# RadarCODE/awesome-sar

A curated list of awesome Synthetic Aperture Radar (SAR) software, libraries, and resources.

Repository: https://github.com/RadarCODE/awesome-sar
Canonical: https://ross.abutalabs.com/products/awesome-sar
License: NOASSERTION
License Family: other
Last push: 2025-07-22T01:06:00+00:00

## Health v2 (maintenance only)
Score: 47/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 32, release rhythm 35, longevity 100
- inputs: {"age_days": 3743, "days_push": 408, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases, no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1200, forks 321 (observed 2026-08-28T04:03:58.035840+00:00)

## What it is
A curated list of Synthetic Aperture Radar (SAR) software, libraries, and resources, covering InSAR, PolSAR, time series analysis, and geospatial tools. It serves as a discovery index linking to open-source and commercial SAR processing software and data archives.

## Use cases
- find software for InSAR processing
- discover polarimetric SAR tools
- locate SAR data archives
- learn about synthetic aperture radar resources
- compare SAR time series analysis tools
- find tropospheric noise correction software

## When to choose
- you need an overview of the SAR software ecosystem
- you are starting SAR/InSAR research and want tool recommendations
- you want links to SAR data archives and learning resources

## When to avoid
- you need actual SAR processing functionality (this is a list, not software)
- you need a maintained tool rather than a directory of links

## Facets
- artifact type: learning-resource
- maturity: active
- function: geospatial, image-processing, developer-tools
- domain: awesome-lists
- platform: cross-platform
- tags: awesome-list, synthetic-aperture-radar, insar, polsar, remote-sensing, curated-list, geospatial, earth-observation

## Member repositories
- RadarCODE/awesome-sar (main) score 47

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:03:58.035840+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T06:20:45.806166+00:00, confidence not recorded.
  - readme: https://github.com/RadarCODE/awesome-sar (fetched 2026-08-28T04:03:58.035840+00:00, sha 5758e1d0ecbf)
- Data as of 2026-08-30T08:39:29.467469+00:00.