title_full_unstemmed |
Topographic LiDAR surveys of rivers in Alaska, July 24-26, 2019 ... |
title_sort |
topographic lidar surveys of rivers in alaska, july 24-26, 2019 ... |
publisher |
U.S. Geological Survey |
publishDate |
2022 |
url |
https://dx.doi.org/10.5066/p9ruoeh5 https://www.sciencebase.gov/catalog/item/5db09e1ae4b0b0c58b56e17a |
genre |
Cold Regions Research and Engineering Laboratory Alaska |
genre_facet |
Cold Regions Research and Engineering Laboratory Alaska |
op_doi |
https://doi.org/10.5066/p9ruoeh5 |
_version_ |
1768385764831264768 |