Arctic Melt Pond Fraction and Binary Classification, 2000-2020 - VERSION 1.0
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.
Simple
- Alternate title
- Polar Data Centre (PDC) record GB/NERC/BAS/PDC/01444
- Date (Publication)
- 2023-12-07
- Identifier
- http://www.antarctica.ac.uk/dms/metadata.php?id= / GB/NERC/BAS/PDC/01444
Custodian
British Antarctic Survey
High Cross, Madingley Road
,
Cambridge
,
CB3 0ET
,
UK
+44 (0)1223 221400
Originator
UK Polar Data Centre, Natural Environment Research Council, UK Research & Innovation
-
Lee, S., & Stroeve, J.
High Cross, Madingley
,
Cambridge
,
CB3 0ET
,
UK
+44 (0)1223 221400
- Maintenance and update frequency
- unknown Unknown
- Keywords
-
- NDGO0001
- NERC OAI Harvesting
-
- NERC_DDC
- GCMD Parameter Valids
-
- EARTH SCIENCE > Cryosphere > Sea Ice
- EARTH SCIENCE > Cryosphere > Sea Ice > Ice Growth/Melt
- EARTH SCIENCE > Oceans > Sea Ice
- EARTH SCIENCE > Oceans > Sea Ice > Ice Growth/Melt
- EARTH SCIENCE > Spectral/Engineering > Infrared Wavelengths > Infrared Imagery
- EARTH SCIENCE > Spectral/Engineering > Visible Wavelengths > Visible Imagery
- BAS Free-text keywords
-
- Arctic
- MODIS
- melt pond
- remote sensing
- Use limitation
- This data is supplied under Open Government Licence v3.0 http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/.
- Access constraints
- otherRestrictions Other restrictions
- Other constraints
- This data is supplied under Open Government Licence v3.0 http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/.
- Metadata language
- EnglishEnglish
- Topic category
-
- Imagery base maps earth cover
- Oceans
N
S
E
W
- Begin date
- 2000-06-01
- End date
- 2020-08-31
- Reference system identifier
- OGP / urn:ogc:def:crs:EPSG::4326
- Distribution format
-
- Hierarchy level
- dataset Dataset
Domain consistency
- Measure identification
- INSPIRE / Conformity_001
Conformance result
- Date
- Explanation
- See the referenced specification
- Pass
- No
- Statement
- The accuracy assessment for melt pond binary classification and fraction is further evaluated against WV imagery, showing mean overall accuracy (85.5%), average mean difference (0.09), and mean RMSE (0.18). In addition to cross-validation with WV, retrieved melt pond data are validated against melt pond fractions from satellite and ship-based observations, showing mean correlation coefficients, root-mean-square-error (RMSE) and mean differences of 0.41, 0.12, and 0.05, respectively.
- File identifier
- GB_NERC_BAS_PDC_01444 XML
- Metadata language
- EnglishEnglish
- Hierarchy level
- dataset Dataset
- Date stamp
- 2023-12-07
- Metadata standard name
- NERC profile of ISO19115:2003
- Metadata standard version
- 1.0
Overviews
Spatial extent
N
S
E
W
Provided by
Associated resources
Not available