cloudeo’s Post

Get advanced #risk #analytics anywhere on the planet via API directly into your workflows with #answr 🌎! 📊 ⚙️ Improve the automated calculations and workflows of your organization by gaining access to vast quantities of complicated #climate and risk data gathered from numerous sources. With access to answr.space data you'll have: ✅ Risks for every natural disaster at point level including cold wave❄️, heat wave🌡️, flood 🌊, windstorm🌪, wildfires🔥 ✅ Seamless integration in any ERP, asset management, GIS platform, and other applications via API ✅ Combination of satellite, meteorological, and other geospatial data for localized underwriting information ✅ Continuous data management and updates to ensure rapid access to high-quality data Interested in answr? Visit the following link to find out more about the product, and request a quote today! ➡️ https://lnkd.in/dFgzvjhf #datamanagement #assetmanagement #riskmanagement #naturaldisasters #flood #heatwave #wildfires #hurricane #geospatial cloudeo Hellas

#Tsunamis, #volcano, #hurricanes, #cyclones, fast #floods #simulation and #modelling to predict accurate future using past historical billions of #datasets using #AI, #ML, #fuzzy-logic and #neuralnetworks #software with high speed #computing #parallel #processing #computers #converged #architecture and #convergence of #technologies with #complex #systems #integration for seamless interaction… Ping me if you are interested we can start from Scratch to prove beyond imagination that humans can do better to save nature and save humans, animals and all species on earth for a long lasting happiness…All #Government Agencies should immediately focus on these technologies on #emergency basis to avoid future disasters in the environment

Floods have complex causes, dangerous risks for communities, and let's face it- they're pretty messy to deal with. That includes on the planning and modeling side. In a recent paper, IRIS affiliates Félix Santiago-Collazo and Matt Bilskie with experts from Louisiana State University describe how they attempted to make compound flooding a little bit easier to understand. Instead of creating a large framework that accounts for any number of the small factors that influence flooding events, the authors put together an inundation model that prioritizes the most important factors in a flooding event. “The two most important mechanisms that drive inundation during an extreme meteorological event in a coastal watershed are precipitation (i.e., rainfall) and storm surge. Moreover, waves and astronomical tide mechanisms can enhance the total inundation and, even in some regions, can be the dominating factor.” Read more about how the team broke down these complicated events here: https://lnkd.in/eBBd-arC

Sriya.AI's revolutionary LNM predicts US SE Coastal Inundation with nearly 100% accuracy. I am very happy to share the results of a very crucial "US SE Coastal Inundation" project our team did this week and shared the results with our project sponsor. We now have a meeting with NOAA next week and hopefully will help NOAA to predict Coastal Flooding better initially in the east coast and then even in the west coast. Our prediction accuracy is >99%. See results below. Target Variable Flood Risk ( Yes: MLLW >6.5 ft , No: MLLW<6.5ft) Flood Risk: 7.96 % For ALL FEATURES No. of Independent Features: 53 No. of Rows: 2073 Sriya ML: Accuracy: 93.01% Precision: 78.57% AUC: 0.931 SXI: Accuracy: 95.18% Precision: 90.90% AUC: 0.946 SXI++: Accuracy: 99.97% Precision: 99.95% AUC: 0.997 DATA SETS: 4 RIVERS SEA LEVELS LUNAR CYCLE WEATHER DATA 6 TO 7 DATA SETS TOGETHER TRUE LNM

Congrats to Sriya.AI team on their successful use of our Large Numerical Models #LNM prediction of coastal flooding with 99% precision and accuracy! Let’s chat about your use case to leverage #SXI+

🌍 Visualizing Flood Occurrences with Sentinel EO Browser 🌧️  the video walk you through the step-by-step process of selecting sentinel data, applying visualization techniques, and analyzing flood events. Whether you're working in GIS, remote sensing, or environmental monitoring, this tutorial is a great resource to enhance your skills in flood detection and analysis. #FloodMonitoring #RemoteSensing #Sentinel2 #GIS #EnvironmentalMonitoring #GeospatialAnalysis #FloodDetection #EarthObservation #Hydrology #SpatialData #NaturalDisasters

Google Earth Engine Tutorial-63 Published: Urban Flood Mapping, using SAR and Precipitation Data #urban #flood #natrualhazard #disaster #sar #sentinel1 #climate #precipitation #climatechange #radar #remotesensing #googleearthengine #hydrology #earthobservation https://lnkd.in/dd9SVnYG

🌧️🌪️ #StormElin & #StormFergus (9-10 Dec 2023): These consecutive storms brought severe weather and widespread flooding due to already saturated ground from a wet autumn. Gusts reached 81 mph and 94mm of rainfall recorded in Keswick, Cumbria. Numerous flood warnings were issued for major rivers, including the #Severn and #Ouse, with the ongoing threat of groundwater flooding. 🚨Impacts: Numerous flood warnings, major transport disruptions, and ongoing risk of groundwater flooding. Significant power outages in affected areas. #UKStorms #StormSeason #GeographyTeacher #UKEdChat #Geography #StormNames #WeatherEducation #Education #ExtremeWeather Met Office Met Éireann KNMI - Royal Netherlands Meteorological Institute

𝐕𝐢𝐞𝐰 real-time weather conditions and flood risk areas using the 𝐁𝐞𝐥𝐢𝐳𝐞 𝐅𝐥𝐨𝐨𝐝 𝐀𝐥𝐞𝐫𝐭 𝐀𝐩𝐩, built with #ArcGIS Experience Builder! Access the app here: https://arcg.is/1fGn8T0 𝐙𝐨𝐨𝐦 in on the map to view flood alert areas highlighted in red. 𝐃𝐚𝐭𝐚 𝐒𝐨𝐮𝐫𝐜𝐞𝐬: The Communities with Flood Alerts/Warnings - Flood Forecast, 𝘏𝘺𝘥𝘳𝘰𝘭𝘰𝘨𝘺 𝘋𝘦𝘱𝘢𝘳𝘵𝘮𝘦𝘯𝘵, 𝘔𝘪𝘯𝘪𝘴𝘵𝘳𝘺 𝘰𝘧 𝘕𝘢𝘵𝘶𝘳𝘢𝘭 𝘙𝘦𝘴𝘰𝘶𝘳𝘤𝘦𝘴, 𝘗𝘦𝘵𝘳𝘰𝘭𝘦𝘶𝘮 & 𝘔𝘪𝘯𝘪𝘯𝘨. The Communities layer - 𝘚𝘵𝘢𝘵𝘪𝘴𝘵𝘪𝘤𝘢𝘭 𝘐𝘯𝘴𝘵𝘪𝘵𝘶𝘵𝘦 𝘰𝘧 𝘉𝘦𝘭𝘪𝘻𝘦 The Flood Prone Areas Layer - 𝘉𝘦𝘭𝘪𝘻𝘦 𝘓𝘢𝘯𝘥 𝘙𝘦𝘴𝘰𝘶𝘳𝘤𝘦 𝘈𝘴𝘴𝘦𝘴𝘴𝘮𝘦𝘯𝘵 (𝘒𝘪𝘯𝘨 𝘦𝘵 𝘢𝘭.) The Projected Storm Path - 𝘕𝘖𝘈𝘈 The Weather Satellite Imagery - 𝘕𝘖𝘈𝘈 𝘎𝘖𝘌𝘚 𝘌𝘢𝘴𝘵 𝘢𝘯𝘥 𝘞𝘦𝘴𝘵 𝘴𝘢𝘵𝘦𝘭𝘭𝘪𝘵𝘦𝘴, 𝘈𝘳𝘤𝘎𝘐𝘚 𝘓𝘪𝘷𝘪𝘯𝘨 𝘈𝘵𝘭𝘢𝘴 𝘰𝘧 𝘵𝘩𝘦 𝘞𝘰𝘳𝘭𝘥 #ArcGIS #Disaster #Floodforcasting #TBSLBelize

Flood mapping using Google earth engine platform