#Vegetation, tree canopy map. Australia 🇦🇺 User's #feedback.
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Channel
@geoalert
On this record: Growth · Engagement · Reactions · Posts · Citations · Cite this entry
414subscribers
+2 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
| Telegram ID | -1001205436376 |
|---|---|
| Type | Channel |
| Username | @geoalert |
| Created | 20 October 2018 — measured — cross-checked against a third-party dataset (ext.tg_channel) |
| First recorded | 6 August 2026 |
| Last confirmed live | 4 September 2026 |
| Measurements held | 5 |
| Confirmed unchanged | 2 times, most recently 4 September 2026 |
| On Telegram | t.me/geoalert |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 27 Aug 2026, 09:28 | 414 | -1 |
| 21 Aug 2026, 08:35 | 415 | +2 |
| 13 Aug 2026, 16:27 | 413 | +1 |
| 6 Aug 2026, 22:40 | 412 | no change |
| 6 Aug 2026, 20:33 | 412 | first reading |
17 posts held, back to 26 May 2026 — the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 1 page of Telegram’s post history, 20 posts per page.
Nothing published in the last 30 days. ERR and ER are rolling 30-day measures, so there is nothing to compute — we hold 17 posts for this entry, the most recent from 5 August 2026. An engagement rate over an empty window would be a number about nothing.
76 reactions across 17 posts, in 5 distinct kinds. The most used accounts for 60.5% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 👍 | 46 | 60.5% | |
| 🔥 | 20 | 26.3% | |
| ❤ | 4 | 5.26% | |
| 🤩 | 4 | 5.26% | |
| 🎉 | 2 | 2.63% |
No sentiment is inferred, and none should be read in. This table is ordered by count and by nothing else. Emoji do not carry stable meaning across languages or communities — 🙏 is thanks in one channel and mourning in another — so we publish which ones were pressed and how often, and pass no judgement on what an audience meant by them.
Precision. Telegram publishes reaction counts per emoji and short-forms each one — 4.34K, 1.2M — so any single kind at or above 1,000 reaches us at three significant figures, and only counts below 1,000 are exact. The shares above are ratios of those figures and carry the same error. This is also why the total here can differ slightly from a reaction total printed elsewhere on the page: both are sums of the same rounded parts, taken over samples with different edges.
Coverage. Reactions were read on 17 of the 17 sampled posts in this sample. Summed by Telegram’s own count on each post — not by adding up the per-emoji breakdown above — those same posts carry 76 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 17 most recent posts we hold, published 26 May 2026 to 5 August 2026, using the newest reading held for each. Telegram Stars are excluded: they are a payment, not a reaction, and they have their own section.
#Vegetation, tree canopy map. Australia 🇦🇺 User's #feedback.
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🎉 New in #Mapflow: upload your own imagery straight through the Mapflow AI Agent No forms, no menus — just drop an image into the chat. The AI Agent now accepts image uploads right in the conversation. Drop a GeoTIFF into the chat window and the agent will: ✅ store it in your My Imagery collection ✅ select it as the input for your processing ✅ take you straight to running a model on it Bring your own aerial or sa…
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A new #Mapflow Models Hub is live on our website. Explore production-ready #AI mapping models you can run today through the Mapflow web app, #QGIS plugin, or API. Can’t find the model you need? It probably means nobody has asked us for it yet—so let us know!
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Tashkent is developing rapidly, with many modern business towers transforming the city’s skyline over the past two years. Uzbekistan has an ambitious urban development roadmap focused on expanding residential capacity, improving transportation systems, and allocating almost a quarter of the city’s area to green zones. A nationwide environmental campaign supporting these goals was launched in 2021. This makes it esp…
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Before we wish you a great and productive weekend, here's a quick reminder about the recent My Imagery update in #Mapflow. You can upload, organize, manage, and reuse your own imagery for AI processing. If you've already tried it, we'd love to hear your thoughts - check out this quick survey. 👈 Whether you've run into any issues or have ideas for improvement, even a short piece of feedback is incredibly valuable a…
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🌲 Forest & Trees model — new version is live! The new v2026-07-03 is a major step forward for global vegetation mapping. We benchmarked it across areas on 4 continents where the previous version struggled — and the improvement is clear: 📈 F1: 0.513 → 0.850 📈 IoU: 0.396 → 0.744 📈 Recall: 0.407 → 0.868, with precision staying around 0.84 ✅ Higher F1 score in all 8 AOIs The previous model was very conservative and m…
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Team balance management is now easier and less confusing. Team owners can assign credits to any team member - just edit. Please note that when a team is created, the full team balance is initially allocated to the Owner’s balance, so you’ll need to reallocate credits to other members. Read the full docs about Mapflow Team accounts
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#Landuse, multi-model map. Indonesia 🇮🇩 User's #feedback.
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At Geoalert we've been developing a product for Telco companies to optimise and design RF network, #RFN maps. Check the new article on our blog. "...continuous map maintenance can uncover thousands of missing buildings and major vegetation changes, making this approach a practical alternative to 1-3 yeras periodic map vendor's supplies"
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🛰️ My Imagery major update in #Mapflow Web Until now, managing your own uploaded imagery in Mapflow meant using the #QGIS plugin or the API. You can now do it all right in the browser: 🖼️ Organize images into mosaics (collections) ⬆️ Drag & drop GeoTIFFs to upload 🖼️ Preview your imagery and check its status ⚙️ Start an AI-mapping run from any image in a couple of clicks If you already uploaded images before — no…
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We posted about 🏠 Buildings model update and global benchmarks. Read on our blog 👀
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🏠 Buildings model update and global benchmarks We’ve released the 2026 update of the Global Buildings model — one of the most important milestones for our R&D team. There are two main reasons that make us happy: first, this is our own a most demanded model in Mapflow and, second, it's aimed to work globally. In 2026, the 🏠 Buildings model is used in around 65% of all Mapflow processings. In 39% of these cases, use…
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Showing the 12 most recent of 17 posts we hold for @geoalert. View and reaction counts are the latest single reading for each post, not a live figure, and a recent post is still accumulating both. A view count marked ≈ was rounded by Telegram before we ever saw it — t.me prints views in full below 1,000 and to three significant figures above, so ≈1,200,000 means somewhere between 1,150,000 and 1,249,999. Unmarked counts are exact. Text is reproduced from the public post preview and truncated for length.
Republished by
Channels on the register that have forwarded this channel's posts into their own feed.
Built only from forwarded posts we have actually read, on both sides. Coverage is early and deliberately incomplete: a missing link means we have not read the post that would prove it, never that the relationship does not exist. Counts are distinct forwarded posts observed, so they only ever go up as we read more.
A live page changes as we take new readings, so a citation should name the measurement it is based on, not just the URL. The line below cites the subscriber count as measured 27 August 2026 — this entry's latest reading, not the date you are reading this.
“Geoalert Blog” (@geoalert), 414 subscribers as measured 27 August 2026. Telegram Register, tgregister.com/channel/geoalert.
Full measurement history, CC BY 4.0. Every reading this register holds for this entry, not just the latest one, as a dated, downloadable record: CSV · JSON. Free to use with attribution to tgregister.com. Each file carries its own generation timestamp, which is the figure to cite for exactly when the data was retrieved.