❗️ BREAKING:
After Ukraine granted security for the Russian parade, Putin just announced there will be no promised exchange of POWs.
“Ukraine, before Victory Day, showed us they are not ready for the exchange,” he claimed.
Never trust a Russian or the Orange Monkey
#OVERWATCH project supports #emergency and #crisismanagement for #floods | #wildfires Do you want to learn more? 👉 https://t.co/ISi4vd2Sm6
EO Services results may be insufficient; supplementary WMS provided by Copernicus EMS European Flood Awareness System helps address this limitation. We can use the WMS layer to show the major rivers. A static layer shows major rivers at variable widths for each river level. Using the Rapid Flood Mapping tool, defining the exact date when the event occurs in the relative time parameter field, we can get the estimated flood extent at 90m resolution based on forecasted flood magnitude. Reporting points WNS showing the furthest downstream locations where the forecasted probability in the percentage of extreme runoff accumulations exceeds a 2(yellow), 5 (red), or 20 (purple) year return period magnitude. To get a better overview at a global level we can add the Observation Precipitation WMS on a specific instant when the event took place, we will see the Accumulated rainfall (mm) interpolated from observations, for 24 hours before the specified date.
Partners: @EU4Space@robottoco@Ithacasrl@LinksFoundation@CBK_pan@EngineeringSpa@INESCTEC@Holo_LightGmbH
On January 30, 2025, we conducted flights to test the #GalileoHAS (High Accuracy Service) receiver.
We have set up the system with a HAS receiver and an embedded board to log the receiver's performance data.
We have then conducted performance tests in static mode using RTK (Real-Time Kinematics) corrections and Galileo HAS corrections on the E6 band.
Finally, we performed multiple dynamic performance tests using a six-copter #drone provided by @INESCTEC@EU4Space
#OVERWATCH MTR meeting hosted by Project Coordinator @Ithacasrl in the beautiful city of #Torino (#Italy).
@robottoco & @Holo_LightGmbH demonstrated live the functioning of some of the technologies involved in the project: #AR and #drones.
more👉 https://t.co/3ZFaCryvkQ
SHIELD Project is officially completed today! The concept and the outcomes are presented in the below video
@CyprusInstitute@FBK_research@INESCTEC@Cyprus_Police Department of Antiquities
https://t.co/Zejay0UJOm
DEEPFIELD summer school on Machine Learning organized by our partners @HeriotWattUni has already started. The group of @INESCTEC researchers will have the opportunity to learn more about the subject during this week.
DAY3
☕️🚶♂️ Good morning from #FirelogueXSolsona workshop!
Yesterday's parallel sessions gave us valuable insights. Today we'll have a sum-up and closure session.
Let’s start 🌳🔥
#wildfire#resilience
Day 2:
🔥🌍 The #FirelogueXSolsona workshop kicks off today at @ctforestal !
Join us for parallel sessions on Environ/Ecology, Societal, Infrastructure, Insurance, Civil Protection.
Follow along to stay updated on the latest developments in wildfire resilience. 👨👩👧👦🚒 #WFRM
Field trip continues🔥
👉 @NAThaz_recipe and @pirocumul presenting strategic management of pre-defined wildfire events and a fire/post fire landscape vision.
Excited to see more on the #FirelogueXSolsona Workshop!
🔥 #FirelogueXSolsona has began!
First stop: “The field trip”; which is located around the Llobregat river, the Montserrat mountain, the peri-urban area of #Barcelona and the agricultural plateau of central #Catalonia creating an ideal environment for the 5 #WG!
📢 Stay tuned!
🗓️ Save the dates and stay tuned!
🤝Next Week #Firelogue's Workshop in Solsona; The Working Groups will explore new learning fields and explore new solutions.
Here's a glimpse of Day 2, 5th of July, 2023! https://t.co/gFhqaMNUfd
We invite contributions to the DeepField 2023 workshop on “Deploying mobile robots in unconstrained real-world environments” - https://t.co/Qf3lhjolvi
#deeplearning#mobilerobotics
Congratulations to our PhD Student Sara C Freitas who defended her thesis entitled “Hyperspectral imaging for remote marine litter detection and classification using learning based approaches”. #DeepLearning#marinelitter@INESCTEC