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#geomorphology — Public Fediverse posts

Live and recent posts from across the Fediverse tagged #geomorphology, aggregated by home.social.

  1. A Coastal Exposure Index For Ireland - Relative Hazard Exposure And The Protective Role Of Coastal Habitats
    --
    doi.org/10.1007/s11069-026-083 <-- shared paper
    --
    alturl.com/4e83i <-- shared webmap / data portal
    --
    independent.ie/irish-news/reve <-- shared media article
    --
    [“The index complements site-specific flood and erosion modelling.”]
    H/T @kevin Walsh | PhD Researcher at University College Cork
    “In this paper [1st link above], [the authors] seek to answer the question “what is the relative distribution of exposure to coastal hazards around the Irish coast, and where can coastal habitats potentially reduce exposure?”
    The method [they] chose to achieve this was the Coastal Vulnerability Model (CVM), within the InVEST software suite. This involves combining the key physical and climatic variables which can show us where along the coast might be most adversely affected by extreme winds, powerful waves and surges, and sea level rise.
    It also reveals the potential protection provided by coastal habitats, such as dunes and saltmarsh, as well as populations and sites of cultural heritage located within zones deemed “Very High Exposure”.
    [They] tested variations to the model, including seeing how the results change when certain variables are left out, what happens if we add in other variables, and how ranking choices impact exposure distribution. The results show that these choices, especially the ranking methods, can have large impacts on hazard distribution and the overall interpretation of the results. However, [they] found that the CVM quintile based approach was most suitable for Ireland, as it reveals high exposure sites on the east coast, which tends to be overlooked when different methods are applied.
    [The H/T] also prepared an interactive map, where you can view the results in detail [2nd link above]
    There’s a lot of work ongoing in this space around Ireland, [they] hope this will be a valuable contribution towards sustainable management of our coastline…”
    #spatialanalysis #exposure #coastal #hazards #mitigation #risk #Ireland #Irish #coast #CoastalVulnerabilityModel #CVM #InVEST #model #modeling #spatiotemporal #geostatistics #statistics #spatial #mapping #geomorphology #geology #climate #wind #wave #tidal #erosion #stormsurge #storms #ocean #sealevelrise #climatechange #extremeweather #dunes #saltmarshes #machair #seagrass #habitat #protection #vulnerability #parametersensitivity #exposure #sustainable #populationpressure #CoastalExposureIndex #culturalheritage #coastalzonemanagement #planning #policy #evidencebased #adaption #strategies

  2. A Coastal Exposure Index For Ireland - Relative Hazard Exposure And The Protective Role Of Coastal Habitats
    --
    doi.org/10.1007/s11069-026-083 <-- shared paper
    --
    alturl.com/4e83i <-- shared webmap / data portal
    --
    independent.ie/irish-news/reve <-- shared media article
    --
    [“The index complements site-specific flood and erosion modelling.”]
    H/T @kevin Walsh | PhD Researcher at University College Cork
    “In this paper [1st link above], [the authors] seek to answer the question “what is the relative distribution of exposure to coastal hazards around the Irish coast, and where can coastal habitats potentially reduce exposure?”
    The method [they] chose to achieve this was the Coastal Vulnerability Model (CVM), within the InVEST software suite. This involves combining the key physical and climatic variables which can show us where along the coast might be most adversely affected by extreme winds, powerful waves and surges, and sea level rise.
    It also reveals the potential protection provided by coastal habitats, such as dunes and saltmarsh, as well as populations and sites of cultural heritage located within zones deemed “Very High Exposure”.
    [They] tested variations to the model, including seeing how the results change when certain variables are left out, what happens if we add in other variables, and how ranking choices impact exposure distribution. The results show that these choices, especially the ranking methods, can have large impacts on hazard distribution and the overall interpretation of the results. However, [they] found that the CVM quintile based approach was most suitable for Ireland, as it reveals high exposure sites on the east coast, which tends to be overlooked when different methods are applied.
    [The H/T] also prepared an interactive map, where you can view the results in detail [2nd link above]
    There’s a lot of work ongoing in this space around Ireland, [they] hope this will be a valuable contribution towards sustainable management of our coastline…”
    #spatialanalysis #exposure #coastal #hazards #mitigation #risk #Ireland #Irish #coast #CoastalVulnerabilityModel #CVM #InVEST #model #modeling #spatiotemporal #geostatistics #statistics #spatial #mapping #geomorphology #geology #climate #wind #wave #tidal #erosion #stormsurge #storms #ocean #sealevelrise #climatechange #extremeweather #dunes #saltmarshes #machair #seagrass #habitat #protection #vulnerability #parametersensitivity #exposure #sustainable #populationpressure #CoastalExposureIndex #culturalheritage #coastalzonemanagement #planning #policy #evidencebased #adaption #strategies

  3. A Coastal Exposure Index For Ireland - Relative Hazard Exposure And The Protective Role Of Coastal Habitats
    --
    doi.org/10.1007/s11069-026-083 <-- shared paper
    --
    alturl.com/4e83i <-- shared webmap / data portal
    --
    independent.ie/irish-news/reve <-- shared media article
    --
    [“The index complements site-specific flood and erosion modelling.”]
    H/T @kevin Walsh | PhD Researcher at University College Cork
    “In this paper [1st link above], [the authors] seek to answer the question “what is the relative distribution of exposure to coastal hazards around the Irish coast, and where can coastal habitats potentially reduce exposure?”
    The method [they] chose to achieve this was the Coastal Vulnerability Model (CVM), within the InVEST software suite. This involves combining the key physical and climatic variables which can show us where along the coast might be most adversely affected by extreme winds, powerful waves and surges, and sea level rise.
    It also reveals the potential protection provided by coastal habitats, such as dunes and saltmarsh, as well as populations and sites of cultural heritage located within zones deemed “Very High Exposure”.
    [They] tested variations to the model, including seeing how the results change when certain variables are left out, what happens if we add in other variables, and how ranking choices impact exposure distribution. The results show that these choices, especially the ranking methods, can have large impacts on hazard distribution and the overall interpretation of the results. However, [they] found that the CVM quintile based approach was most suitable for Ireland, as it reveals high exposure sites on the east coast, which tends to be overlooked when different methods are applied.
    [The H/T] also prepared an interactive map, where you can view the results in detail [2nd link above]
    There’s a lot of work ongoing in this space around Ireland, [they] hope this will be a valuable contribution towards sustainable management of our coastline…”
    #spatialanalysis #exposure #coastal #hazards #mitigation #risk #Ireland #Irish #coast #CoastalVulnerabilityModel #CVM #InVEST #model #modeling #spatiotemporal #geostatistics #statistics #spatial #mapping #geomorphology #geology #climate #wind #wave #tidal #erosion #stormsurge #storms #ocean #sealevelrise #climatechange #extremeweather #dunes #saltmarshes #machair #seagrass #habitat #protection #vulnerability #parametersensitivity #exposure #sustainable #populationpressure #CoastalExposureIndex #culturalheritage #coastalzonemanagement #planning #policy #evidencebased #adaption #strategies

  4. A Coastal Exposure Index For Ireland - Relative Hazard Exposure And The Protective Role Of Coastal Habitats
    --
    doi.org/10.1007/s11069-026-083 <-- shared paper
    --
    alturl.com/4e83i <-- shared webmap / data portal
    --
    independent.ie/irish-news/reve <-- shared media article
    --
    [“The index complements site-specific flood and erosion modelling.”]
    H/T @kevin Walsh | PhD Researcher at University College Cork
    “In this paper [1st link above], [the authors] seek to answer the question “what is the relative distribution of exposure to coastal hazards around the Irish coast, and where can coastal habitats potentially reduce exposure?”
    The method [they] chose to achieve this was the Coastal Vulnerability Model (CVM), within the InVEST software suite. This involves combining the key physical and climatic variables which can show us where along the coast might be most adversely affected by extreme winds, powerful waves and surges, and sea level rise.
    It also reveals the potential protection provided by coastal habitats, such as dunes and saltmarsh, as well as populations and sites of cultural heritage located within zones deemed “Very High Exposure”.
    [They] tested variations to the model, including seeing how the results change when certain variables are left out, what happens if we add in other variables, and how ranking choices impact exposure distribution. The results show that these choices, especially the ranking methods, can have large impacts on hazard distribution and the overall interpretation of the results. However, [they] found that the CVM quintile based approach was most suitable for Ireland, as it reveals high exposure sites on the east coast, which tends to be overlooked when different methods are applied.
    [The H/T] also prepared an interactive map, where you can view the results in detail [2nd link above]
    There’s a lot of work ongoing in this space around Ireland, [they] hope this will be a valuable contribution towards sustainable management of our coastline…”

  5. A Coastal Exposure Index For Ireland - Relative Hazard Exposure And The Protective Role Of Coastal Habitats
    --
    doi.org/10.1007/s11069-026-083 <-- shared paper
    --
    alturl.com/4e83i <-- shared webmap / data portal
    --
    independent.ie/irish-news/reve <-- shared media article
    --
    [“The index complements site-specific flood and erosion modelling.”]
    H/T @kevin Walsh | PhD Researcher at University College Cork
    “In this paper [1st link above], [the authors] seek to answer the question “what is the relative distribution of exposure to coastal hazards around the Irish coast, and where can coastal habitats potentially reduce exposure?”
    The method [they] chose to achieve this was the Coastal Vulnerability Model (CVM), within the InVEST software suite. This involves combining the key physical and climatic variables which can show us where along the coast might be most adversely affected by extreme winds, powerful waves and surges, and sea level rise.
    It also reveals the potential protection provided by coastal habitats, such as dunes and saltmarsh, as well as populations and sites of cultural heritage located within zones deemed “Very High Exposure”.
    [They] tested variations to the model, including seeing how the results change when certain variables are left out, what happens if we add in other variables, and how ranking choices impact exposure distribution. The results show that these choices, especially the ranking methods, can have large impacts on hazard distribution and the overall interpretation of the results. However, [they] found that the CVM quintile based approach was most suitable for Ireland, as it reveals high exposure sites on the east coast, which tends to be overlooked when different methods are applied.
    [The H/T] also prepared an interactive map, where you can view the results in detail [2nd link above]
    There’s a lot of work ongoing in this space around Ireland, [they] hope this will be a valuable contribution towards sustainable management of our coastline…”
    #spatialanalysis #exposure #coastal #hazards #mitigation #risk #Ireland #Irish #coast #CoastalVulnerabilityModel #CVM #InVEST #model #modeling #spatiotemporal #geostatistics #statistics #spatial #mapping #geomorphology #geology #climate #wind #wave #tidal #erosion #stormsurge #storms #ocean #sealevelrise #climatechange #extremeweather #dunes #saltmarshes #machair #seagrass #habitat #protection #vulnerability #parametersensitivity #exposure #sustainable #populationpressure #CoastalExposureIndex #culturalheritage #coastalzonemanagement #planning #policy #evidencebased #adaption #strategies

  6. Detection And Mapping Of Daya Features In The Limestone Plateau Of Northwest Egypt
    --
    doi.org/10.1177/03091333261480 <-- shared paper
    --
    doi.org/10.1007/s41207-024-004 <-- shared paper
    --
    H/T @wael Galal | Geologist at Geology Department, Assiut University
    “[The author’s] study systematically investigates ‘DAYAS’ shallow, ephemeral wetlands scattered across the limestone plateau of Northwest Egypt. Previously undocumented in Egyptian territory, these saucer-shaped depressions play a vital role in regional hydrology and karst evolution.
    Through an integrated approach combining Sentinel-2 satellite imagery, multi-decadal Landsat time-series analysis (1984-2025), ALOS PALSAR DEMs, and extensive field validation, [they] identified and mapped 5,430 daya features covering 258.1 km² achieving 91% classification accuracy.
    [Their] research established a typological framework distinguishing bowl-shaped, small flat-bottom, and large flat-bottom dayas representing a continuum from active karst dissolution to relict, sediment-sealed systems. Critically, [they] documented a 32.63% net increase in daya surface area over 41 years, demonstrating that karst modification remains an active geomorphic process even under present-day hyper-arid conditions.
    This work provides government agencies and water resource planners with the first high-resolution spatial inventory of these features essential baseline data for sustainable groundwater management, water-harvesting infrastructure, and conservation prioritisation in this water-scarce region…”
    #Research #KarstGeomorphology #RemoteSensing #GIS #spatial #mapping #spatialanalysis #spatiotemporal #WaterResources #Egypt #Dayas #Sustainability #PhysicalGeography #water #hydrology #hydrography #wetland #daya #geology #limestone #karst #sentinel #Landsat #hydrogeomorphology #geomorphology #geomorphometry #arid #hyperarid #planning #policy #sustainable #groundwater #conservation

  7. How Space Weather Could Bust The AI Boom
    --
    spacenews.com/how-space-weathe <-- shared technical article
    --
    futurism.com/artificial-intell <-- shared technical article, “AI Data Centers Pushing Electric Grid Into Meltdown”
    --
    doi.org/10.1146/annurev-earth- <-- shared 2026 paper, “Magnetic Storms and Geoelectric Hazards”
    --
    #AI #datcenters #infrastructure #impacts #solarstorms #spaceweather #risk #hazards #overloading #electricity #energy #powersupply #energygrid #vulnerable #transmission #energy #demand #consumers #geoelectrical #geomagnetism #blackout #damage #cost #economics #equipment #transformers #carringtonevent #NERC #grid #reliability #electricaldemand #utilities #magneticstorm #electromagneticinduction #extremeevent #historicalevent #hazardanalysis #spaceweather #history #Carrington #geoelectric #humanimpacts #risk #hazard #monitoring #network #geology #geomagnetism #impedance #rock #soil #utilities #electricaltransmission #powerlines #magnetotelluric #sensor #blackout #brownout #energy #geoelectrichazard #geoelectric #GIS #spatial #mapping #spatialanalysis #spatiotemporal #model #modeling #geomagnetism #geomagneticstorm #telecommunication #electronics #hardened #geography #mitigation #preparedness #geomorphology #geomorphometry #surfacegeology #cost #economics #disaster #impacts #technology #InternetOfThings #internet #USA #review #CONUS #numericalmodeling #realtimemonitoring #AIBoom #Bust
    @North American Electric Reliability Corporation (NERC)

  8. The Western Texas, etc hydrography/physiography especially - as recorded in NHD-sourced data - is always fascinating...
    #hydrography #NHD #3DHP #geomorphology #USA #physiography #flowlines #opendata #bluelines #hydrology #USGS

  9. Managed retreat (Geomorphology 🏞️)

    Managed retreat involves the purposeful, coordinated movement of people and buildings away from risks. This may involve the movement of a person, infrastructure, or community. It can occur in response to a variety of hazards such as flood, wildfire, or drought. Politicians, insurers, and residents are increasingly paying attention to managed retreat f...

    en.wikipedia.org/wiki/Managed_

    #ManagedRetreat #Ecology #Geomorphology #CoastalEngineering

  10. Spatial Data – Right At Your Fingertips!
    --
    maps.app.goo.gl/yWhFvuwi4f1fRq <-- location in Google Maps, to the ESE of the Noatak National Park, Alaska
    --
    usgs.gov/3DHP <-- 3DHP home page
    --
    Sometimes when you are working, you realise what a truly long way we have come in terms of readily accessible spatial data…
    I am looking at remote sensed data in Alaska, both the imagery and the elevation-derived hydrology, on a pseudo-randomly-selected sand bar that maybe no one has ever stood on, just to the east of Noatak National Park – and yet I can get an excellent sense of the hydrology, sedimentology, geomorphology, even the ecology…
    #GIS #spatial #mapping #remotesensing #gischat #opendata #3dhp #edh #hydrology #water #imagery #usecase #Alaska #geomorphology #geomorphometry #sedimentology
    @USGS

  11. The Basics of LiDAR - Light Detection and Ranging - Remote Sensing [tree focused]
    --
    neonscience.org/resources/lear <-- shared tutorial
    --
    [this post should not be considered an endorsement of any organisation, but is shared for learning purposes]
    “LiDAR or Light Detection and Ranging is an active remote sensing system that can be used to measure vegetation height across wide areas.
    This [tutorial] page… introduce[s the] fundamental LiDAR (or lidar) concepts including:
    • What LiDAR data are.
    • The key attributes of LiDAR data.
    • How LiDAR data are used to measure trees...”
    #GIS #spatial #mapping #elevation #spatialdata #spatialanalysis #data #digital #DEM #digitalelevationmodel #spatialanalysis #LiDAR #remotesensing #model #modeling #IFSAR #onlinelearning #onlinelessons #tutorial #landform #geomorphology #landforms #guide #vegetation #forest #forestry #tree #trees

  12. Alluvial Fan Surfaces And An Age-Related Stability For Cultural Resource Preservation: Nevada Test And Training Range, Nellis Air Force Base, Nevada, USA
    --
    doi.org/10.1016/j.jasrep.2015. <-- 2015 shared paper
    --
    [during a presentation recently, I was reminded of this 2015 paper’s content today (on which I was a co-author), back when papers wanted B&W images; I wonder how we might have proceeded now, with AI / Machine Learning…]
    #GIS #spatial #mapping #Nevada #USA #military #NellisAFB #NAFB #NTTR #archaeology #spatialanalysis #spatiotemporal #corrleation #basinandrange #geomorphology #sediment #alluvialfans #sheetwash #eolian #erosion #deposition #bioturbation #varnish #desert #desertvarnish #age #dating #corrleation #airforce #indigeneous #sampling #cosmogenic #10Be #insitu #StonewallFlat #fans #water #hydrology #arid #imageanalysis #CulturalResource #Preservation

  13. The Side Eye - Deeper Roots [Cyclone Gabrielle, Tairāwhiti (Gisborne), New Zealand]
    --
    thespinoff.co.nz/society/28-07 <-- Spinoff Side Eye story
    --
    teweu.nz/towards-an-indigenous <-- towards an indigenous bio-economy in Tairāwhiti
    --
    “Months after Cyclone Gabrielle smashed Tairāwhiti [Gisborne, New Zealand], locals are still cleaning up the damage. The Side Eye travels to the erosion-prone region to meet the people asking hard questions about a plan for the future…”
    #GIS #spatial #mapping #massmovement #climatechange #CycloneGabrielle #Tairāwhiti #Gisborne) #NewZealand #extremeweather #geomorphology #fluvial #fluvialgeomorphology #Gabrielle #cyclone #flood #flooding #water #hydrology #ecosystem #monoculture #forestry #forestry #risk #hazard #mitigation #monitoring #erosion #landslides #slumps #slips #slash #forestrestoration #pine #planning #impacts #humanimpact #publicsafety #economy #economic #governmentplanning #indigenous #Maori #firstnations #bioeconomy

  14. The Fluvial Geomorphology Equivalent Of ‘Ontogeny Recapitulates Phylogeny’?
    --
    usgs.gov/3d-elevation-program <-- USGS’s 3DEP’s open data for elevation
    --
    This is a ‘quick and dirty’ visualisation that I made the other day with 3DEP iFSAR data to get a better sense of the fluvial geomorphology up in this area of NE Alaska near Kaktovik/Gordon, it is amazing what pops...
    Lay over some hydrology vectors, some of the underlying geology boundaries, etc - and the landforms become much easier to understand in terms of origin and development - the geomorphic/hydrologic/erosional/geologic/vegetative/etc equivalent of biology's “ontogeny recapitulates phylogeny”?
    #GIS #spatial #mapping #Alaska #USA #3DEP #opendata #elevation #iFSAR #remotesensing #radar #visualisation #fluvial #hydrology #geology #erosion #geomorphology #ontogeny #phylogeny #landforms #origin #development #vegetation #appliedscience #USGS #arctic #arcticocean #beaufortsea
    @USGS

  15. What Is A Digital Elevation Model (DEM)?- A Practical Guide
    --
    equatorstudios.com/what-is-a-d <-- shared tutorial
    --
    “A Digital Elevation Model (DEM) is a digital cartographic dataset that represents a continuous topographic elevation surface through a series of cells. Each cell represents the elevation (Z) of a feature at its location (X and Y). Digital Elevation Models are a “bare earth” representation because they only contain information about the elevation of geological (ground) features, such as valleys, mountains, and landslides, to name a few. They do not include any elevation data concerning non-ground features, such as vegetation or buildings...”
    [read more at the link above...]
    #GIS #spatial #mapping #elevation #spatialdata #spatialanalysis #data #digital #DEM #digitalelevationmodel #spatialanalysis #LiDAR #remotesensing #model #modeling #IFSAR #onlinelearning #onlinelessons #guide #tutorial #landform #bathymetry #geomorphology #geology #landforms