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If you need to reproject the IMS 1 km or 4 km GeoTIFFs to geographic latitude/longitude, we recommend using the Geospatial Data Abstraction Library (GDAL). Instructions for downloading and installing it can be found here: https://gdal.org/download.html Below are instructions for using GDAL directly in the command line or in a python script.

The "Snow Depth and Snow Cover Data Exploration” Jupyter Notebook provides Python code to access and compare coincident snow data across in-situ, airborne, and satellite platforms from NASA's SnowEx, ASO, and MODIS data sets, respectively. Please see the NSIDC-Data-Tutorials GitHub repository (https://github.com/nsidc/NSIDC-Data-Tutorials) for more information on how to access and run the Jupyter Notebook.

There are external Jupyter notebooks available that can be used to download user-defined spatial subsets of the following MEaSUREs GrIMP products:

This article walks through installing Earthdata Download, downloading data, and addressing issues that users may encounter when using the application. The Earthdata Download application is a download option for users of Earthdata Search or those of NSIDC DAAC's Data Access Tool.

Learn the basic steps for using OpenAltimetry to browse and download ICESat-2 data products.

Learn the basic steps for using OpenAltimetry to browse and download ICESat data.

This tutorial outlines the steps for visualizing data in EASE-Grid/EASE-Grid2 projection and NetCDF format, using the free software, Panoply. The Panoply data viewer can be downloaded from the NASA Goddard Institute for Space Studies web page here. This tutorial uses a NetCDF file from the Lagrangian Snow Distrbutions for Sea Ice Applications data set as an example.

The Sea Ice Index and the Arctic Sea Ice News Analysis (ASINA) Web pages provide images derived from passive microwave satellite data that depict the most recent daily sea ice conditions. Last Updated February 2018

The following table lists the tools and services available for ICESat-2 data.

Yes, it is an element of GLAH06, GLAH12, GLAH13, GLAH14, and GLAH15. 

This guide shows you how to:Launch a free Amazon EC2 virtual server in the cloud (Free Tier eligible)Securely connect to it from your computerPrepare the instance for working with NSIDC DAAC Earthdata Cloud dataTransfer files between your computer and the instanceNo prior cloud experience needed — this walkthrough is designed for first-time users!

The lag time between observations and availability of MODIS products is only a few days. Lag time may be extended due to satellite maneuvers and extra quality assurance required for the geolocation data after the maneuver. The MODAPS Terra and Aqua websites contain information on data outages due to satellite maneuvers and instrument failures affecting processing.

The lag time between observations and availability of VIIRS products is only a few days. Lag time may be extended due to satellite maneuvers and extra quality assurance required for the geolocation data after the maneuver. The MODAPS VIIRS/NPP website contains information on data outages due to satellite maneuvers and instrument failures affecting processing.

The NASA Earthdata Cloud is the NASA cloud-based archive of Earth observations. It is hosted by Amazon Web Services (AWS). Learn how to find and access NSIDC DAAC data directly in the cloud.

Data from the NASA National Snow and Ice Data Center Distributed Active Archive Center (NSIDC DAAC) can be accessed directly from our HTTPS file system. We provide basic command line Wget and curl instructions for HTTPS file system downloads below.For questions about programmatic access to NSIDC DAAC data, please contact NSIDC User Services: nsidc@nsidc.org

List of available files The following program files are available for download via HTTPS, along with the TOVS Pathfinder Path-P Daily and Monthly Polar Gridded Atmospheric Parameters data files, in the /tools/ directory.

This articles provides an example MATLAB snippet to read and plot SMAP/Sentinel-1 L2 Radiometer/Radar 30-Second Scene 3 km EASE-Grid Soil Moisture HDF5 soil moisture and brightness temperature data, as well as the related surface and quality flags. These flags are useful for determining the overall quality and surface conditions present when the data were collected by the satellite. %Comment Assign filename to the local variable  >>L2_SM_SP_fname = 'SMAP_L2_SM_SP_1BIWDV_20170908T132624_20170909T003903_102W47N_D17000_001.h5'; 

This article highlights the NSIDC DAAC data sets available with customization options and outlines a workflow for searching, ordering, and customizing data in NASA Earthdata Search. This approach is ideal for users who want to download data to their local machine.

Because MODIS sensors have flown on both the Terra and Aqua satellites, NSIDC offers parallel  products derived from MODIS on each satellite. Terra and Aqua products are very similar with a few key differences:

HDFView https://support.hdfgroup.org/products/java/hdfview/ When you first open HDFView, the HDFView window appears with an empty tree and data panel.