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#spatiotemporal — Public Fediverse posts

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

  1. Cities In Great Britain Most Vulnerable To Extreme Heat Revealed
    (OS index examines which ‘urban heat islands’ suffer the most – and which cope the best with rising temperatures)
    --
    theguardian.com/environment/20 <-- shared media article
    --
    ordnancesurvey.co.uk/news/new- <-- shared technical article, OS Heat Vulnerability Index
    --
    H/T @joe Clarkson | Campaign Manager - Diffusion PR
    “[The H/T] work[ed] … closely with Ordnance Survey (OS) on new research into which of Britain's cities are most vulnerable to retaining extreme heat, and how that vulnerability shifts between now and the turn of the century as record temperatures continue to climb…
    The newly commissioned OS Heat Vulnerability Index scored 71 cities across Britain using #4EI satellite temperature readings, @Met Office climate modelling projections from 2040 to 2100, and Ordnance Survey data on the makeup of natural and made environments in our cities. Put together, it measures how global warming will impact future heat vulnerability, and how urban heat islands form; a process in which hard surfaces absorb solar radiation through the day to keep centres warm overnight, while rural environments cool.
    Anyone who has been unfortunate enough to stand on a Tube platform or walk through central London this summer, or tried to sleep through a heatwave in a flat that hasn't cooled in months already knows what retained heat feels like. But it's more than an uncomfortable feeling. Extreme heat is claiming an increasing number of lives each year, and location-based intelligence like this is essential to support decisions on how we effectively mitigate and protect against climate change to save lives and protect critical infrastructure.
    What this analysis does is put a number on extreme heat, and shows where it's heading. As Britain's climate continues to warm, the capacity of our cities to cool themselves naturally will only matter more…”
    #ClimateChange #Heat #UrbanHeat #Heatwave #Climate #Warming #Infrastructure #London #Portsmouth #Resilience #OrdnanceSurvey #Geospatial #Data #extremeweather #extremeweather #publichealth #publicsafety #deaths #UK #GreatBritain #OS #HeatVulnerabilityIndex #vulnerability #spatialanalysis #mapping #model #modeling #analysis #spatiotemporal #climate #climatemodeling #spatial #mapping #remotesensing #earthobservation #solarradiation #natural #manmade #retainedheat #mitigation #planning #policy #infrastructure #concrete #asphalt #buildings #hardsurfaces #globalwarming #urbanheatislands #cities #urban
    @Ordnance Survey

  2. Cities In Great Britain Most Vulnerable To Extreme Heat Revealed
    (OS index examines which ‘urban heat islands’ suffer the most – and which cope the best with rising temperatures)
    --
    theguardian.com/environment/20 <-- shared media article
    --
    ordnancesurvey.co.uk/news/new- <-- shared technical article, OS Heat Vulnerability Index
    --
    H/T @joe Clarkson | Campaign Manager - Diffusion PR
    “[The H/T] work[ed] … closely with Ordnance Survey (OS) on new research into which of Britain's cities are most vulnerable to retaining extreme heat, and how that vulnerability shifts between now and the turn of the century as record temperatures continue to climb…
    The newly commissioned OS Heat Vulnerability Index scored 71 cities across Britain using #4EI satellite temperature readings, @Met Office climate modelling projections from 2040 to 2100, and Ordnance Survey data on the makeup of natural and made environments in our cities. Put together, it measures how global warming will impact future heat vulnerability, and how urban heat islands form; a process in which hard surfaces absorb solar radiation through the day to keep centres warm overnight, while rural environments cool.
    Anyone who has been unfortunate enough to stand on a Tube platform or walk through central London this summer, or tried to sleep through a heatwave in a flat that hasn't cooled in months already knows what retained heat feels like. But it's more than an uncomfortable feeling. Extreme heat is claiming an increasing number of lives each year, and location-based intelligence like this is essential to support decisions on how we effectively mitigate and protect against climate change to save lives and protect critical infrastructure.
    What this analysis does is put a number on extreme heat, and shows where it's heading. As Britain's climate continues to warm, the capacity of our cities to cool themselves naturally will only matter more…”
    #ClimateChange #Heat #UrbanHeat #Heatwave #Climate #Warming #Infrastructure #London #Portsmouth #Resilience #OrdnanceSurvey #Geospatial #Data #extremeweather #extremeweather #publichealth #publicsafety #deaths #UK #GreatBritain #OS #HeatVulnerabilityIndex #vulnerability #spatialanalysis #mapping #model #modeling #analysis #spatiotemporal #climate #climatemodeling #spatial #mapping #remotesensing #earthobservation #solarradiation #natural #manmade #retainedheat #mitigation #planning #policy #infrastructure #concrete #asphalt #buildings #hardsurfaces #globalwarming #urbanheatislands #cities #urban
    @Ordnance Survey

  3. Cities In Great Britain Most Vulnerable To Extreme Heat Revealed
    (OS index examines which ‘urban heat islands’ suffer the most – and which cope the best with rising temperatures)
    --
    theguardian.com/environment/20 <-- shared media article
    --
    ordnancesurvey.co.uk/news/new- <-- shared technical article, OS Heat Vulnerability Index
    --
    H/T @joe Clarkson | Campaign Manager - Diffusion PR
    “[The H/T] work[ed] … closely with Ordnance Survey (OS) on new research into which of Britain's cities are most vulnerable to retaining extreme heat, and how that vulnerability shifts between now and the turn of the century as record temperatures continue to climb…
    The newly commissioned OS Heat Vulnerability Index scored 71 cities across Britain using #4EI satellite temperature readings, @Met Office climate modelling projections from 2040 to 2100, and Ordnance Survey data on the makeup of natural and made environments in our cities. Put together, it measures how global warming will impact future heat vulnerability, and how urban heat islands form; a process in which hard surfaces absorb solar radiation through the day to keep centres warm overnight, while rural environments cool.
    Anyone who has been unfortunate enough to stand on a Tube platform or walk through central London this summer, or tried to sleep through a heatwave in a flat that hasn't cooled in months already knows what retained heat feels like. But it's more than an uncomfortable feeling. Extreme heat is claiming an increasing number of lives each year, and location-based intelligence like this is essential to support decisions on how we effectively mitigate and protect against climate change to save lives and protect critical infrastructure.
    What this analysis does is put a number on extreme heat, and shows where it's heading. As Britain's climate continues to warm, the capacity of our cities to cool themselves naturally will only matter more…”
    #ClimateChange #Heat #UrbanHeat #Heatwave #Climate #Warming #Infrastructure #London #Portsmouth #Resilience #OrdnanceSurvey #Geospatial #Data #extremeweather #extremeweather #publichealth #publicsafety #deaths #UK #GreatBritain #OS #HeatVulnerabilityIndex #vulnerability #spatialanalysis #mapping #model #modeling #analysis #spatiotemporal #climate #climatemodeling #spatial #mapping #remotesensing #earthobservation #solarradiation #natural #manmade #retainedheat #mitigation #planning #policy #infrastructure #concrete #asphalt #buildings #hardsurfaces #globalwarming #urbanheatislands #cities #urban
    @Ordnance Survey

  4. Cities In Great Britain Most Vulnerable To Extreme Heat Revealed
    (OS index examines which ‘urban heat islands’ suffer the most – and which cope the best with rising temperatures)
    --
    theguardian.com/environment/20 <-- shared media article
    --
    ordnancesurvey.co.uk/news/new- <-- shared technical article, OS Heat Vulnerability Index
    --
    H/T @joe Clarkson | Campaign Manager - Diffusion PR
    “[The H/T] work[ed] … closely with Ordnance Survey (OS) on new research into which of Britain's cities are most vulnerable to retaining extreme heat, and how that vulnerability shifts between now and the turn of the century as record temperatures continue to climb…
    The newly commissioned OS Heat Vulnerability Index scored 71 cities across Britain using #4EI satellite temperature readings, @Met Office climate modelling projections from 2040 to 2100, and Ordnance Survey data on the makeup of natural and made environments in our cities. Put together, it measures how global warming will impact future heat vulnerability, and how urban heat islands form; a process in which hard surfaces absorb solar radiation through the day to keep centres warm overnight, while rural environments cool.
    Anyone who has been unfortunate enough to stand on a Tube platform or walk through central London this summer, or tried to sleep through a heatwave in a flat that hasn't cooled in months already knows what retained heat feels like. But it's more than an uncomfortable feeling. Extreme heat is claiming an increasing number of lives each year, and location-based intelligence like this is essential to support decisions on how we effectively mitigate and protect against climate change to save lives and protect critical infrastructure.
    What this analysis does is put a number on extreme heat, and shows where it's heading. As Britain's climate continues to warm, the capacity of our cities to cool themselves naturally will only matter more…”
    #ClimateChange #Heat #UrbanHeat #Heatwave #Climate #Warming #Infrastructure #London #Portsmouth #Resilience #OrdnanceSurvey #Geospatial #Data #extremeweather #extremeweather #publichealth #publicsafety #deaths #UK #GreatBritain #OS #HeatVulnerabilityIndex #vulnerability #spatialanalysis #mapping #model #modeling #analysis #spatiotemporal #climate #climatemodeling #spatial #mapping #remotesensing #earthobservation #solarradiation #natural #manmade #retainedheat #mitigation #planning #policy #infrastructure #concrete #asphalt #buildings #hardsurfaces #globalwarming #urbanheatislands #cities #urban
    @Ordnance Survey

  5. Cities In Great Britain Most Vulnerable To Extreme Heat Revealed
    (OS index examines which ‘urban heat islands’ suffer the most – and which cope the best with rising temperatures)
    --
    theguardian.com/environment/20 <-- shared media article
    --
    ordnancesurvey.co.uk/news/new- <-- shared technical article, OS Heat Vulnerability Index
    --
    H/T @joe Clarkson | Campaign Manager - Diffusion PR
    “[The H/T] work[ed] … closely with Ordnance Survey (OS) on new research into which of Britain's cities are most vulnerable to retaining extreme heat, and how that vulnerability shifts between now and the turn of the century as record temperatures continue to climb…
    The newly commissioned OS Heat Vulnerability Index scored 71 cities across Britain using satellite temperature readings, @Met Office climate modelling projections from 2040 to 2100, and Ordnance Survey data on the makeup of natural and made environments in our cities. Put together, it measures how global warming will impact future heat vulnerability, and how urban heat islands form; a process in which hard surfaces absorb solar radiation through the day to keep centres warm overnight, while rural environments cool.
    Anyone who has been unfortunate enough to stand on a Tube platform or walk through central London this summer, or tried to sleep through a heatwave in a flat that hasn't cooled in months already knows what retained heat feels like. But it's more than an uncomfortable feeling. Extreme heat is claiming an increasing number of lives each year, and location-based intelligence like this is essential to support decisions on how we effectively mitigate and protect against climate change to save lives and protect critical infrastructure.
    What this analysis does is put a number on extreme heat, and shows where it's heading. As Britain's climate continues to warm, the capacity of our cities to cool themselves naturally will only matter more…”

    @Ordnance Survey

  6. Improved Tidal Analysis Datum Calculator [NOAA, USA]
    --
    tidesandcurrents.noaa.gov/news <-- shared technical article
    --
    access.co-ops.nos.noaa.gov/dat <-- shared ‘Tidal Analysis Datum Calculator’ online tool
    --
    tidesandcurrents.noaa.gov/map/ <-- shared Interactive Map to Locate Control Stations
    --
    access.co-ops.nos.noaa.gov/dat <-- shared user guide
    --
    access.co-ops.nos.noaa.gov/dat <-- shared technical report
    --
    tidesandcurrents.noaa.gov/datu <-- shared details of the National Tidal Datum Epoch
    --
    H/T @NOAA National Ocean Service
    “NOAA has upgraded its tidal datum calculation tool with new integrated features! [links above] Did you know you can use this resource to perform your own tidal datum computations and understand local flood frequency?
    The Tidal Datum Analysis Calculator is available now for users to input their data to help make informed decisions on tidal flooding, coastal inundation, and other critical coastal issues.
    With the National Tidal Datum Epoch release rescheduled for 2029, this tool serves as a resource for stakeholders to analyze and understand water level data in their areas of interest by calculating preliminary datums relative to the new epoch…”
    #tidal #datum #calculation #tool #NOAA #TidalAnalysisDatumCalculator #TADC #fedscience #fedservice #opendata #usecase #flood #flooding #coast #coastal #inundation #NationalTidalDatumEpoch #waterlevel #spatialanalysis #mapping #spatial #spatiotemporal #vertical #USA #MSL #MHW #MLW
    @NOAA @NOAA National Ocean Service

  7. Improved Tidal Analysis Datum Calculator [NOAA, USA]
    --
    tidesandcurrents.noaa.gov/news <-- shared technical article
    --
    access.co-ops.nos.noaa.gov/dat <-- shared ‘Tidal Analysis Datum Calculator’ online tool
    --
    tidesandcurrents.noaa.gov/map/ <-- shared Interactive Map to Locate Control Stations
    --
    access.co-ops.nos.noaa.gov/dat <-- shared user guide
    --
    access.co-ops.nos.noaa.gov/dat <-- shared technical report
    --
    tidesandcurrents.noaa.gov/datu <-- shared details of the National Tidal Datum Epoch
    --
    H/T @NOAA National Ocean Service
    “NOAA has upgraded its tidal datum calculation tool with new integrated features! [links above] Did you know you can use this resource to perform your own tidal datum computations and understand local flood frequency?
    The Tidal Datum Analysis Calculator is available now for users to input their data to help make informed decisions on tidal flooding, coastal inundation, and other critical coastal issues.
    With the National Tidal Datum Epoch release rescheduled for 2029, this tool serves as a resource for stakeholders to analyze and understand water level data in their areas of interest by calculating preliminary datums relative to the new epoch…”
    #tidal #datum #calculation #tool #NOAA #TidalAnalysisDatumCalculator #TADC #fedscience #fedservice #opendata #usecase #flood #flooding #coast #coastal #inundation #NationalTidalDatumEpoch #waterlevel #spatialanalysis #mapping #spatial #spatiotemporal #vertical #USA #MSL #MHW #MLW
    @NOAA @NOAA National Ocean Service

  8. Improved Tidal Analysis Datum Calculator [NOAA, USA]
    --
    tidesandcurrents.noaa.gov/news <-- shared technical article
    --
    access.co-ops.nos.noaa.gov/dat <-- shared ‘Tidal Analysis Datum Calculator’ online tool
    --
    tidesandcurrents.noaa.gov/map/ <-- shared Interactive Map to Locate Control Stations
    --
    access.co-ops.nos.noaa.gov/dat <-- shared user guide
    --
    access.co-ops.nos.noaa.gov/dat <-- shared technical report
    --
    tidesandcurrents.noaa.gov/datu <-- shared details of the National Tidal Datum Epoch
    --
    H/T @NOAA National Ocean Service
    “NOAA has upgraded its tidal datum calculation tool with new integrated features! [links above] Did you know you can use this resource to perform your own tidal datum computations and understand local flood frequency?
    The Tidal Datum Analysis Calculator is available now for users to input their data to help make informed decisions on tidal flooding, coastal inundation, and other critical coastal issues.
    With the National Tidal Datum Epoch release rescheduled for 2029, this tool serves as a resource for stakeholders to analyze and understand water level data in their areas of interest by calculating preliminary datums relative to the new epoch…”
    #tidal #datum #calculation #tool #NOAA #TidalAnalysisDatumCalculator #TADC #fedscience #fedservice #opendata #usecase #flood #flooding #coast #coastal #inundation #NationalTidalDatumEpoch #waterlevel #spatialanalysis #mapping #spatial #spatiotemporal #vertical #USA #MSL #MHW #MLW
    @NOAA @NOAA National Ocean Service

  9. Improved Tidal Analysis Datum Calculator [NOAA, USA]
    --
    tidesandcurrents.noaa.gov/news <-- shared technical article
    --
    access.co-ops.nos.noaa.gov/dat <-- shared ‘Tidal Analysis Datum Calculator’ online tool
    --
    tidesandcurrents.noaa.gov/map/ <-- shared Interactive Map to Locate Control Stations
    --
    access.co-ops.nos.noaa.gov/dat <-- shared user guide
    --
    access.co-ops.nos.noaa.gov/dat <-- shared technical report
    --
    tidesandcurrents.noaa.gov/datu <-- shared details of the National Tidal Datum Epoch
    --
    H/T @NOAA National Ocean Service
    “NOAA has upgraded its tidal datum calculation tool with new integrated features! [links above] Did you know you can use this resource to perform your own tidal datum computations and understand local flood frequency?
    The Tidal Datum Analysis Calculator is available now for users to input their data to help make informed decisions on tidal flooding, coastal inundation, and other critical coastal issues.
    With the National Tidal Datum Epoch release rescheduled for 2029, this tool serves as a resource for stakeholders to analyze and understand water level data in their areas of interest by calculating preliminary datums relative to the new epoch…”

    @NOAA @NOAA National Ocean Service

  10. Improved Tidal Analysis Datum Calculator [NOAA, USA]
    --
    tidesandcurrents.noaa.gov/news <-- shared technical article
    --
    access.co-ops.nos.noaa.gov/dat <-- shared ‘Tidal Analysis Datum Calculator’ online tool
    --
    tidesandcurrents.noaa.gov/map/ <-- shared Interactive Map to Locate Control Stations
    --
    access.co-ops.nos.noaa.gov/dat <-- shared user guide
    --
    access.co-ops.nos.noaa.gov/dat <-- shared technical report
    --
    tidesandcurrents.noaa.gov/datu <-- shared details of the National Tidal Datum Epoch
    --
    H/T @NOAA National Ocean Service
    “NOAA has upgraded its tidal datum calculation tool with new integrated features! [links above] Did you know you can use this resource to perform your own tidal datum computations and understand local flood frequency?
    The Tidal Datum Analysis Calculator is available now for users to input their data to help make informed decisions on tidal flooding, coastal inundation, and other critical coastal issues.
    With the National Tidal Datum Epoch release rescheduled for 2029, this tool serves as a resource for stakeholders to analyze and understand water level data in their areas of interest by calculating preliminary datums relative to the new epoch…”
    #tidal #datum #calculation #tool #NOAA #TidalAnalysisDatumCalculator #TADC #fedscience #fedservice #opendata #usecase #flood #flooding #coast #coastal #inundation #NationalTidalDatumEpoch #waterlevel #spatialanalysis #mapping #spatial #spatiotemporal #vertical #USA #MSL #MHW #MLW
    @NOAA @NOAA National Ocean Service

  11. 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…”

  12. 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

  13. 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

  14. 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

  15. 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

  16. Mapping Sleeping Bees within Their Nest: Spatial and Temporal Analysis of Worker Honey Bee Sleep
    --
    pmc.ncbi.nlm.nih.gov/articles/ <-- shared paper
    --
    H/T Dimitrios A. Karras
    “Bees are not only very important for all ecosystems... They are very cute too....
    However, bee societies are very complex and different sleep patterns exist for the other kinds of bees in the hierarchy..
    In general, bees actually sleep, and many species spend around 5-8 hours resting each day, usually at night when they're not foraging.
    Some solitary bees have been photographed sleeping inside flowers, where they cling onto the petals or stamens with their tiny legs and sometimes even their jaws.
    One of the cutest parts is that tired bees can look almost like they've fallen asleep at work, curled up inside a flower with pollen still covering their bodies…”
    --
    “Patterns of behavior within societies have long been visualized and interpreted using maps. Mapping the occurrence of sleep across individuals within a society could offer clues as to functional aspects of sleep. In spite of this, a detailed spatial analysis of sleep has never been conducted on an invertebrate society. [The authors] introduce the concept of mapping sleep across an insect society, and provide an empirical example, mapping sleep patterns within colonies of European honey bees (Apis mellifera L.). Honey bees face variables such as temperature and position of resources within their colony's nest that may impact their sleep. [They] mapped sleep behavior and temperature of worker bees and produced maps of their nest's comb contents as the colony grew and contents changed. By following marked bees, [they] discovered that individuals slept in many locations, but bees of different worker castes slept in different areas of the nest relative to position of the brood and surrounding temperature. Older worker bees generally slept outside cells, closer to the perimeter of the nest, in colder regions, and away from uncapped brood. Younger worker bees generally slept inside cells and closer to the center of the nest, and spent more time asleep than awake when surrounded by uncapped brood. The average surface temperature of sleeping foragers was lower than the surface temperature of their surroundings, offering a possible indicator of sleep for this caste. [They] propose mechanisms that could generate caste-dependent sleep patterns and discuss functional significance of these patterns…”
    #bee #insect #hive #sleeping #sleep #patterns #monitoring #spatialanalysis #spatiotemporal #spatial #mapping #sleeppatterns #behaviour #society #community #honeybees #ecosystem #colony #infrared #remotesensing #temperature #instrumentation

  17. 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)

  18. Sea Levels Rising Dramatically In Some Areas Due To Land Subsidence [global]
    --
    phys.org/news/2026-05-sea-area <-- shared technical article
    --
    doi.org/10.1038/s41467-026-722 <-- shared paper
    --
    [#VLM = vertical land motion; #ASL = absolute sea-level; #RSL = relative sea-level; #GIA = (global) Glacial Isostatic Adjustment; #inSAR = Interferometric Synthetic Aperture Radar; #GNSS = Global Navigation Satellite System (~GPS); #OE24 = paper, doi.org/10.1038/s41561-023-013, interpolated VLM reconstruction based on the joint analysis of GNSS, tide gauges (TGs), and satellite altimetry]
    #GIS #spatial #mapping #remotesensing #earthobservation #sealevel #verticallandmotion #absolutesealevel #relativesealevel #GlacialIsostaticAdjustment #geomorphometry #SLR #sealevelrise #coast #coastal #flood #flooding #subsidence #landmass #landsubsidence #global #globalsealevelrise #climatechange #city #urban #farmlands #population #demographics #cities #planning #community #elevation #monitoring #spatialanalysis #spatiotemporal #altimetry

  19. Peak Glacier Extinction In The Mid-Twenty-First Century
    --
    doi.org/10.1038/s41558-025-025 <-- shared paper
    --
    “📉 KEY FINDINGS
    • At +4 °C, only ~18,000 glaciers remain worldwide by 2100
    • At +1.5 °C, ~100,000 glaciers survive
    • [They] identif[ed] “Peak Glacier Extinction”:
    – ~2041 at +1.5 °C (~2,000 glaciers lost per year)
    – ~2055 at +4 °C (~4,000 glaciers lost per year)
    🏔️ THE ALPS
    • At +2.7 °C, only ~110 glaciers remain by 2100.
    • At +4 °C, this drops to just ~20.
    Can you imagine the Alps with almost no glaciers left?...”
    #model #modeling #global #glacier #loss #glacial #cryosphere #spatialanalysis #spatiotemporal #GloGEM #OGGM #PyGEM #extinction #climate #climatechange #globalwarming #water #hydrology #freshwater #surfacewater #count #metrics #volume #thickness #size #sealevelrise #tourism #culture #usecase #waterresources #Alps #TheAlps #worldwide #melted #melting

  20. Improving our Coasts with High-Resolution Land Cover Data [#NOAA]
    --
    coast.noaa.gov/states/stories/ <-- shared technical article
    --
    coast.noaa.gov/ccapatlas/ <-- on-demand, online NOAA CCAP Landcover Atlas
    --
    coast.noaa.gov/digitalcoast/da <-- #opendata C-CAP High-Resolution Land Cover
    --
    Use Case Examples:
    • Flood Inundation Modeling and Risk Assessment
    • Stormwater Management and Water Quality Protection
    • Heat Risk and Urban Forestry
    • Wetland Monitoring, Conservation, or Restoration Planning
    • Other – e.g., Discovering Gaps in Broadband Access
    --
    #GIS #spatial #mapping #NOAA #DigitalCoast #LandCover #CoastalManagement #GeospatialData #EnvironmentalData #ResilientCommunities #landcover #usecase #economics #remotesensing #earthobservation #opendata #floodinnundation #waterquality #water #hydrology #risk #hazard #spatialanalysis #spatiotemporal #stormwater #management #heatrisk #urbanforestry #wetland #monitoring #conservation #planning #resortation
    @noaa #NOAAOfficeForCoastalManagement

  21. 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

  22. A Site Selection Framework For Urban Power Substation At Micro-Scale Using Spatial Optimization Strategy And Geospatial Big Data
    --
    doi.org/10.1111/tgis.13093 <-- shared paper
    --
    “In this study, [they] model spatiotemporal heterogeneity and incorporate it into optimizing the location of substations. The optimized substation placement ensures electrical service coverage for over 99% of the area during peak power usage seasons, compared to the current coverage of 72%...”
    #GIS #spatial #mapping #spatialanalysis #spatiotemporal #siting #demand #electricity #heterogeneity #substations #powertransmission #electricalpower #distrubition #service #city #urbanisation #extremeweather #model #modeling #parameters #factors #energycrisis #energy #urbanplanning #routing #outages #framework #UrbanPS #bigdata #AI #machinelearning #Pingxiang #Jiangxi #China #casestudy #coverage #utilisation #dynamic #load #loading #loadbalancing