Open Source Sea-ice Processing Algorithm v2.1.0
Snow, ice, and melt ponds cover the surface of the Arctic Ocean in fractions that change throughout the seasons. These surfaces control albedo and exert tremendous influence over the energy balance in the Arctic. Meter scale resolution WorldView optical satellite imagery is able to capture the evolu...
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Arctic Data Center
2019
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dataone:urn:uuid:0e7fd166-83ed-432d-998d-5e5fda50a7ad 2024-10-03T18:45:34+00:00 Open Source Sea-ice Processing Algorithm v2.1.0 Nicholas Wright Chris Polashenski Arctic Ocean ENVELOPE(-180.0,180.0,90.0,66.56083) BEGINDATE: 2017-08-01T00:00:00Z ENDDATE: 2017-08-01T00:00:00Z 2019-01-01T00:00:00Z https://search.dataone.org/view/urn:uuid:0e7fd166-83ed-432d-998d-5e5fda50a7ad unknown Arctic Data Center EARTH SCIENCE > CRYOSPHERE EARTH SCIENCE > CRYOSPHERE > SEA ICE EARTH SCIENCE > CRYOSPHERE > SEA ICE > ICE FLOES EARTH SCIENCE > CRYOSPHERE > SEA ICE > ICE GROWTH/MELT EARTH SCIENCE > CRYOSPHERE > SEA ICE > ICE TYPES EARTH SCIENCE > CRYOSPHERE > SEA ICE > REFLECTANCE EARTH SCIENCE > CRYOSPHERE > SEA ICE > SEA ICE CONCENTRATION EARTH SCIENCE > CRYOSPHERE > SNOW/ICE > ALBEDO EARTH SCIENCE SERVICES > DATA ANALYSIS AND VISUALIZATION > VISUALIZATION/IMAGE PROCESSING Dataset 2019 dataone:urn:node:ARCTIC 2024-10-03T18:12:02Z Snow, ice, and melt ponds cover the surface of the Arctic Ocean in fractions that change throughout the seasons. These surfaces control albedo and exert tremendous influence over the energy balance in the Arctic. Meter scale resolution WorldView optical satellite imagery is able to capture the evolution of the ice and ocean surface state directly. This dataset contains the python code used to process high resolution optical imagery of sea ice designed to provide a standardized, automated, and reproducible technique. This method classifies surface coverage into three main categories: (1) Snow and bare ice, (2) melt ponds and submerged ice, and (3) open water. Tests show the classification accuracy of this method typically exceeds 96%. This code is based on the work presented in: https://www.the-cryosphere.net/12/1307/2018/tc-12-1307-2018.html Dataset albedo Arctic Arctic Ocean Sea ice Arctic Data Center (via DataONE) Arctic Arctic Ocean ENVELOPE(-180.0,180.0,90.0,66.56083) |
institution |
Open Polar |
collection |
Arctic Data Center (via DataONE) |
op_collection_id |
dataone:urn:node:ARCTIC |
language |
unknown |
topic |
EARTH SCIENCE > CRYOSPHERE EARTH SCIENCE > CRYOSPHERE > SEA ICE EARTH SCIENCE > CRYOSPHERE > SEA ICE > ICE FLOES EARTH SCIENCE > CRYOSPHERE > SEA ICE > ICE GROWTH/MELT EARTH SCIENCE > CRYOSPHERE > SEA ICE > ICE TYPES EARTH SCIENCE > CRYOSPHERE > SEA ICE > REFLECTANCE EARTH SCIENCE > CRYOSPHERE > SEA ICE > SEA ICE CONCENTRATION EARTH SCIENCE > CRYOSPHERE > SNOW/ICE > ALBEDO EARTH SCIENCE SERVICES > DATA ANALYSIS AND VISUALIZATION > VISUALIZATION/IMAGE PROCESSING |
spellingShingle |
EARTH SCIENCE > CRYOSPHERE EARTH SCIENCE > CRYOSPHERE > SEA ICE EARTH SCIENCE > CRYOSPHERE > SEA ICE > ICE FLOES EARTH SCIENCE > CRYOSPHERE > SEA ICE > ICE GROWTH/MELT EARTH SCIENCE > CRYOSPHERE > SEA ICE > ICE TYPES EARTH SCIENCE > CRYOSPHERE > SEA ICE > REFLECTANCE EARTH SCIENCE > CRYOSPHERE > SEA ICE > SEA ICE CONCENTRATION EARTH SCIENCE > CRYOSPHERE > SNOW/ICE > ALBEDO EARTH SCIENCE SERVICES > DATA ANALYSIS AND VISUALIZATION > VISUALIZATION/IMAGE PROCESSING Nicholas Wright Chris Polashenski Open Source Sea-ice Processing Algorithm v2.1.0 |
topic_facet |
EARTH SCIENCE > CRYOSPHERE EARTH SCIENCE > CRYOSPHERE > SEA ICE EARTH SCIENCE > CRYOSPHERE > SEA ICE > ICE FLOES EARTH SCIENCE > CRYOSPHERE > SEA ICE > ICE GROWTH/MELT EARTH SCIENCE > CRYOSPHERE > SEA ICE > ICE TYPES EARTH SCIENCE > CRYOSPHERE > SEA ICE > REFLECTANCE EARTH SCIENCE > CRYOSPHERE > SEA ICE > SEA ICE CONCENTRATION EARTH SCIENCE > CRYOSPHERE > SNOW/ICE > ALBEDO EARTH SCIENCE SERVICES > DATA ANALYSIS AND VISUALIZATION > VISUALIZATION/IMAGE PROCESSING |
description |
Snow, ice, and melt ponds cover the surface of the Arctic Ocean in fractions that change throughout the seasons. These surfaces control albedo and exert tremendous influence over the energy balance in the Arctic. Meter scale resolution WorldView optical satellite imagery is able to capture the evolution of the ice and ocean surface state directly. This dataset contains the python code used to process high resolution optical imagery of sea ice designed to provide a standardized, automated, and reproducible technique. This method classifies surface coverage into three main categories: (1) Snow and bare ice, (2) melt ponds and submerged ice, and (3) open water. Tests show the classification accuracy of this method typically exceeds 96%. This code is based on the work presented in: https://www.the-cryosphere.net/12/1307/2018/tc-12-1307-2018.html |
format |
Dataset |
author |
Nicholas Wright Chris Polashenski |
author_facet |
Nicholas Wright Chris Polashenski |
author_sort |
Nicholas Wright |
title |
Open Source Sea-ice Processing Algorithm v2.1.0 |
title_short |
Open Source Sea-ice Processing Algorithm v2.1.0 |
title_full |
Open Source Sea-ice Processing Algorithm v2.1.0 |
title_fullStr |
Open Source Sea-ice Processing Algorithm v2.1.0 |
title_full_unstemmed |
Open Source Sea-ice Processing Algorithm v2.1.0 |
title_sort |
open source sea-ice processing algorithm v2.1.0 |
publisher |
Arctic Data Center |
publishDate |
2019 |
url |
https://search.dataone.org/view/urn:uuid:0e7fd166-83ed-432d-998d-5e5fda50a7ad |
op_coverage |
Arctic Ocean ENVELOPE(-180.0,180.0,90.0,66.56083) BEGINDATE: 2017-08-01T00:00:00Z ENDDATE: 2017-08-01T00:00:00Z |
long_lat |
ENVELOPE(-180.0,180.0,90.0,66.56083) |
geographic |
Arctic Arctic Ocean |
geographic_facet |
Arctic Arctic Ocean |
genre |
albedo Arctic Arctic Ocean Sea ice |
genre_facet |
albedo Arctic Arctic Ocean Sea ice |
_version_ |
1811920010241638400 |