Developing Remote Sensing Capabilities for Meter-Scale Sea Ice Properties

The overarching goal of this work is to develop and validate remote sensing techniques to track sea ice physical properties of geophysical importance that occur below the pixel size of most global-coverage satellite assets. We will collect a dataset of high resolution satellite imagery and develop a...

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Bibliographic Details
Main Authors: Polashenski, Chris, Frey, Karen E
Other Authors: COLD REGIONS RESEARCH AND ENGINEERING LAB FORT WAINWRIGHT AK
Format: Text
Language:English
Published: 2013
Subjects:
Ice
Online Access:http://www.dtic.mil/docs/citations/ADA605023
http://oai.dtic.mil/oai/oai?&verb=getRecord&metadataPrefix=html&identifier=ADA605023
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spelling ftdtic:ADA605023 2023-05-15T15:04:27+02:00 Developing Remote Sensing Capabilities for Meter-Scale Sea Ice Properties Polashenski, Chris Frey, Karen E COLD REGIONS RESEARCH AND ENGINEERING LAB FORT WAINWRIGHT AK 2013-09-30 text/html http://www.dtic.mil/docs/citations/ADA605023 http://oai.dtic.mil/oai/oai?&verb=getRecord&metadataPrefix=html&identifier=ADA605023 en eng http://www.dtic.mil/docs/citations/ADA605023 Approved for public release; distribution is unlimited. DTIC Snow Ice and Permafrost Photography Target Direction Range and Position Finding *REMOTE DETECTORS *SATELLITE IMAGERY *SEA ICE INTERPOLATION MELTING MELTS MIXING PONDS RESOLUTION SURFACE ROUGHNESS Text 2013 ftdtic 2016-02-24T15:37:46Z The overarching goal of this work is to develop and validate remote sensing techniques to track sea ice physical properties of geophysical importance that occur below the pixel size of most global-coverage satellite assets. We will collect a dataset of high resolution satellite imagery and develop and field-validate methods for detecting melt pond area fraction, floe size distribution, and ice surface roughness from this imagery at a number of sites in the Arctic. The primary objective, in years 1 and 2, is to demonstrate the capability for operationally monitoring these variables. In the 3rd and 4th years of the project, these measurements will be scaled up to basin scale estimates, using both interpolation between observation sites and improved spectral mixing techniques to classify the fractional mixture of surface types within low resolution remote sensing imagery pixels, such as MODIS. Text Arctic Ice permafrost Sea ice Defense Technical Information Center: DTIC Technical Reports database Arctic
institution Open Polar
collection Defense Technical Information Center: DTIC Technical Reports database
op_collection_id ftdtic
language English
topic Snow
Ice and Permafrost
Photography
Target Direction
Range and Position Finding
*REMOTE DETECTORS
*SATELLITE IMAGERY
*SEA ICE
INTERPOLATION
MELTING
MELTS
MIXING
PONDS
RESOLUTION
SURFACE ROUGHNESS
spellingShingle Snow
Ice and Permafrost
Photography
Target Direction
Range and Position Finding
*REMOTE DETECTORS
*SATELLITE IMAGERY
*SEA ICE
INTERPOLATION
MELTING
MELTS
MIXING
PONDS
RESOLUTION
SURFACE ROUGHNESS
Polashenski, Chris
Frey, Karen E
Developing Remote Sensing Capabilities for Meter-Scale Sea Ice Properties
topic_facet Snow
Ice and Permafrost
Photography
Target Direction
Range and Position Finding
*REMOTE DETECTORS
*SATELLITE IMAGERY
*SEA ICE
INTERPOLATION
MELTING
MELTS
MIXING
PONDS
RESOLUTION
SURFACE ROUGHNESS
description The overarching goal of this work is to develop and validate remote sensing techniques to track sea ice physical properties of geophysical importance that occur below the pixel size of most global-coverage satellite assets. We will collect a dataset of high resolution satellite imagery and develop and field-validate methods for detecting melt pond area fraction, floe size distribution, and ice surface roughness from this imagery at a number of sites in the Arctic. The primary objective, in years 1 and 2, is to demonstrate the capability for operationally monitoring these variables. In the 3rd and 4th years of the project, these measurements will be scaled up to basin scale estimates, using both interpolation between observation sites and improved spectral mixing techniques to classify the fractional mixture of surface types within low resolution remote sensing imagery pixels, such as MODIS.
author2 COLD REGIONS RESEARCH AND ENGINEERING LAB FORT WAINWRIGHT AK
format Text
author Polashenski, Chris
Frey, Karen E
author_facet Polashenski, Chris
Frey, Karen E
author_sort Polashenski, Chris
title Developing Remote Sensing Capabilities for Meter-Scale Sea Ice Properties
title_short Developing Remote Sensing Capabilities for Meter-Scale Sea Ice Properties
title_full Developing Remote Sensing Capabilities for Meter-Scale Sea Ice Properties
title_fullStr Developing Remote Sensing Capabilities for Meter-Scale Sea Ice Properties
title_full_unstemmed Developing Remote Sensing Capabilities for Meter-Scale Sea Ice Properties
title_sort developing remote sensing capabilities for meter-scale sea ice properties
publishDate 2013
url http://www.dtic.mil/docs/citations/ADA605023
http://oai.dtic.mil/oai/oai?&verb=getRecord&metadataPrefix=html&identifier=ADA605023
geographic Arctic
geographic_facet Arctic
genre Arctic
Ice
permafrost
Sea ice
genre_facet Arctic
Ice
permafrost
Sea ice
op_source DTIC
op_relation http://www.dtic.mil/docs/citations/ADA605023
op_rights Approved for public release; distribution is unlimited.
_version_ 1766336219155791872