Mike Elstermann (geoObserver)’s Post

Impressed by the rain flood simulation in ArcGIS Pro! Sharing a demo activity from Kuwait. 🌧️ #ArcGISPro #GeospatialAnalysis #FloodSimulation #GIS #Kuwait #DataVisualization #TechInAction"

I have been utilizing the FastFlood tool for flood modeling and prediction. This incredibly efficient tool, developed by Bastian van den Bout, Highly recommended for those in the field of geospatial analysis! #ITC #Utwente #Floodmodeling #gis #floodrisk #climatechange

🌍 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

In May 2021, Cyclone Yaas struck the east coast of India, bringing wind gusts of up to 140 kilometers per hour (87 mph). By May 23, it had intensified to the equivalent of a Category 1 Atlantic hurricane before making landfall at Balshwar on May 25 at its peak strength. The cyclone generated destructive storm surges, resulting in widespread flooding and displacing tens of thousands of individuals from their homes. During such weather emergencies, Synthetic Aperture Radar (SAR) data proves invaluable. Unlike other sensors, SAR can penetrate cloud cover, providing a clear view of ground conditions. Once captured, SAR data requires processing and analysis to extract meaningful insights. Utilized ENVI® SARscape® software for the flood analysis following Cyclone Yaas. ENVI SARscape is a premier SAR processing and analysis tool globally recognized for its ability to derive actionable information from SAR data. For this analysis, Sentinel-1 data captured before and after the cyclone (on May 17 and May 29, respectively) was employed. The process involved creating a SAR composite image, followed by the extraction of flooded areas and conducting change detection analysis. In addition to SAR analysis, this tutorial also discusses the methodology of flood analysis using multispectral data in ArcGIS Pro. The combination of SAR and multispectral data analysis provides a comprehensive understanding of the impact of Cyclone Yaas, aiding in effective disaster response and recovery efforts. #Cyclone #Flood #Yash cyclone #ENVI Sarscape #ArcGIS Pro #SAR #Multispectral #ESRI

"Integrating Rainfall Runoff Inundation Model (RRI) with Adaptive Mesh Refinement (AMR) and Google Earth Engine (GEE) for Flood Modeling"

Optimizing computational efficiency in flood modelling by refining mesh and introducing break lines in the main channel.#flooding #hydrology #Gis #floodrisk #watershed #watermanagement #floods #emergencymanagement #remotesensing #hecras

The provided flood hazard map of the Chaliyar River Basin offers a comprehensive assessment of flood risk in the region. By integrating various geographical and hydrological factors, the map identifies areas with high and very high flood hazard zones. This information is crucial for understanding the potential impacts of flooding and developing effective flood mitigation strategies. By overlaying the map with population density or land use data, vulnerable settlements can be identified and prioritized for flood preparedness measures. Overall, the map serves as a valuable tool for flood risk management and ensuring the safety and well-being of communities within the Chaliyar River Basin. #esri #Arcgis #geoinformatics #gis #GIS #Map #climate #elevation #soil #river #elevation #slope #LULC #TWI #GeoSpatial #usgs #NDVI #ArcGIS #topography #FloodMap #HazardMap

 Utilizing Sentinel-1 Data for Flood Mapping in Sindh, Pakistan 🌊 Using Sentinel-1 satellite data in Google Earth Engine to map flooding in Sindh, Pakistan.  #FloodMapping #RemoteSensing #GIS #DisasterResponse #NaturalDisasters #EnvironmentalMonitoring #FloodRisk #SatelliteData #DataAnalysis #ClimateChange #EmergencyResponse #GeospatialTechnology #DisasterManagement #FloodAlert #ResilienceBuilding

Flooding is a challenge we face more frequently, but tools like ArcGIS Pro’s Flood Simulator can help us better understand risks and test potential solutions quickly. In our latest blog, we explore: 📍 How ArcGIS Pro’s Flood Simulator works. 📊 The role of infiltration rasters in capturing surface-specific absorption rates. 🌧️An example using a simple workflow to test different flood mitigation strategies. Check out the blog here: https://lnkd.in/g9GD4dR4 #ArcGIS #ArcHydro #Flooding #FloodSimulator

Over the last decade alone, floods have caused billions of dollars in property damage. When heavy rainfall or storm surges are predicted for a community, rich geospatial data (for example, flood depth, ground elevation, and public assets) and spatial analysis are used to analyze the impact of flooding and produce a series of flood impact maps. #Flood impact maps communicate the extent of flooding events and provide valuable information about the affected areas and the potential risks and hazards to government officials and the public. #ArcGIS provides tools and workflows to analyze and visualize the impact of flooding events. #Arc Scene is a tool in #Gis that helps us visualize the impact of flooding.