Channel
@EarthFromSpaceCN
On this record: Growth · Engagement · Posts · Citations · Cite this entry
1,290subscribers
-2 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of 1,000–3,162.
| Telegram ID | -1004492152917 |
|---|---|
| Type | Channel |
| Username | @EarthFromSpaceCN |
| Created | Between 1 June 2026 and 5 August 2026— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 6 August 2026 |
| Last confirmed live | 13 August 2026 |
| Measurements held | 5 |
| Confirmed unchanged | 1 time, most recently 13 August 2026 |
| On Telegram | t.me/EarthFromSpaceCN |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 13 Aug 2026, 08:16 | 1,290 | +1 |
| 10 Aug 2026, 17:31 | 1,289 | -2 |
| 7 Aug 2026, 18:21 | 1,291 | -1 |
| 6 Aug 2026, 20:01 | 1,292 | no change |
| 6 Aug 2026, 19:52 | 1,292 | first reading |
10 posts held, back to 5 August 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 pageof Telegram’s post history, 20 posts per page.
ERR is average views per post over the last 30 days divided by subscribers, the definition TGStat uses, so this figure is comparable with the one you will see elsewhere. It falls structurally as a channel grows: a high ERR on a small channel and a low one on a large channel describe reach mathematics, not quality. We publish the figure and the sample it came from and pass no verdict on it.
ER is defined industry-wide as (forwards + reactions + comments) ÷ views— note the denominator is views, not subscribers. Telegram’s public web preview carries views and reactions but not forward or comment counts, so the reaction rate above is the reactions term only and is therefore a floor: the true ER for this channel is higher by an amount we have not measured and will not estimate.
| Window | Rolling 30 days · latest post in window 6 August 2026 |
|---|---|
| Posts held | 10 (5 August 2026 – 6 August 2026) |
| Views total | 25 |
| Reactions total | — |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 6 Aug 2026, 20:01 UTC |
Views are a single reading per post, taken at the time above. A post published in the last day or two is still accumulating views, which pulls the 30-day average down slightly. That is a property of the standard definition rather than a fault in it, so we keep the definition rather than “correcting” the number into something nobody can reproduce.
Precision. Telegram publishes view counts on its public widget in short form — 8.12K, 3.7M — so any reading at or above 1,000 reaches us rounded to three significant figures, and only counts below 1,000 are exact. Averages and rates derived from them are shown to the same precision rather than to the unit: a figure like 3,701,250 would assert digits nobody measured.
Reaction counts are published per emoji and rounded the same way, so a total below 1,000 is exact and a larger one is a sum that may carry a rounded component from each emoji above 1,000. Because it is a sum, it does not look rounded — read a large reaction total as three significant figures per contributing emoji rather than as the figure it prints.
火星迎来三架新直升机，专为钻地探宝而来 NASA 发布了一幅概念图，描绘未来三架 SkyFall 直升机在火星上空编队飞行的场景。它们不只要看地表，更要「透视」火星地下。 这幅艺术概念图展示了 NASA 的三架 SkyFall 火星直升机在红色星球表面低空飞行的设想画面。 画面中，直升机大型天线向外发射的绿色频率波，代表它们正在收集地表以下的雷达数据，相当于给火星做一次「CT 扫描」。 而红色的光束则代表采集近红外影像数据，用于分析火星的风化层——也就是被压碎的岩石和尘埃——以及其他地表特征。 每架 SkyFall 直升机都配备了四台科学仪器。它们的任务，是追随 NASA 此前「机智号」火星直升机的脚步。 「机智号」原本只是一次技术验证，却意外证明了在火星稀薄大气中进行动力飞行的可行性，为这类更复杂的空中探测铺平了道路。 下次再看到火星探测的消息，不妨留意一下：当直升机开始在天上飞，人类对这颗红色星球的探索，已经从…
NASA 新任务 SkyFall：给地球做一次“透视体检” 一张来自 NASA 喷气推进实验室的照片，主角不是壮丽的星云，而是一根正在接受测试的天线。它属于一个名为 SkyFall 的新任务——三架装备了探地雷达的飞机，将追随“机智号”火星直升机的脚步，从空中“看穿”地表。 这张照片拍摄于南加州 NASA 喷气推进实验室的环境测试实验室。SkyFall 任务的探地雷达工程师 Maya Román，正在电磁干扰测试舱内，将一根同轴电缆连接到测试天线上。 测试时天线被特意朝上指向，目的是尽量减少反射，以及测量过程中对天线方向图产生的干扰。只有排除这些干扰，雷达才能获得干净、准确的数据。 SkyFall 任务由三架飞机组成，每架都搭载四台仪器。它们将延续 NASA“机智号”火星直升机的探索路径——那架直升机在近三年时间里，于火星上空飞行了 72 次。 探地雷达的原理并不复杂：它向地面发射电磁波，电磁波遇到不同物质的分界面会反…
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易北河口的潮汐，把海岸画成了流动的沙画 德国海岸边，潮起潮落之间，大片滩涂时隐时现，一条繁忙的航道在卫星影像中清晰可辨。 这张影像由 Landsat 9 上的 OLI 仪器拍摄，捕捉的是德国易北河入海口一带的潮间带景观。 所谓潮间带，就是涨潮时被海水淹没、退潮时露出水面的那片区域。在这里，潮汐的节奏决定了海岸的面貌：水来的时候，滩涂隐入水下；水退之后，大片泥沙和浅滩重新浮现，形成复杂的纹理。 影像中那些深浅不一的色块，正是不同高度、不同含水量和不同沉积物组成的滩涂。水流冲刷出的沟槽和沙脊，像画笔一样在海岸上留下痕迹。 这片区域不只是自然奇观，也是欧洲一条重要的航运通道。易北河通往汉堡港，是德国乃至欧洲最繁忙的港口之一。卫星影像里那条明显的深色水道，就是船只进出港口的航道，需要持续疏浚以保持足够水深。 潮汐不仅塑造了这里的海岸形态，也影响着航运节奏。大型货轮往往要趁着涨潮时进出港口，以确保足够的吃水深度。 下次再看到…
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火星上回望地球：一颗小亮点藏到了火卫一身后 这张影像里最动人的，不是火星地貌，而是一个遥远的小光点——地球。它正缓缓移动，最终藏到了火星卫星火卫一的身后。 这张影像由美国宇航局“毅力号”火星车上的Mastcam-Z相机拍摄，由七张图像合成。画面中，地球是一个从左上向右下移动的细小亮点，在2026年7月2日、任务第1907个火星日，从火卫一身后经过。 火卫一是火星两颗卫星中较大的一颗，形状不规则，像一颗被引力束缚的土豆。它绕火星运行的速度极快，一个公转周期仅约7.7小时，比火星自转还快，因此从火星表面看去，它每天都会从西边升起、东边落下。 影像的黑色背景并非火星夜空原本的模样，而是图像处理时去除了背景杂散光，以突出地球和火卫一的细节。Mastcam-Z是一台可变焦相机，能够捕捉火星表面及天空的高分辨率彩色影像，这次它把镜头对准了头顶的天象。 从火星回望地球，地球不过是一个像素大小的亮点。这个视角提醒我们，在数亿公里之外，…
欧洲森林正悄悄变瘦，2018年后损失加剧 欧洲的森林正在失去比以往认知更多的生物量，干旱、虫害等干扰正让一些最古老的森林承受越来越大的损失。这一趋势自2018年以来明显恶化。 这项研究发表在《自然·地球科学》上，由欧洲空间局（ESA）的一项计划支持。 研究团队利用卫星气候数据集，追踪了欧洲森林生物量的长期变化。 所谓生物量，简单说就是森林里活着的树木和植被的总质量，是衡量森林健康与碳储存能力的关键指标。 结果发现，2018年之后，生物量损失急剧上升，干旱、风暴和昆虫爆发接连冲击了中欧一些最古老、生物量最丰富的森林。 这些老林原本是欧洲的碳库大户，如今却成了损失最集中的区域。 研究由ESA气候变化倡议下的RECCAP-2项目支持，这是一个利用卫星数据核算区域碳收支的国际合作计划。 过去对森林损失的估算往往依赖地面调查或较粗的卫星数据，容易漏掉小规模但持续的干扰。 而这项研究借助更高分辨率的卫星观测，看到了更真实的…
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巴西的“沙漠”里，为何年年冒出上千个淡水湖 这片沿海沙丘看起来像沙漠，每年雨季却会灌满清澈的淡水湖，形成沙水交织的奇景。 这里是巴西的伦索伊斯·马拉年塞斯国家公园，位于大西洋沿岸。 影像由 Landsat 9 卫星拍摄，画面中可以看到数百个淡水潟湖镶嵌在白色沙丘之间。 这片区域年降雨量集中，雨季时雨水在沙丘低洼处汇集，形成临时湖泊。 沙层下方存在不透水层，阻止湖水快速下渗，让湖泊能维持数月之久。 旱季来临后，湖水蒸发，景观又退回一片沙白，等待下一个雨季。 下次看到沙与湖共存的画面，不妨想想：地表的样子，常常是水与时间反复博弈的结果。 #卫星 #地球 #巴西 #伦索伊斯马拉年塞斯 #Landsat9 #沙丘 #淡水湖 #遥感 #地貌 #国家公园 @EarthFromSpaceCN
Showing the 10 most recent of 10 posts we hold for @EarthFromSpaceCN. 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.
Citation-graph rank — 155,296 of 1,480,688entries in the measured graph. A weighted position computed from the forward and mention edges below — republished posts weigh more than named mentions — and recomputed periodically, over the whole graph. Published only as this ordinal position, never as a score: a position is a fact, and a score printed beside one channel’s name would read as a verdict this register does not make. The two counts beneath stay separate for the same reason mentions are never summed with forwards anywhere else on this page — a named-by count costs nothing to manufacture. The top 100 by this measure, or how it is computed.
Named by 28 registered channels — every channel on the register whose own posts have named this one, by its current username or any other username it currently holds, merged from two separately captured readings of the same fact so a namer caught by only one of them is not missed and a namer both caught is not counted twice. A username this channel has since dropped is not matched — that handle may belong to someone else now, and crediting today’s namer to yesterday’s owner would misattribute it. The 24 listed below are the most frequent namers; the rest are counted above but not each listed.
Named by
Channels on the register whose posts name this channel's handle.
Names
Channels on the register whose handles appear in this channel's posts.
A mention is a weaker signal than a forward and is counted separately for that reason — naming a channel is not republishing it, and a handle in a post body is easy to place deliberately. The post counts beside each row below are distinct posts in which the handle appeared, from posts we have read on both sides — the “Named by N registered channels” figure above is a different count, of distinct NAMING CHANNELS rather than posts, and is not the sum of the rows under it.
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 13 August 2026 — this entry's latest reading, not the date you are reading this.
“从太空看地球｜卫星遥感·地球观测·科普” (@EarthFromSpaceCN), 1,290 subscribers as measured 13 August 2026. Telegram Register, tgregister.com/channel/EarthFromSpaceCN.
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.