Content from all Earth science data sites are migrating into this site from now until end of 2026. Not all NASA Earth science data will appear across the site until then. Thank you for your patience as we make this transition.
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Data Recipes
Follow one of our data recipes to accomplish a specific task, such as converting data into a certain format for analysis or visualization.
3 MIN READ
This data recipe provides instructions on how to use a Python script to convert Infrared Global Geostationary Composite McIDAS data into PNG format and display the infrared composite as an image outside of McIDAS software.
3 MIN READ
This data recipe shows how to connect an AWS Linux EC2 instance from your computer using the SSH protocol.
8 MIN READ
This data recipe provides steps to construct a Harmony request URL to find S-1 InSAR data and perform subsetting using the GDAL Subsetter.
5 MIN READ
This data recipe shows users how to use GAMMA software and scripts for high-quality results to correct distortions in SAR images.
6 MIN READ
This data recipe provides the steps to create a graph and batch-process one or more RTC images using the Sentinel-1 Toolbox.
8 MIN READ
This data recipe demonstrates the use of the CloudFormation Template to automate the processing of Sentinel-1 radiometrically terrain-corrected products.
6 MIN READ
This data recipe reviews the preprocessing steps to accomplish a slice assembly and the subsequent subsetting of the border zone.
![This image shows Geocoded RGB Composite Image of Bucharest, Romania in Google Earth. Credit: ASF DAAC 2017; Contains modified Copernicus Sentinel data [2015] processed by ESA](https://earthdata.nasa.gov/s3fs-public/styles/hds_generic_card/public/2024-09/rgb-resulting-image.jpg?VersionId=g3VhlSo.o6e0osh0mRBH1pszhjJKgbgX&itok=7pmIc5-N)
17 MIN READ
In this data recipe, you will learn how to create a coherence-based multi-temporal color composite of land coverage using the European Space Agency (ESA) Sentinel-1 Toolbox.
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