#lulc

Live, measured metrics for the hashtag #lulc from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.

hashtag.org network · sponsored

Own #lulc

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.

$2,449.80/ year · 4-character #name
Claim #lulc — $2,449.80/yr→Buy on hashtag.space (web3)
card via hashtag.org · tokens via hashtag.space
0
Uses / 7 days
Mastodon
0
Accounts / 7 days
Mastodon
19
Recent posts
Mastodon
~0/hr
Recent pace
Mastodon · last 19
2.1
Avg reactions / post
Mastodon · last 19

Day-by-day usage

measured · fosstodon.org (Mastodon public tags API) · fetched 2026-07-29 13:33 UTC
0
07-23
0
07-24
0
07-25
0
07-26
0
07-27
0
07-28
0
07-29

0 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 2026-07-29 13:33 UTC

No related tags with measured usage found for #lulc.

Live pulse

measured · fosstodon.org (Mastodon tag timeline) · fetched 2026-07-29 13:33 UTC

Everything below is measured over the latest 19 public posts (spanning ~30342 hours).

Posting hours (UTC) — busiest: 16:00

00:0012:0023:00

Languages: English (18) · Portuguese (1)

Avg boosts / post: 2.7

Top of the latest posts

  • 🛰️ A new paper "scikit-eo: A Python package for Remote Sensing Data Analysis" on a tool for #LULC analysis with various machine learning and neural networks algorithms.🛰️ Article: https://doi.org/10.21105/joss.06692 Software: https://yota

    Jakub Nowosad@nowosad♥ 16↻ 132024-08-11 14:00 UTCView post →

  • Hello! I'm a geospatial researcher currently focusing on future scenario #GIS modelling of #urbanforestry & #urbanplanning in the elementslab @ University of British Columbia (Vancouver, Canada). Research interests include #urbangreenness &

    Agatha Czekajlo@AgathaCzekajlo♥ 11↻ 72022-11-05 22:07 UTCView post →

  • My experiment with land-cover classification for Calgary using satellite imagery and with a machine-learning model trained on data from another continent. The results turned out surprisingly good — most classes transferred almost perfectly.

    Eugene@[email protected]♥ 5↻ 22025-11-14 00:25 UTCView post →

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/lulc