Remotely Sensing the Morphometrics and Dynamics of a Cold Region Dune Field Using Historical Aerial Photography and Airborne LiDAR Data
This study uses an airborne Light Detection and Ranging (LiDAR) survey, historical aerial photography and historical climate data to describe the character and dynamics of the Nogahabara Sand Dunes, a sub-Arctic dune field in interior Alaska’s discontinuous permafrost zone. The Nogahabara Sand Dunes...
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ftmdpi:oai:mdpi.com:/2072-4292/10/5/792/ 2023-08-20T04:04:20+02:00 Remotely Sensing the Morphometrics and Dynamics of a Cold Region Dune Field Using Historical Aerial Photography and Airborne LiDAR Data Carson A. Baughman Benjamin M. Jones Karin L. Bodony Daniel H. Mann Chris F. Larsen Emily Himelstoss Jeremy Smith agris 2018-05-19 application/pdf https://doi.org/10.3390/rs10050792 EN eng Multidisciplinary Digital Publishing Institute Remote Sensing in Geology, Geomorphology and Hydrology https://dx.doi.org/10.3390/rs10050792 https://creativecommons.org/licenses/by/4.0/ Remote Sensing; Volume 10; Issue 5; Pages: 792 remote sensing LiDAR sand dunes permafrost migration sub-Arctic Text 2018 ftmdpi https://doi.org/10.3390/rs10050792 2023-07-31T21:32:10Z This study uses an airborne Light Detection and Ranging (LiDAR) survey, historical aerial photography and historical climate data to describe the character and dynamics of the Nogahabara Sand Dunes, a sub-Arctic dune field in interior Alaska’s discontinuous permafrost zone. The Nogahabara Sand Dunes consist of a 43-km2 area of active transverse and barchanoid dunes within a 3200-km2 area of vegetated dune and sand sheet deposits. The average dune height in the active portion of the dune field is 5.8 m, with a maximum dune height of 28 m. Dune spacing is variable with average crest-to-crest distances for select transects ranging from 66–132 m. Between 1952 and 2015, dunes migrated at an average rate of 0.52 m a−1. Dune movement was greatest between 1952 and 1978 (0.68 m a−1) and least between 1978 and 2015 (0.43 m a−1). Dunes migrated predominantly to the southeast; however, along the dune field margin, net migration was towards the edge of the dune field regardless of heading. Better constraining the processes controlling dune field dynamics at the Nogahabara dunes would provide information that can be used to model possible reactivation of more northerly dune fields and sand sheets in response to climate change, shifting fire regimes and permafrost thaw. Text Arctic Climate change permafrost MDPI Open Access Publishing Arctic Remote Sensing 10 5 792 |
institution |
Open Polar |
collection |
MDPI Open Access Publishing |
op_collection_id |
ftmdpi |
language |
English |
topic |
remote sensing LiDAR sand dunes permafrost migration sub-Arctic |
spellingShingle |
remote sensing LiDAR sand dunes permafrost migration sub-Arctic Carson A. Baughman Benjamin M. Jones Karin L. Bodony Daniel H. Mann Chris F. Larsen Emily Himelstoss Jeremy Smith Remotely Sensing the Morphometrics and Dynamics of a Cold Region Dune Field Using Historical Aerial Photography and Airborne LiDAR Data |
topic_facet |
remote sensing LiDAR sand dunes permafrost migration sub-Arctic |
description |
This study uses an airborne Light Detection and Ranging (LiDAR) survey, historical aerial photography and historical climate data to describe the character and dynamics of the Nogahabara Sand Dunes, a sub-Arctic dune field in interior Alaska’s discontinuous permafrost zone. The Nogahabara Sand Dunes consist of a 43-km2 area of active transverse and barchanoid dunes within a 3200-km2 area of vegetated dune and sand sheet deposits. The average dune height in the active portion of the dune field is 5.8 m, with a maximum dune height of 28 m. Dune spacing is variable with average crest-to-crest distances for select transects ranging from 66–132 m. Between 1952 and 2015, dunes migrated at an average rate of 0.52 m a−1. Dune movement was greatest between 1952 and 1978 (0.68 m a−1) and least between 1978 and 2015 (0.43 m a−1). Dunes migrated predominantly to the southeast; however, along the dune field margin, net migration was towards the edge of the dune field regardless of heading. Better constraining the processes controlling dune field dynamics at the Nogahabara dunes would provide information that can be used to model possible reactivation of more northerly dune fields and sand sheets in response to climate change, shifting fire regimes and permafrost thaw. |
format |
Text |
author |
Carson A. Baughman Benjamin M. Jones Karin L. Bodony Daniel H. Mann Chris F. Larsen Emily Himelstoss Jeremy Smith |
author_facet |
Carson A. Baughman Benjamin M. Jones Karin L. Bodony Daniel H. Mann Chris F. Larsen Emily Himelstoss Jeremy Smith |
author_sort |
Carson A. Baughman |
title |
Remotely Sensing the Morphometrics and Dynamics of a Cold Region Dune Field Using Historical Aerial Photography and Airborne LiDAR Data |
title_short |
Remotely Sensing the Morphometrics and Dynamics of a Cold Region Dune Field Using Historical Aerial Photography and Airborne LiDAR Data |
title_full |
Remotely Sensing the Morphometrics and Dynamics of a Cold Region Dune Field Using Historical Aerial Photography and Airborne LiDAR Data |
title_fullStr |
Remotely Sensing the Morphometrics and Dynamics of a Cold Region Dune Field Using Historical Aerial Photography and Airborne LiDAR Data |
title_full_unstemmed |
Remotely Sensing the Morphometrics and Dynamics of a Cold Region Dune Field Using Historical Aerial Photography and Airborne LiDAR Data |
title_sort |
remotely sensing the morphometrics and dynamics of a cold region dune field using historical aerial photography and airborne lidar data |
publisher |
Multidisciplinary Digital Publishing Institute |
publishDate |
2018 |
url |
https://doi.org/10.3390/rs10050792 |
op_coverage |
agris |
geographic |
Arctic |
geographic_facet |
Arctic |
genre |
Arctic Climate change permafrost |
genre_facet |
Arctic Climate change permafrost |
op_source |
Remote Sensing; Volume 10; Issue 5; Pages: 792 |
op_relation |
Remote Sensing in Geology, Geomorphology and Hydrology https://dx.doi.org/10.3390/rs10050792 |
op_rights |
https://creativecommons.org/licenses/by/4.0/ |
op_doi |
https://doi.org/10.3390/rs10050792 |
container_title |
Remote Sensing |
container_volume |
10 |
container_issue |
5 |
container_start_page |
792 |
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1774714720040779776 |