Arctic Sea Ice Surface Roughness Estimated from Multi-Angular Reflectance Satellite Imagery
Sea ice surface roughness affects ice-atmosphere interactions, serves as an indicator of ice age, shows patterns of ice convergence and divergence, affects the spatial extent of summer meltponds, and affects ice albedo. We have developed a method for mapping sea ice surface roughness using angular r...
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ftdoajarticles:oai:doaj.org/article:c309bb1b591643c2a7736b05cfd42647 2023-05-15T13:07:32+02:00 Arctic Sea Ice Surface Roughness Estimated from Multi-Angular Reflectance Satellite Imagery Anne W. Nolin Eugene Mar 2018-12-01T00:00:00Z https://doi.org/10.3390/rs11010050 https://doaj.org/article/c309bb1b591643c2a7736b05cfd42647 EN eng MDPI AG http://www.mdpi.com/2072-4292/11/1/50 https://doaj.org/toc/2072-4292 2072-4292 doi:10.3390/rs11010050 https://doaj.org/article/c309bb1b591643c2a7736b05cfd42647 Remote Sensing, Vol 11, Iss 1, p 50 (2018) sea ice surface roughness remote sensing MISR Science Q article 2018 ftdoajarticles https://doi.org/10.3390/rs11010050 2022-12-31T11:23:31Z Sea ice surface roughness affects ice-atmosphere interactions, serves as an indicator of ice age, shows patterns of ice convergence and divergence, affects the spatial extent of summer meltponds, and affects ice albedo. We have developed a method for mapping sea ice surface roughness using angular reflectance data from the Multi-angle Imaging SpectroRadiometer (MISR) and lidar-derived roughness measurements from the Airborne Topographic Mapper (ATM). Using an empirical data modeling approach, we derived estimates of Arctic sea ice roughness ranging from centimeters to decimeters within the MISR 275-m pixel size. Using independent ATM data for validation, we find that histograms of lidar and multi-angular roughness values were nearly identical for areas with a roughness < 20 cm, but for rougher regions, the MISR-estimated roughness had a narrower range of values than the ATM data. The algorithm was able to accurately identify areas that transition between smooth and rough ice. Because of its coarser spatial scale, MISR-estimated roughness data have a variance about half that of ATM roughness data. Article in Journal/Newspaper Airborne Topographic Mapper albedo Arctic Sea ice Directory of Open Access Journals: DOAJ Articles Arctic Remote Sensing 11 1 50 |
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Open Polar |
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Directory of Open Access Journals: DOAJ Articles |
op_collection_id |
ftdoajarticles |
language |
English |
topic |
sea ice surface roughness remote sensing MISR Science Q |
spellingShingle |
sea ice surface roughness remote sensing MISR Science Q Anne W. Nolin Eugene Mar Arctic Sea Ice Surface Roughness Estimated from Multi-Angular Reflectance Satellite Imagery |
topic_facet |
sea ice surface roughness remote sensing MISR Science Q |
description |
Sea ice surface roughness affects ice-atmosphere interactions, serves as an indicator of ice age, shows patterns of ice convergence and divergence, affects the spatial extent of summer meltponds, and affects ice albedo. We have developed a method for mapping sea ice surface roughness using angular reflectance data from the Multi-angle Imaging SpectroRadiometer (MISR) and lidar-derived roughness measurements from the Airborne Topographic Mapper (ATM). Using an empirical data modeling approach, we derived estimates of Arctic sea ice roughness ranging from centimeters to decimeters within the MISR 275-m pixel size. Using independent ATM data for validation, we find that histograms of lidar and multi-angular roughness values were nearly identical for areas with a roughness < 20 cm, but for rougher regions, the MISR-estimated roughness had a narrower range of values than the ATM data. The algorithm was able to accurately identify areas that transition between smooth and rough ice. Because of its coarser spatial scale, MISR-estimated roughness data have a variance about half that of ATM roughness data. |
format |
Article in Journal/Newspaper |
author |
Anne W. Nolin Eugene Mar |
author_facet |
Anne W. Nolin Eugene Mar |
author_sort |
Anne W. Nolin |
title |
Arctic Sea Ice Surface Roughness Estimated from Multi-Angular Reflectance Satellite Imagery |
title_short |
Arctic Sea Ice Surface Roughness Estimated from Multi-Angular Reflectance Satellite Imagery |
title_full |
Arctic Sea Ice Surface Roughness Estimated from Multi-Angular Reflectance Satellite Imagery |
title_fullStr |
Arctic Sea Ice Surface Roughness Estimated from Multi-Angular Reflectance Satellite Imagery |
title_full_unstemmed |
Arctic Sea Ice Surface Roughness Estimated from Multi-Angular Reflectance Satellite Imagery |
title_sort |
arctic sea ice surface roughness estimated from multi-angular reflectance satellite imagery |
publisher |
MDPI AG |
publishDate |
2018 |
url |
https://doi.org/10.3390/rs11010050 https://doaj.org/article/c309bb1b591643c2a7736b05cfd42647 |
geographic |
Arctic |
geographic_facet |
Arctic |
genre |
Airborne Topographic Mapper albedo Arctic Sea ice |
genre_facet |
Airborne Topographic Mapper albedo Arctic Sea ice |
op_source |
Remote Sensing, Vol 11, Iss 1, p 50 (2018) |
op_relation |
http://www.mdpi.com/2072-4292/11/1/50 https://doaj.org/toc/2072-4292 2072-4292 doi:10.3390/rs11010050 https://doaj.org/article/c309bb1b591643c2a7736b05cfd42647 |
op_doi |
https://doi.org/10.3390/rs11010050 |
container_title |
Remote Sensing |
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11 |
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1 |
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50 |
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1766058617607290880 |