ICESat-2 Tools and Services
The following table lists the tools and services available for ICESat-2 data.
| Name | Description | Access Type | Service Outputs | Source |
|---|---|---|---|---|
| OpenAltimetry | Discover, access, and visualize ICESat and ICESat-2 data. Key functions include on-the-fly plotting of segment elevations and photon clouds based on date and region of interest, ground track filtering and visualization, and data access in CSV or subsetted HDF5 format. | Web application |
| A NASA funded collaborative project between the Scripps Institution of Oceanography, San Diego Supercomputer Center, NSIDC DAAC, and UNAVCO. |
| NASA Earthdata Search | Search, visualize, and access data across thousands of Earth science data sets, including ICESat, IceBridge, and ICESat-2. Customization services (subsetting) are available for along-track ICESat-2 data sets. | Web application |
| NASA Earthdata, supported by NSIDC DAAC. |
| Harmony | NASA’s Harmony is a service that provides spatial and temporal subsetting for ICESat-2 data. Users can utilize the Harmony API through Earthdata Search or the Python library harmony-py. | API | Visit the page What subsetting and reformatting services are available for ICESat-2 data? for details on subsetting services available for ICESat-2 data. The Harmony API can be accessed by Earthdata Search, by harmony-py or directly as explained in this quickstart guide. | NASA Earthdata |
| ICESat-2 Hackweek Jupyter Notebook Tutorials | Github repositories of Jupyter Notebook tutorials presented during the ICESat-2 HackWeeks at the Univeristy of Washington. | Downloadable tool | Python-based guidance on access, reading, plotting, and exploration of ICESat-2 cryospheric data. | ICESat-2 Hackweek, hosted by the University of Washington with support from NASA's Cryospheric Sciences Program |
| Panoply | Plot arrays and geo-referenced data from NetCDF and HDF files. | Downloadable tool |
| NASA Goddard Institute for Space Studies |
| HDFView | Browse, visualize, and edit HDF (HDF5 and HDF4) files. Key functions include viewing HDF file hierarchy in a tree structure, opening data and metadata arrays, image creation, and HDF file modification. | Downloadable tool |
| The HDFGroup |
| PhoREAL | PhoREAL is a library of tools and source code to help scientists and researchers more easily use Icesat-2 ATL03 and ATL08 data products. | On Windows systems, the PhoREAL toolbox can be run as a Graphical User Interface (GUI) executable (.exe). On Linux systems, the PhoREAL toolbox can be run as a Python GUI or as a series of Python function commands via the Linux command line.
| Output the data into several different file formats for further analysis including .las, .csv, and .kml. Trim IceSat-2 ground track data by latitude or time, plot the resulting ATL03 data, and save any figures created. | University of Texas at Austin, Applied Research Laboratories GitHub |
| icepyx | A python software library for obtaining and working with ICESat-2 data. A shared library of resources - including existing resources, new code, tutorials, and use-cases/examples - that simplify the process of querying, obtaining, analyzing, and manipulating ICESat-2 datasets to enable scientific discovery. Developed and maintained by a community composed of ICESat-2 data users, developers, scientists, and students. | Downloadable tool, Python library, Jupyter Notebook | Access and subset data through the NASA Harmony API | Github and documentation |
| PhotonLabeler | A graphic user interface (GUI) for visual interpretation, manual labeling and visualization of ICESat-2 Geolocated Photon data (ATL03). | Downloadable tool | Read and display ATL03 HDF5 files, manually label individual photons into target classes, save labeled data to ASCII format, and save and load labeling sessions. | Github |
| IceFlow | A Python library simplifying the combined access of Pre-IceBridge, IceSat/GLAS, IceBridge and IceSat-2 point cloud data. The accompanying Jupyter notebook tutorial explains the usage of the library. | Downloadable tool | Search and download ATL03, ATL06, ATL07 and ATL08 HDF5 data using the IceFlow Jupyter Notebook using icepyx. | Github |