Data Tools
Explore web services, interactive tutorials, and other tools to access and work with NSIDC data
There are many ways to access and work with NSIDC data to accommodate a wide diversity of users. Use the filter menu to explore and narrow down your options. Note that the list defaults to show our Featured tools first, however, you have more options in the Sort by menu.
- To see which tools are available for which data sets, you must go to a specific data set landing page. On the landing page under Data Access and Tools, you will see data-set specific tools to access and work with the data.
- Once you are ready to find a data set, explore our data catalog.
By capability
By output file type
By language
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, visualize, and download data from NSIDC's long-term IceBridge archive. The portal provides flight lines, map-based granule extents, browse images (where available), Northern and Southern Hemisphere polar views, spatial and temporal filters, and keyword search options.
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
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
reprojection
spatial subsetting
variable subsetting
Interpolation Options:
Bicubic Interpolation
Bilinear Interpolation
Nearest Neighbor
Output Projections:
Geographic
Universal Transverse Mercator
Polar Stereographic
Sinusoidal
Plate Carree
Browse and display global satellite imagery layers from NASA GIBS. Download raw data, share screenshots, and create animations from the imagery.
Type: Web Application
Customization Capabilities:
data reformatting
Search and download data from the GLIMS Glacier Database, using custom parameters in a text-search form.
Type: Web Application
Sign up for automatic delivery of new data from active NASA satellite missions. Customize data with reformatting, reprojection, and subsetting if desired.
Customization Capabilities:
data reformatting
reprojection
spatial subsetting
variable subsetting
Extract point and area samples from geospatial data via spatial, temporal, and/or parameter subsetting. Preview and interact with samples before downloading. The Application for Extracting and Exploring Analysis Ready Samples tool is only available for select NSIDC data products.
Type: Web Application
Customization Capabilities:
data reformatting
reprojection
spatial subsetting
temporal subsetting
variable subsetting
Spatially search for and download land ice velocity data from Landsat 8, using a map interface.
Search the Glacier Photograph Collection by glacier name, location, date, photographer, and more. View lower-resolution photographs online and order high-resolution versions.
Search the entire World Glacier Inventory by glacier name, number, or parameters (latitude/longitude, altitude, size, length, features). Specify output parameters and format (text or .csv file).
Customization Capabilities:
variable subsetting
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
Download data, and explore data coverage and customization using the Python-based Jupyter Notebook.
Supported software languages:
Python
Customization Capabilities:
reprojection
spatial subsetting
temporal subsetting
variable subsetting
Access georegistered images for data layers from select NSIDC data products. Use OGC protocols (WMS, WFS, and WCS) through HTTP URLs or OGC-compatible clients (ArcMap, QGIS, Google Earth) to access the data.
Customization Capabilities:
data reformatting
reprojection
spatial subsetting
temporal subsetting
variable subsetting
Geolocate and display EASE-Grid and EASE-Grid 2.0 data sets with IDL software.
Supported software languages:
IDL
Search the Global Lake and River Ice Phenology Database for freeze/thaw dates and the physical characteristics for several hundred lakes and rivers. You can search using country, latitude/longitude, name, freeze status, and temporal range. Select the desired output format: browser, CSV, or ASCII.
Customization Capabilities:
variable subsetting
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
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
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
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
Find ICESat/GLAS laser track start dates and times, as well as track identification information, choosing from multiple data/time formats.
Type: Web Application
Find information about ICESat/GLAS laser track start times and dates based on laser track. You can search based on a specific period or for all time periods.
Type: Web Application
Search and select Greenland Ice Mapping Project GIMP data at NSIDC, guided by a Python-based Jupyter Notebook. Build a QGIS project file from the search results. View data remotely if desired.
Supported software languages:
Python
Type: Downloadable Software
Last updated:
Spatially and temporally filter Greenland Ice Mapping Project (GIMP) image and velocity data, guided by a Python-based Jupyter Notebook. Spatially subset data and download in NetCDF format. This tool creates an interactive plot of time series data at selected points.
Supported software languages:
Python
Type: Downloadable Software
Last updated:
Customization Capabilities:
spatial subsetting
variable subsetting
data reformatting
Search the Online Dehn Ice Charts database by geographic region and/or date range. Order charts meeting your search criteria.
Access selected data products over the internet with NASA's data access protocol. Subset and reformat data through a web browser, command line interface, or custom interface, e.g., C NetCDF- or Java NetCDF-compliant programs.
Customization Capabilities:
data reformatting
spatial 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
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
Use this GUI to interpret, label, and visualize ICESat-2 ATL03 data.
Type: Downloadable Software
Customization Capabilities:
spatial subsetting
temporal subsetting
Access, subset, project, interpolate, analyze, and/or combine data products with this Python library. Useful for geospatial analyses run locally or in the cloud.
Supported software languages:
Python
Type: Downloadable Software
Customization Capabilities:
data reformatting
spatial subsetting
temporal subsetting
variable subsetting
reprojection
Search the SCICEX data inventory. Data that are archived at NSIDC and externally are listed. To access data archived at NSIDC use the FTP File System access option. For externally archived data, the links will direct you to external tools to retrieve the data.
Type: Web Application
Analyze monthly or daily sea ice concentration and extent. Plot monthly extent anomalies. Display concentration trend images based on date, climatology, and trend range.
Search for and download NSIDC DAAC data using the earthaccess python package. This python-based Jupyter notebook also demonstrates geospatial operations to crop and resample one GeoTIFF based on the extent and pixel size of another GeoTIFF, with the end goal of plotting one on top of the other. Two data sets from the NASA MEaSUREs program are used as examples.
Supported software languages:
Python
Customization Capabilities:
spatial subsetting
resampling
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
Find, download, and process select SMAP L3 and L4 data products using this R package. This tool includes functions to extract gridded products and reformat to a GeoTIFF.
Supported software languages:
R
Type: Downloadable Software
Customization Capabilities:
data reformatting
variable subsetting
A Python-based Jupyter Notebook demonstrating how to access and visualize coincident snow data from the NSIDC DAAC across in-situ, airborne, and satellite platforms from NASA's SnowEx, ASO, and MODIS data sets, respectively.
Supported software languages:
Python
Customization Capabilities:
data reformatting
reprojection
spatial subsetting
Query, access, analyze, and download SnowEx data sets using a SQL database.
Supported software languages:
Python
Type: Downloadable Software
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