sigon
The sensors on board take one image for each band so
there is a slight temporal offset between the images taken. This offset is corrected for ground level so objects on the ground appear as if taken by a single camera at the same time. The parralax error introduced by the altitude of the plane leads to this visible offset
via: Pierre_Markuse@twitter.com
More technical explanation about parallax effects on stackexchange:
sigon
RT: CopernicusEU@twitter.com
For plane chasers
When we published imagery of the #Veneto 🇮🇹 region after the torrential rains of end October, we did not notice this airplane flying over Venice, and the nice rainbow coloured-contrail
#Sentinel2 🇪🇺
🛰 image acquired on 31/10 Processing by Angelina Bekasov
sigon
Cool Images of #Tenerife by the Sentinel Vision team.
As other archipelagoes of Macaronesia, Canary islands are thought to be the product of hotspots.
The Teide-Pico Viejo stratovolcano, at 3,718 m, is the highest peak on Spanish soil. Rising 7,500 m above the ocean floor, it is regarded as the world’s third-tallest volcanic structure.
http://visioterra.net/svp/gallery/html/817e983e0e3b4859bc7091639e3c1e4d
Tux Machines
#CubeSats that confirmed Mars Insight landing feature embedded Linux COM
http://www.tuxmachines.org/node/117968
sigon
Seems like is a collaboration between Lockheed Martin & AWS to integrate the new AWS Ground Station service with Lockheed Martin’s new Verge antenna network.
CommitStrip
Meanwhile on Mars #14 – Welcome, Insight
http://www.commitstrip.com/en/2018/11/28/meanwhile-on-mars-14-welcome-insight/
sigon
WOW!! AWS now have Ground Stations as a Service to command and control satellites, downlink & process satellite data on-demand.
KDE
We are proud to have played our small part in InSight's #MarsLanding. Congratulations NASA!
Hax
I hate pinterest and instagram
sigon
First image #MarsLanding #InSight
sigon
Almost there. Good Luck!! #InSight
Live coverage starts at 19:00 GMT (20:00 CET).
Cocoron :sunbeam:
In summary:
- Exxon Mobile knew since at least the 70s about the potential harm caused by global warming and greenhouse gas emissions.
- In the 80s, they concluded that global warming would actually be good for profits; the polar ice caps would melt, making it easier to get at Arctic oil reserves.
- They started to collaborate with other fossil fuel companies to knowingly lie about CO2 emissions and its effects, in order to stop any global coordinated efforts to to prevent climate change.
Cocoron :sunbeam:
I am so fucking angry.
Oil companies, for decades, have been DELIBERATELY ACCELERATING global warming in order to MELT THE FUCKING MELT THE POLAR ICE CAPS so they can extract oil from the Arctic more easily!
https://twitter.com/buttpraxis/status/1065395785729273856
These people are murderers. They are destroying our planet and wiping out the human and non-human life for easy profit!
Ind.ie
‘LinkedIn processed 18 million email addresses of non-users for targeted advertising’
“LinkedIn processed the email addresses of 18 million non-members and targeted them with advertising on Facebook without permission, an audit by the [Irish] Data Protection Commissioner has found.”
Also on our forum: https://forum.ind.ie/t/linkedin-processed-18-million-email-addresses-of-non-users-for-targeted-advertising/2505
sigon
#InSight Set to Land on #Mars November 26
After 6.5 months traveling at 10,660 kph
via: NASAInSight@twitter.com
sigon
RT: Oatmeal@twitter.com
Dear internet: next week we're landing on Mars. Here's everything you need to know.
🎃👻💀 dozens ✅
found this amazing little story at the bottom of the man page for bwbasic, the BASIC interpreter installed on tilde.town.
Thanks, Mrs. Verda Spell!
sigon
congrats #Copernicus #sentinel #OpenAccessHub
sigon
Animating the Mercator projection to the true size of each country in relation to all the others
sigon
Raster Vision: A New Open Source Framework for Deep Learning on Satellite and Aerial Imagery
Raster Vision is an open source framework for Python developers building computer vision models on satellite, aerial, and other large imagery sets, including non-georeferenced data like oblique drone imagery.
#python #opensource #remotesensing #satellite #deeplearning
https://www.azavea.com/blog/2018/10/18/raster-vision-release/
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