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opensarlab_OPERA-CSLC_Recipe_Book

The OPERA project at the Jet Propulsion Laboratory produces analysis-ready datasets from space-borne synthetic aperture radar (SAR) and optical sensors.

This Jupyter Book provides data recipes demonstrating data access, analyses, and data transformations using the OPERA CSLC-S1 product.

"The Coregistered Single-look Complex (CSLC) product consists of SLC images that are precisely aligned or “coregistered” to a pre-defined UTM/Polar stereographic map projection systems. The CSLC images contain both amplitude and phase information of the complex radar return. The amplitude is primarily determined by ground surface properties (e.g., terrain slope, surface roughness, and physical properties), and phase primarily represents the distance between the radar and ground targets corrected for the geometrical distance between the two based on the knowledge from Digital Elevation Model and platform’s position, i.e., the CSLC phase represents residual geometrical distance between the sensor and target, the atmospheric propagation delay and the target movements. The Level-2 CSLC product is derived from the Sentinel-1 radar observations and is provided in the Hierarchical Data Format version 5 (HDF5) file format. The CSLC product will be posted at 5x10 m spacing in east and north direction, respectively. The CSLC product also serves as the basis for the OPERA Displacement (DISP) product. The product will be accessible through the Alaska Satellite Facility Distributed Active Archive Center (ASF DAAC)."

https://www.jpl.nasa.gov/go/opera/products/cslc-product-suite

Important Note About Your Jupyter Environment if not in OpenSARLab

Tip: Run the notebooks in this Jupyter Book from Jupyter Lab, launched from a conda environment containing the required Jupyter packages.
This can be accomplished with the following commands:

      mamba create -n jbook -c conda-forge jupyterlab notebook ipywidgets ipympl nb_conda_kernels
      mamba activate jbook
      python -m pip install jupyterlab-jupyterbook-navigation
      jupyter lab
    

• Jupyter selection widgets used in the notebooks require the packages ipywidgets and notebook.
• In order to use multiple conda environments in Jupyter Lab at the same time, you must install nb_conda_kernels.
• Interactive matplotlib plots requires the package ipympl in the environment running Jupyter Lab

How To Use This Jupyter Book

1. Install the software environment needed to run the notebooks

   • Install required software with Conda
   • Rerun this step periodically. Updates to environment config files will not take effect unless you update or recreate your environment.

2. Explore data access notebooks

   • Direct S3 access
   • Download data

3. Create interferograms

   • Calculate and multilook interferograms from OPERA S1-CSLCs

Contact Us

Did you find a bug? Do you have a feature request?
Explore GitHub Issues on this Jupyter Book's GitHub repository. Find solutions, add to the discussion, or start a new bug report or feature request: opensarlab_OPERA-CSLC_Recipe_Book Issues

Have a question related to SAR, OPERA CSLCs, or ASF data access?
Contact ASF User Support: [email protected]