HyP3 Tutorials¶
Jupyter Notebooks¶
We provide step-by-step tutorials for using HyP3 programmatically via Jupyter Notebooks.
- Using the HyP3 Python SDK -- This notebook walks through ordering and accessing RTC, InSAR, and autoRIFT products in Python using the HyP3 SDK.
- Using the HyP3 SDK to search for jobs run by another user -- This notebook walks through using the HyP3 SDK to search for jobs run by another user.
- Using the HyP3 SDK to process new granules for given search parameters -- These notebooks demonstrate how to process new granules that match particular search parameters, which is particularly useful for ongoing monitoring of a geographic area of interest.
- Time series analysis with HyP3 and MintPy -- This notebook walks through performing a time-series analysis of the 2019 Ridgecrest, CA earthquake with HyP3 On Demand InSAR products and MintPy.
- Time series analysis with HyP3 ISCE2 burst InSAR products and MintPy -- This notebook walks through performing a time-series analysis of the 2019 Ridgecrest, CA earthquake with HyP3 On Demand Burst InSAR products and MintPy.
- Merging of burst InSAR products with HyP3 ISCE2 -- This notebook walks through merging a pair of burst InSAR products with HyP3 ISCE2, using the deformation signal related to a 2020 Iranian earthquake as an example.
StoryMaps¶
ASF provides a variety of interactive StoryMap tutorials focused on accessing and using Synthetic Aperture Radar (SAR) data available from ASF. They can all be accessed here:
The StoryMap collection includes step-by-step tutorials for ordering and accessing RTC and InSAR products in Vertex.
