SAR ice sheet freezing-thawing data for Antarctica and Greenland V1.0 (2015-2019)

At present, based on the proposed SAR ice sheet freeze-thaw detection algorithm using change detection and decision tree algorithm, the monthly average ice sheet freeze-thaw is detected using sentinel-1 EW SAR data. At the same time, using the developed production module of freeze-thaw products based on big data platform, the international first production of Antarctic ice sheet and Greenland ice sheet freeze-thaw products. Through the development of automatic weather station temperature data, the ice sheet freeze-thaw detection accuracy reaches 90%. At present, the acquisition time of data products is mainly the summer of the north and south poles, among which the Antarctic ice sheet products are January, February, March, October, November, December and Greenland products are may, June, July, August, September and October.

File naming and required software

File name: the data is stored in tif raster format, and the name of the file is SPyyyy_mm.tif to get the time name,such as: 2015_04. tif, yyyy represents year and 04 represents month.The document describes ice sheet freezing-thawing in April 2015.
Data reading method: the data can be opened by Arcgis, Qgis and other software, or read by the program. The main value of the grid represents the freezing and thawing value of the ice sheet surface.

Data Citations Data citation guideline What's data citation?

Cite as:

Lu, Z. (2019). SAR ice sheet freezing-thawing data for Antarctica and Greenland V1.0 (2015-2019). A Big Earth Data Platform for Three Poles, (Download the reference： RIS | Bibtex )

Using this data, the data citation is required to be referenced and the related literatures are suggested to be cited.

Support Program

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

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