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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ftmdpi:oai:mdpi.com:/2072-4292/11/1/50/ 2023-08-20T03:59:13+02:00 Arctic Sea Ice Surface Roughness Estimated from Multi-Angular Reflectance Satellite Imagery Anne W. Nolin Eugene Mar agris 2018-12-29 application/pdf https://doi.org/10.3390/rs11010050 EN eng Multidisciplinary Digital Publishing Institute Atmospheric Remote Sensing https://dx.doi.org/10.3390/rs11010050 https://creativecommons.org/licenses/by/4.0/ Remote Sensing; Volume 11; Issue 1; Pages: 50 sea ice surface roughness remote sensing MISR Text 2018 ftmdpi https://doi.org/10.3390/rs11010050 2023-07-31T21:56:16Z 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. Text Airborne Topographic Mapper albedo Arctic Sea ice MDPI Open Access Publishing Arctic Remote Sensing 11 1 50 |
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Open Polar |
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MDPI Open Access Publishing |
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ftmdpi |
language |
English |
topic |
sea ice surface roughness remote sensing MISR |
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sea ice surface roughness remote sensing MISR 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 |
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 |
Text |
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 |
Multidisciplinary Digital Publishing Institute |
publishDate |
2018 |
url |
https://doi.org/10.3390/rs11010050 |
op_coverage |
agris |
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; Volume 11; Issue 1; Pages: 50 |
op_relation |
Atmospheric Remote Sensing https://dx.doi.org/10.3390/rs11010050 |
op_rights |
https://creativecommons.org/licenses/by/4.0/ |
op_doi |
https://doi.org/10.3390/rs11010050 |
container_title |
Remote Sensing |
container_volume |
11 |
container_issue |
1 |
container_start_page |
50 |
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1774723785792946176 |