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Copernicus EMS

@CopernicusEMS · European Commission · joined 18 Nov 2013

Copernicus Emergency Management Service provides mapping products based on satellite imagery as well as #ForestFires #Flood and #Drought early warning products.

71 043Followers
1 561Following
41 176Posts total
18.7KViews on collected posts

Postingan terbaru

Our latest #EFFIS Fire Danger Forecast Anomaly data for 10-16 Sept foresees unusual conditions across Europe Darker areas = stronger anomalies vs. historical data, meaning weather conditions are expected to be more favourable than usual for wildfire spread in case of ignition ht
2.8K views · 59 likes · 33 reposts · 0 replies Open on X →
Places are still available for the #SUNSHINE 2nd Simulation Exercise! Civil protection professionals from across Europe will put #CEMS tools to work in live crisis scenarios 📅6-7 October 📍Brussels Express your interest now 👉https://t.co/l6iyxk1gW6 https://t.co/OIwHEGTcxt
1.4K views · 5 likes · 3 reposts · 0 replies Open on X →
@CopernicusEMS @ComisionEuropea @CE_PTrep @UEFrance @EEAthina @europainitalia @AmbassadorEU @eusrbija @EUAmbME @vostSPAIN @VOSTeurope Hardly surprising. If only we had ignored Greenpeace 50 years ago and built nuclear power, we wouldn't be looking at this map now. Emissions have 69 views · 1 likes · 0 reposts · 0 replies Open on X →
🔥Wildfires in Europe, July-August 2026 Each circle represents a different burnt area mapped by #EFFIS during the peak months of the fire season. The darkest, above 10 000 ha, are in Spain, Portugal, south-west France, Greece and Serbia Explore EFFIS 👉 https://t.co/ddc3XMwBuj ht
6.9K views · 123 likes · 63 reposts · 2 replies Open on X →
Our latest #EFFIS Fire Danger Forecast Anomaly data for 3-9 September foresees unusual conditions across Europe Darker areas = stronger anomalies vs. historical data, meaning weather conditions are expected to be more favourable than usual for wildfire spread in case of ignition
3.5K views · 87 likes · 50 reposts · 0 replies Open on X →
🗓️Save the date! On 10, 11, and 12 November, we are hosting a workshop on AI methods for detecting building damage from earthquakes and storms using very-high-resolution (VHR) imagery Programme includes presentations, technical sessions and exercises 🔗https://t.co/W8uTIlVncK h
3.9K views · 61 likes · 25 reposts · 0 replies Open on X →

Dibandingkan akun berukuran sama

6 postingan dari 90 hari terakhir, dibandingkan dengan rentang 10K–100K pengikut. jangkauan biasa untuk ukurannya, reaksi lebih kuat dari kebanyakan.

Median tayangan3 190akun ini991median untuk 10K–100K
Jangkauan, %4.49%akun ini3.67%median untuk 10K–100K
Interaksi, %2.47%akun ini1.61%median untuk 10K–100K
MetrikAkun iniMedian untuk 10K–100KRasio
Median tayangan per postingan3 1909913.22×
Jangkauan (tayangan ÷ pengikut)4.49%3.67%1.22×
Tingkat interaksi2.47%1.61%1.53×

Akun lain pada rentang ini →   Bandingkan dengan akun lain →   Bagaimana tolok ukur ini disusun →

Growth & engagement

How the posts we collected actually performed: views and reaction rate post by post, what the audience did with them, and where the follower count goes.

Views per post

3.9K2 Sep
3.5K3 Sep
6.9K8 Sep
69
1.4K9 Sep
2.8K10 Sep

Last 6 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.

Engagement rate per post

2.22%2 Sep
3.87%3 Sep
2.73%8 Sep
1.45%
0.56%9 Sep
3.24%10 Sep

Reactions — likes, reposts, replies and quotes — divided by views. Median for 10K–100K accounts is 1.61%.

What the audience does

Likes59.5%336 in total
Reposts30.8%174 in total
Replies0.4%2 in total
Bookmarks9.4%53 in total

Share of every reaction we collected for this account. Replies mean argument, reposts mean endorsement, bookmarks mean the post was worth keeping.

The follower curve appears once this account has two daily snapshots — we take one a day, and this one is on its first.

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