How can I improve the map quality in my InSAR results? And is MintPy the only tool for time-series velocity analysis on JupyterHub?

JupyterHub
1

Hi everyone, I’m working on Sentinel-1 InSAR time-series analysis on JupyterHub and generating deformation/velocity maps with MintPy. The final maps look noticeably blurry / low-resolution, and I’m trying to understand how to produce higher-quality results.

1) How can I improve the visual and spatial quality of MintPy outputs?

Which steps or parameters most strongly affect the final map quality?
Examples: multilooking, filtering, geocoding settings, DEM resolution, plotting DPI, or Google Earth (KMZ) export options.

Any recommended settings or up-to-date best practices for generating sharper velocity or displacement maps would be very helpful.

2) Is MintPy the only available tool for InSAR time-series / velocity analysis on JupyterHub?

I want to confirm whether:

  • MintPy is the only supported time-series tool, or

  • If there are other modern and actively maintained tools (e.g., ISCE-2 time-series modules, ARIA-tools, PyRate, StaMPS, etc.) that can also be used on JupyterHub.

If there are additional workflows, tools, or recommended environments for higher-quality time-series processing, I would really appreciate your guidance.

Thank you!

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on JupyterHub

Welp: this is the site for all the JupytersHub (and folks that build and use the underlying code), not just a JupyterHub at a specific institution.

Provided a user has an active IPython Notebook, Terminal, Console, or Whatever, and depending on the local configuration, one can likely use a magic command along the lines of:

%pip install pyrate
# or
%conda install -c conda-forge pyrate

… or any other PyPI/conda-forge package, and there’s a decent chance it will work (perhaps after restarting the kernel, and potentially reloading the browser if bespoke web bits get installed).

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