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. - Authenticating a HyP3 Session with the SDK
-- This notebook provides guidance on the options available for authenticating HyP3 with your Earthdata Login credentials when 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 update a job name
-- This notebook walks through using the HyP3 SDK to rename one of your previously submitted jobs. - 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 2014 Mount Edgecumbe, AK volcano with HyP3 On Demand Burst InSAR products and MintPy. - Search and Order a Multi-Burst SBAS Stack of Interferograms
-- This notebook illustrates how to use the HyP3 Python SDK to search for sets of Sentinel-1 bursts to use for generating On Demand Multi-Burst InSAR products and build an SBAS stack of multi-burst pairings to submit for processing.
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.
