As a condition of using these data, you must cite the use of this data set.
10.5067/UO20NYM3YQB4
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When using this data product in a publication, please include the following citations in addition to the data product citation provided above:
Shugar, D., Burr, A., Haritashya, U. K., Kargel, J., Watson, C. S., Kennedy, M. C., Bevington, A. R., Betts, R. A., Harrison, S. & Strattman, K.. 2020. Rapid worldwide growth of glacial lakes since 1990. Nature Climate Change. DOI: 10.1038/s41558-020-0855-4.
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STANDARD Level of Service
Data: Data integrity and usability verified
Documentation: Key metadata and user guide available
User Support: Assistance with data access and usage; guidance on use of data in tools
In this section
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Blue outlined yellow areas on the map below indicate the spatial coverage for this data set.
Data Access & Tools
A free NASA Earthdata Login account is required to access these data. Learn More
Quickly download a few files using a web browser, or access data through a command-line utility such as WGET.
Filter files before downloading based on date, spatial area, or file name. Choose from various download options, such as Python script. Export bounding boxes as a GeoJSON.
Search and order data from all NASA DAACs using spatial and temporal filters in a map interface. Reformatting, reprojecting, and subsetting options are available for some data sets.
Type: Web Application
earthaccess is a python library to search and access NASA Earth science data with just a few lines of code.
Supported software languages:
Python
Programmatically request selected data products through NSIDC's API. Bulk download using spatial and temporal filters, or incorporate data access commands into code/scripts as needed.