Arctic Melt Pond Fraction and Binary Classification, 2000-2020 ...
This dataset provides daily, 8-day, and monthly Arctic melt pond fractions and binary classification, from 2000-06-01 to 2020-08-31. Level-2 MODerate resolution Imaging Spectroradiometer (MODIS) top-of-the-atmosphere (TOA) reflectances for bands 1-4 were obtained, to which two machine learning algor...
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UK Polar Data Centre, Natural Environment Research Council, UK Research & Innovation
2021
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Online Access: | https://dx.doi.org/10.5285/b91ea195-fd3d-4171-bae4-198c46575c16 https://data.bas.ac.uk/full-record.php?id=GB/NERC/BAS/PDC/01444 |
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ftdatacite:10.5285/b91ea195-fd3d-4171-bae4-198c46575c16 2023-11-05T03:39:06+01:00 Arctic Melt Pond Fraction and Binary Classification, 2000-2020 ... Lee, Sanggyun Stroeve, Julienne 2021 application/x-hdf application/netcdf https://dx.doi.org/10.5285/b91ea195-fd3d-4171-bae4-198c46575c16 https://data.bas.ac.uk/full-record.php?id=GB/NERC/BAS/PDC/01444 en eng UK Polar Data Centre, Natural Environment Research Council, UK Research & Innovation https://dx.doi.org/10.1016/j.rse.2020.111919 Open Government Licence V3.0 http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/ "EARTH SCIENCE","CRYOSPHERE","SEA ICE","ICE GROWTH/MELT" "EARTH SCIENCE","OCEANS","SEA ICE","ICE GROWTH/MELT" "EARTH SCIENCE","SPECTRAL/ENGINEERING","INFRARED WAVELENGTHS","INFRARED IMAGERY" "EARTH SCIENCE","SPECTRAL/ENGINEERING","VISIBLE WAVELENGTHS","VISIBLE IMAGERY" "EARTH SCIENCE","CRYOSPHERE","SEA ICE" "EARTH SCIENCE","OCEANS","SEA ICE" Arctic MODIS melt pond remote sensing Dataset dataset Arctic,MODIS,melt pond,remote sensing 2021 ftdatacite https://doi.org/10.5285/b91ea195-fd3d-4171-bae4-198c46575c1610.1016/j.rse.2020.111919 2023-10-09T10:56:45Z This dataset provides daily, 8-day, and monthly Arctic melt pond fractions and binary classification, from 2000-06-01 to 2020-08-31. Level-2 MODerate resolution Imaging Spectroradiometer (MODIS) top-of-the-atmosphere (TOA) reflectances for bands 1-4 were obtained, to which two machine learning algorithms such as multi-layer neural networks and logistic regression were applied to map melt pond fraction and binary melt pond/ice classification. This work was funded by NERC standard grant NE/R017123/1. ... : Level-2 MODIS top-of-the-atmosphere (TOA) reflectances for bands 1-5 were used for the melt pond fraction and binary classification. Additionally, MODIS bands 5, 13, 16 and 19 were used to remove cloud shadows. The MOD35 data product was also used for cloud masking and MOD29 ice surface temperature product was used to flag refrozen melt ponds. Two machine learning algorithms were applied to the TOA band reflectances to map melt pond fraction and binary melt pond/ice/ocean classification. These included a Multi-Neural Network (MNN) and Multinomial Logistic Regression (MLR). Results were validated against high-resolution WorldView imagery, ship observations and other high resolution unclassified spy satellite data. ... Dataset Arctic Sea ice DataCite Metadata Store (German National Library of Science and Technology) |
institution |
Open Polar |
collection |
DataCite Metadata Store (German National Library of Science and Technology) |
op_collection_id |
ftdatacite |
language |
English |
topic |
"EARTH SCIENCE","CRYOSPHERE","SEA ICE","ICE GROWTH/MELT" "EARTH SCIENCE","OCEANS","SEA ICE","ICE GROWTH/MELT" "EARTH SCIENCE","SPECTRAL/ENGINEERING","INFRARED WAVELENGTHS","INFRARED IMAGERY" "EARTH SCIENCE","SPECTRAL/ENGINEERING","VISIBLE WAVELENGTHS","VISIBLE IMAGERY" "EARTH SCIENCE","CRYOSPHERE","SEA ICE" "EARTH SCIENCE","OCEANS","SEA ICE" Arctic MODIS melt pond remote sensing |
spellingShingle |
"EARTH SCIENCE","CRYOSPHERE","SEA ICE","ICE GROWTH/MELT" "EARTH SCIENCE","OCEANS","SEA ICE","ICE GROWTH/MELT" "EARTH SCIENCE","SPECTRAL/ENGINEERING","INFRARED WAVELENGTHS","INFRARED IMAGERY" "EARTH SCIENCE","SPECTRAL/ENGINEERING","VISIBLE WAVELENGTHS","VISIBLE IMAGERY" "EARTH SCIENCE","CRYOSPHERE","SEA ICE" "EARTH SCIENCE","OCEANS","SEA ICE" Arctic MODIS melt pond remote sensing Lee, Sanggyun Stroeve, Julienne Arctic Melt Pond Fraction and Binary Classification, 2000-2020 ... |
topic_facet |
"EARTH SCIENCE","CRYOSPHERE","SEA ICE","ICE GROWTH/MELT" "EARTH SCIENCE","OCEANS","SEA ICE","ICE GROWTH/MELT" "EARTH SCIENCE","SPECTRAL/ENGINEERING","INFRARED WAVELENGTHS","INFRARED IMAGERY" "EARTH SCIENCE","SPECTRAL/ENGINEERING","VISIBLE WAVELENGTHS","VISIBLE IMAGERY" "EARTH SCIENCE","CRYOSPHERE","SEA ICE" "EARTH SCIENCE","OCEANS","SEA ICE" Arctic MODIS melt pond remote sensing |
description |
This dataset provides daily, 8-day, and monthly Arctic melt pond fractions and binary classification, from 2000-06-01 to 2020-08-31. Level-2 MODerate resolution Imaging Spectroradiometer (MODIS) top-of-the-atmosphere (TOA) reflectances for bands 1-4 were obtained, to which two machine learning algorithms such as multi-layer neural networks and logistic regression were applied to map melt pond fraction and binary melt pond/ice classification. This work was funded by NERC standard grant NE/R017123/1. ... : Level-2 MODIS top-of-the-atmosphere (TOA) reflectances for bands 1-5 were used for the melt pond fraction and binary classification. Additionally, MODIS bands 5, 13, 16 and 19 were used to remove cloud shadows. The MOD35 data product was also used for cloud masking and MOD29 ice surface temperature product was used to flag refrozen melt ponds. Two machine learning algorithms were applied to the TOA band reflectances to map melt pond fraction and binary melt pond/ice/ocean classification. These included a Multi-Neural Network (MNN) and Multinomial Logistic Regression (MLR). Results were validated against high-resolution WorldView imagery, ship observations and other high resolution unclassified spy satellite data. ... |
format |
Dataset |
author |
Lee, Sanggyun Stroeve, Julienne |
author_facet |
Lee, Sanggyun Stroeve, Julienne |
author_sort |
Lee, Sanggyun |
title |
Arctic Melt Pond Fraction and Binary Classification, 2000-2020 ... |
title_short |
Arctic Melt Pond Fraction and Binary Classification, 2000-2020 ... |
title_full |
Arctic Melt Pond Fraction and Binary Classification, 2000-2020 ... |
title_fullStr |
Arctic Melt Pond Fraction and Binary Classification, 2000-2020 ... |
title_full_unstemmed |
Arctic Melt Pond Fraction and Binary Classification, 2000-2020 ... |
title_sort |
arctic melt pond fraction and binary classification, 2000-2020 ... |
publisher |
UK Polar Data Centre, Natural Environment Research Council, UK Research & Innovation |
publishDate |
2021 |
url |
https://dx.doi.org/10.5285/b91ea195-fd3d-4171-bae4-198c46575c16 https://data.bas.ac.uk/full-record.php?id=GB/NERC/BAS/PDC/01444 |
genre |
Arctic Sea ice |
genre_facet |
Arctic Sea ice |
op_relation |
https://dx.doi.org/10.1016/j.rse.2020.111919 |
op_rights |
Open Government Licence V3.0 http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/ |
op_doi |
https://doi.org/10.5285/b91ea195-fd3d-4171-bae4-198c46575c1610.1016/j.rse.2020.111919 |
_version_ |
1781694888317812736 |