Update README.md

Author: AlexeyPechnikov

README.md

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-## Announcement: InSAR.dev—A Federated Python Ecosystem for InSAR
+## Announcement: InSAR.dev—A Federated Python Ecosystem for SAR/InSAR
 
-InSAR.dev is the next evolution of PyGMTSAR and is under active development. Whereas PyGMTSAR processes single-polarization scenes and bursts along one orbital path, InSAR.dev separates the workflow into two phases: preparing SLC data (including geocoding, flat-earth and topographic correction, and packaging into cloud-ready bursts) and then performing the core interferometric analysis on those datasets. This design scales to hundreds or thousands of bursts across multiple polarizations and orbital paths.
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-For example, the following interactive notebooks demonstrate processing of 8 Sentinel-1 scenes (~1000 bursts) across 2 orbital paths and 2 polarizations (VH, VV):
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-[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/drive/1KsHRDz1XVtDWAkJMXK0gdpMiEfHNvXB3?usp=sharing) InSAR.dev Sentinel-1 SLC Burst Preprocessing.
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-[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/drive/156Gvd-0C7DrXWDe1JCSxJyE-s1FyZeDl?usp=sharing) InSAR.dev Sentinel‑1 Multi‑Polarization and Multi‑Path Interferograms (adopted for slow 2 vCPU free Google Colab).
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-[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/drive/1g_mZK6YZ614t45D1zKCO-U_X5E6hfknz?usp=sharing) InSAR.dev Sentinel‑1 Multi‑Polarization and Multi‑Path Interferograms on Google Colab Pro.
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-The InSAR.dev ecosystem comprises three Python packages. **insardev_toolkit** provides utility functions and helpers; **insardev_pygmtsar**handles Sentinel‑1 SLC preprocessing (requires GMTSAR binaries); and **insardev** performs core interferometric processing and analysis with no external dependencies. Both **insardev_toolkit** and **insardev_pygmtsar** are BSD‑licensed, while **insardev** may require a subscription for certain use cases.
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-InSAR.dev documentation, use cases and project updates are available on [Patreon](https://www.patreon.com/pechnikov).
+[InSAR.dev](https://InSAR.dev), the successor to PyGMTSAR, is a pure Python NISAR/Sentinel-1 framework that uses the modern Zarr version 3 data storage format, avoiding the NetCDF-related issues affecting PyGMTSAR.
 
+Whereas PyGMTSAR processes single-polarization scenes and bursts along one orbital path, InSAR.dev separates the workflow into two phases: preparing SLC data, including geocoding, flat-earth and topographic correction, and packaging into cloud-ready bursts; and then performing the core interferometric analysis on those datasets. This design scales to thousands of bursts across multiple polarizations and orbital paths.
 
 ## PyGMTSAR (Python InSAR): Powerful, Accessible Satellite Interferometry