ICESat-2
The Ice, Cloud, and land Elevation Satellite-2
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In this section
Tools
Data Tools
This page lists featured tools and web services that can be used to access and work with various data from this collection. Additional tools and resources for working with these data may be found in the Help Articles section of this collection.
Get Data
Quickly download a few files using a web browser, or access data through a command-line utility such as WGET.
Search & Discover
Get Data
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.
Visualize
Get Data
Search & Discover
Customize
Discover, access, and visualize data from NASA's ICESat and ICESat-2 missions.
Supported software languages:
Python
Type: Web Application
Customization Capabilities:
spatial subsetting
temporal subsetting
Output Formats:
ASCII
CSV
HDF5
Visualize
Search & Discover
Get Data
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
Get Data
Search & Discover
earthaccess is a python library to search and access NASA Earth science data with just a few lines of code.
Supported software languages:
Python
Get Data
Customize
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
Output Formats:
HDF5
ASCII
HDF5
NETCDF-3
NETCDF-4
Get Data
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.
Get Data
Access data directly from the NASA Earthdata Cloud via Amazon Web Services Simple Storage Service (AWS S3). This access option is only available when working within the us-west-2 region and requires additional AWS S3 credentials.
Type:
service
Analyze
Visualize
Search & Discover
Customize
Learn how to discover, access, subset, and visualize Arctic sea ice data from Python-based Jupyter Notebooks. Tutorial comes with open-source libraries to harmonize sea ice height from ICESat-2, and ice surface temperature from MODIS.
Supported software languages:
Python
Customization Capabilities:
spatial subsetting
temporal subsetting
variable subsetting
reprojection
Output Formats:
HDF-EOS2
HDF5
Visualize
Get Data
Use example Python, MATLAB, IDL, or NCL code to import, read, and/or visualize select NSIDC DAAC data products.
Supported software languages:
MATLAB
Python
IDL
Type: Downloadable Software
Visualize
Explore contents of HDF4 and HDF5 files, including file structure, metadata, and parameter values.
Type: Downloadable Software
Output Formats:
ASCII
HDF4
HDF5
Visualize
Get Data
Search & Discover
Customize
Compare decades of harmonized data across pre-IceBridge, IceBridge, ICESat/GLAS, and ICESat-2 data products. Access and visualize data using a download widget, map-based customization, API code examples, and other tools.
Customization Capabilities:
data reformatting
reprojection
spatial subsetting
temporal subsetting
Visualize
Get Data
Search & Discover
Customize
Access ICESat-2 data with as few as three lines of code. This Python software library wraps around APIs supported by the NSIDC DAAC.
Supported software languages:
Python
Type: Downloadable Software
Customization Capabilities:
spatial subsetting
temporal subsetting
variable subsetting
Output Formats:
HDF5
Visualize
Get Data
Search & Discover
Demonstrates using the earthaccess python package to search for and directly access cloud-hosted ICESat-2 data from an Amazon Compute Cloud (EC2) instance. This python-based Jupyter notebook uses Land Ice Height (ATL06) granules as an example.
Supported software languages:
Python
Analyze
Visualize
Get Data
Search & Discover
Customize
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
Calculate past and future satellite overpasses, based on latitude/longitude or map location.
Type: Web Application
Visualize
Analyze
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
Output Formats:
ASCII
CSV
GIF
HDF-EOS2
HDF-EOS5
HDF4
HDF5
JPEG
KML
NETCDF-3
NETCDF-4
PNG
TIFF
Analyze
Visualize
Customize
Use this toolbox to read, process, analyze, and output ICESat-2 ATL03 and ATL08 data in these formats: figures, .las, .csv, .kml.
Supported software languages:
Python
Type: Downloadable Software
Customization Capabilities:
data reformatting
spatial subsetting
temporal subsetting
variable subsetting
Output Formats:
ASCII
CSV
HDF5
KML
PNG
Analyze
Visualize
Customize
Use this GUI to interpret, label, and visualize ICESat-2 ATL03 data.
Type: Downloadable Software
Customization Capabilities:
spatial subsetting
temporal subsetting
Output Formats:
ASCII
CSV
JPEG
PNG
Analyze
Visualize
Customize
Get Data
Process Earth science data on demand via a web service and gain low-latency access to customized data products using parameters supplied at the time of request.
Type: Downloadable Software
Customization Capabilities:
data reformatting
Output Formats:
HDF5
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