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#geostatistics — Public Fediverse posts

Live and recent posts from across the Fediverse tagged #geostatistics, 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. Permafrost Distribution, Degradation, And Potential Mass Movement Cascades In The Western Himalaya Using Machine Learning And Numerical Models
    --
    doi.org/10.1038/s44304-026-002 <-- shared paper
    --
    doi.org/10.1038/s41598-025-220 <-- shared (earlier) paper
    --
    doi.org/10.1080/2150704X.2025. <-- shared (earlier) paper
    --
    H/T @abhinav Alangadan
    “Can we develop a first-order understanding of permafrost degradation and glacial lakes exposed to degradation-induced mass movements in the Himalaya?
    [The authors] tried to address this question. The study [first link above] integrates machine learning, statistical modeling, and numerical modeling to investigate high-resolution permafrost distribution, potential degradation, and associated mass-movement hazards in the Kinnaur district of Himachal Pradesh, India.
    Using rock glaciers as proxies, [they] generated a high-resolution permafrost distribution using machine learning, while potential degradation zones were delineated using the 0°C isotherm as a first-order indicator. [They] further identified glacial lakes located near potentially degrading permafrost zones and reconstructed their bathymetry. A detailed scenario-based GLOF process-chain simulation was then carried out for Kashang Lake using r.avaflow and HEC-RAS.
    [Their] results indicate that seven glacial lakes in #Kinnaur are located close to potentially degrading permafrost zones. The simulations further show that a potential GLOF from Kashang Lake could inundate critical downstream infrastructure, including nearly 11 km of National Highway 5…”
    #permafrost #distribution #GIS #spatial #mapping #Himalayas #India #Kinnaur #HimachalPradesh #KashangLake #massmovement #engineeringgeology #machinelearning #AI #model #modeling #numericalmodel #glaciallakes #glaciet #glacial #glaciallakeoutburstflood #GLOF #cryosphere #geostatistics #rockglaciers #GeoAI #bathymetry #processchainsimulation #HECRAS #avaflow #risk #hazard #mitigation #riskassessment #infrastructure #HEP #publicsafety #downstream #avalanche

  7. Decoupling Of Surface Water Storage From Precipitation In Global Drylands Due To Anthropogenic Activity
    --
    doi.org/10.1038/s44221-024-003 <-- shared paper
    --
    “The availability of surface water in global drylands is essential for both human society and ecosystems. However, the long-term drivers of change in surface water storage, particularly those related to anthropogenic activities, remain unclear. Here [they] use[d] multi-mission remote sensing data to construct monthly time series of water storage changes from 1985 to 2020 for 105,400 lakes and reservoirs in global drylands. An increase of 2.20 km³ per year in surface water storage is found primarily due to the construction of new reservoirs. For lakes and old reservoirs (constructed before 1983), conversely, the trend in storage is minor when aggregated globally, but they dominate surface water storage trends in 91% of individual global dryland basins. Further analysis reveals that long-term storage changes in these water bodies are primarily linked to anthropogenic factors - including human-induced warming and water-management practices - rather than to precipitation changes, as previously thought. These findings reveal a decoupling of surface water storage from precipitation in global drylands, raising concerns about societal and ecosystem sustainability…”
    #water #hydrology #hydrography #waterstorage #waterresources #surfacewater #global #drylands #precipitation #rainfall #watersecurity #ecosystems #habitat #publichealth #anthropogenic #GIS #spatial #mapping #remotesensing #earthobservation #spatiotemporal #spatialanalysis #monitoring #geostatistics #engineering #reservoirs #infrastructure #lakes #waterbodies #globalwarming #climatechange #sustainability #planning #baseline

  8. Remote Sensing And GIS-Supported Framework Of Pre-Monsoon Drought Assessment In Bangladesh (2000–2022) Using CHIRPS-Based SPI-3 And MODIS-Derived Vegetation And Temperature Indices
    --
    doi.org/10.1007/s12665-026-128 <-- shared paper
    --
    H/T MD. ABDULLAH AL MAMUNM | Studying PhD in Rural and Environmental Sciences
    “১ বছর ২০ দিন লেগে গেল! প্রথম ৪ জন রিভিউয়ারের প্রায় ৫০+ কমেন্টের পর মনে হয়েছিল আর এগোব না। তবে আমার সুপারভাইজার বলেছিলেন, “রিজেকশনের চেয়ে কমেন্ট ফেস করা ভালো।”
    --
    #GIS #spatial #mapping #remotesensing #Bangladesh #earthobservation #water #hydrology #premoonsoon #moonsoon #drought #CHIRPS #MODIS #SPI #vegetation #temperature #indices #parameters #SPI #NDVI #VCI #TCI #VHI #monitoring #droughts #agriculture #farming #crop #cultivation #yield #foodsecurity #weather #rainfall #precipitation #Pearsoncorrelation #geostatistics #irrigation #watersecurity #foodsecurity #policy #planning

  9. Influence Of Modeling Assumptions On Pedestrian Evacuation Success For Non-Eruptive Lahar Hazards At Mount Rainier, Washington
    --
    doi.org/10.1016/j.ijdrr.2026.1 <-- shared paper
    --
    sciencebase.gov/catalog/item/6 <-- shared, related open data source
    --
    [I still remember working on and being fascinated by lahars being an engineering geologist in Washington State (and from my time studying in New Zealand), although (of course) not to this level of detail/focus]
    #volcano #lahar #evacuation #exposure #model #modeling #engineeringeology #risk #hazard #naturalhazard #MountRainer #Washington #USA #spatialanalysis #spatiotemporal #emergencymanagement #GIS #spatial #mapping #publicsafety #hazardzone #vulcanism #downstream #debrisflow #massmovement #monitoring #detection #geostatistics #demographics #atrisk #fedscience #publicgood #fedservice #opendata
    @USGS

  10. Identification Of Geothermal Anomalies From Landsat Derived Land Surface Temperature, Mount Meager Volcanic Complex, British Columbia, Canada
    --
    doi.org/10.1016/j.rse.2025.114 <-- shared paper
    --
    “Highlights:
    • A novel method for detecting geothermal components from solar energy dominated LST.
    • Using LST time series to eliminate temporal variant solar energy input.
    • Uncertainty in anomaly identification quantified by probability measure.
    • Capable of revealing LST anomalies caused by geothermal, anthropogenic and surface processes..."
    #GIS #spatial #mapping #britishcolumbia #BC #solar #geothermal #remotesensing #earthobservation #LST #spatialanalysis #spatiotemporal #naturalresources #volcanic #geology #geostatistics #landsurfacetemperature #satellite #geothermalheatflux #GHF #energybalance #calculation #model #MountMeager #Landsat #landsat8 #hotspring #landslide #massmovement #engineeringgeology #spring #seep #anthropogenic #HEP #hydropower #monitoring #risk #hazard

  11. Identification Of Geothermal Anomalies From Landsat Derived Land Surface Temperature, Mount Meager Volcanic Complex, British Columbia, Canada
    --
    doi.org/10.1016/j.rse.2025.114 <-- shared paper
    --
    “Highlights:
    • A novel method for detecting geothermal components from solar energy dominated LST.
    • Using LST time series to eliminate temporal variant solar energy input.
    • Uncertainty in anomaly identification quantified by probability measure.
    • Capable of revealing LST anomalies caused by geothermal, anthropogenic and surface processes..."
    #GIS #spatial #mapping #britishcolumbia #BC #solar #geothermal #remotesensing #earthobservation #LST #spatialanalysis #spatiotemporal #naturalresources #volcanic #geology #geostatistics #landsurfacetemperature #satellite #geothermalheatflux #GHF #energybalance #calculation #model #MountMeager #Landsat #landsat8 #hotspring #landslide #massmovement #engineeringgeology #spring #seep #anthropogenic #HEP #hydropower #monitoring #risk #hazard

  12. Identification Of Geothermal Anomalies From Landsat Derived Land Surface Temperature, Mount Meager Volcanic Complex, British Columbia, Canada
    --
    doi.org/10.1016/j.rse.2025.114 <-- shared paper
    --
    “Highlights:
    • A novel method for detecting geothermal components from solar energy dominated LST.
    • Using LST time series to eliminate temporal variant solar energy input.
    • Uncertainty in anomaly identification quantified by probability measure.
    • Capable of revealing LST anomalies caused by geothermal, anthropogenic and surface processes..."
    #GIS #spatial #mapping #britishcolumbia #BC #solar #geothermal #remotesensing #earthobservation #LST #spatialanalysis #spatiotemporal #naturalresources #volcanic #geology #geostatistics #landsurfacetemperature #satellite #geothermalheatflux #GHF #energybalance #calculation #model #MountMeager #Landsat #landsat8 #hotspring #landslide #massmovement #engineeringgeology #spring #seep #anthropogenic #HEP #hydropower #monitoring #risk #hazard

  13. Identification Of Geothermal Anomalies From Landsat Derived Land Surface Temperature, Mount Meager Volcanic Complex, British Columbia, Canada
    --
    doi.org/10.1016/j.rse.2025.114 <-- shared paper
    --
    “Highlights:
    • A novel method for detecting geothermal components from solar energy dominated LST.
    • Using LST time series to eliminate temporal variant solar energy input.
    • Uncertainty in anomaly identification quantified by probability measure.
    • Capable of revealing LST anomalies caused by geothermal, anthropogenic and surface processes..."
    #GIS #spatial #mapping #britishcolumbia #BC #solar #geothermal #remotesensing #earthobservation #LST #spatialanalysis #spatiotemporal #naturalresources #volcanic #geology #geostatistics #landsurfacetemperature #satellite #geothermalheatflux #GHF #energybalance #calculation #model #MountMeager #Landsat #landsat8 #hotspring #landslide #massmovement #engineeringgeology #spring #seep #anthropogenic #HEP #hydropower #monitoring #risk #hazard

  14. Identification Of Geothermal Anomalies From Landsat Derived Land Surface Temperature, Mount Meager Volcanic Complex, British Columbia, Canada
    --
    doi.org/10.1016/j.rse.2025.114 <-- shared paper
    --
    “Highlights:
    • A novel method for detecting geothermal components from solar energy dominated LST.
    • Using LST time series to eliminate temporal variant solar energy input.
    • Uncertainty in anomaly identification quantified by probability measure.
    • Capable of revealing LST anomalies caused by geothermal, anthropogenic and surface processes..."