home.social

#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…”

  7. 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

  8. 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

  9. 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

  10. 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

  11. This week's #NewBooks at the library: Several new books bought at bargain prices:
    - The Nile Basin: Quaternary #Geology, #Geomorphology and Prehistoric Environments by Martin Williams, published by Cambridge University Press.
    - A Pipeline Runs Through It: The Story of #Oil from Ancient Times to the First World War by Keith Fisher, published by Allen Lane.
    - The Great Paradox of #Science: Why Its Conclusions Can Be Relied Upon Even Though They Cannot Be Proven by Mano Singham, published by Oxford University Press.

    #Books #Bookstodon #Scicomm #EarthSciences #FossilFuels #Energy #History #Philosophy @bookstodon

  12. Spatiotemporal Distribution, Climatic Factors, And Seasonal Precipitation Patterns Characterizing 66 Years Of Widespread Shallow Landslide Events In Piedmont (Northwestern Italy)
    --
    doi.org/10.3389/feart.2026.188 <-- shared paper
    --
    “Widespread shallow landslide events constitute one of the primary drivers of recurrent societal and economic losses in mountain regions. Although the influence of climate variability on landslide frequency and magnitude has been widely recognized, long-term, event-level analyses linking spatiotemporal landslide patterns to precipitation climatology at the regional scale remain scarce. This study presents a statistical analysis of 128 widespread shallow landslide events recorded in Piedmont, northwestern Italy, over the 66-year period 1960–2025, cross-referenced against the regional precipitation climatology. Events were characterized by season, primary physiographic unit, provincial coverage, and an ordinal magnitude index (scale 1–7) encoding combined spatial extent and estimated landslide count. Results indicate that no statistically significant monotonic trend in event frequency was detected over the study period (mean rate: 1.97 events yr⁻1); however, a moderate positive correlation was established between event magnitude and the number of provinces affected (R2 = 0.51, p < 0.00), validating the magnitude index as a proxy for spatial footprint. Mean event magnitude reached its highest value in the 2010s (3.71), while all five events of magnitude ≥ 6 occurred in autumn. The summer fraction of the catalogue increased markedly, from 6% in the 1960s to 31% in the 2000s and 25% in the 2020s, concurrent with stable or declining summer mean precipitation totals, consistent with Clausius–Clapeyron amplification of convective intensity under documented regional warming. Cross-analysis with regional records identifies three tiers of rainfall–landslide coupling: a stationary direct seasonal coupling; a non-stationary, strengthening intensity-mediated summer coupling; and a structural susceptibility-mediated spatial decoupling whereby the driest provinces generate the highest landslide occurrence frequencies due to the lower triggering thresholds characteristic of Tertiary Piedmont Basin sedimentary environments. A post-hoc assessment of the triggering thresholds used for regional shallow landslide early warning system demonstrates superior detection performance for high-magnitude autumn events (hit rate up to 89% for the 2000–2025 sub-period) and identifies sub-daily convective accumulation windows in summer as the primary domain requiring threshold recalibration…”
    #massmovement #landslide #engineeringgeology #Italy #Piedmont #NorthernItaly #weather #rainfall #precipitation #climate #risk #hazard #corrleation #relationship #earlywarningsystems #damage #loss #community #infrastructure #mountain #spatiotemporal #mapping #spatialanalysis #statistics #geostatistics #climatology #regional #scale #weatherpatterns #physiography #geomorphology #water #hydrology #hydrogeomorphology #geology #soils

  13. Widespread Landslide Activity in an Extreme Wet Season and Implications for Regional Sediment Management, Eastern San Francisco Bay Area, California
    --
    doi.org/10.1029/2026EA005227 <-- shared paper
    --
    H/T @amy East, Ph.D., P.G. | Researcher integrating geoscience and climate-change preparedness
    “[This paper (link above) is] a collaboration with [the H/T’s] colleagues from [the] USGS Landslide Hazards Program, who mapped over 8,900 landslides in the eastern San Francisco Bay Area during an extreme wet winter.
    How much sediment does such an extreme winter produce, from landslides or in stream discharge? How does that compare with long-term sediment production and landscape denudation rates?
    [They] f[o]nd that landslide sediment mobilization is comparable to long-term denudation rates, emphasizing the role of extreme events in long-term sediment production. However, one extreme wet year has a negligible effect toward counteracting ongoing problems of sediment deficit in San Francisco Bay: to keep pace with sea-level rise, extreme wet conditions would need to occur in 50 out of the next 75 years…”
    --
    "PLAIN LANGUAGE SUMMARY: Watersheds will likely produce more sediment in a warmer future with more extreme rain, primarily through landslides in steep terrain. This study examines how an extremely wet season affected sediment production and transport in the eastern San Francisco Bay area, California. By mapping and measuring 8,928 landslides, [they] found that rare, extreme rain conditions are likely responsible for the vast majority of long-term hillslope erosion rates in this region. However, due to long residence times for sediment on hillslopes and in stream channels, a maximum of 1%–2% of that newly mobilized landslide material could have potentially contributed to sediment carried by streams into the Bay that year. Even extremely wet years cannot provide enough sediment for Bay wetlands and shorelines to keep pace with rising sea levels. To meet the demand for sediment in the Bay, such extreme rain and sediment production would need to occur in most years, which is not realistic. To restore wetlands and protect shorelines, managers likely will need to supplement the coastal system with repurposed dredged material…”
    #massmovement #soil #water #hydrology #hydrography #geology #soils #geomorphometry #hydrogeomorphology #geomorphology #landslide #masswasting #climatechange #extremeweather #precipitation #rainfall #weather #climate #mapping #engineeringgeology #mapping #SanFrancisco #BayArea #USA #California #fedscience #fedservice #oublicgood #sediment #stream #discharge #extremewinter #sealevelrise #SLR #hillslope #erosion #sedimentation #tidal #wetlands #coast #coastline #shoreline #GIS #spatial #spatialanalysis #spatiotemporal #watershed
    #USGS | #USGSLandslideHazardsProgram

  14. 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)

  15. See The Mississippi River’s Hidden History, Uncovered By Lasers
    Using hyperprecise LiDAR data,. a cartographer [well, hydrographer!] maps the river’s bend and channels over time with mesmerizing results…
    --
    nationalgeographic.com/science <-- shared technical / media article
    --
    dancoecarto.com/ <-- shared @Daniel Coe portfolio and more
    --
    usace.contentdm.oclc.org/digit <-- shared Harold Fisk's 1944 USACE report, “The Alluvial Valley of the Lower Mississippi River”
    --
    #GIS #spatial #mapping #water #hydrography #hydrology #LiDAR #remotesensing #spatialanalysis #spatiotemporal #hydrogeomorphology #Mississippi #River #Fiske #cartography #visualisation #meandering #channels #landforms #floodplains #opendata #3DEP #topography #geomorphology #levees #dikes #oxbows #channel #paleohydrology
    #DanielCoe | @nationalgeographic | #USGS | #USACE

  16. How much does landform position matter for vegetation dynamics across Calgary?

    I explored how ΔNDVI (2025-2024) varies across geomorphon classes (summit, ridge, slope, hollow, valley, etc.) using a large spatial dataset (~194k observations).

    A few key points from the analysis:
    • Non-parametric Kruskal–Wallis test shows statistically significant differences between geomorphons
    • However, the effect size is moderate (ε² ≈ 0.04)
    • Distributions strongly overlap — landform position matters, but it is not a deterministic driver
    • Median ΔNDVI tends to be higher in lower landscape positions (hollows, footslopes, valleys), consistent with moisture and accumulation controls

    #EnvironmentalData #RemoteSensing #NDVI #LandscapeEcology #Geomorphology #DataAnalysis #RStats
    #ReproducibleResearch #Calgary #GreennessOfCalgary #Sentinel2

  17. Estimating Increased Transient Water Storage With Increases In Beaver Dam Activity
    --
    doi.org/10.3390/w16111515 <-- shared paper
    --
    “Dam building by beaver (Castor spp.) slows water movement through montane valleys, increasing transient water storage and the diversity of residence times. In some cases, water storage created by beaver dam construction is correlated to changes in streamflow magnitude and timing. However, the total amount of additional surface and groundwater storage that beaver dams may create (and, thus, their maximum potential impact on streamflow) has not been contextualized in the water balance of larger river basins..."
    #water #surfacewater #groundwater #infiltration #river #basin #hydrology #natural #beaver #wildlife #habitat #ecosystem #waterstorage #waterresources #waterbalance #streamflow #snowwaterequivalent #snowmelt #beaverdams #geomorphology #montane #landscape #landforms #basin #watershed #drainage #HAND #spatialanalysis #spatiotemporal #model #modeling #spatial #MODFLOW #reservoir