Atqasuk NIMS grid LiDAR photographs 2012
At the end of the summer 2012 we took light detection and ranging (LiDAR) measurements to depict Digital Elevation Models (DEMs) of the tundra vegetation within the Networked Info-mechanical System (NIMS) site in Atqasuk, Alaska. A set of photographs was taken at the time of the data collection. Thi...
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Arctic Data Center
2013
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ftdatacite:10.18739/a2xd0qz2w 2023-05-15T18:40:17+02:00 Atqasuk NIMS grid LiDAR photographs 2012 Vargas-Zesati, Sergio Tweedie, Craig E. Oberbauer, Steven Hollister, Robert 2013 text/xml https://dx.doi.org/10.18739/a2xd0qz2w https://arcticdata.io/catalog/view/doi:10.18739/A2XD0QZ2W en eng Arctic Data Center EARTH SCIENCE > BIOSPHERE > VEGETATION > VEGETATION COVER EARTH REMOTE SENSING INSTRUMENTS > ACTIVE REMOTE SENSING > PROFILERS/SOUNDERS > LIDAR/LASER SOUNDERS > LIDAR > LIGHT DETECTION AND RANGING FIELD SURVEY GRID 30 METERS TO 100 METERS ANNUAL biota dataset Dataset 2013 ftdatacite https://doi.org/10.18739/a2xd0qz2w 2021-11-05T12:55:41Z At the end of the summer 2012 we took light detection and ranging (LiDAR) measurements to depict Digital Elevation Models (DEMs) of the tundra vegetation within the Networked Info-mechanical System (NIMS) site in Atqasuk, Alaska. A set of photographs was taken at the time of the data collection. This includes a set of panoramic pictures taken by the researcher and a set taken by the LiDAR device itself. The LiDAR equipment was placed in six different positions around the NIMS grid targeting the actual grid. Dataset Tundra Alaska DataCite Metadata Store (German National Library of Science and Technology) |
institution |
Open Polar |
collection |
DataCite Metadata Store (German National Library of Science and Technology) |
op_collection_id |
ftdatacite |
language |
English |
topic |
EARTH SCIENCE > BIOSPHERE > VEGETATION > VEGETATION COVER EARTH REMOTE SENSING INSTRUMENTS > ACTIVE REMOTE SENSING > PROFILERS/SOUNDERS > LIDAR/LASER SOUNDERS > LIDAR > LIGHT DETECTION AND RANGING FIELD SURVEY GRID 30 METERS TO 100 METERS ANNUAL biota |
spellingShingle |
EARTH SCIENCE > BIOSPHERE > VEGETATION > VEGETATION COVER EARTH REMOTE SENSING INSTRUMENTS > ACTIVE REMOTE SENSING > PROFILERS/SOUNDERS > LIDAR/LASER SOUNDERS > LIDAR > LIGHT DETECTION AND RANGING FIELD SURVEY GRID 30 METERS TO 100 METERS ANNUAL biota Vargas-Zesati, Sergio Tweedie, Craig E. Oberbauer, Steven Hollister, Robert Atqasuk NIMS grid LiDAR photographs 2012 |
topic_facet |
EARTH SCIENCE > BIOSPHERE > VEGETATION > VEGETATION COVER EARTH REMOTE SENSING INSTRUMENTS > ACTIVE REMOTE SENSING > PROFILERS/SOUNDERS > LIDAR/LASER SOUNDERS > LIDAR > LIGHT DETECTION AND RANGING FIELD SURVEY GRID 30 METERS TO 100 METERS ANNUAL biota |
description |
At the end of the summer 2012 we took light detection and ranging (LiDAR) measurements to depict Digital Elevation Models (DEMs) of the tundra vegetation within the Networked Info-mechanical System (NIMS) site in Atqasuk, Alaska. A set of photographs was taken at the time of the data collection. This includes a set of panoramic pictures taken by the researcher and a set taken by the LiDAR device itself. The LiDAR equipment was placed in six different positions around the NIMS grid targeting the actual grid. |
format |
Dataset |
author |
Vargas-Zesati, Sergio Tweedie, Craig E. Oberbauer, Steven Hollister, Robert |
author_facet |
Vargas-Zesati, Sergio Tweedie, Craig E. Oberbauer, Steven Hollister, Robert |
author_sort |
Vargas-Zesati, Sergio |
title |
Atqasuk NIMS grid LiDAR photographs 2012 |
title_short |
Atqasuk NIMS grid LiDAR photographs 2012 |
title_full |
Atqasuk NIMS grid LiDAR photographs 2012 |
title_fullStr |
Atqasuk NIMS grid LiDAR photographs 2012 |
title_full_unstemmed |
Atqasuk NIMS grid LiDAR photographs 2012 |
title_sort |
atqasuk nims grid lidar photographs 2012 |
publisher |
Arctic Data Center |
publishDate |
2013 |
url |
https://dx.doi.org/10.18739/a2xd0qz2w https://arcticdata.io/catalog/view/doi:10.18739/A2XD0QZ2W |
genre |
Tundra Alaska |
genre_facet |
Tundra Alaska |
op_doi |
https://doi.org/10.18739/a2xd0qz2w |
_version_ |
1766229584054845440 |