It's #ChiefTodd Eve on KARK 4 News! Continue to help us welcome Chief Meteorologist Todd Yakoubian to the Arkansas Storm Team! KARK.com/YAK for more. #arwx #ARStormTeam
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Unveiling Twisters: Cutting-Edge Storm Tracking Tech Explained Explore the latest in storm tracking tech used in the movie Twisters, showcasing modern meteorologist tools and techniques for a realistic experience. Stay informed on the innovation in storm chasing. #TwistersMovie #StormTracking #MeteorologistTools #StormChasing #Innovation #StormTechnology #WeatherTech #MovieTech #WeatherInnovation #StormTools
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Are you ready to face the tornado and save the world from nature’s fury? Our Zibra Smoke & Fire solution was used in another project to create a stunningly realistic tornado effect! Tornado: Research and Rescue! is an action-packed adventure game where you battle the forces of nature to save lives. As a skilled storm chaser, you’ll gather crucial data, develop innovative defenses, and embark on daring rescue missions. Check it out on Steam! https://lnkd.in/eigHx6h5 P.S. You can grab Zibra Smoke & Fire here: https://lnkd.in/eQhHvtAk #vfx #gamedev #Zibra_AI #simulation
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Storm Tracking Tech: Twisters Behind the Scenes Discover the latest storm tracking technology used in the movie Twisters. Explore the tools and techniques of modern meteorologists and storm chasers. #TwistersMovie #StormTracking #Meteorologists #StormChasers #MovieTechnology #BehindTheScenes #StormTech #WeatherTech #MovieMagic #TechInFilms
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Rat Invasion! Escaping Arizona's Heatwave 🐀 #ArizonaHeatwave, #RatInvasion, #PestControl, #DesertWildlife, #UrbanWildlife, #RoofRats, #HeatwaveImpact, #HomeInfestations, #RatMigration, #ArizonaLiving, #WildlifeManagement, #RodentControl, #AtticInfestation
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Joyeux jeudi, Terriens. "A picture tells a thousand words" - or does it? In an age where we (collectively) show more skepticism than sympathy - or kindness and default curiosity -, the human stories of devastation and loss are being discarded, lost, or ignored without "proof". But what if we could help explain our world through the narrative of unbiased geospatial imagery? And on top of this "picture" we layer analytics that help interpret the story of the pixels we don't see with our naked eye (or in the case of SAR understand what the hell we are looking at..) Take the post below - an ongoing analysis of the tornado that hit Sulphur, Oklahoma where casualties included a 4-month old baby girl who never got a real shot at this thing we call life. What does a geospatial post-mortem of the devastation actually *do*? First, it unlocks resources for the people affected. Then, we train models on these images to start building trends, and then we start working to build out disaster PREPARATION tools, not just disaster RESPONSE tools.. and soon enough people can keep their families a little safer and maybe find a little room for the kindness and curiosity that makes this tribe called HUMANS the best version of itself. At SkyFi, we want Earthlings to have easy access to this data and these tools, so people like Jamie Portolese, GISP can help make this work a little bit better for the rest of us. And, I want to shout out to our partner Planet. We practice what we preach; make a friend today, Earthling. We're stronger together
Sulphur, OK - After acquiring imagery through SkyFi I ran an NDVI on before and after Planet 3-meter imagery. I think it does a good job of determining the path the tornado took through town. Downtown took a direct hit and if you saw my previous post, was largely destroyed with many buildings a total loss. Along with the wind came an incredible amount of rain which is noticeable in the imagery. Ponds and streams were full and contributed to the NDVI change over the entire image and not just in the tornado's path. #geospatial #damageassessment #tornado #extremeweather #ndvi #imageprocessing Planet SkyFi
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The Park Fire (https://lnkd.in/dG_TyxKD ) has burned through 400,000 Acres by now. Lassen forest is a 1 million Acres of land in Lassen, Shasta, Tehama, Plumas, and Butte counties. Satellites and #EO are helpful in predicting the spread of fires and containing them. Over 6,000 personnel, 45 helicopters, dozens of fire tenders and dozers are at work. The sheer scale and economics of fighting these mega-fires is mind-boggling. The destruction is enormous. But they are not fait-accompli. The same satellite data and AI leveraged over the forest, with a fraction of resources would make the whole forest healthy and resilient for the next century. The economics of fire prevention vs fire fighting are so common-sense that they do not even need an analysis. ForestSAT AS
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As a joint initiative of USAID and NASA - National Aeronautics and Space Administration, we help communities around the world better prepare for weather-related disasters by strengthening early warning systems. In Nepal, our partner ICIMOD is training high school teachers on disaster preparedness. Watch the story of Keshav Prasad Kadel, a teacher and vice principal in Nepal’s Bagmati Province, who can now predict a flood roughly two days before it happens by using SERVIR’s flood prediction tool. “Sometimes, my neighbor calls me the weatherman,” Keshav says. https://lnkd.in/eYeQs-eK
The Weatherman
https://www.youtube.com/
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Here's a great explanation on SAR and how radar satellites see through clouds, day or night and in any weather conditions. Differentiating technology that powers ICEYE Flood & Wildfire Insights before, during and after a natural disaster. #sar #naturaldisasters #flood #hurricane #wildfires https://lnkd.in/eAR4dgXU
How Radar Satellites See through Clouds (Synthetic Aperture Radar Explained)
https://www.youtube.com/
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Foresters and meteorologists coordinate to create a fire spread model, and just like warnings issued for tornadoes or severe thunderstorms, meteorologists draw a polygon predicting the fire’s most likely paths and issue instructions to those within the polygon. https://hubs.li/Q02qbTTv0
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"Analyzing Shoreline Changes with LiDAR: A Look at Hurricane Sandy’s Impact" In this analysis, I used LiDAR datasets to compare shoreline changes before and after Hurricane Sandy. By mapping and visualizing the two data sets, it becomes clear how dramatically the storm reshaped the coastal landscape. The pre-storm LiDAR data shows the original shoreline, while the post-storm data reveals significant erosion, beach loss, and changes in elevation. This comparison highlights the power of LiDAR in environmental monitoring, offering valuable insights for coastal management and future storm preparedness. #GIS #LiDAR #CoastalErosion #HurricaneSandy #ShorelineChange #EnvironmentalMapping #SpatialAnalysis
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