#floodmapping — Public Fediverse posts

[Open] Data Related To Flood Mapping [Canada]
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https://natural-resources.canada.ca/science-data/science-research/natural-hazards/flood-mapping/data-related-flood-mapping <-- shared link to technical details
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https://app.geo.ca/en-ca/map-browser/record/a13a2575-5bda-4bfd-a9b1-5bd2dd583f09 <-- shared map/data-portal link, Canada Flood Map Inventory (CFM)
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https://open.canada.ca/data/en/dataset/1074f781-85d3-4c86-86cb-fd1c339197dc <-- shared data-portal link, Canada Flood Susceptibility Index
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https://doi.org/10.3390/ECWS-7-14235 <-- shared (2023) paper
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https://doi.org/10.1002/2017WR020917 <-- shared (2017) paper
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H/T @Michael DePue | VP & AtkinsRéalis Fellow for Water Resources Engineering | PE, PMP, CFM
“At the Canadian Water Resources Association National Conference in Winnipeg, colleagues shared insights from Canada's Flood Hazard Identification and Mapping Program. This initiative has seen over 400 flood mapping projects and more than 1,000 flood hazard maps produced, supported by a substantial investment of $164.2 million from 2024 to 2028.
Two key datasets:
• The Canada Flood Map Inventory, which records the locations of flood hazard maps and provides information on how to access them.
• The national Flood Susceptibility Index, a machine-learning assessment of flood-prone areas, including regions that have not been mapped in detail.
When these two layers are combined on a single screen, it becomes clear where future mapping efforts should be directed — specifically, areas with high susceptibility that currently lack detailed maps…”
#water #hydrography #flood #flooding #risk #hazard #model #modeling #fedscience #publicsafety #humaninpacts #opendata #Canada #GIS #spatial #mapping #damage #infrastructure #floodmapping #prediction #spatialanalysis #spatiotemporal #historic #current #future #preduction #extremeweather #metrology #rainfall #precipitation #atmosphericriver #FloodMapInventory #CFM #floodhazard #FloodSusceptibilityIndex #floodprone #research #susceptibility
@NRCAN

Advancing Detailed Flood Hazard Identification in Alberta, Canada - Insights from Two Recent Flood Studies
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https://doi.org/10.3390/w18131592 <-- shared paper
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“The increasing frequency of floods and the severity of their consequences for public safety, infrastructure, and the economy demand improved methods for flood hazard identification. Flood studies that include flood hazard mapping are critical tools for informing emergency response and flood recovery, as well as for land use and mitigation planning. The methodology for such flood studies has evolved, and access to more powerful computational resources and high-resolution base data has contributed to the increased use of two-dimensional hydraulic modelling, where one-dimensional modelling previously was the default. However, local-scale flood studies face real-world constraints, including sparse data, challenging hydrologic conditions, and budget limitations, which can hinder the application of advanced techniques. This study addresses these challenges through innovative, practice-driven solutions in two case studies in Alberta, Canada: a small, partly channelised prairie stream network (Wolf Creek, Lacombe) and a laterally dynamic river on a distributary delta (Swan River, Kinuso). Three core components of flood hazard studies are described: field survey data collection, regional hydrology assessment, and hydraulic modelling. Key findings include demonstrating that LiDAR-derived terrain models alone cannot capture channel conveyance, the importance of low-flow calibration in the absence of high-water marks, the selection of a modelling methodology based on bathymetric and topographic features within a study area, and the development of inflow hydrographs for unsteady-state simulation in flat floodplains…”
#FloodMapping #FloodRisk #Hydrology #HydraulicModeling #HECRAS #WaterResources #Alberta #Resilience #RiverSurvey #spatialanlaysis #spatiotemporal #floodhazardmapping #HECRAS #model #modeling #remotesensing #LiDAR #bathymetry #floodfrequencyanalysis #unsteadysimulation #FHIMP #FHIP #WoldCreek #Lacombe #SwanRiver #Kinuso #Alberta #Canada #localscale #provincialfloodstudy # prairie #stream #river #flood #flooding #water #hydrology #risk #hazard #watershed #publicsafety #cost #damage #economics #infrastructure #use #practicedriven #floodhazard #survey #hydraulic #terrainmodels #hydrogeomorphology #topography #elevation #floodplain
@Alberta Environment and Protected Areas | @Government of Alberta | @Barr Engineering

Urban Flood Observations [UFO] - A Hand-Labeled Training And Validation Dataset Of Post-Flood Inundation
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https://doi.org/10.48550/arXiv.2604.23066 <-- shared paper
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https://zenodo.org/records/19698577 <-- shared dataset
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H/T @Rohit Mukherjee
“UFO includes 215 high-resolution PlanetScope image chips and corresponding labels from 14 global flood events, with a focus on urban environments. The labels capture visible surface water in post-flood scenes.
Labeling floods from space is hard, especially in urban areas. Building shadows, narrow channels, wet soil, complex drainage features, and mixed pixels all make it difficult. [They] spent a lot of time refining the labels, and [they] think they can be useful for benchmarking flood-mapping methods and for training flood models (if you have PlanetScope access).
As an initial benchmark, [they have] trained a SegFormer model on the dataset and achieved a mean IoU of 77.3% under leave-one-event-out validation, where each flood event was held out entirely from training…”
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“Urban flooding affects lives and infrastructure worldwide. Mapping inundation in complex urban environments from satellite imagery remains challenging due to limited spatial resolution, infrequent acquisitions, and cloud cover. [They] present Urban Flood Observations (UFO), a global, hand-labeled dataset of post-flood inundation in diverse urban settings. UFO comprises 215 image chips (1024 by 1024 pixels) from 14 flood events between 2017 and 2021, derived from 3 metre PlanetScope imagery. Each chip is annotated with two classes: 'inundated' (all visible surface water, including floodwater and pre-existing water bodies (permanent or seasonal)) and 'non-inundated'. To demonstrate the dataset's utility, [they have] trained a segmentation model using leave-one-event-out cross-validation, achieving a mean Intersection over Union (IoU) of 77.3. [They] also used UFO to evaluate two widely used surface water products, the Sentinel-1-based NASA IMPACT model and Google's 10 m Dynamic World water class, which yielded IoUs of 44.1 and 48.1, respectively. UFO is publicly available to support the development and validation of urban inundation mapping methods…”
#UrbanFloodObservations #Urban #Flood #Observations #flooding #UFO #PlanetScope #remotesensing #GIS #spatial #mapping #opensource #opendata #floodmapping #model #modeling #floodmodels #infrastructure #water #hydrology #extremeweather #hydrography #humanimpacts #cost #economics #risk #hazard #segmentationmodel #elevation #topography #surfacewater #satellite #senteniel #IMPACT #testcases

The Growing Threat of Flooding on Transportation Infrastructure Across Texas Through 2100
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https://doi.org/10.1029/2026EF008207 <--shared paper
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H/T @Rakibul Ahasan
“[The researchers] modeled flood susceptibility across Texas at 30 m resolution and projected how it shifts through 2100. The headline is not just that flood risk grows, but that it moves, into places current planning and regulatory maps are not watching. The July 2025 Kerrville flooding sat squarely inside the kind of inland hazard expansion this model projects.
KEY TAKEAWAYS:
● 95% of new flood exposure by 2100 is inland, away from the coast, shifting the resilience problem into interior river basins that planning has historically deprioritized.
● Where [they] benchmarked against FEMA's National Flood Hazard Layer, the model flags substantial hidden risk in rapidly urbanizing peri-urban areas, most notably in Greater Houston.
● Climate change alone expands the flood-susceptible footprint by 10–12% by 2100, before any new road or land-use development, so this is a conservative floor, not a ceiling.
● Half the state's roads and rail and 80% of its bridges already sit in flood-susceptible zones today.
● [They] accounted for both factor-importance and spatial-scale uncertainty, using a Monte Carlo weight-perturbation ensemble and multiscale analysis across nested neighborhoods.
The practical takeaway: this is a statewide screening layer, not a replacement for site-level hydraulic studies. It shows planners and policymakers where the gap between today's protection and tomorrow's risk is widest, and where unmapped peri-urban growth is walking into exposure that regulatory maps still call safe…”
#water #hydrology #hydrography #extremeweather #flood #flooding #Texas #TX #USA #transportation #infrastructure #humanimpacts #risk #hazard #cost #economics #floodsusceptibility #GIS #spatial #mapping #raster #elevation #modeling #model #spatialanalysis #planning #regulation #warning #Kerrville #hazardmapping #floodexposure #inland #coast #urban #urbanisation #development #growth #Houston #lowlying #climatechange #landuse #development #geostatstics #MonteCarlo #regionalscreening #naturalhazard #infrastructureresilience #floodmapping #hydrogeomorphology #geomorphometry #aginginfrastructure

Study Highlights Growing Importance Of Multi-Day Storms In Future U.S. Flood Risk
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https://news.okstate.edu/articles/engineering-architecture-technology/2026/study-highlights-growing-importance-of-multi-day-storms-in-future-u.s.-flood-risk <-- shared technical article
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https://doi.org/10.1088/2752-5295/ae4f14 <-- shared paper
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“Extreme rainfall is projected to intensify as the climate warms, yet whether the greatest increases will occur in multi-day or single-day events remains uncertain. This knowledge gap is particularly pressing given recent catastrophic floods triggered by multi-day rainfall events, prompting the question of whether multi-day events could, in fact, intensify more than their daily counterparts, and by how much. This study addresses this question using an ensemble of 34 downscaled Earth System Models under two Shared Socioeconomic Pathways (SSP2-4.5 and SSP5-8.5), focusing on changes in extreme rainfall by the end of the century across ten regions of the contiguous United States. [Their] statistical framework evaluates model agreement, ensemble-mean changes, and the significance of these changes for both daily and multi-day rainfall extremes. Results show that extreme rainfall amounts are expected to increase for most regions and durations. The degree of intensification, however, depends strongly on event rarity and regional climate characteristics. Notably, in the U.S. western Gulf Coast region, very rare multi-day events (e.g., 500 year return period) are projected to intensify more than their daily counterparts, a phenomenon that could be explained by increased stalling of tropical cyclones, which can prolong heavy rainfall over multiple days. These results challenge the assumption that daily extremes dominate future risk and highlight the need to consider event duration when updating flood-hazard maps, design standards, and adaptation planning…”
#Flooding #FloodRisk #FloodInsurance #FloodAwareness #Explore #FloodPreparedness #FlashFlooding #ClimateResilience #climatechange #extremeweather #DisasterPreparedness #StormwaterManagement #FloodSafety #CommunityResilience #risk #hazard #model #modeling #floodrisk #multiday #rainfall #precipitation #storm #water #hydrology #hydrography #planning #policy #regulations #climatemodel #CONUS #USA #publicsafety #cost #economics #damage #loss #infrastructure #spatiotemporal #spatialanalysis #earthsystemmodels #forecasting #meteorology #designstandards #floodmapping #mitigation #flood

Integrated Data-Driven Multi-Criteria Analysis and Machine Learning Approaches for Assessment of Flood Susceptibility Mapping
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https://doi.org/10.3390/w18070844 <-- shared paper
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https://youtu.be/N7nyU1cMg5k?si=8WuXIaz4-JKPdCE0 <-- shared video, Mohmand Dam flooding
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#FloodSusceptibility #FloodMapping #MachineLearning #GIS #RemoteSensing #Hydrology #Water #EnvironmentalResearch #AHP #FAHP #climatechange #extremeweather #GoogleEarthEngine #GIS #spatial #mapping #AI #model #modeling #MohmandDam #SwatRiver #Pakistan #machinelearning #AI #criteria #parameters #indices #rainfall #precipitation #LULC #soiltexture #planning #policy #water #hydrology #hydrography #riskmanagement #risk #hazard #flood #flooding #mitigation #watershed #watermanagement #resilence

Advancing Flood Detection And Mapping - A Review Of Earth Observation Services, 3D Data Integration, And AI-Based Techniques
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https://doi.org/10.3390/rs17172943 <-- shared paper
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https://youtu.be/qIaw0IgtkfM?si=PzNCFQ6dqmvlpQ-D <-- shared @nasa #ARSET #tutorial / overview video (1 of 2)
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https://youtu.be/oMPSToY2xDs?si=WjypQknw3_N-A8qJ <-- shared @nasa #ARSET #tutorial / overview video (2 of 2)
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#review #EarthObservation #FloodMapping #RemoteSensing #AI #Geospatial #DisasterRisk #ClimateChange #flood #flooding #satellite #model #modeling #depth #volume #risk #hazard #evaluation #GIS #spatial #mapping #detection #3D #terrain #elevation #landscape #hydrogeomorphology #integration #satellite #emergency #response #planning #management #extremeweather #DisasterRisk #ClimateChange #GIS #spatial #mapping
@space It Up

Mapping Current And Future Flood Exposure Using A 5 Metre Flood Model And Climate Change Projections [Vancouver, Canada]
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https://nhess.copernicus.org/articles/24/699/2024/ <-- shared technical article
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https://www.theguardian.com/environment/2021/nov/17/pacific-north-west-flooding-british-columbia-washington-state-canada <-- shared 2021 technical media article, PNW flooding
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[this post should not be considered an endorsement of a specific vendor, etc]
#water #hydrology #flood #flooding #risk #hazard #Vancouver #BritishColumbia #Canada #climatechange #extremeweather #localfloods #GIS #spatial #mapping #riskassessment #spatialanalysis #floodexposure #riskmapping #model #modeling #floodriskmanagement #riskmanagement #naturaldisaster #rainfall #precipitation #stormsurge #hazardmapping #floodmapping #floodrisk #infrastructure #cost #economics #fluvial #pluvial #geomorphology #elevation #geomorphometry #regulatory #regulations #spatiotemporal

I pointed this out a few days ago about Camp Mystic.

(The graphics here are essentially the same as the final assignment I gave the GIS class I taught at a local University last semester, except I had them do parts of Asheville, NC after Helene).

#gis #fema #floodmapping #txdisaster #disasters

FEMA flood maps for Kerr County, TX showing the hazards for Camp Mystic (Hunt, TX). 😬

#TXwx #FEMA #floodmapping #GIS #disasters

We're mapping areas affected by the flood in the southern region of Thailand. Click here to view the area on OpenStreetMap

#OpenStreetMap #disastermapping #disasterresponse #floodmapping #thailand #น้ำท่วมใต้67

Inflation Reduction Act Accelerates USGS Effort To Collect High-Resolution Data Of Landscapes Across 25 States [3DEP LiDAR and other elevation open datasets]
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https://www.usgs.gov/news/national-news-release/inflation-reduction-act-accelerates-usgs-effort-collect-high-resolution <-- USGS news release
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#GIS #spatial #mapping #NGTOC #3DEP #elevation #lidar #ifsar #opendata #ira #infrastructure #USGS #CONUS #Alaska #topography #pointcloud #dem #costbenefit #roi #benefits #naturalresources #3delevationprogram #funding #seamless #1metre #topobathy #CoNED #tbdem #hydrospatial #bathymetry #landscapes #landcover #hydrology #riverbeds #precisionagriculture #floodmapping #flooding #ecosystems #partnerships

Climate Change And Crumbling Infrastructure Create A ‘Perfect Storm’ For Americans Living In Flood Zone
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https://thehill.com/opinion/energy-environment/3978721-climate-change-and-crumbling-infrastructure-create-a-perfect-storm-for-americans-living-in-flood-zones/ <-- shared article
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https://doi.org/10.1038/s41893-019-0437-5 <-- shared paper
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#GIS #spatial #mapping # #infrastructure #realestate #sustainability #climatechange #people #development #future #property #tax #maintenance #engineers #concrete #work #model #modeling #flood #flooding #naturalhazard #naturalhazards #naturaldisaster #river #rivercontrol #floodmapping #floodzones #weather #mitigation #floodcontrol #planning #risk #hazard #levees #levee #dam #riverside #oceanside #community #coastalcommunities #coastalengineering #coastalresilience #natural #engineered #floodplains

Global News BC: Flood preparation investments made into B.C. communities by province, Canada https://globalnews.ca/news/9641770/flood-preparation-investments-made-into-b-c-communities-by-province-canada/ #globalnews #britishcolumbia #news #MinistryofEmergencyManagementandClimateReadiness #Governmentfloodinginvestment #BCfloodinginvestment #MinistryofForests #BCgovernment #floodmapping #Environment #BCFlooding #Politics #Science #Weather #BCFlood #Canada #Tech

Comparative Analysis Of Performance And Mechanisms Of Flood Inundation Map Generation Using Height Above Nearest Drainage
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https://doi.org/10.1016/j.envsoft.2022.105565 <-- shared paper
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#GIS #spatial #mapping #model #modeling #flood #water #hydrology #floodinundation #floodinundationmapping #heightabovenearestdrainage #modelcomparison #modelconfiguration #performanceanalysis #FIM #HAND #NWC #NWM #hydrofabric #USA #nationwide #floodmapping #NWCH #NHD #NHDPlusHR #NHDPlus #inundation #weather #precipitation #catchment #ratingcurves #prediction #climate #NOAA @nws #USGS

Assessing and Mitigating Ice-Jam #Flood Hazards and Risks: A European Perspective

https://www.mdpi.com/2073-4441/15/1/76

It would certainly be interesting to organize a similar workshop in #Canada, with a lot of work on-going in #icejam #modeling, both from a #floodhazard and #floodrisk perspective

#hydrology #hydraulic #floodmapping #winter #ice #river #risk #FHIMP #NRCan #ECCC

Fantastic article about applications of flood mapping. I’m so excited about this! The potential is huge. Can’t find the original post this came from, please let me know if it was yours (lost in scrolling about 5 minutes ago). https://www.geospatialworld.net/prime/interviews/satellite-images-mitigate-flood-impacts/
#ClimateResilience #CommunityPlanning #CommunityRelocation #flood #FloodMapping #reolcation #SatelliteImagery

I am working on using natural language processing to detect urban flash flood events in local newspaper reports and map impacts at street/building level. I'd be really interested to hear from anyone who might have uses for this data in their work. For more details see:
https://www.climatenode.org/maps/about_UFF_maps.html

#NLP #floodmapping

The new Historical #Flood Events data layer (HFE) is now LIVE in #Canada! And updated continuously using media records.

"With over 1400 flood events documented in over 7000 locations, the #NRCan Historical Flood Events data layer provides an accessible way to view the who, what, when, and where of historical flood events in Canada."

#floodriskmanagement #floodmapping #climatechange #resilience

https://www.nrcan.gc.ca/science-and-data/science-and-research/topographic-information/whats-new/are-you-interested-historic-flood-events-nrcan-team-publishes-historical-flood-events/24695

#introduction
Good morning everyone!

Engineer specialized in #hydrology and #hydraulics, #flood mapping and #geospatial data

🌍✈️ Formerly at #Cowater, worked across the globe for about 10 years on #waterinfrastructure, #water resources management and #environment in a developing context

💧🛰️ Now working closer to home, focused on #floodriskmanagement and #floodmapping in #Canada with #NRCan #gischat #eochat

When not working: #photography, #F1 and spending time with the little family!