Global topographic information from the NASADEM program.
Data are stored in blobs in the East US data center, in the following blob container:
Within that container, data are organized according to:
lat_tile is a character (‘n’ or ‘s’) plus a two-digit latitude value, derived from the latitude represented by each tile. To find the latitude code for a given latitude, perform a floor() operation, then take the absolute value, then prefix with ‘n’ for positive latitudes (including zero) and ‘s’ for negative latitudes, and zero-pad to two digits. For example, the latitude 35.3606 becomes ‘n35’.
long_tile is a character (‘e’ or ‘w’) plus a three-digit longitude value, derived from the longitude represented by each tile. To find the longitude code for a given longitude, perform a floor() operation, then take the absolute value, then prefix with ‘e’ for positive latitudes (including zero) and ‘w’ for negative latitudes, and zero-pad to three digits. For example, the longitude 138.72 becomes ‘e138’.
For each tile, filenames with three extensions are present:
- 1.jpg (a preview image)
- nc (the data itself)
- nc.xml (tile creation metadata)
Images are stored in NetCDF format.
A complete Python example of accessing and plotting NASADEM data is available in the notebook provided under “data access”.
We also provide a read-only SAS (shared access signature) token to allow access to NASADEM data via, e.g., BlobFuse, which allows you to mount blob containers as drives:
Mounting instructions for Linux are here.
Large-scale processing is best performed in the East US Azure data center, where the images are stored. If you are using NASADEM data for environmental science applications, consider applying for an AI for Earth grant to support your compute requirements.
A full list of files is available here.
License and attribution information
NASADEM data may be used without restriction for any purpose whatsoever, commercial or otherwise, free of any royalties or other restrictions. No special permission or compensation is required, even for reselling the exact data, images or other derived products.
If possible, when using this data, please attribute to “Courtesy NASA/JPL-Caltech”.
Topography in the Mount Fuji area.
For questions about this dataset, contact
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This dataset is provided under the original terms that Microsoft received source data. The dataset may include data sourced from Microsoft.
|Available in||When to use|
Quickly explore the dataset with Jupyter notebooks hosted on Azure or your local machine.