Lineament analysis for the McMurdo Dry Valleys region, Antarctica

Light Detecting and Ranging (LiDAR) data were collected for regions spanning approximately 4000 km² in the McMurdo Dry Valleys region of Antarctica. The efficacy of using digital elevation models (DEMs) derived from these data for geomorphic mapping applications in the Dry Valleys are assessed. Usi...

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Main Authors: Hernandez, Stephen, Wilson, Terry, Konfal, Stephanie, Carroll, Kelly
Format: Text
Language:unknown
Published: University Corporation For Atmospheric Research (UCAR) 2008
Subjects:
Online Access:https://dx.doi.org/10.5065/16jq-f749
https://opensky.ucar.edu/islandora/object/manuscripts:644
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spelling ftdatacite:10.5065/16jq-f749 2023-05-15T13:36:48+02:00 Lineament analysis for the McMurdo Dry Valleys region, Antarctica Hernandez, Stephen Wilson, Terry Konfal, Stephanie Carroll, Kelly 2008 https://dx.doi.org/10.5065/16jq-f749 https://opensky.ucar.edu/islandora/object/manuscripts:644 unknown University Corporation For Atmospheric Research (UCAR) manuscript Text article-journal ScholarlyArticle 2008 ftdatacite https://doi.org/10.5065/16jq-f749 2021-11-05T12:55:41Z Light Detecting and Ranging (LiDAR) data were collected for regions spanning approximately 4000 km² in the McMurdo Dry Valleys region of Antarctica. The efficacy of using digital elevation models (DEMs) derived from these data for geomorphic mapping applications in the Dry Valleys are assessed. Using the ArcGIS Geographic Information Systems (GIS) software suite, we determine optimal image processing techniques to enhance visibility of geologically and geomorphically significant lineaments including faults, dikes, paleoshorelines, and other rifting and glacially induced features. Optimized filters, shadowing parameters, and the determination of positive and negative relief are applied to regions of interest. Results highlight features that can be used to constrain long-term glacial isostatic adjustment and neotectonic processes related to the West Antarctic Rift System (WARS). Text Antarc* Antarctic Antarctica McMurdo Dry Valleys DataCite Metadata Store (German National Library of Science and Technology) Antarctic McMurdo Dry Valleys
institution Open Polar
collection DataCite Metadata Store (German National Library of Science and Technology)
op_collection_id ftdatacite
language unknown
description Light Detecting and Ranging (LiDAR) data were collected for regions spanning approximately 4000 km² in the McMurdo Dry Valleys region of Antarctica. The efficacy of using digital elevation models (DEMs) derived from these data for geomorphic mapping applications in the Dry Valleys are assessed. Using the ArcGIS Geographic Information Systems (GIS) software suite, we determine optimal image processing techniques to enhance visibility of geologically and geomorphically significant lineaments including faults, dikes, paleoshorelines, and other rifting and glacially induced features. Optimized filters, shadowing parameters, and the determination of positive and negative relief are applied to regions of interest. Results highlight features that can be used to constrain long-term glacial isostatic adjustment and neotectonic processes related to the West Antarctic Rift System (WARS).
format Text
author Hernandez, Stephen
Wilson, Terry
Konfal, Stephanie
Carroll, Kelly
spellingShingle Hernandez, Stephen
Wilson, Terry
Konfal, Stephanie
Carroll, Kelly
Lineament analysis for the McMurdo Dry Valleys region, Antarctica
author_facet Hernandez, Stephen
Wilson, Terry
Konfal, Stephanie
Carroll, Kelly
author_sort Hernandez, Stephen
title Lineament analysis for the McMurdo Dry Valleys region, Antarctica
title_short Lineament analysis for the McMurdo Dry Valleys region, Antarctica
title_full Lineament analysis for the McMurdo Dry Valleys region, Antarctica
title_fullStr Lineament analysis for the McMurdo Dry Valleys region, Antarctica
title_full_unstemmed Lineament analysis for the McMurdo Dry Valleys region, Antarctica
title_sort lineament analysis for the mcmurdo dry valleys region, antarctica
publisher University Corporation For Atmospheric Research (UCAR)
publishDate 2008
url https://dx.doi.org/10.5065/16jq-f749
https://opensky.ucar.edu/islandora/object/manuscripts:644
geographic Antarctic
McMurdo Dry Valleys
geographic_facet Antarctic
McMurdo Dry Valleys
genre Antarc*
Antarctic
Antarctica
McMurdo Dry Valleys
genre_facet Antarc*
Antarctic
Antarctica
McMurdo Dry Valleys
op_doi https://doi.org/10.5065/16jq-f749
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