Lake ice is an important parameter of the cryosphere, its change is closely related to the climate parameters such as temperature and precipitation, and can directly reflect the climate change, so it is an important indicator of the regional climate parameter change. However, because the research area is often located in the area with poor natural environment and few population, large-scale field observation is difficult to carry out, so sentinel 1 satellite data is used. The spatial resolution of 10 m and the temporal resolution of better than 30 days are used to monitor the changes of different types of lake ice, which fills the observation gap. Hmrf algorithm is used to classify different types of lake ice. Through time series analysis of the distribution of different types of lake ice in three polar regions with a part area of more than 25km2, a lake ice type data set is formed. The distribution of different types of lake ice in these lakes can be obtained. The data includes the serial number of the processed lake, the year in which it is located and the serial number in the time series, vector and other information. The data set includes the algorithm used, sentinel-1 satellite data used, imaging time, polar area, lake ice type and other information. Users can determine the changes of different types of lake ice in the time series according to the vector file.

File naming and required software

File naming: Winter lake data is stored in raster file format, and its imaging time is stored in txt text format. The name of the raster file is lake_ice_yyyyyyyy_Lakes number_ sequence number.tif, where yyyyyyyy represents the year in which the lake data is located, for example 20152016 refers to the data of the corresponding lakes in the second half of 2015 to the first half of 2016, the Lakes number represents the number of each lake in the corresponding polar region. The number starts with 0, and the sequence number represents the order of the images in the corresponding winter time series, which is also started with 0
Example file name: lake_ice_20152016_0_0.tif, 时间.txt.
Data reading method: The imaging time file can be opened directly with a text program (such as Notepad), and the raster file can be opened with ENVI or Arcgis, in which corresponding information of the winter lake (such as location information, etc.) can be displayed.
File naming: Lake ice data is stored in vector file format. The name of the file is Algorithm. Satellite sensor.yyyymmdd.Region of Interest.Type of Ice.shp, where Algorithm represents the classification method of lake ice, and the classification method used in data collection products is Hidden Markov random field classification method, abbreviated as HMRF, Satellite sensor represents the satellite sensor used in the classification of lake ice, the products in the data collection use Sentinel-1 data for lake ice classification, abbreviated as SENT1, yyyymmdd represents SENT1 data acquisition time, where yyyy represents the year, mm represents the month, and dd represents the date.The Region of Interest represents the polar region where the lake is located, including the Siberian polar region. The Alaska Polar Region and the Tibetan Plateau, the Type of Ice represents different types of lake ice, where f represents floating ice and g represents grounded ice.
Example of file name: HMRF.SENT1.20170118.Siberia.f.shp
Data reading mode, all vector files in the data set can be opened with Aecgis or ENVI, which can display information about lake ice data.

Data Citations Data citation guideline What's data citation?

Cite as:

Qiu, Y., Tian, B. (2019). Dataset of lake ice type in alpine region V1.0 (2015-2018). A Big Earth Data Platform for Three Poles, DOI: 10.11888/Glacio.tpdc.270262. CSTR: 18406.11.Glacio.tpdc.270262. (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)

Copyright & License

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