Haag, a Salas O'Brien Company’s Post

🔈 Call for Abstracts: #EGU2025! It's time to submit your abstract to our proposed session at the 2025 European Geosciences Union (EGU) General Assembly, scheduled for 27 April–2 May, with both on-site participation in #Vienna, Austria, and virtual attendance options available. Session HS4.1 Short-range forecasting and monitoring of heavy rainfall-induced hazards and risks: surface water floods, flash-floods, and geomorphic hazards Convener: Shinju Park | Co-conveners: Clàudia Abancó, Olivier PAYRASTRE, Daniela Peredo Ramirez This session will highlight the latest advancements in monitoring, modeling, and short-range forecasting of rainfall-induced surface water floods, flash floods, and associated geomorphic hazards, including their impacts. 📅 There is time until Wednesday, 15 January 2025, 13:00 CET, to submit your abstract. Guidelines for submission of your abstract: 👇 https://lnkd.in/dKxheBcR Don’t miss the chance to share your research and insights with the geoscience community. Looking forward to your contributions!

Join us in Nevada this September at the Floodplain Management Association Annual Conference! This year's theme, “Flood Risk - Know Your Odds,” is perfectly aligned with the location and the challenges we face in floodplain management. 🎲   On Wednesday, September 4th, make sure to catch us here:   💧 “P-AI-MM – Navigating the Deluge: Envisioning the Future of Floodplain Management in the Era of AI and Big Data.” This panel will feature David Curtis, PhD, who will lead a thought-provoking discussion on the applications and ethical considerations of AI in addressing floodplain management challenges. 💧 “Depth Result Comparisons in HEC-RAS 2D – Case Study in Petaluma, CA.” Presented by David Smith, PE, CFM, BC.WRE, this session will delve into the complex data and innovative methodologies involved in a significant California study. He will also chair the Technical Session, “Nevada Flood Mitigation,” at 2:30 PM. 💧 Be sure to stop by our booth (#204) to meet our President, Martin Teal, PE, PH, BC.WRE, and the rest of the onsite team!   What are the odds that you’ll join us? We’re hoping for a lucky turnout! For more details and to register for the conference, click here 👉 https://lnkd.in/dn9mU2C   #floods #civilengineering #hydrology

Portal and data overload! Why is this country like this? After multiple conversations around flood data, I'm interested to know where Australia hazard datasets are archived. There are no less than a dozen different state and federal portals which pose different data sets, different modelling and different overlay functions. When I look at data.gov.au, there is only a small portion of hazard datasets that exist in this realm but if I visit geoscience.gov.au there is a completely different but no less complex picture. So, I want to use geosciences data for a community project, how accurate is the data set and what are the arrangements generally for councils and states to submit data. Or should I just go back to using European flood data. https://lnkd.in/gPWtGkrw

Highly recommended talk!! #snow #alps #hydrology thanks Francesco Avanzi for having led this important study!!

🌧️ Transforming Climate Data into Insights! 🌧️ 🚀 Downloaded and processed annual rainfall data (2009-2021) from the CHARS data portal. 🛠️ Averaged the data using ArcGIS Raster Calculator 🔍 Interpolate rainfall patterns with the kriging method Unlocking the power of geospatial analysis for better water resource management and environmental planning. 🌍 #GeospatialAnalysis #Hydrology #ClimateData #ArcGIS #WRE

📣 #RemoteSensing Volume 16, Issue 14 is online! 📚 Welcome to read all 177 published articles! ➡️ https://brnw.ch/21wLzjp 📜Cover Article: "ARCHIMEDE—An Innovative Web-GIS Platform for the Study of Medicanes" 📎 https://brnw.ch/21wLzjq 📑 Cover story: Web-GIS applications represent useful tools for processing and analyzing geographic data from various sources. Here, we present ARCHIMEDE, a Web-GIS platform that collects various datasets about Mediterranean tropical-like cyclones and hurricanes. These datasets comprise climatic and oceanographic data obtained from remote sensing techniques as well as seismic and geomorphological data obtained from field observations. ARCHIMEDE provides a valuable support for the development of robust coastal management strategies aimed at mitigating the challenges posed by Mediterranean hurricanes.

Check out our latest paper on, 'Improved modeling of wave-driven coastal flooding on coral reef coastlines' in Ocean Modelling. https://lnkd.in/g8b6V7w6 We tested and validated a computationally-efficient coastal flooding model, #SFINCS against more demanding engineering models in Miami and Oahu (see results for Miami below). And then we applied it to the assessment of flood reduction benefits from coral reefs. The model provided strong results and was very fast. The computational cost savings are substantial and means that we (and others) can apply these approaches across large geographies where wave-driven processes are the main flooding drivers (stay tuned for some of next regional scale results for flood risk and reef and mangrove benefits). Much thanks to the leadership of Camila Gaido. This is her first, lead author, peer review publication. Her growth as a hydrodynamic modeler and coastal engineer is fun to engage and to support. This work was done collaboratively between University of California, Santa Cruz, U.S. Geological Survey (USGS), and DELTARES USA INC. Curt Storlazzi, Kees Nederhoff, Borja Gonzalez Reguero #riskmanagement, #naturebasedsolutions Validation of SFINCS flooding approach in Miami Beach, FL, US

Discover how to extract river networks and watershed boundaries in just 60 seconds using a powerful online platform! This video tutorial is perfect for hydrologists, environmental scientists, and GIS professionals looking to streamline their workflow. We'll demonstrate a quick and practical method to delineate watersheds and river systems, saving you valuable time and resources. Learn how to leverage cutting-edge technology to enhance your hydrological analysis and decision-making processes. Whether you're a seasoned professional or a student, this tutorial will equip you with the skills to efficiently extract crucial hydrological data. Don't miss this opportunity to revolutionize your approach to watershed analysis – watch now and elevate your expertise in just one minute! #hydrology #watershedanalysis #rivernetwork #gis #waterresources #hydrologist #environmentalscience #geospatial #catchmentarea #drainagebasin #remotesensing #watermanagement #streamnetwork #watersheddelineation #hydrologicmodeling #dem #topography #geomorphology #hydrography #onlineplatforms

📊 Excited to share my latest publication in the Paddy and Water Environment Journal via Springer! 📚 Titled "Application of topographic elevation data generated by remote sensing approaches to flood inundation analysis model", this paper delved into the innovative application of self-developed high resolution DTM in low-lying flood-prone regions worldwide. 🌏 🔍 By leveraging open source SAR and optical satellite imageries, our research aimed to revolutionize flood modeling studies, particularly in lowland and river delta areas. Not only did this approach offer cost-effective advantages by reducing labor-intensive efforts and eliminating the need for extensive fieldwork, but it also made streamlines workflow and reduced financial burden, making flood modeling more accessible, especially in developing countries with limited access to high-resolution DTMs. 🌊 📖 Interested in learning more about how remote sensing techniques can enhance flood management strategies worldwide? Check out the full paper here: https://lnkd.in/gr9TJGCc #FloodManagement #RemoteSensing #ResearchPublication #WaterEngineering #FloodModeling

This notebook provides a comprehensive guide to processing and utilizing the Alaska IfSAR dataset for streamline delineation tasks. The Alaska IfSAR dataset, developed by the U.S. Geological Survey (USGS), contains high-resolution geospatial data that includes various terrain, hydrological, and environmental features critical for analyzing water flow across Alaska’s diverse landscape. Using these data layers, we can automate the process of delineating streamlines — an essential task for applications in hydrology, flood modeling, and environmental monitoring https://lnkd.in/g6_35EYF