In recent years, the melting of the Antarctic ice sheet has accelerated, and a large amount of surface melt water has appeared on the surface of the Antarctic ice sheet. Understandings of the spatial distribution and dynamics of surface melt water on the Antarctic ice sheet is of great significance for the study of the mass balance of the Antarctic ice sheet. This dataset is 2000-2020 surface melt water dataset of Antarctica Ice Sheet typical melting area (Prydz bay) based on 10-30m Landsat-7, 8 and Sentinel-2 images. The projections are polar azimuthal projections in vector format (ESRI Shapefile) and raster format (GeoTIFF) and the time is Southern Hemisphere summer (December-to-February).

File naming and required software

Each piece of data is named "image date + data source", for example "20170127_L8". Since Landsat-7 ETM+ and Sentinel-2 MSI sensors need several days to fully observe the whole study area, the "image date" is marked as the start and end date of the image, such as "20170226-27_S2". The vector (.shp)/raster (.tif) data can be directly loaded into mainstream GIS software (such as ArcGIS and QGIS) for use.

Data Citations Data citation guideline What's data citation?

Cite as:

Yang, K. (2021). High-resolution (10-30m) surface melt water dataset of the marginal polar region, 2000-2020. A Big Earth Data Platform for Three Poles, DOI: 10.11888/Glacio.tpdc.271579. CSTR: 18406.11.Glacio.tpdc.271579. (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

To respect the intellectual property rights, protect the rights of data authors, expand services of the data center, and evaluate the application potential of data, data users should clearly indicate the source of the data and the author of the data in the research results generated by using the data (including published papers, articles, data products, and unpublished research reports, data products and other results). For re-posting (second or multiple releases) data, the author must also indicate the source of the original data.

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