Postprocessing products for remote sensing of surface velocity of McMurdo Dry Valleys 60m Sentinel-1/2/Landsat Glacier in Antarctica from 2015 to 2020

Postprocessing products for remote sensing of surface velocity of McMurdo Dry Valleys 60m Sentinel-1/2/Landsat Glacier in Antarctica from 2015 to 2020


The Antarctic McMurdo Dry Valleys ice velocity product is based on the Antarctic Ice Sheet Velocity and Mapping Project (AIV) data product, which is post-processed with advanced algorithms and numerical tools. The product is mapped using Sentinel-1/2/Landsat data and provides uniform, high-resolution (60m) ice velocity results for McMurdo Dry Valleys, covering the period from 2015 to 2020.


File naming and required software

Ice velocity data is stored in. tif format and can be opened with Arcgis software. The file name is "yyyy yyyy. tif", where yyyy represents the year, such as 2015-2016.tif The tif document describes the annual average ice velocity results of McMurdo Dry Valleys in Antarctica from 2015 to 2016.


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Cite as:

Jiang, L. (2022). Postprocessing products for remote sensing of surface velocity of McMurdo Dry Valleys 60m Sentinel-1/2/Landsat Glacier in Antarctica from 2015 to 2020. A Big Earth Data Platform for Three Poles, DOI: 10.11888/Cryos.tpdc.272920. CSTR: 18406.11.Cryos.tpdc.272920. (Download the reference: RIS | Bibtex )

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Support Program

CASEarth:Big Earth Data for Three Poles(grant No. XDA19070000) (No:XDA19000000)

the Strategic Priority Research Program of the Chinese Academy of Sciences (No:XDA19070104) [XDA19070104]

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License: This work is licensed under an Attribution 4.0 International (CC BY 4.0)


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Keywords
Geographic coverage
East: 165.00 West: 159.00
South: -78.00 North: -77.00
Details
  • Temporal resolution: Yearly
  • Spatial resolution: 10m - 100m
  • File size: 62 MB
  • Views: 392
  • Downloads: 0
  • Access: Requestable
  • Temporal coverage: 2015-01-01 To 2020-12-31
  • Updated time: 2022-11-17
Contacts
: JIANG Liming  

Distributor: A Big Earth Data Platform for Three Poles

Email: poles@itpcas.ac.cn

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