I built anicha.earth because I kept needing a fast, no-frills way to see how a place changes over time — not once a year, but every week or so.

Recently I worked on super-resolution for Sentinel-2 (about 8–10× upscaling) for an agriculture project. Along the way I realized two things: (1) this could be useful beyond ag, and (2) I couldn’t find a tool that lets you pick any area and quickly scrub through years of imagery. So I made one that’s as simple and as fast as I can make it.

Under the hood it uses Copernicus Sentinel-2 L2A (10 m/pixel). With S2A+B the nominal revisit is ~5 days (depends on clouds; with Sentinel-2C the cadence is tighten further). For any area you select, the app gathers all available scenes since 2018 and shows them on the map and in a time strip for easy scrubbing.

There’s AI-Enhanced view: a super-resolution model that makes it toward ~1–2 m. The model was trained on millions of satellite/aerial images, primarily open NAIP data.

This is an early beta and a bit rough.

I’m most curious about now is where this is actually useful?

https://anicha.earth