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ZENODO
Dataset . 2017
License: CC BY SA
Data sources: Datacite
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ZENODO
Dataset . 2017
License: CC BY SA
Data sources: Datacite
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Antarcticalc2000: The New Antarctic Land Cover Database For The Year 2000

Authors: Hui, FengMing; Kang, Jing; Liu, Yan; Cheng, Xiao; Gong, Peng; Wang, Fang; Li, Zhan; +2 Authors

Antarcticalc2000: The New Antarctic Land Cover Database For The Year 2000

Abstract

Antarctic Land Cover Database for the Year 2000 (AntarcticaLC2000) was produced using Landsat Enhanced Thematic Mapper Plus (ETM+) data acquired around 2000 and Moderate Resolution Imaging Spectrometer (MODIS) images acquired in the austral summer of 2003/2004 according to the criteria for the 1:100,000-scale. Three land cover types were included in this map, separately, ice-free rocks, blue ice, and snow/firn. This classification legend was determined based on a review of the land cover systems in Antarctica (LCCSA) and an analysis of different land surface types and the potential of satellite data. Image classification was conducted through a combined usage of computer-aided and manual interpretation methods. Results show that the areas and percentages of ice-free rocks, blue ice, and snow/firn are 73,268.81 km2 (0.537%), 225,937.26 km2 (1.656%), and 13,345,460.41 km2 (97.807%), respectively. The comparisons with other different data proved a higher accuracy of our product and a more advantageous data quality.

Please help maintaining this service by properly citing and acknowledging if you use the data for publications: Hui, F., J. Kang, Y. Liu, X. Cheng, P. Gong, F. Wang, Z. Li, Y. Ye, and Z. Guo. 2017. "AntarcticaLC2000: The new Antarctic land cover database for the year 2000." SCIENCE CHINA Earth Sciences 60: 686-696. doi: 10.1007/s11430-016-0029-2.

{"references": ["Hui, F., J. Kang, Y. Liu, X. Cheng, P. Gong, F. Wang, Z. Li, Y. Ye, and Z. Guo. 2017. \"AntarcticaLC2000: The new Antarctic land cover database for the year 2000.\" SCIENCE CHINA Earth Sciences 60: 686-696. doi: 10.1007/s11430-016-0029-2."]}

Related Organizations
Keywords

Land cover, Antarctica, Remote sensing

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This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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