#Hyperspectral
Live, measured metrics for the hashtag #Hyperspectral from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.
Own #hyperspectral
This #name is available to claim. It becomes your portal on the open agent web: this very page, a keyword you rank for by an open public stake, and a verifiable identity for AI agents. Nobody else sells a page like this for every #name.
Day-by-day usage
measured · fosstodon.org (Mastodon public tags API) · fetched 2026-10-11 14:22 UTC0 uses by 0 unique accounts across the window. Real per-day counts, not estimates. Newest bar is today so far.
Related hashtags
measured · fosstodon.org (Mastodon public search API) · fetched 2026-10-11 14:22 UTCLive pulse
measured · fosstodon.org (Mastodon tag timeline) · fetched 2026-10-11 14:22 UTCEverything below is measured over the latest 40 public posts (spanning ~22842 hours).
Posting hours (UTC) — busiest: 10:00
Languages: English (38) · French (1) · German (1)
Avg boosts / post: 0.6
Top of the latest posts
Five bands gives you a flat line. 222 bands draws the actual curve. Same grass, same cement, same water, measured twice. Put the multispectral and hyperspectral plots side by side and you can see exactly what resolution costs you. Plotted f
One for the Python-minded spectral geologists, particularly those down under (..if any exist on the fediverse). I've been putting a bit of work into tsg-xr to make HyLogger hyperspectral scanning data a bit more accessible via Python - and
Not sure where this is - anyone? - but it's a spectacular #hyperspectral image from #Wyrvern. They're an #Edmonton satellite company! Sample images for download here https://opendata.wyvern.space
What “hyperspectral” means
WikipediaHyperspectral imaging collects and processes information from across the electromagnetic spectrum. The goal of hyperspectral imaging is to obtain the spectrum for each pixel in the image of a scene, with the purpose of finding objects, identifying materials, or detecting processes. There are three general types of spectral imagers. There are push broom scanners and the related whisk broom scanners, which read images over time, band sequential scanners, which acquire images of an area at differen
“Hyperspectral imaging” on Wikipedia (CC BY-SA) →#hyperspectral across platforms
every network with a public tag surfaceFollow #hyperspectral straight to each platform’s own tag page. Where a platform publishes open data we measure it above; the rest lock their numbers behind paid APIs, so we link rather than guess.
Every number above is measured from a named public API at the shown fetch time. Nothing is estimated or extrapolated. Platforms that lock their data behind paid APIs are not shown. Agents: the same numbers, as JSON, at /api/hashtags/hyperspectral