GIS-Based Disaster Management Solutions

𝐅𝐥𝐨𝐨𝐝 𝐇𝐚𝐳𝐚𝐫𝐝 𝐌𝐚𝐩𝐩𝐢𝐧𝐠: 𝐀 𝐂𝐨𝐦𝐩𝐥𝐞𝐭𝐞 𝐒𝐭𝐚𝐫𝐭𝐞𝐫 𝐆𝐮𝐢𝐝𝐞 (𝐅𝐫𝐞𝐞 𝐃𝐚𝐭𝐚 + 𝐖𝐨𝐫𝐤𝐟𝐥𝐨𝐰) Floods are becoming more frequent and intense and GIS experts are playing a key role in predicting, mapping, and reducing risk. 𝘏𝘦𝘳𝘦’𝘴 𝘢 𝘴𝘪𝘮𝘱𝘭𝘦 𝘣𝘶𝘵 𝘱𝘰𝘸𝘦𝘳𝘧𝘶𝘭 𝘣𝘳𝘦𝘢𝘬𝘥𝘰𝘸𝘯 𝘵𝘰 𝘩𝘦𝘭𝘱 𝘢𝘯𝘺𝘰𝘯𝘦 𝘣𝘶𝘪𝘭𝘥 𝘢 𝘱𝘳𝘰𝘧𝘦𝘴𝘴𝘪𝘰𝘯𝘢𝘭 𝘧𝘭𝘰𝘰𝘥 𝘩𝘢𝘻𝘢𝘳𝘥 𝘮𝘢𝘱: 🔹 1. 𝐃𝐚𝐭𝐚 𝐘𝐨𝐮 𝐍𝐞𝐞𝐝 (𝐀𝐥𝐥 𝐅𝐫𝐞𝐞) > Sentinel-1 SAR – detects water even under clouds > DEM (USGS / Copernicus) – elevation & flow paths > River networks (OSM) – drainage patterns > Rainfall data (NASA GPM, CHIRPS) – precipitation intensity > Land cover (ESA CCI, MODIS) – surface runoff behavior 🔹 2. 𝐊𝐞𝐲 𝐒𝐭𝐞𝐩𝐬 𝐢𝐧 𝐅𝐥𝐨𝐨𝐝 𝐇𝐚𝐳𝐚𝐫𝐝 𝐌𝐚𝐩𝐩𝐢𝐧𝐠 I. 𝐏𝐫𝐞𝐩𝐫𝐨𝐜𝐞𝐬𝐬 𝐒𝐀𝐑 𝐝𝐚𝐭𝐚 > Apply orbit file > Speckle filtering > Terrain correction II. 𝐄𝐱𝐭𝐫𝐚𝐜𝐭 𝐟𝐥𝐨𝐨𝐝𝐰𝐚𝐭𝐞𝐫 𝐞𝐱𝐭𝐞𝐧𝐭 > Thresholding on VV/VH ratio > Change detection (before/after flood) III. 𝐇𝐲𝐝𝐫𝐨𝐥𝐨𝐠𝐢𝐜𝐚𝐥 𝐦𝐨𝐝𝐞𝐥𝐢𝐧𝐠 > Flow direction > Flow accumulation > Stream network extraction IV. 𝐂𝐨𝐦𝐛𝐢𝐧𝐞 𝐝𝐚𝐭𝐚𝐬𝐞𝐭𝐬 > Flood extent > Slope (from DEM) > Land cover > Rainfall intensity V. 𝐂𝐫𝐞𝐚𝐭𝐞 𝐅𝐥𝐨𝐨𝐝 𝐇𝐚𝐳𝐚𝐫𝐝 𝐙𝐨𝐧𝐞𝐬 > Low / Medium / High risk categories > Validate using ground reports, news, or field data 🔹 3. 𝐒𝐤𝐢𝐥𝐥𝐬 𝐘𝐨𝐮 𝐀𝐩𝐩𝐥𝐲 > SAR analysis > Hydrological modeling > Raster reclassification > Change detection > Multi-criteria analysis (MCA) > Map design & visualization 🔹 4. 𝐓𝐨𝐨𝐥𝐬 𝐭𝐨 𝐔𝐬𝐞 > QGIS, Google Earth Engine, SNAP, ArcGIS Pro, SAGA, GRASS GIS 🔹 5. 𝐑𝐞𝐚𝐥-𝐖𝐨𝐫𝐥𝐝 𝐀𝐩𝐩𝐥𝐢𝐜𝐚𝐭𝐢𝐨𝐧𝐬 > Disaster response & planning > Emergency evacuation routes > Infrastructure resilience > River basin management > Insurance & risk assessment 💡 𝑷𝒓𝒐 𝑻𝒊𝒑 Combine Sentinel-1 SAR + DEM-based flow modeling for highly accurate flood detection, even during cloudy conditions. 📌 𝑺𝒂𝒗𝒆 𝑻𝒉𝒊𝒔 𝑷𝒐𝒔𝒕 It’s a perfect reference for students, researchers, and GIS professionals working on real-world flood studies. #GIS #RemoteSensing #FloodMapping #DisasterManagement #GeospatialAnalysis #ClimateResilience #GEE #SAR #QGIS

Floods in Pakistan 2025: Okara Under Water Okara, my home district, is facing devastating floods this season, with the Sutlej overflowing on the east and the Ravi on the west. Utilizing my remote sensing and geospatial analysis skills, I employed the UN-SPIDER (United Nations Platform for Space-based Information for Disaster Management and Emergency Response) flood mapping approach, which utilizes Synthetic Aperture Radar (SAR) data from Sentinel-1 satellites. Unlike optical sensors, SAR can penetrate clouds and detect flood conditions even during monsoon weather. From the most recent Sentinel-1 pass, the analysis shows that over 100,000 acres in Okara are affected by flooding, with a significant portion covering cropland. This not only represents immediate hardship for communities but also poses a major challenge for food production and recovery in the coming months. The imagery of the Sulemanki area illustrates how wide the flood swath has become, highlighting the scale of the disaster and the urgency of relief and preparedness. To support decision-makers, I have also developed an Interactive Flood Mapping Application. It allows users to select any Province, Division, or District, define analysis periods, and instantly estimate flooded area, affected cropland, and exposed population. Disclaimer: These figures are estimates derived from satellite data. They provide rapid situational awareness but should always be compared with ground reports and official records for operational decisions. #Pakistan #Floods #GIS

Search and Rescue Tool Played Vital Role in Recent Emergency Flood Response, S&T Says - (2 Clips) - 1. The Search and Rescue Common Operating Platform, or SARCOP, has been a vital tool for federal, state and local emergency response teams during devastating flood events in Texas, North Carolina, New Mexico, and Vermont. SARCOP is a single, shared platform that helps officials map damage, mark where teams have already been deployed, and plan where they’ll go next. - S&T partnered with the National Alliance for Public Safety GIS to develop this tool based on direct input from urban search and rescue teams. SARCOP is available for free to first responder agencies in the U.S. and has been deployed in 55 active emergencies in 2025. - https://lnkd.in/exD-4-dJ 2. Feature Article: SARCOP: One Team. One Mission. One Map. - Hurricanes, tropical storms, coastal and inland flooding, wildfires, tornadoes, and other natural disasters are causing widespread devastation throughout the country. - Enter SARCOP, an intuitive, secure, mobile, multiagency platform that aggregates massive amounts of information from disaster areas and enables the sharing of that intelligence before, during, and after the disaster. Using advanced geospatial analytics, SARCOP profoundly increases situational awareness, introducing exceptionally impactful efficiencies into the mission of rescuing people and saving lives. - In responding to catastrophic incidents, some of the first resources to arrive from outside the impacted area are US&R teams. - US&R teams are comprised of specialized local responders, mobilized from their communities, and deployed as task forces. - Historically, due to the multijurisdictional nature of these response teams, they lacked a common platform for tracking and managing disaster response. - having a unified mission toolset allows all US&R resources to effortlessly share information across the incident, minimizing communication delays and ensuring operational continuity.” - Today, SARCOP is a state-of-the-art, scalable, nationally available tool that aggregates access to mobile apps to dramatically increase the effectiveness and efficiency of search and rescue field operations. This includes increased resource management and an intuitive common geospatial platform that is shared among all US&R teams. - Through NAPSG Foundation, SARCOP also provides remote geospatial support to US&R teams that are deployed. SARCOP transforms how search and rescue is conducted by expanding how teams can contribute to disaster response. This includes, but is not limited to, providing initial damage observations, which are crucial to providing the appropriate recovery resources to communities.  - https://lnkd.in/eF8kbb4k

🌐 How do you plan for the unthinkable? Hawai‘i’s award-winning Geospatial Decision Support System (GDSS) is transforming how we approach disaster preparedness. Using GIS mapping, the tool identifies the relationships between energy infrastructure and the lifelines that keep our communities functioning. 💡 Here’s why it’s a game-changer: -It calculates the risk of disruptions to critical infrastructure like substations, pipelines, and power plants. -It visualizes cascading impacts, helping us understand which systems are most vulnerable to flooding, high winds, or other disasters. -It prioritizes actions to protect the most vital links in our infrastructure chain. For Hawai‘i, this means smarter strategies to strengthen our grid and protect our communities. For the rest of the world, this is a lesson in using data to drive resilience. Mahalo to the team at the Hawaii State Energy Office for their hard work in making this tool available. What other regions could benefit from such a proactive approach? Let’s discuss in the comments! 👇 #GIS #Microgrids #EnergyInnovation #ResilientCommunities #AJPerkins #MicrogridMentor

Automating an #OpenSource approach to Flood Analysis - adapted guide from Hans van der Kwast 🏞️ Southwell has a long history of flooding, with major events causing significant damage to homes, businesses, and infrastructure. One of the most severe occurred in June 2007, when heavy rainfall led to the River Greet overspilling, inundating large areas of the village. Since then, Southwell has remained vulnerable, with ongoing efforts to improve flood resilience, evacuation planning, and mitigation strategies. A few years ago, during my time at Nottingham Trent University I was part of the Southwell Flood Forum, working alongside Chloe Bottomley, council members and residents to understand clear evacuation routes and identify roads at high risk of flooding, and ways to improve safety and ensure coordination. These discussions were essential in developing local strategies to enhance safety and preparedness for future flood events. Southwell Live River Information : https://lnkd.in/ejKRRQbc Southwell Flood Forum : https://lnkd.in/eamjTKNw The maps below are an adaptation of the flooding analysis course developed by Hans van der Kwast. Using #QGIS model builder, I have automated all the steps outlined in the guide, creating a streamlined workflow that can be applied to different regions, with just an AOI and Elevation data. Using QGIS, we can strategise for safety, supporting communities in mitigating flood risks and improving disaster resilience. Organisations like FPS Environmental Ltd and The National Flood Forum play a crucial role in raising awareness and helping homeowners make their properties more flood-resilient, and with GIS, we can provide data-driven insights to enhance flood prevention, optimise mitigation strategies, and support emergency response planning more effectively. QGIS applied for flood emergency enables key descision makers to visualise: ✅ Heavy rainfall accumulation & runoff patterns ✅ Areas most susceptible to flooding ✅ Potential damage to homes & infrastructure ✅ Blocked & alternative evacuation routes If you're interested in a copy of my automated flood analysis model, feel free to message me, it's a work in progress but a good starting point. 🌍 Amazing guide by Hans van der Kwast : https://lnkd.in/eAFstWzJ #GIS #FloodRisk #QGIS #DisasterResponse #Southwell #FloodAnalysis #GeospatialSolutions #ClimateResilience #MappingForGood

🌊 Flood Mapping Using Free Satellite Data & Open-Source Platforms 🛰️💻 In the age of climate uncertainty, flood mapping has become a crucial step in disaster response, planning, and resilience building. I recently explored how freely available satellite data and cloud-based tools can be used to map and monitor flood-prone regions with accuracy and zero cost. 🔍 Key Free & Open-Source Tools and Platforms: 📡 Sentinel-1 SAR (Radar) – Penetrates clouds, ideal for flood detection during monsoon 🛰️ Landsat 5/7/8/9 – Useful for NDWI/MNDWI-based flood analysis 🌐 Google Earth Engine (GEE) – Cloud-based geospatial analysis without downloading 📊 JRC Global Surface Water – Historical water occurrence for long-term flood assessment ☁️ MODIS – Near real-time large-area flood detection 🇮🇳 Bhuvan NRSC India – Government-provided flood maps for Indian regions 🗺️ UNOSAT & NASA GFMS – Humanitarian mapping and rainfall-based flood forecasts 🔗 Useful Data Portals: Google Earth Engine: https://lnkd.in/giiqpZBt Sentinel EO Browser: https://lnkd.in/gN6337UJ USGS EarthExplorer: https://lnkd.in/gbWWWkPj NRSC Bhuvan Flood Portal: https://lnkd.in/g4KC_NVe UNOSAT Flood Maps: https://unosat.org/ NASA GFMS: https://flood.umd.edu 💡 These free tools enable powerful flood mapping without expensive software or licenses — making them ideal for students, researchers, NGOs, and governments working on climate resilience. 💬 Interested in the full GEE script or a custom flood map for your area? Let’s connect! #FloodMapping #RemoteSensing #GIS #GoogleEarthEngine #Sentinel1 #DisasterManagement #OpenData #ClimateChange #QGIS #Geospatial #Bhuvan #SDGs #EnvironmentalMonitoring #PrinceGIS

📢 #Publication_Alert! 🌍 I'm pleased to announce the publication of our latest research, "Exploring a #GIS-based Analytic Hierarchy Process (#AHP) for Spatial #Flood_Risk_Assessment in #Egypt: A Case Study of the Damietta Branch," in the #Environmental_Sciences_Europe (Q1) Journal. In this study, we delineate and assess flood risk zones within the Nile districts of Egypt’s Damietta branch by integrating #remote_sensing with GIS and an analytical hierarchy process (#AHP). This approach enabled the development of detailed #flood #susceptibility and #vulnerability #maps using multiple layers of geographic and environmental data. Highlights of the study: 🔹 Flood Susceptibility Zonation (#FSZ): Created using 12 thematic layers, including #elevation, #slope, #NDVI, drainage density, lithology, and more. 🔹 #Flood #Vulnerability #Zonation: Developed using six key parameters, including total population, #LULC, #road_density, and proximity to hospitals. This research provides valuable insights for effective flood risk management, offering data-driven support for policymakers to mitigate flood impacts and promote sustainable land-use planning. 🌊 🔗 https://lnkd.in/e-8eWVyq #FloodRiskAssessment #GIS #RemoteSensing #EnvironmentalResearch #FloodManagement #ScientificResearch #SustainableDevelopment #RiskMitigation

Role of GIS in Flood Risk Assessment: A Case Study of Gilgit-Baltistan I want to share my recent academic work focusing on the application of Geographic Information Systems for flood risk assessment in Gilgit-Baltistan, Pakistan, a region highly vulnerable due to steep terrain, glacial meltwater, and intense seasonal rainfall. Study Parameters This study integrates multiple parameters, including: 1. Rainfall (CHIRPS) 2. Digital Elevation Model (DEM) 3. Slope 4. Soil characteristics 5. Land Use/Land Cover (LULC) 6. NDVI 7. Topographic Wetness Index (TWI) 8. Distance from river networks 9. Curvature Using GIS-based techniques and a weighted overlay approach, these thematic layers were processed and combined to generate a Flood Risk Index (FRI) map, categorizing the region into very low to very high flood-risk zones. Key Outcomes 1. Identification of high-risk zones along river valleys and low-lying areas 2. Enhanced understanding of spatial flood dynamics 3. Support for disaster preparedness, early warning systems, and sustainable land-use planning GIS-based flood risk assessment provides a powerful decision-support tool for policymakers, planners, and disaster management authorities, helping reduce potential damages from extreme hydrological events especially in climate-sensitive mountainous regions like Gilgit-Baltistan. 🎓 Prepared by: Nouman Saleem 🏫 Institute of Geo-Information & Earth Observation 📍 PMAS Arid Agriculture University, Rawalpindi I would love to hear your feedback, insights, or suggestions, especially from professionals working in GIS, remote sensing, disaster risk management, and climate resilience. #GIS #FloodRiskAssessment #DisasterManagement #RemoteSensing #GilgitBaltistan #ClimateChange #SpatialAnalysis #Geography #GIScience #Research #GeoInformatics

🌊 𝗡𝗲𝘄 𝗙𝗹𝗼𝗼𝗱 𝗦𝗶𝗺𝘂𝗹𝗮𝘁𝗶𝗼𝗻 𝗳𝗲𝗮𝘁𝘂𝗿𝗲𝘀 𝗶𝗻 𝗔𝗿𝗰𝗚𝗜𝗦 𝗣𝗿𝗼 𝟯.𝟱 🌍 Flood simulation in ArcGIS is crucial for risk assessment, disaster preparedness, and urban planning. It enables geospatial professionals to model flood scenarios based on real-world data, helping decision-makers understand potential impacts on infrastructure, communities, and ecosystems. With advanced tools in ArcGIS Pro 3.5, simulations can incorporate dynamic rainfall, terrain infiltration, terrain roughness and more to refine predictions and improve mitigation strategies. This enhances emergency response, reduces damage costs, and supports sustainable development. 🌎 And this tool just got great upgrades! With ArcGIS Pro 3.5, creating flood simulation scenarios is more intuitive, dynamic, faster and more precise. 🚀 My personal highlights: 🔹𝗦𝘂𝗿𝗳𝗮𝗰𝗲 𝗥𝗼𝘂𝗴𝗵𝗻𝗲𝘀𝘀 𝗥𝗮𝘀𝘁𝗲𝗿: Now it’s possible to define the roughness of the surface which influences water flow! 🔹𝗩𝗮𝗿𝗶𝗮𝗯𝗹𝗲 “𝗪𝗮𝘁𝗲𝗿 𝗦𝗽𝗲𝗲𝗱”: Water Speed now can be visualized in the Symbology pane! 🔹𝗜𝗻𝘀𝗲𝗿𝘁 “𝗦𝗶𝗻𝗸 𝗔𝗿𝗲𝗮𝘀”: Water Speed now can be visualized in the Symbology pane! 🔹𝗣𝗹𝗮𝘆𝗯𝗮𝗰𝗸 𝗥𝗮𝘁𝗲: Now you can define the playback rate in different fps. Flood simulation in ArcGIS is a powerful tool with diverse applications across industries. Here are some key use cases: 🌍 𝗗𝗶𝘀𝗮𝘀𝘁𝗲𝗿 𝗠𝗮𝗻𝗮𝗴𝗲𝗺𝗲𝗻𝘁 & 𝗘𝗺𝗲𝗿𝗴𝗲𝗻𝗰𝘆 𝗥𝗲𝘀𝗽𝗼𝗻𝘀𝗲 🔸 Predict flood-prone areas and develop evacuation plans for communities. 🔸 Optimize placement of rescue resources and improve response coordination. 🔸 ... 🏗️ 𝗨𝗿𝗯𝗮𝗻 𝗣𝗹𝗮𝗻𝗻𝗶𝗻𝗴 & 𝗜𝗻𝗳𝗿𝗮𝘀𝘁𝗿𝘂𝗰𝘁𝘂𝗿𝗲 𝗥𝗲𝘀𝗶𝗹𝗶𝗲𝗻𝗰𝗲 🔸 Design flood-resistant transport networks and drainage systems. 🔸 Identify vulnerable buildings and assets to strengthen resilience. 🔸 ... 🌿 𝗘𝗻𝘃𝗶𝗿𝗼𝗻𝗺𝗲𝗻𝘁𝗮𝗹 𝗜𝗺𝗽𝗮𝗰𝘁 & 𝗖𝗼𝗻𝘀𝗲𝗿𝘃𝗮𝘁𝗶𝗼𝗻 🔸 Assess the effects of flooding on wetlands, rivers, and ecosystems. 🔸 Model sediment and pollutant transport to ensure water quality protection. 🔸  ... 🛡️ 𝗜𝗻𝘀𝘂𝗿𝗮𝗻𝗰𝗲 & 𝗥𝗶𝘀𝗸 𝗔𝘀𝘀𝗲𝘀𝘀𝗺𝗲𝗻𝘁 🔸 Improve flood risk predictions for property insurance pricing. 🔸 Enhance data-driven decision-making for risk mitigation investments. 🔸 ... With ArcGIS Pro 3.5, flood simulation becomes even more precise and actionable, empowering industries to mitigate risks and make informed decisions. See the technical paper for more information ➡️ https://lnkd.in/d3u37-Ey 🌊💡 🤝♻️ Let's spark a conversation! How are you leveraging flood simulation tools in ArcGIS? Let’s connect and exchange ideas! Drop your insights below 👇 💡 🌟 #Esri #GIS #DigitalElevationModels #SpatialAnalysis #ArcGIS #remotesensing #flood #floodmodelling #rainfall #climatechange #FloodManagement #DisasterResponse #UrbanPlanning #Sustainability #EsriDeutschland #mapping #ArcGISPro #esrivoices🔍 🚀 🌱