GB_NERC_BAS_PDC_01652
English
dataset
British Antarctic Survey
+44 (0)1223 221400
pdc@bas.ac.uk
pointOfContact
2022-07-14
NERC profile of ISO19115:2003
1.0
http://www.antarctica.ac.uk/dms/metadata.php?id=GB/NERC/BAS/PDC/01652
urn:ogc:def:crs:EPSG::4326
OGP
Contemporary (2016 - 2020) land cover classification across West Antarctica and the McMurdo Dry Valleys
Polar Data Centre (PDC) record GB/NERC/BAS/PDC/01652
2022-07-14
publication
GB/NERC/BAS/PDC/01652
http://www.antarctica.ac.uk/dms/metadata.php?id=
We present here the land cover classification across West Antarctica and the McMurdo Dry Valley produced from Landsat-8 Operational Land Imager (OLI) images of six proglacial regions of Antarctica at 30 m resolution, with an overall accuracy of 77.0 % for proglacial land classes. We conducted this classification using an unsupervised K-means clustering approach, which circumvented the need for training data and was highly effective at picking up key land classes, such as vegetation, water, and different sedimentary surfaces.
This work is supported by the Leeds-York-Hull Natural Environment Research Council (NERC) Doctoral Training Partnership (DTP) Panorama under grant NE/S007458/1. The Ministry of Education, Youth and Sports of the Czech Republic project VAN 1/2022 and the Czech Antarctic Foundation funded fieldwork that contributed to part of this work.
British Antarctic Survey
+44 (0)1223 221400
High Cross, Madingley Road
Cambridge
CB3 0ET
UK
pdc@bas.ac.uk
custodian
Stringer, C.
NERC EDS UK Polar Data Centre
+44 (0)1223 221400
High Cross, Madingley
Cambridge
CB3 0ET
UK
pdc@bas.ac.uk
originator
unknown
NDGO0001
NERC_DDC
NERC OAI Harvesting
2022-07-14
revision
EARTH SCIENCE > Biosphere > Vegetation
EARTH SCIENCE > Land Surface > Erosion/Sedimentation
EARTH SCIENCE > Land Surface > Land Use/Land Cover
EARTH SCIENCE > Land Surface > Land Use/Land Cover > Land Cover
GCMD Parameter Valids
2022-07-14
revision
Antarctica
Google Earth Engine
Land cover
Landsat
Sediment
Vegetation
BAS Free-text keywords
2022-07-14
revision
This data is covered by a UK Open Government Licence (http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/)
otherRestrictions
This data is covered by a UK Open Government Licence (http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/)
English
environment
geoscientificInformation
imageryBaseMapsEarthCover
-41.85
-31.27
-57.58
-51.41
2016-02-02
2020-02-09
Polar Data Centre - British Antarctic Survey
+44 (0)1223 221400
pdc@bas.ac.uk
distributor
https://doi.org/10.5281/zenodo.6720051
information
dataset
Conformity_001
INSPIRE
INSPIRE Data Specification on unknown theme Guidelines
See the referenced specification
false
Accuracy assessed using the methods of:
Olofsson, P., Foody, G. M., Stehman, S. V, and Woodcock, C. E.: Making better use of accuracy data in land change studies: Estimating accuracy and area and quantifying uncertainty using stratified estimation, Remote Sens. Environ., 129, 122-131, https://doi.org/10.1016/j.rse.2012.10.031, 2013.
Olofsson, P., Foody, G. M., Herold, M., Stehman, S. V, Woodcock, C. E., and Wulder, M. A.: Good practices for estimating area and assessing accuracy of land change, Remote Sens. Environ., 148, 42-57, https://doi.org/10.1016/j.rse.2014.02.015, 2014.
We found our classification to have an overall accuracy of 95.9 % overall. When just the proglacial land classes are considered, we have an accuracy of 77.0 %.