As a condition of using these data, you must cite the use of this data set.
10.5067/ATLAS/ATL08QL.006
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COMPREHENSIVE Level of Service
Data: Data integrity and usability verified; data customization services available for select data
Documentation: Key metadata and comprehensive user guide available
User Support: Assistance with data access and usage; guidance on use of data in tools and data customization services
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 our API. This tool is valuable for selecting just the parameters you need from big data sets. Apply spatial and temporal filters, subsetting, reformatting, and reprojection.
Customization Capabilities:
data reformatting
spatial subsetting
temporal subsetting
variable subsetting
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.
Explore contents of HDF4 and HDF5 files, including file structure, metadata, and parameter values.
Type: Downloadable Software
Utilize the Jupyterbook for the latest Hackweek virtual event and learn about the ICESat-2 satellite, data products, data-access tools, and more. Access past hackwork tutorials from the ICESat-2 Hackweek Github Organization listed in the Quick Links.
Supported software languages:
Python
Type: Downloadable Software
Customization Capabilities:
spatial subsetting
temporal subsetting
variable subsetting
Visualize georeferenced arrays in NetCDF, HDF and GRIB formats. Plot data on global or regional maps, choosing from multiple map projections. Overlay continent outlines or masks.
Type: Downloadable Software