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#usecase — Public Fediverse posts

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

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  1. 💧🌏 Greg Cocks @[email protected] ·

    Geospatial Analysis of Carbon Offset Projects - A Broader Scientific Outlook
    --
    eldhollow.com/blogs/geospatial <-- shared technical blog
    --
    [this post should not be considered an endorsement of a particular organisation, rather scrutinising the spatial use case & technical approach]
    H/T @kyle Arvisais | Forest Carbon Scientist
    “Geospatial analysis is at the core of [the H/T’s company’s] project quality assessments, and [the author is] constantly finding ways to make the pipeline better and ways to use it. [They are] obviously not the only one who uses these types of tools, but to be perfectly honest, the quality of models [they have] seen over the years has been all over the place.
    This blog makes a casual introduction to [their] pipeline while talking about the field at large…”
    --
    “The world has committed to protecting and restoring nature at an unprecedented scale. Whether that commitment delivers what it promises comes down project execution on the ground. Local socioeconomics and forest ecology intertwine to create complex challenges for projects to overcome during implementation, and at the end of the day, projects boil all of these complexities down to one single unit: the carbon credit. So the question becomes: can we actually measure what is happening to a forest, accurately and honestly, and everywhere at once?
    For a long time, the honest answer has been no. Historically, many forest carbon projects overstated their impact. Usually it was because the baseline was too generous, or because the measurements underneath were flawed. For anyone with a stake in nature markets, that uncertainty is one of the core risks.
    Robust geospatial analysis can help mitigate that risk. If you treat a carbon credit as what it really is, a scientific claim, then we can hold it to that standard and assess it objectively. [Their] geospatial pipeline turns satellite data and ground truth data into models about how much forest is standing, how it is changing, and what might put it at risk in the future. The pipeline does this anywhere on Earth…”
    #GIS #spatial #mapping #usecase #carbonoffset #spatialanalysis #spatiotemporal #qualityassessment #objectivity #projectpipeline #model #modeling #application #nature #environment #ecosystems #ecology #local #regional #factors #socioeconomics #forestecology #vegetation #forest #tree #carboncredit #climatechange #climatecrisis #forestcarbonprojects #global

    #gis #spatial #mapping #usecase #carbonoffset #spatialanalysis
  2. 💧🌏 Greg Cocks @GregCocks ·

    Geospatial Analysis of Carbon Offset Projects - A Broader Scientific Outlook
    --
    eldhollow.com/blogs/geospatial <-- shared technical blog
    --
    [this post should not be considered an endorsement of a particular organisation, rather scrutinising the spatial use case & technical approach]
    H/T @kyle Arvisais | Forest Carbon Scientist
    “Geospatial analysis is at the core of [the H/T’s company’s] project quality assessments, and [the author is] constantly finding ways to make the pipeline better and ways to use it. [They are] obviously not the only one who uses these types of tools, but to be perfectly honest, the quality of models [they have] seen over the years has been all over the place.
    This blog makes a casual introduction to [their] pipeline while talking about the field at large…”
    --
    “The world has committed to protecting and restoring nature at an unprecedented scale. Whether that commitment delivers what it promises comes down project execution on the ground. Local socioeconomics and forest ecology intertwine to create complex challenges for projects to overcome during implementation, and at the end of the day, projects boil all of these complexities down to one single unit: the carbon credit. So the question becomes: can we actually measure what is happening to a forest, accurately and honestly, and everywhere at once?
    For a long time, the honest answer has been no. Historically, many forest carbon projects overstated their impact. Usually it was because the baseline was too generous, or because the measurements underneath were flawed. For anyone with a stake in nature markets, that uncertainty is one of the core risks.
    Robust geospatial analysis can help mitigate that risk. If you treat a carbon credit as what it really is, a scientific claim, then we can hold it to that standard and assess it objectively. [Their] geospatial pipeline turns satellite data and ground truth data into models about how much forest is standing, how it is changing, and what might put it at risk in the future. The pipeline does this anywhere on Earth…”

    #gis #spatial #mapping #usecase #carbonoffset #spatialanalysis
  3. 💧🌏 Greg Cocks @[email protected] ·

    The Importance Of Trusted [spatial] Data In The Real World - And How Geovation Is Evolving
    --
    ordnancesurvey.co.uk/blog/how- <-- shared technical/overview article
    --
    geovation.uk/ <-- shared Geovation home page
    --
    H/T @gareth Sumner | Head of Geovation, Leading innovation, connecting innovators with real world problems and championing design thinking
    “… How can technology 👨‍💻 create meaningful impact in the real world? 🌍
    Today that question feels more relevant than ever.
    While much of the conversation around AI focuses on digital tools and experiences, what I really care about is its potential to improve outcomes in the physical world.
    That's where trusted, foundational data becomes critical – and it has become our north star as Geovation continues to evolve…”
    --
    “Geovation is Ordnance Survey (OS)'s innovation programme, pioneered more than 15 years ago to foster a geospatial ecosystem for startups to solve real world challenges. Now its head, Gareth Sumner, considers the importance of trusted data and AI in today's world and how Geovation is evolving into a national data innovation and impact lab: a place where government data, entrepreneurial talent and real-world challenges come together…”
    #Geovation #AI #machinelearning #innovation #usecase #appliedscience #AI #GeoAI #geospatialecosystem #startups #industrysupport #data #realworld #UK #LocationTech #SpatialInnovation #MappingTheFuture #TechStartups #InnovationHub #Entrepreneurship #FoundersUK #GIS #spatial #mapping #BritainMapped #MadeInUK
    @OrdnanceSurvey | @Geovation

    #geovation #ai #machinelearning #usecase #appliedscience #geoai
  4. 💧🌏 Greg Cocks @GregCocks ·

    The Importance Of Trusted [spatial] Data In The Real World - And How Geovation Is Evolving
    --
    ordnancesurvey.co.uk/blog/how- <-- shared technical/overview article
    --
    geovation.uk/ <-- shared Geovation home page
    --
    H/T @gareth Sumner | Head of Geovation, Leading innovation, connecting innovators with real world problems and championing design thinking
    “… How can technology 👨‍💻 create meaningful impact in the real world? 🌍
    Today that question feels more relevant than ever.
    While much of the conversation around AI focuses on digital tools and experiences, what I really care about is its potential to improve outcomes in the physical world.
    That's where trusted, foundational data becomes critical – and it has become our north star as Geovation continues to evolve…”
    --
    “Geovation is Ordnance Survey (OS)'s innovation programme, pioneered more than 15 years ago to foster a geospatial ecosystem for startups to solve real world challenges. Now its head, Gareth Sumner, considers the importance of trusted data and AI in today's world and how Geovation is evolving into a national data innovation and impact lab: a place where government data, entrepreneurial talent and real-world challenges come together…”

    @OrdnanceSurvey | @Geovation

    #geovation #ai #machinelearning #usecase #appliedscience #geoai
  5. 💧🌏 Greg Cocks @[email protected] ·

    Using Geospatial Analysis and Explainable Machine Learning to Examine Risk Factors of Out-of-Hospital Cardiac Arrest Survival Outcome
    --
    openscholar.uga.edu/record/269 <-- shared technical publication / dissertation
    --
    aag.org/award-grant/william-l- <-- shared @AAG William L. Garrison Award for Best Dissertation in Computational Geography
    --
    [again, way outside any expertise I might have, but fascinating spatial analysis use case…]
    H/T @Jielu Zhang | Postdoctoral Researcher @ Harvard University
    “[The authors] Ph.D. dissertation "Using Geospatial Analysis and Explainable Machine Learning to Examine Risk Factors of Out-of-Hospital Cardiac Arrest Survival Outcome" [1st link above] has received the 2026 biennial William L. Garrison Award for Best Dissertation in Computational Geography from the American Association of Geographers… [2nd link above.]
    In [their] research, [they] develop[ed] Explainable GeoAI and Causal GeoAI methods that combine geographic data and artificial intelligence to expose and ameliorate health disparities by delivering models that not only predict risks but also illuminate how and where to intervene. While [their] dissertation focused on cardiovascular disease, these approaches are broadly applicable to public health, medicine, urban planning, environmental exposure, and resilience research…”
    #explainable #causal #AI #model #modeling #PublicHealth #GIS #spatial #mapping #spatialanalysis #spatiotemporal #AAG2026 #AAG #Award #geostatistics #Georgia #health #risk #hazard #cardiacarrest #cardiovacscular #usecase #metrics #midocine #urbanplanning #resilience #survival #OutofHospital #PhD #Dissertation #CardiacArrest #AutomatedExternalDefibrillator #SpatialOptimization #GeographicallyExplainableArtificialIntelligence #GeoAI #GeoXAI #SpatiallyAwareCausalInference #OverlayedSpatioTemporalOptimization #healthcare #medical #intervention #GIS #spatial #mappingt #spatialanalysis #spatiotemporal #heart #heartattack #AED #survival #survivaloutcomes #machinelearning #AI #publichealth #healthgeographers #counterfactual #explainable #deeplearning #model #modeling

    #explainable #causal #ai #model #modeling #publichealth
  6. 💧🌏 Greg Cocks @GregCocks ·

    Using Geospatial Analysis and Explainable Machine Learning to Examine Risk Factors of Out-of-Hospital Cardiac Arrest Survival Outcome
    --
    openscholar.uga.edu/record/269 <-- shared technical publication / dissertation
    --
    aag.org/award-grant/william-l- <-- shared @AAG William L. Garrison Award for Best Dissertation in Computational Geography
    --
    [again, way outside any expertise I might have, but fascinating spatial analysis use case…]
    H/T @Jielu Zhang | Postdoctoral Researcher @ Harvard University
    “[The authors] Ph.D. dissertation "Using Geospatial Analysis and Explainable Machine Learning to Examine Risk Factors of Out-of-Hospital Cardiac Arrest Survival Outcome" [1st link above] has received the 2026 biennial William L. Garrison Award for Best Dissertation in Computational Geography from the American Association of Geographers… [2nd link above.]
    In [their] research, [they] develop[ed] Explainable GeoAI and Causal GeoAI methods that combine geographic data and artificial intelligence to expose and ameliorate health disparities by delivering models that not only predict risks but also illuminate how and where to intervene. While [their] dissertation focused on cardiovascular disease, these approaches are broadly applicable to public health, medicine, urban planning, environmental exposure, and resilience research…”

    #explainable #causal #ai #model #modeling #publichealth
  7. 💧🌏 Greg Cocks @[email protected] ·

    Global Performance of #RemoteSensing Based and Reanalysis-Driven Models to Estimate Open Water Evaporation
    --
    doi.org/10.1029/2025WR042363
    --
    “ABSTRACT: Evaporation plays an essential role in the water cycle, influencing local and regional climates while directly impacting water availability in lakes. However, directly measuring evaporation over water bodies remains challenging due to the high costs of installing and maintaining the required in situ instrumentation. Although several remote sensing algorithms have been providing evaporation estimates, the lack of a global validation hinders our understanding of their relative uncertainties and performances across different regions. Here, [they] analyze[d] the performance of a suite of models that leverage satellite data and meteorological reanalysis to estimate evaporation over lakes worldwide. [They] compare[d] three remote sensing-based models, one reanalysis-driven model and one ensemble approach, using in situ observations from 27 lakes representing a diverse range of geographic and climatic regions. [Their] results demonstrate that, overall, the ensemble outperformed any individual model in terms of accuracy, with a RMSE and a bias of 1.3 and 0.3 mm/day, respectively. These findings highlight the benefits of using an ensemble approach to estimate open water evaporation with satellite-based models at the global scale, leveraging the unique strengths of each model. For the individual models, differences in the representation of heat storage changes and advection effects led to lower values of RMSE and bias, depending on the location and depth of the lakes. This study sets the path for future improvement of open water evaporation algorithms globally, while remote sensing techniques are proven satisfactory to monitoring of water loss in lakes globally, an essential step toward effective large-scale water resources management.
    PLAIN LANGUAGE SUMMARY: Water loss through evaporation in lakes and reservoirs directly affects water availability, which highlights the need to monitor these losses. However, measuring evaporation in situ is challenging and expensive. An alternative is to estimate evaporation using remote-sensing models and compare these estimates with in-situ data to verify their accuracy. Here, [they] evaluated four models and their ensemble (the models' mean value) using measurements from 27 lakes and reservoirs worldwide. [They] found that the ensemble presented higher accuracy and consistency than any individual model because it benefits from the strengths of each model. This approach can guide future improvements in estimating open-water evaporation, which is essential for large-scale water-resource management…”
    #global #mapping #earthobservation #GIS #spatial #spatialanalysis #spatiotemporal #model #modeling #water #hydrology #surfacewater #waterbody #lake #reservoir #evaporation #evapotranspiration #watercycle #weather #meteorology #usecase #waterresources #watermanagement #waterloss #regional #estimate #policy #planning #instrumentation #comparasion

    #remotesensing #global #mapping #earthobservation #gis #spatial
  8. 💧🌏 Greg Cocks @GregCocks ·

    Global Performance of Based and Reanalysis-Driven Models to Estimate Open Water Evaporation
    --
    doi.org/10.1029/2025WR042363
    --
    “ABSTRACT: Evaporation plays an essential role in the water cycle, influencing local and regional climates while directly impacting water availability in lakes. However, directly measuring evaporation over water bodies remains challenging due to the high costs of installing and maintaining the required in situ instrumentation. Although several remote sensing algorithms have been providing evaporation estimates, the lack of a global validation hinders our understanding of their relative uncertainties and performances across different regions. Here, [they] analyze[d] the performance of a suite of models that leverage satellite data and meteorological reanalysis to estimate evaporation over lakes worldwide. [They] compare[d] three remote sensing-based models, one reanalysis-driven model and one ensemble approach, using in situ observations from 27 lakes representing a diverse range of geographic and climatic regions. [Their] results demonstrate that, overall, the ensemble outperformed any individual model in terms of accuracy, with a RMSE and a bias of 1.3 and 0.3 mm/day, respectively. These findings highlight the benefits of using an ensemble approach to estimate open water evaporation with satellite-based models at the global scale, leveraging the unique strengths of each model. For the individual models, differences in the representation of heat storage changes and advection effects led to lower values of RMSE and bias, depending on the location and depth of the lakes. This study sets the path for future improvement of open water evaporation algorithms globally, while remote sensing techniques are proven satisfactory to monitoring of water loss in lakes globally, an essential step toward effective large-scale water resources management.
    PLAIN LANGUAGE SUMMARY: Water loss through evaporation in lakes and reservoirs directly affects water availability, which highlights the need to monitor these losses. However, measuring evaporation in situ is challenging and expensive. An alternative is to estimate evaporation using remote-sensing models and compare these estimates with in-situ data to verify their accuracy. Here, [they] evaluated four models and their ensemble (the models' mean value) using measurements from 27 lakes and reservoirs worldwide. [They] found that the ensemble presented higher accuracy and consistency than any individual model because it benefits from the strengths of each model. This approach can guide future improvements in estimating open-water evaporation, which is essential for large-scale water-resource management…”

    #remotesensing #global #mapping #earthobservation #gis #spatial
  9. 💧🌏 Greg Cocks @[email protected] ·

    New Digital Tool Helps Farmers Boost Biodiversity In Scotland [spatial]
    (The app is underpinned by trusted data from [UK] Ordnance Survey)
    --
    ordnancesurvey.co.uk/news/new- <-- shared technical article
    --
    biodiversity.scot/ <-- shared Farm Biodiversity Scotland (FarmBioScot) home page
    --
    nature.scot/ <-- shated NatureScot home page
    --
    H/T @Ordnance Survey
    “Most of us use maps to find places. Farmers in Scotland are now using them to help restore nature. 🌿
    A new tool from NatureScot powered by Ordnance Survey data, is being tested with farmers and crofters and helps them map habitats, record wildlife observations and track biodiversity improvements across their land.
    By turning trusted location data into practical insights, FarmBioScot makes it easier to understand the environmental value of the land they manage, support nature recovery and meet requirements for The Scottish Government support schemes.
    It's a great example of how geospatial data can help people make better decisions - benefiting both rural businesses and the natural environment…”
    --
    “NatureScot, Scotland’s nature agency, is testing a new digital tool with farmers and crofters across Scotland to help them consider nature in their business management. The new platform, powered by Ordnance Survey (OS) data, will also make it easier for them to meet requirements for government support schemes.
    Farm Biodiversity Scotland (FarmBioScot) enables users to map habitats, record wildlife observations and track biodiversity improvements on their land through a simple platform, available via both app and web. The tool supports the Scottish Government’s wider ambitions to restore nature while helping farmers demonstrate the environmental value of the land they manage…”
    #GIS #spatial #mapping #biodiversity #digitaltool #usecase #farming #crofters #agriculture #UK #Scotland #NatureScot #habitat #survey #monitoring #wildlife #FarmBioScot #FarmBiodiversityScotland #environment #value #return #funding #records #metrics #rural #business #farm #management #opendata #opensource #publicgood
    #NatureScot | #OrdnanceSurvey

    #gis #spatial #mapping #biodiversity #digitaltool #usecase
  10. 💧🌏 Greg Cocks @GregCocks ·

    New Digital Tool Helps Farmers Boost Biodiversity In Scotland [spatial]
    (The app is underpinned by trusted data from [UK] Ordnance Survey)
    --
    ordnancesurvey.co.uk/news/new- <-- shared technical article
    --
    biodiversity.scot/ <-- shared Farm Biodiversity Scotland (FarmBioScot) home page
    --
    nature.scot/ <-- shated NatureScot home page
    --
    H/T @Ordnance Survey
    “Most of us use maps to find places. Farmers in Scotland are now using them to help restore nature. 🌿
    A new tool from NatureScot powered by Ordnance Survey data, is being tested with farmers and crofters and helps them map habitats, record wildlife observations and track biodiversity improvements across their land.
    By turning trusted location data into practical insights, FarmBioScot makes it easier to understand the environmental value of the land they manage, support nature recovery and meet requirements for The Scottish Government support schemes.
    It's a great example of how geospatial data can help people make better decisions - benefiting both rural businesses and the natural environment…”
    --
    “NatureScot, Scotland’s nature agency, is testing a new digital tool with farmers and crofters across Scotland to help them consider nature in their business management. The new platform, powered by Ordnance Survey (OS) data, will also make it easier for them to meet requirements for government support schemes.
    Farm Biodiversity Scotland (FarmBioScot) enables users to map habitats, record wildlife observations and track biodiversity improvements on their land through a simple platform, available via both app and web. The tool supports the Scottish Government’s wider ambitions to restore nature while helping farmers demonstrate the environmental value of the land they manage…”

    |

    #gis #spatial #mapping #biodiversity #digitaltool #usecase
  11. Stefan @[email protected] ·

    I’m going to give “GoTo Social” a try in the next few days as a potentially lighter alternative to Mastodon. 😉

    Mastodon has been working well and running smoothly for me so far, although, as I understand it, it’s a bit overkill for my needs since I’m just one user with light to moderate daily usage.

    GoTo Social might be able to offer me the features I use regularly while using significantly fewer resources.

    Let’s see how this idea turns out in the coming weeks. 😃

    (Directly translated by deepl.com)

    #Mastodon #GoTo_Social #GoTo #Social #Alternative #HowItWorks #Resources #Efficient #UseCase

    #mastodon #goto_social #goto #social #alternative #howitworks
  12. Stefan @[email protected] ·

    I’m going to give “GoTo Social” a try in the next few days as a potentially lighter alternative to Mastodon. 😉

    Mastodon has been working well and running smoothly for me so far, although, as I understand it, it’s a bit overkill for my needs since I’m just one user with light to moderate daily usage.

    GoTo Social might be able to offer me the features I use regularly while using significantly fewer resources.

    Let’s see how this idea turns out in the coming weeks. 😃

    (Directly translated by deepl.com)

    #Mastodon #GoTo_Social #GoTo #Social #Alternative #HowItWorks #Resources #Efficient #UseCase

    #mastodon #goto_social #goto #social #alternative #howitworks
  13. 💧🌏 Greg Cocks @[email protected] ·

    A Scale-Invariance-Based Algorithm Application For Land Surface Temperature Downscaling In Denmark
    --
    doi.org/10.3390/rs18132263 <-- shared paper
    --
    zenodo.org/records/20863040 <-- shared open data for downscaled LST dataset for Copenhagen
    --
    H/T @CLIM4cities
    #urbanclimate #downscaling #landsurfacetemperature #LST #AI #machinelearning #scaleinvariance #residualcorrection #Sentinel #Landsat #satellite #remotesensing #earthobservation #CLIM4cities #UrbanClimate #ClimateServices #MachineLearning #ClimateAdaptation #heatwave #temperature #ontheground #Copenhagen #Denmark #impervioussurface #asphalt #roof #concrete #albedo #heatabsorption #mitigation #urban #urbancentre #treecover #vegetation #urbanheatisland #planning #design #hotspots #monitoring #spatialanalysis #spatiotemporal #model #modeling #usecase #operational #climatechange #extremeweather #evidencebased #adapation #sustainability #urbanplanning #climateresilience #EssentialClimateVariable #ECV
    @+ATLANTIC | @Danish Meteorological Institute | @ESA Φ-lab Collaborative Innovation Network | @CLIM4cities

    #urbanclimate #downscaling #landsurfacetemperature #lst #ai #machinelearning
  14. 💧🌏 Greg Cocks @GregCocks ·

    A Scale-Invariance-Based Algorithm Application For Land Surface Temperature Downscaling In Denmark
    --
    doi.org/10.3390/rs18132263 <-- shared paper
    --
    zenodo.org/records/20863040 <-- shared open data for downscaled LST dataset for Copenhagen
    --
    H/T @CLIM4cities

    @+ATLANTIC | @Danish Meteorological Institute | @ESA Φ-lab Collaborative Innovation Network | @CLIM4cities

    #urbanclimate #downscaling #landsurfacetemperature #lst #ai #machinelearning
  15. 💧🌏 Greg Cocks @[email protected] ·

    Statistical Characterization Of High Flow Volumes Across The Conterminous United States Supporting Managed Aquifer Recharge
    --
    doi.org/10.1029/2025WR041955 <-- shared paper
    --
    latimes.com/environment/story/ <-- shared media article
    --
    #water #hydrology #groundwater #watersecurity #waterresources #watersupply #watermanagement #USA #CONUS #aquifer #ManagedAquiferRecharge #MAR #FloodMAR #depletion #overpumping #flood #flooding #recharge #planning #policy #streamflow #extremes #hydrography #highflowvolumes #HFV #model #modeling #uncertainly #siting #screening #usecase #spatialanalysis #geostatics #spatiotemporal #mapping #hydrogeomorphology

    #water #hydrology #groundwater #watersecurity #waterresources #watersupply
  16. 💧🌏 Greg Cocks @GregCocks ·

    Statistical Characterization Of High Flow Volumes Across The Conterminous United States Supporting Managed Aquifer Recharge
    --
    doi.org/10.1029/2025WR041955 <-- shared paper
    --
    latimes.com/environment/story/ <-- shared media article
    --

    #water #hydrology #groundwater #watersecurity #waterresources #watersupply
  17. diesUndDasMitTassen 🇺🇦 @[email protected] ·

    Prozessdokumentation

    Warum richten alle das funktionsübergreifende #Flussdiagramm waagerecht aus?

    Bis gestern hab ich das auch getan, obwohl ich nie auf die Idee gekommen wäre #Sequenzdiagramm #Programmablaufplan oder #Usecase Diagramm waagerecht auszurichten. Dann kann man am Schirm gar nicht scrollen 😂

    Senkrecht ist übersichtlich, nutzt den Platz so effektiv, dass man es sogar an die Wand werfen und trotzdem die Texte lesen kann 🤔

    #swimlanediagram #bpmn #bpm #prozessdokumentation #jbpm

    #flussdiagramm #sequenzdiagramm #programmablaufplan #usecase #swimlanediagram #bpmn
  18. diesUndDasMitTassen 🇺🇦 @[email protected] ·

    Prozessdokumentation

    Warum richten alle das funktionsübergreifende #Flussdiagramm waagerecht aus?

    Bis gestern hab ich das auch getan, obwohl ich nie auf die Idee gekommen wäre #Sequenzdiagramm #Programmablaufplan oder #Usecase Diagramm waagerecht auszurichten. Dann kann man am Schirm gar nicht scrollen 😂

    Senkrecht ist übersichtlich, nutzt den Platz so effektiv, dass man es sogar an die Wand werfen und trotzdem die Texte lesen kann 🤔

    #swimlanediagram #bpmn #bpm #prozessdokumentation #jbpm

    #flussdiagramm #sequenzdiagramm #programmablaufplan #usecase #swimlanediagram #bpmn
  19. 💧🌏 Greg Cocks @[email protected] ·

    AI Haumaru, AI Motuhake Mō Te Māori GIS Kaupapa - Safe, Secure, Sovereign Artificial Intelligence Use For Māori GIS Projects [webinar/training/overview]
    --
    events.teams.microsoft.com/eve <-- shared (past) event page
    --
    kahuiraraunga.io/maoriaigovern <-- shared Te Kāhui Raraunga Māori AI governance framework document
    --
    [very worthwhile and engaging webinar/overview, with an excellent focus on use cases and local LLMs (for data privacy, etc)]
    #webinar #training #overview #GIS #spatial #mapping #reporting #prompts #prompting #NewZealand #LLM #AI #sovereignty #Māori #indigenous #FirstNation #structureduse #informeduse #risks #usecase #local #dataprivacy #iwi #hapū #ArtificialIntelligence
    @Land Information New Zealand

    #webinar #training #overview #gis #spatial #mapping
  20. 💧🌏 Greg Cocks @GregCocks ·

    AI Haumaru, AI Motuhake Mō Te Māori GIS Kaupapa - Safe, Secure, Sovereign Artificial Intelligence Use For Māori GIS Projects [webinar/training/overview]
    --
    events.teams.microsoft.com/eve <-- shared (past) event page
    --
    kahuiraraunga.io/maoriaigovern <-- shared Te Kāhui Raraunga Māori AI governance framework document
    --
    [very worthwhile and engaging webinar/overview, with an excellent focus on use cases and local LLMs (for data privacy, etc)]

    @Land Information New Zealand

    #webinar #training #overview #gis #spatial #mapping
  21. 💧🌏 Greg Cocks @[email protected] ·

    Multidecadal Reconstruction Of Terrestrial Water Storage Changes By Combining Pre-GRACE Satellite Observations And Climate Data
    --
    doi.org/10.5194/essd-18-1747-2 <-- shared paper
    --
    doi.org/10.5281/zenodo.15827789 <-- reconstructed fields and corresponding uncertainty datasets
    --
    doi.org/10.5281/zenodo.16643628 <-- corresponding time series datasets
    --
    #GIS #spatial #mapping #remotesensing #earthobservation #GRACE #GRACEFO #water #hydrology #hydrography #waterresources #waterstorage #planning #monitoring #spatialanalysis #spatiotemporal #climatemodel #climatechange #extremeweather #regression #AI #machinelearning #rainfall #precipitation #remperatures #parameters #gravity #geodetic #satellite #orbitography #geomorphometry #DORIS #global #reconstruction #limitations #usecase

    #gis #spatial #mapping #remotesensing #earthobservation #grace
  22. 💧🌏 Greg Cocks @GregCocks ·

    Multidecadal Reconstruction Of Terrestrial Water Storage Changes By Combining Pre-GRACE Satellite Observations And Climate Data
    --
    doi.org/10.5194/essd-18-1747-2 <-- shared paper
    --
    doi.org/10.5281/zenodo.15827789 <-- reconstructed fields and corresponding uncertainty datasets
    --
    doi.org/10.5281/zenodo.16643628 <-- corresponding time series datasets
    --

    #gis #spatial #mapping #remotesensing #earthobservation #grace
  23. 💧🌏 Greg Cocks @[email protected] ·

    Geoscience Plugins and QGIS 4
    --
    youtu.be/xtu1XVq88DQ?si=-Vzwd7 <-- shared video webinar / tutorial
    --
    #GIS #spatial #geological #mapping #usecase #alldataisspatial #geology #geoscience #plugins #tutorial #webinars #opendata #opensource #QGIS #QGIS4 #resourcegeology #remotesensing #geophysics #mining #drilling #visualisation #geochemistry #crosssection @QGIS Australia | @QGIS | @OGC

    #gis #spatial #geological #mapping #usecase #alldataisspatial
  24. 💧🌏 Greg Cocks @GregCocks ·

    Geoscience Plugins and QGIS 4
    --
    youtu.be/xtu1XVq88DQ?si=-Vzwd7 <-- shared video webinar / tutorial
    --
    @QGIS Australia | @QGIS | @OGC

    #gis #spatial #geological #mapping #usecase #alldataisspatial
  25. Wulfy—Speaker to the machines @[email protected] ·

    @patrickcmiller

    Well, at least that shut up all the muppets saying there is no #usecase for the always rong #Ai

    #hackers are happy

    #usecase #ai #hackers
  26. 💧🌏 Greg Cocks @[email protected] ·

    European Ground Motion Service (#EGMS)
    --
    doi.org/10.1016/j.rse.2026.115 <-- shared paper
    --
    #GIS #spatial #mapping #EuropeanGroundMotionService #EGMS #copernicus #satellite #PersistentScattererInterferometry #SAR #sentinel #sentinel1 #displacement #deformation #useruptake #serviceevolution #Envisat #InSAR #ROSEL #CopernicusGlobalGroundMotionService #CGGMS #risk #hazard #disaster #ground #motion #surface #deformation #usecase #subsidence #differential #remotesensing #earthobservation
    @ESA

    #egms #gis #spatial #mapping #europeangroundmotionservice #copernicus
  27. 💧🌏 Greg Cocks @GregCocks ·

    European Ground Motion Service (#EGMS)
    --
    doi.org/10.1016/j.rse.2026.115 <-- shared paper
    --

    @ESA

    #egms #gis #spatial #mapping #europeangroundmotionservice #copernicus
  28. 💧🌏 Greg Cocks @[email protected] ·

    Spatial Signals [podcast]
    --
    americaview.podbean.com/ <-- shared podcast entry page
    --
    americaview.substack.com/ <-- shared Spatial Signals Substack page
    --
    [note that I am not associated with this podcast in any way, and this post should not be considered an endorsement]
    “Spatial Signals is a podcast about remote sensing, GIS, and geospatial technologies - but more importantly, it’s a podcast about the people who use and apply them. This podcast is sponsored by AmericaView, the national remote sensing network dedicated to empowering Earth Observation…”
    #SpatialSignals #AmericaView #Geospatial #RemoteSensing #GIS #spatial #mapping #GeoAI #OpenSource #podcast #remotesensing #earthobservation #spatialprofessionals #SMEs #socialmedia #GISgeeks #usecase #publicgood #spatialanalysis #spatiotemporal #model #modeling
    @SpatialSignals | @Youngstown State University | @AmericaView

    #spatialsignals #americaview #geospatial #remotesensing #gis #spatial
  29. 💧🌏 Greg Cocks @GregCocks ·

    Spatial Signals [podcast]
    --
    americaview.podbean.com/ <-- shared podcast entry page
    --
    americaview.substack.com/ <-- shared Spatial Signals Substack page
    --
    [note that I am not associated with this podcast in any way, and this post should not be considered an endorsement]
    “Spatial Signals is a podcast about remote sensing, GIS, and geospatial technologies - but more importantly, it’s a podcast about the people who use and apply them. This podcast is sponsored by AmericaView, the national remote sensing network dedicated to empowering Earth Observation…”

    @SpatialSignals | @Youngstown State University | @AmericaView

    #spatialsignals #americaview #geospatial #remotesensing #gis #spatial
  30. 💧🌏 Greg Cocks @[email protected] ·

    Latest Data Release From Ordnance Survey Delivers Britain’s Most Detailed Digital Map Ever [UK]
    --
    ordnancesurvey.co.uk/news/late <-- shared technical article
    --
    osdatahub.os.uk/ <-- shared OS spatial data hub
    --
    ordnancesurvey.co.uk/blog/os-b <-- shared details of new OS BaseMap Pro
    --
    #GIS #spatial #mapping #UK #Britain #GreatBritain #OrdnanceSurvey #map #Kent #cartography #history #modern #OSNationalGeographicDatabase #OSNGD #database #opendata #digitalmapping #metadata #attribution #consistency #accessability #usecase #OSBaseMapPro #transportation #routing #infrastructure #healthcare #emergencyservices #spatialanalysis #publicservice #publicgood #publicsafety #publichealth #planning #sustainability #climateadaptation #resilience #spatialdata #cartography
    #OrdnanceSurvey

    #gis #spatial #mapping #uk #britain #greatbritain
  31. 💧🌏 Greg Cocks @GregCocks ·

    Latest Data Release From Ordnance Survey Delivers Britain’s Most Detailed Digital Map Ever [UK]
    --
    ordnancesurvey.co.uk/news/late <-- shared technical article
    --
    osdatahub.os.uk/ <-- shared OS spatial data hub
    --
    ordnancesurvey.co.uk/blog/os-b <-- shared details of new OS BaseMap Pro
    --

    #gis #spatial #mapping #uk #britain #greatbritain
  32. 💧🌏 Greg Cocks @[email protected] ·

    Canada’s Geospatial Strategy Conversations Are Revealing A System Under Pressure
    --
    gogeomatics.ca/canada-geospati <-- shared technical article / editorial
    --
    #GIS #spatial #mapping #spatialdata #unified #governance #infrastructure #coordination #Canada #geospatial #consistency #CollaborativeGeospatialStrategy #stakeholders #roundtables #governance #technology #workforce #publicsafety #strategy #coherence #GoGeomatics #strategicinfrastructure #nationalpolicy #framework #housing #energy #transportation #resources #positioning #navigation #usecase
    @natural Resources Canada

    #gis #spatial #mapping #spatialdata #unified #governance
  33. 💧🌏 Greg Cocks @GregCocks ·

    Canada’s Geospatial Strategy Conversations Are Revealing A System Under Pressure
    --
    gogeomatics.ca/canada-geospati <-- shared technical article / editorial
    --

    @natural Resources Canada

    #gis #spatial #mapping #spatialdata #unified #governance
  34. 💧🌏 Greg Cocks @[email protected] ·

    ‘This Feels Fragile’ - How A Satellite-Smashing Chain Reaction Could Spiral Out Of Control [space junk]
    --
    Today, the space around Earth can no longer be considered empty. More than 30,000 objects are in orbit, and that figure is rising exponentially
    --
    theguardian.com/science/ng-int <-- shared interactive technical/media article, with outstanding visualisations
    --
    space-track.org/ | celestrak.org/ | planet4589.org/space/stats/ <-- various satellite tracking efforts
    --
    #spacejunk #spacedebris #visualisation #spatialanalysis #orbit #spatiotemporal #satellite #fragments #history #Sputnik #risk #hazard #mitigation #deorbiting #reentry #orbitallanes #military #communication #weather #remotesensing #astronomy #earthobservation #lightpollution #orbitaltraffic #collision #debris #usecase #logistics #crowded #coordination #planning #tracking #technology
    @TheGuardian

    #spacejunk #spacedebris #visualisation #spatialanalysis #orbit #spatiotemporal
  35. 💧🌏 Greg Cocks @GregCocks ·

    ‘This Feels Fragile’ - How A Satellite-Smashing Chain Reaction Could Spiral Out Of Control [space junk]
    --
    Today, the space around Earth can no longer be considered empty. More than 30,000 objects are in orbit, and that figure is rising exponentially
    --
    theguardian.com/science/ng-int <-- shared interactive technical/media article, with outstanding visualisations
    --
    space-track.org/ | celestrak.org/ | planet4589.org/space/stats/ <-- various satellite tracking efforts
    --

    @TheGuardian

    #spacejunk #spacedebris #visualisation #spatialanalysis #orbit #spatiotemporal
  36. 💧🌏 Greg Cocks @[email protected] ·

    USGS CoNED (TopoBathy) WebMap Viewer & (Open) Data Downloader
    --
    topotools.cr.usgs.gov/topobath <-- shared #USGS Viewer webmap & download selector
    --
    usgs.gov/coastal-changes-and-i <-- shared USGS CoNED overview/entry page
    --
    [I used to shore dive in the Straits Of Juan de Fucca, Washington State side, and Crescent Lake - so I chose that area as a CoNED example to explore; good memories, including of the 18 Wheeler Burger with pie & coffee in Joyce, WA on drizzly days]
    #GIS #spatial #mapping #remotesensing #model #modeling #CoastalNationalElevationDatabase #CoNED #elevation #topography #bathymetry #topobathy #opendata #openscience #fedscience #publicgood #usecase #naturalworld #coastal #coast #depth #hydrospatial #hydrography #download #shoreline #inundation #sedimenttransport #sealevelrise #SLR #stormsurge #models #modeling #extremeweather #tsunami #impact #risk #hazard #assessment #climatechange #geomorphology #geomorphometry #Restoration, #redevelopment #protection #cliff #flood #flooding #webmap
    @USGS

    #usgs #gis #spatial #mapping #remotesensing #model
  37. 💧🌏 Greg Cocks @GregCocks ·

    USGS CoNED (TopoBathy) WebMap Viewer & (Open) Data Downloader
    --
    topotools.cr.usgs.gov/topobath <-- shared Viewer webmap & download selector
    --
    usgs.gov/coastal-changes-and-i <-- shared USGS CoNED overview/entry page
    --
    [I used to shore dive in the Straits Of Juan de Fucca, Washington State side, and Crescent Lake - so I chose that area as a CoNED example to explore; good memories, including of the 18 Wheeler Burger with pie & coffee in Joyce, WA on drizzly days]
    ,
    @USGS

    #usgs #gis #spatial #mapping #remotesensing #model
  38. Habr @[email protected] ·

    UseCase или как описывать бизнес-процессы в коде

    UseCase - как организовать своё приложение с точки зрения бизнес-процессов, чтобы не погрязнуть в хаосе сервисов, контроллеров и разрозненной логики. Узнать как это

    habr.com/ru/articles/1012988/

    #usecase #application #domain #arhitectura #бизнеспроцессы #бизнеспроцесс #архитектура #бэкенд #php #laravel

    #laravel #php #бэкенд #архитектура #бизнеспроцесс #бизнеспроцессы
  39. Andy Engin Utkan @[email protected] ·

    Beyond the URL Button: The Salesforce Request Approval Lightning Component

    Are you finding that as your company grows, the complexity of your approval workflows grows along with it? What once might have been a simple sign-off from a single manager can quickly transform into a multi-step process involving input from multiple departments, stakeholders, and even external partners. This complexity often leads to delays, inefficiencies, and frustration as approvals get stuck in bottlenecks or lost in email chains.

    Salesforce’s free Flow Approval Processes, built on Flow Orchestrator, automate even the most intricate workflows. A previous post explored launching these Autolaunched Approval Orchestrations via a custom URL button. Today, we are taking that functionality a massive step forward. We will explore the new Request Approval Lightning component and its tie-in to autolaunched flow functionality. This component expands automation by allowing dynamic user inputs directly from the record page.

    The Foundation: Autolaunched Flow Approvals

    Before diving into the new component, let’s quickly recap how autolaunched flow approvals function. When you build an autolaunched approval process, you are essentially building an autolaunched automation that can be executed on demand, very similar to an autolaunched Orchestration or flow. However, the traditional method of launching Salesforce automations (the quick action button) has strict limitations. Quick actions can only be used to add an active screen flow to the page layout; orchestrations are simply not supported. Furthermore, quick actions do not allow you to pass additional input parameter values into your automation beyond the standard recordId.

    Because of these limitations, the standard workaround has been to build an autolaunched Approval Orchestration and assign it to a custom URL button on the page layout. For example, a common use case is to escalate a case to a queue of level 2 experts when a second opinion is required. By appending variables to the custom URL, such as ?recordId={!Case.Id}&submitter={!$User.Id}&retURL={!Case.Id}, administrators could successfully pass the necessary parameters to kick off the orchestration. While highly effective, this URL button method is a bit rigid. It automatically submits the record based on predefined flow logic without giving the submitter much runtime flexibility.

    Enter the Request Approval Lightning Component

    This is where the new Request Approval component completely changes the game. Instead of relying on a custom URL button to trigger your background orchestration, you can now add a native, user-friendly interface directly to your Lightning record pages. This component bridges the gap between the UI of a screen flow and the processing power of an autolaunched orchestration.

    To utilize this feature, you must first design, test, and activate an autolaunched flow approval process. Once your flow is ready, you can simply open the record page where you want to place the component. Click the gear icon on the navigation bar, and select Edit Page to open the Lightning App Builder. From the Components tab, search for “Request” and drag the Request Approval component directly onto the layout.

    Straightforward Setup

    You can customize the title of the component to display user-friendly text at run time. Then search for and select your active, autolaunched flow approval process to run whenever the user clicks the “Start” button. You can also assign a specific label to identify the associated flow approval process to your users.

    Expanding the Use Case: What Can Be Added?

    So, how exactly does this new component expand the capabilities of your autolaunched flow use cases? The true power of the Request Approval component lies in its ability to gather critical, dynamic inputs directly from the submitter at the exact moment of submission. When using the old custom URL button method, the approver destination (such as the Level 2 expert queue) was hardcoded into the flow steps. With the new component, you can dramatically increase the flexibility of your processes through two main enhancements:

    Dynamic Approver Selection

    The component allows you to require submitters to actively select an approver before the flow runs. To enable this, you must configure your underlying autolaunched flow approval process to assign one or more approval steps to a specific resource named firstApprover. In the Lightning App Builder, you then select the Require submitter to select an approver setting.

    It is critical to ensure your flow is properly configured to accept this input. Consider whether the flow approval process you selected assigns one or more steps to the firstApprover resource. If it does, you must select this requirement on the component to prevent the flow approval process from failing when a submitter attempts to use it. This means a single autolaunched flow can now be routed to entirely different managers, departments, or external stakeholders on the fly.

    Submission Comments

    Another massive expansion of your use case is the ability to capture submission comments. Often, an approver needs context as to why a record is being submitted. The Request Approval component shows an Approval Request Comments field by default. This exposes optional submitter comments directly to the approvers via the submissionComments resource.

    If your business process dictates that comments are unnecessary, or if you want to streamline the UI to prevent the submitter from adding comments about a submission, you easily have the option to select Hide submitter comments within the component configuration. These comments are stored cleanly in the new data model under the Approval Submissions object, specifically within the Comments field, making them accessible via queries if you wish to display them in custom approver screen flows.

    The Impact on Your Org’s Architecture

    By tying the Request Approval component to your autolaunched orchestrations, you unlock a highly scalable and flexible architecture. You no longer need to build dozens of slightly different flows for different queues or approvers. Instead, you can rely on a single autolaunched flow that dynamically adapts based on the firstApprover and submissionComments variables passed from the component.

    This ties seamlessly into the broader Flow Approval Process ecosystem. Once submitted, the process still leverages the brand-new UI and audit trail, including the Approvals Lightning app, Approval Submissions, and Approval Work Items. The orchestration sequences stages and steps behind the scenes. It potentially triggers automated background steps like updating records or sending notifications without requiring further user interaction. Approvers still receive their email notifications with links to the Work Guide, and they can still reply directly to the emails with keywords like “Approve” or “Reject” to complete their action. Furthermore, administrators must still remember to add the Flow Orchestration Work Guide component to the record page. It approvers have a centralized interface to actually interact with the assigned approval step.

    It is important no note that this component allows the user to recall the approval process once it is started.

    Conclusion

    The Request Approval component takes the Autolaunched Flow Approval Process and makes it more dynamic and user-centric. By moving away from static URL buttons and embracing this native Lightning component, administrators can empower their users to select appropriate approvers and provide vital context through comments. All while leveraging the free, robust automation engine of Salesforce Flow Orchestrator.

    Whether you are routing cases to level 2 experts or managing multi-million dollar contracts, this functionality ensures your approval workflows are as efficient, user-friendly as possible. Save and activate your record page layout, exit the Lightning App Builder, and watch your new approval processes in action.

    [youtube youtube.com/watch?v=8AlAsH7qb6]

    Explore related content:

    How to Build Custom Flow Approval Submission Related Lists

    Start Autolaunched Flow Approvals From A Button

    Supercharge Your Approvals with Salesforce Flow Approval Processes

    #FlowApprovals #HowTo #LightningComponent #Salesforce #SalesforceAdmins #SalesforceDevelopers #SalesforceTutorial #useCase
    #flowapprovals #howto #lightningcomponent #salesforce #salesforceadmins #salesforcedevelopers
  40. 💧🌏 Greg Cocks @GregCocks ·

    Predictability Of Earth’s Greenness [incl. spatial]
    --
    doi.org/10.1016/j.isprsjprs.20 <-- shared paper
    --
    phys.org/news/2026-02-global-g <-- shared technical article
    --
    vox.com/down-to-earth/2024/2/7 <-- shared technical media article
    --
    doi.org/10.1038/s41893-019-022 <-- shared (2019) paper
    --

    #earth #greenness #deeplearning #ai #usecase #productivity
  41. 💧🌏 Greg Cocks @GregCocks ·

    Aquatic Reflectance Derived From Sentinel-2 Multispectral Imager Data For Inland Waters In The Conterminous United States
    --
    doi.org/10.1002/lol2.70112 <-- shared paper
    --
    doi.org/10.1016/j.watres.2025. <-- shared ‘related’ paper
    --
    🚨 🛰️

    |

    #gis #spatial #mapping #fedscience #openscience #publicgood
  42. 💧🌏 Greg Cocks @GregCocks ·

    (Open) Webinar - Introduction to ML/DL Theory - Explore the foundational theory behind Machine Learning (ML) and Deep Learning (DL) in a geospatial context
    --
    events.teams.microsoft.com/eve <-- shared webina registration
    --
    H/T Eric Loubier | DG, Canada Centre for Mapping and Earth Observation
    “🌎 GeoAI Webinar Series
    March 5, 2026 (11:00 am–3:00 pm ET)
    Module #1: Introduction to ML/DL Theory
    • Explore the foundational theory behind Machine Learning (ML) and Deep Learning (DL) in a geospatial context…”

    #webinar #open #free #geoai #unggim #artificialintelligence