🌍 Rapid insights at your fingertips with EarthMosaics! 🛰️ Analyze critical landscape changes like flood extents, burn scars, and urban growth with high-quality, cloud-free mosaics—effortlessly. Discover Data, Access Data, Build Mosaics. Preview our data for free, and when you're ready for the full-resolution experience, our mosaics are affordably priced to fit your project needs. Explore how EarthMosaics can easily enhance environmental impact analysis, such as mapping flood extents, in this hands-on example https://lnkd.in/ghPjgWHr Ready to explore? Discover EarthMosaics today. Sign up to unlock transformative insights https://lnkd.in/gD6TGMRg #EarthDaily #EarthObservation #EOBuiltforAI #EarthMosaics #RemoteSensing #GeospatialInnovation #Sustainability
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🌍 Harnessing Satellite Imagery for Flood Impact Assessment: Valencia Case Study 🔹 Left Image: Pre-Flood Landscape Analysis with PCA PCA enhances the separation of landscape features, making it easier to differentiate between vegetation, urban areas, and natural water bodies, providing clear delineation before the flood which is crucial for assessing changes afterward. 🔹 Right Image: Post-Flood Water Depth By overlaying flood depth on the pre-flood PCA, we get a comprehensive view of the areas submerged by floodwaters. The overlaid flood data highlights the extent of water encroachment into different land cover types, allowing for a clearer analysis of affected regions. This case demonstrates the transformative role of Earth observation data in addressing real-world challenges. From rapid disaster response to long-term urban planning, satellite imagery offers insights that are essential for building resilient communities. #FloodMapping #RemoteSensing #GeospatialAnalysis #Sentinel2 #DisasterResponse #EarthObservation #Copernicus #ValenciaFlood #ClimateResilience Data source: Copernicus Emergency Management Service (© European Union 2023) Contains imagery provided by Copernicus Sentinel-2 Created with MONITORED AI - platform developed by OPT/NET BV
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Our latest geospatial analysis examines coastal flood risk across the United States using FEMA’s National Risk Index and the newly updated high-precision C-CAP data created by Ecopia in partnership with NOAA: National Oceanic & Atmospheric Administration. Here’s what we found: 🧑🤝🧑 41,936,054 people living in areas at risk of coastal flooding 🌊 275,003 square miles of land at risk of coastal flooding 🏙️ 19,947,701 exposed buildings (47.5+ billion square feet) 💰 Over $7.9 trillion of exposed building value 🥕 Over $19 billion of exposed agriculture value Check out the StoryMap linked in the comments to explore local coastal flooding in more detail, including how critical factors like social vulnerability and community resilience impact overall risk profiles. #CoastalFlooding #ClimateResilience #Geospatial #GIS #AI #Maps
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This analysis was really interesting to work on! Definitely one of my favorite projects to date. Check out the StoryMap to learn more about US coastal flood risk, including how to access these (all open source!) datasets for your own research: https://lnkd.in/gDdmGtT6
Our latest geospatial analysis examines coastal flood risk across the United States using FEMA’s National Risk Index and the newly updated high-precision C-CAP data created by Ecopia in partnership with NOAA: National Oceanic & Atmospheric Administration. Here’s what we found: 🧑🤝🧑 41,936,054 people living in areas at risk of coastal flooding 🌊 275,003 square miles of land at risk of coastal flooding 🏙️ 19,947,701 exposed buildings (47.5+ billion square feet) 💰 Over $7.9 trillion of exposed building value 🥕 Over $19 billion of exposed agriculture value Check out the StoryMap linked in the comments to explore local coastal flooding in more detail, including how critical factors like social vulnerability and community resilience impact overall risk profiles. #CoastalFlooding #ClimateResilience #Geospatial #GIS #AI #Maps
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#GIS mapping and #climate modeling is critical in safeguarding vulnerable communities. These powerful tools enable us to analyze environmental data, assess risks, and develop proactive strategies for disaster resilience. Developed for Bertie County, North Carolina, these three GIS maps illustrate sea level rise, flood zone, and historic storm inundation areas. By providing communities with visual and analytical tools, we help them make informed decisions that enhance safety and sustainability. Learn more about how SWCA is applying these methods to support coastal communities in North Carolina through the N.C. Resilient Coastal Communities Program. https://lnkd.in/ehTWtVe9
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In a study spearheaded by Professor Manoochehr Shirzaei at Virginia Tech’s Earth Observation and Innovation Lab, researchers provide a grim forecast for coastal cities in the United States facing the threat of flooding. Disappearing Cities on US Coasts leverages highly accurate space-based radar measurements. Revealing an alarming future just 26 years ahead, with significant increases in land flooding, populations affected, and property damage. Staggering Data Shirzaei states, “What we’ve done here is focused the picture on the short term, just 26 years from now.” The anticipated changes are staggering: 🌊 An increase of 500 to 700 more square miles of land flooded. 🌊 An additional 176,000 to 518,000 people affected. 🌊 A total of 94,000 to 288,000 more properties at risk, with an estimated value ranging from $32 billion to $109 billion Continue Reading: https://lnkd.in/eq3y3bXE
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🌧️ Tired of Flooded Roads and Neighborhoods? 🌊 Summit Mapping's GIS Solutions can help you stay one step ahead of heavy rains. Topographic data, rainfall patterns, and soil types. Identify flood-prone areas. With Summit Mapping, you can: ✅ Plan better drainage systems. ✅ Recommend zoning changes. ✅ Predict areas that need urgent attention before a storm hits. Protect your community—plan smarter with GIS.
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🌍 Today, June 17, we observe the World Day to Combat Desertification and Drought. This important day highlights the urgent need to address land degradation and protect our planet’s valuable resources. 🛰Earth observation plays a crucial role in this effort by enhancing our understanding of land degradation, providing early warning systems, and monitoring restoration efforts. Let's come together to promote sustainable land management and ensure a healthier planet for future generations. #EarthDaily #EarthObservation #geospatial #geosysPlatform
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Hello #connections I recently worked on analyzing rainfall data for Iran, where I created an insightful dashboard to visualize key metrics related to climate and geography. Below are some of the key analyses I conducted: City and Total Latitude: I displayed the cities along with their total latitude, helping to visualize the geographical positioning of each city in relation to the equator. City and Total Longitude: Similar to latitude, I presented the cities alongside their total longitude, giving insights into their east-west positioning across the globe. Climate Type and Total Rainfall: I analyzed the correlation between climate type and total rainfall, providing a clearer picture of how different regions in Iran experience varying levels of precipitation. City and Total Elevation: I mapped the elevation data for each city, showcasing the variation in altitude across different regions, which could be significant in understanding rainfall patterns. Climate Type and Longitude: I explored how different climate types relate to the geographical longitude of cities, adding another layer of understanding to the regional weather patterns. By integrating these key data points into a dynamic dashboard, I was able to provide actionable insights that support better decision-making for environmental planning and resource management. Excited to continue exploring data-driven solutions for geographic and climate-related challenges! https://lnkd.in/dA-rFeP9
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What do you get when you cross a FEMA map and a state-certified Landslide susceptibility study map? A way to visually show local governments their community susceptibilities to disasters and talk strategies to plan ahead. #gis #gisanalysis #qgis #disasterplanning
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