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#earthobservation — Public Fediverse posts

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

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

    On-Demand Global Landsat Evapotranspiration Product - Development, Evaluation, And Dissemination
    --
    doi.org/10.1016/j.rse.2026.115 <-- shared paper
    --
    espa.cr.usgs.gov <-- shared (open data) USGS EROS Science Processing Architecture (ESPA) platform
    --
    etdata.org/ <-- OpenET SSEBop platform implementation (water management)
    --
    usgs.gov/landsat-missions/land <-- shared USGS Landsat Collection 2 Provisional Actual Evapotranspiration Science Product
    --
    H/T @mac Friedrichs | Remote Sensing Scientist, KBR | USGS EROS
    “This paper summarizes new achievements in developing and distributing the Global Landsat Level-3 Evapotranspiration (ET) product. It is freely available through the USGS EROS Science Processing Architecture (ESPA) platform (2nd link above). 🛰️ …
    Since the product launch in June 2020, there have been over 1.2 million Landsat-based ET orders around the world. This indicates increasing awareness and application of the ET data to help understand and manage the relationships among food, energy, and water resources. 🌽💧 …
    It features the ESPA workflow and evaluation of the upgraded SSEBop model using a variety of observational datasets and hydrologic regions, and examination against OpenET SSEBop platform implementation (3rd link above.)…”
    --
    “HIGHLIGHTS
    • ESPA platform allows access to on-demand, global, Landsat-based, ET products.
    • SSEBop model has been used to create ET data since 1982 through ESPA.
    • A quick estimation of field-scale crop consumptive water use can be achieved.
    • Numerous orders reflect worldwide extensive interest and utilization of the data.
    • Method, workflow, and performance of the actual ET data are presented in the study..."
    #EROSScienceProcessingArchitecture #climate #global #Evapotranspiration #ET #GIS #spatial #mapping #remotesensing #earthobservation #water #hydrology #opendata #Landsat #OpenET #SSEBop #WaterManagement #Agriculture #USGS #EROS #datadelivery #food #foodsecurity #energy #water #watersecurity #model #modeling #ESPA #farming #cropland #wateruse #waterresources #workflow
    @USGS @EROS

    #erosscienceprocessingarchitecture #climate #global #evapotranspiration #et #gis
  2. 💧🌏 Greg Cocks @[email protected] ·

    On-Demand Global Landsat Evapotranspiration Product - Development, Evaluation, And Dissemination
    --
    doi.org/10.1016/j.rse.2026.115 <-- shared paper
    --
    espa.cr.usgs.gov <-- shared (open data) USGS EROS Science Processing Architecture (ESPA) platform
    --
    etdata.org/ <-- OpenET SSEBop platform implementation (water management)
    --
    usgs.gov/landsat-missions/land <-- shared USGS Landsat Collection 2 Provisional Actual Evapotranspiration Science Product
    --
    H/T @mac Friedrichs | Remote Sensing Scientist, KBR | USGS EROS
    “This paper summarizes new achievements in developing and distributing the Global Landsat Level-3 Evapotranspiration (ET) product. It is freely available through the USGS EROS Science Processing Architecture (ESPA) platform (2nd link above). 🛰️ …
    Since the product launch in June 2020, there have been over 1.2 million Landsat-based ET orders around the world. This indicates increasing awareness and application of the ET data to help understand and manage the relationships among food, energy, and water resources. 🌽💧 …
    It features the ESPA workflow and evaluation of the upgraded SSEBop model using a variety of observational datasets and hydrologic regions, and examination against OpenET SSEBop platform implementation (3rd link above.)…”
    --
    “HIGHLIGHTS
    • ESPA platform allows access to on-demand, global, Landsat-based, ET products.
    • SSEBop model has been used to create ET data since 1982 through ESPA.
    • A quick estimation of field-scale crop consumptive water use can be achieved.
    • Numerous orders reflect worldwide extensive interest and utilization of the data.
    • Method, workflow, and performance of the actual ET data are presented in the study..."
    #EROSScienceProcessingArchitecture #climate #global #Evapotranspiration #ET #GIS #spatial #mapping #remotesensing #earthobservation #water #hydrology #opendata #Landsat #OpenET #SSEBop #WaterManagement #Agriculture #USGS #EROS #datadelivery #food #foodsecurity #energy #water #watersecurity #model #modeling #ESPA #farming #cropland #wateruse #waterresources #workflow
    @USGS @EROS

    #erosscienceprocessingarchitecture #climate #global #evapotranspiration #et #gis
  3. 💧🌏 Greg Cocks @[email protected] ·

    On-Demand Global Landsat Evapotranspiration Product - Development, Evaluation, And Dissemination
    --
    doi.org/10.1016/j.rse.2026.115 <-- shared paper
    --
    espa.cr.usgs.gov <-- shared (open data) USGS EROS Science Processing Architecture (ESPA) platform
    --
    etdata.org/ <-- OpenET SSEBop platform implementation (water management)
    --
    usgs.gov/landsat-missions/land <-- shared USGS Landsat Collection 2 Provisional Actual Evapotranspiration Science Product
    --
    H/T @mac Friedrichs | Remote Sensing Scientist, KBR | USGS EROS
    “This paper summarizes new achievements in developing and distributing the Global Landsat Level-3 Evapotranspiration (ET) product. It is freely available through the USGS EROS Science Processing Architecture (ESPA) platform (2nd link above). 🛰️ …
    Since the product launch in June 2020, there have been over 1.2 million Landsat-based ET orders around the world. This indicates increasing awareness and application of the ET data to help understand and manage the relationships among food, energy, and water resources. 🌽💧 …
    It features the ESPA workflow and evaluation of the upgraded SSEBop model using a variety of observational datasets and hydrologic regions, and examination against OpenET SSEBop platform implementation (3rd link above.)…”
    --
    “HIGHLIGHTS
    • ESPA platform allows access to on-demand, global, Landsat-based, ET products.
    • SSEBop model has been used to create ET data since 1982 through ESPA.
    • A quick estimation of field-scale crop consumptive water use can be achieved.
    • Numerous orders reflect worldwide extensive interest and utilization of the data.
    • Method, workflow, and performance of the actual ET data are presented in the study..."
    #EROSScienceProcessingArchitecture #climate #global #Evapotranspiration #ET #GIS #spatial #mapping #remotesensing #earthobservation #water #hydrology #opendata #Landsat #OpenET #SSEBop #WaterManagement #Agriculture #USGS #EROS #datadelivery #food #foodsecurity #energy #water #watersecurity #model #modeling #ESPA #farming #cropland #wateruse #waterresources #workflow
    @USGS @EROS

    #erosscienceprocessingarchitecture #climate #global #evapotranspiration #et #gis
  4. 💧🌏 Greg Cocks @[email protected] ·

    On-Demand Global Landsat Evapotranspiration Product - Development, Evaluation, And Dissemination
    --
    doi.org/10.1016/j.rse.2026.115 <-- shared paper
    --
    espa.cr.usgs.gov <-- shared (open data) USGS EROS Science Processing Architecture (ESPA) platform
    --
    etdata.org/ <-- OpenET SSEBop platform implementation (water management)
    --
    usgs.gov/landsat-missions/land <-- shared USGS Landsat Collection 2 Provisional Actual Evapotranspiration Science Product
    --
    H/T @mac Friedrichs | Remote Sensing Scientist, KBR | USGS EROS
    “This paper summarizes new achievements in developing and distributing the Global Landsat Level-3 Evapotranspiration (ET) product. It is freely available through the USGS EROS Science Processing Architecture (ESPA) platform (2nd link above). 🛰️ …
    Since the product launch in June 2020, there have been over 1.2 million Landsat-based ET orders around the world. This indicates increasing awareness and application of the ET data to help understand and manage the relationships among food, energy, and water resources. 🌽💧 …
    It features the ESPA workflow and evaluation of the upgraded SSEBop model using a variety of observational datasets and hydrologic regions, and examination against OpenET SSEBop platform implementation (3rd link above.)…”
    --
    “HIGHLIGHTS
    • ESPA platform allows access to on-demand, global, Landsat-based, ET products.
    • SSEBop model has been used to create ET data since 1982 through ESPA.
    • A quick estimation of field-scale crop consumptive water use can be achieved.
    • Numerous orders reflect worldwide extensive interest and utilization of the data.
    • Method, workflow, and performance of the actual ET data are presented in the study..."
    #EROSScienceProcessingArchitecture #climate #global #Evapotranspiration #ET #GIS #spatial #mapping #remotesensing #earthobservation #water #hydrology #opendata #Landsat #OpenET #SSEBop #WaterManagement #Agriculture #USGS #EROS #datadelivery #food #foodsecurity #energy #water #watersecurity #model #modeling #ESPA #farming #cropland #wateruse #waterresources #workflow
    @USGS @EROS

    #workflow #waterresources #wateruse #cropland #farming #espa
  5. 💧🌏 Greg Cocks @GregCocks ·

    On-Demand Global Landsat Evapotranspiration Product - Development, Evaluation, And Dissemination
    --
    doi.org/10.1016/j.rse.2026.115 <-- shared paper
    --
    espa.cr.usgs.gov <-- shared (open data) USGS EROS Science Processing Architecture (ESPA) platform
    --
    etdata.org/ <-- OpenET SSEBop platform implementation (water management)
    --
    usgs.gov/landsat-missions/land <-- shared USGS Landsat Collection 2 Provisional Actual Evapotranspiration Science Product
    --
    H/T @mac Friedrichs | Remote Sensing Scientist, KBR | USGS EROS
    “This paper summarizes new achievements in developing and distributing the Global Landsat Level-3 Evapotranspiration (ET) product. It is freely available through the USGS EROS Science Processing Architecture (ESPA) platform (2nd link above). 🛰️ …
    Since the product launch in June 2020, there have been over 1.2 million Landsat-based ET orders around the world. This indicates increasing awareness and application of the ET data to help understand and manage the relationships among food, energy, and water resources. 🌽💧 …
    It features the ESPA workflow and evaluation of the upgraded SSEBop model using a variety of observational datasets and hydrologic regions, and examination against OpenET SSEBop platform implementation (3rd link above.)…”
    --
    “HIGHLIGHTS
    • ESPA platform allows access to on-demand, global, Landsat-based, ET products.
    • SSEBop model has been used to create ET data since 1982 through ESPA.
    • A quick estimation of field-scale crop consumptive water use can be achieved.
    • Numerous orders reflect worldwide extensive interest and utilization of the data.
    • Method, workflow, and performance of the actual ET data are presented in the study..."

    @USGS @EROS

    #erosscienceprocessingarchitecture #climate #global #evapotranspiration #et #gis
  6. 💧🌏 Greg Cocks @[email protected] ·

    Identifying Agricultural Consumptive-Use Patterns To Support Adaptive Water Management In California’s Santa Clara Valley Via Remote Sensing And Machine Learning
    --
    doi.org/10.1371/journal.pwat.0 <-- shared paper
    --
    H/T @Guillaume Wright | Executive Editor, PLOS
    “💧 With drought [and high temperatures] gripping many areas of the world right now... [the H/T] wanted to highlight a new paper in PLOS Water this week with a very timely focus on hydroclimatic stresses and what can be done to mitigate this through water management practices when it comes to agriculture.
    [The authors] investigate[d] adaptive water management practices in California’s Santa Clara Valley via remote sensing and machine learning techniques. They [found] good evidence for use of customized agricultural water-management plans for irrigation monitoring, conservation planning, and adaptive water management in groundwater-dependent regions such as is found in California…”
    #GIS #spatial #mapping #California #SantaClara #SantaClaraValley #custom #watermanagement #practices #waterresources #agriculture #remotesensing #spatialanalysis #machinelearning #earthobservation #AI #planning #wateruse #efficiency #water #hydrology #irrigation #conservation #adaptivewatermanagement #model #modeling #drought #extremeweather #hydroclimate #stress #crop #cropland #evapotranspiration #ET #NDVI #PRISM #precipitation #rainfall #watermanagementplan #groundwater

    #gis #spatial #mapping #california #santaclara #santaclaravalley
  7. 💧🌏 Greg Cocks @[email protected] ·

    Identifying Agricultural Consumptive-Use Patterns To Support Adaptive Water Management In California’s Santa Clara Valley Via Remote Sensing And Machine Learning
    --
    doi.org/10.1371/journal.pwat.0 <-- shared paper
    --
    H/T @Guillaume Wright | Executive Editor, PLOS
    “💧 With drought [and high temperatures] gripping many areas of the world right now... [the H/T] wanted to highlight a new paper in PLOS Water this week with a very timely focus on hydroclimatic stresses and what can be done to mitigate this through water management practices when it comes to agriculture.
    [The authors] investigate[d] adaptive water management practices in California’s Santa Clara Valley via remote sensing and machine learning techniques. They [found] good evidence for use of customized agricultural water-management plans for irrigation monitoring, conservation planning, and adaptive water management in groundwater-dependent regions such as is found in California…”
    #GIS #spatial #mapping #California #SantaClara #SantaClaraValley #custom #watermanagement #practices #waterresources #agriculture #remotesensing #spatialanalysis #machinelearning #earthobservation #AI #planning #wateruse #efficiency #water #hydrology #irrigation #conservation #adaptivewatermanagement #model #modeling #drought #extremeweather #hydroclimate #stress #crop #cropland #evapotranspiration #ET #NDVI #PRISM #precipitation #rainfall #watermanagementplan #groundwater

    #gis #spatial #mapping #california #santaclara #santaclaravalley
  8. 💧🌏 Greg Cocks @[email protected] ·

    Identifying Agricultural Consumptive-Use Patterns To Support Adaptive Water Management In California’s Santa Clara Valley Via Remote Sensing And Machine Learning
    --
    doi.org/10.1371/journal.pwat.0 <-- shared paper
    --
    H/T @Guillaume Wright | Executive Editor, PLOS
    “💧 With drought [and high temperatures] gripping many areas of the world right now... [the H/T] wanted to highlight a new paper in PLOS Water this week with a very timely focus on hydroclimatic stresses and what can be done to mitigate this through water management practices when it comes to agriculture.
    [The authors] investigate[d] adaptive water management practices in California’s Santa Clara Valley via remote sensing and machine learning techniques. They [found] good evidence for use of customized agricultural water-management plans for irrigation monitoring, conservation planning, and adaptive water management in groundwater-dependent regions such as is found in California…”
    #GIS #spatial #mapping #California #SantaClara #SantaClaraValley #custom #watermanagement #practices #waterresources #agriculture #remotesensing #spatialanalysis #machinelearning #earthobservation #AI #planning #wateruse #efficiency #water #hydrology #irrigation #conservation #adaptivewatermanagement #model #modeling #drought #extremeweather #hydroclimate #stress #crop #cropland #evapotranspiration #ET #NDVI #PRISM #precipitation #rainfall #watermanagementplan #groundwater

    #gis #spatial #mapping #california #santaclara #santaclaravalley
  9. 💧🌏 Greg Cocks @[email protected] ·

    Identifying Agricultural Consumptive-Use Patterns To Support Adaptive Water Management In California’s Santa Clara Valley Via Remote Sensing And Machine Learning
    --
    doi.org/10.1371/journal.pwat.0 <-- shared paper
    --
    H/T @Guillaume Wright | Executive Editor, PLOS
    “💧 With drought [and high temperatures] gripping many areas of the world right now... [the H/T] wanted to highlight a new paper in PLOS Water this week with a very timely focus on hydroclimatic stresses and what can be done to mitigate this through water management practices when it comes to agriculture.
    [The authors] investigate[d] adaptive water management practices in California’s Santa Clara Valley via remote sensing and machine learning techniques. They [found] good evidence for use of customized agricultural water-management plans for irrigation monitoring, conservation planning, and adaptive water management in groundwater-dependent regions such as is found in California…”
    #GIS #spatial #mapping #California #SantaClara #SantaClaraValley #custom #watermanagement #practices #waterresources #agriculture #remotesensing #spatialanalysis #machinelearning #earthobservation #AI #planning #wateruse #efficiency #water #hydrology #irrigation #conservation #adaptivewatermanagement #model #modeling #drought #extremeweather #hydroclimate #stress #crop #cropland #evapotranspiration #ET #NDVI #PRISM #precipitation #rainfall #watermanagementplan #groundwater

    #groundwater #watermanagementplan #rainfall #precipitation #prism #ndvi
  10. 💧🌏 Greg Cocks @GregCocks ·

    Identifying Agricultural Consumptive-Use Patterns To Support Adaptive Water Management In California’s Santa Clara Valley Via Remote Sensing And Machine Learning
    --
    doi.org/10.1371/journal.pwat.0 <-- shared paper
    --
    H/T @Guillaume Wright | Executive Editor, PLOS
    “💧 With drought [and high temperatures] gripping many areas of the world right now... [the H/T] wanted to highlight a new paper in PLOS Water this week with a very timely focus on hydroclimatic stresses and what can be done to mitigate this through water management practices when it comes to agriculture.
    [The authors] investigate[d] adaptive water management practices in California’s Santa Clara Valley via remote sensing and machine learning techniques. They [found] good evidence for use of customized agricultural water-management plans for irrigation monitoring, conservation planning, and adaptive water management in groundwater-dependent regions such as is found in California…”

    #gis #spatial #mapping #california #santaclara #santaclaravalley
  11. 💧🌏 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
  12. 💧🌏 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
  13. 💧🌏 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
  14. 💧🌏 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

    #comparasion #instrumentation #planning #policy #estimate #regional
  15. 💧🌏 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
  16. 💧🌏 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
  17. 💧🌏 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
  18. 💧🌏 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
  19. 💧🌏 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

    #ecv #essentialclimatevariable #climateresilience #urbanplanning #sustainability #adapation
  20. 💧🌏 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
  21. 💧🌏 Greg Cocks @[email protected] ·

    Comparative Hydro-Climatic Datasets For Catchment-Wise Linked Water Fluxes And Storage Changes Across South America
    --
    doi.org/10.3389/fenvs.2026.176 <-- shared paper
    --
    doi.org/10.1038/s43247-026-036 <-- shared paper
    --
    doi.org/10.1002/joc.6443 <-- shared paper
    --
    pik-potsdam.de/en/news/latest- | publications.iom.int/books/eva <-- shared 2021 Peru hydroclimate technical article | report
    --
    youtu.be/Ngbm0gsmYAw?si=haqV7t <-- shared overview video
    --
    #water #GIS #spatial #mappping #spatialanalysis #spatiotemporal #remotesensing #earthobservation #Hydrology #Hydroclimatology #ClimateChange #extremeweather #WaterResources #WaterSecurity uncertainity #SouthAmerica #ClimateData #PeerReview #OpenScience #Hydrometeorology #opendata #datasets #rainfall #precipitation #fluvial #heatwave #temperature #changing #consistency #flood #flooding #drought #riskmanagement #risk #hazard #earthsystems #resilience #waterquality #waterpollution #model #modeling #monitoring #records #hydroclimate #hydrogeomorphology #review #SouthAmerica #planning #policy #sustainability #evapotranspiration #runoff #waterstorage #SAHCD

    #water #gis #spatial #mappping #spatialanalysis #spatiotemporal
  22. 💧🌏 Greg Cocks @[email protected] ·

    Comparative Hydro-Climatic Datasets For Catchment-Wise Linked Water Fluxes And Storage Changes Across South America
    --
    doi.org/10.3389/fenvs.2026.176 <-- shared paper
    --
    doi.org/10.1038/s43247-026-036 <-- shared paper
    --
    doi.org/10.1002/joc.6443 <-- shared paper
    --
    pik-potsdam.de/en/news/latest- | publications.iom.int/books/eva <-- shared 2021 Peru hydroclimate technical article | report
    --
    youtu.be/Ngbm0gsmYAw?si=haqV7t <-- shared overview video
    --
    #water #GIS #spatial #mappping #spatialanalysis #spatiotemporal #remotesensing #earthobservation #Hydrology #Hydroclimatology #ClimateChange #extremeweather #WaterResources #WaterSecurity uncertainity #SouthAmerica #ClimateData #PeerReview #OpenScience #Hydrometeorology #opendata #datasets #rainfall #precipitation #fluvial #heatwave #temperature #changing #consistency #flood #flooding #drought #riskmanagement #risk #hazard #earthsystems #resilience #waterquality #waterpollution #model #modeling #monitoring #records #hydroclimate #hydrogeomorphology #review #SouthAmerica #planning #policy #sustainability #evapotranspiration #runoff #waterstorage #SAHCD

    #water #gis #spatial #mappping #spatialanalysis #spatiotemporal
  23. 💧🌏 Greg Cocks @[email protected] ·

    Comparative Hydro-Climatic Datasets For Catchment-Wise Linked Water Fluxes And Storage Changes Across South America
    --
    doi.org/10.3389/fenvs.2026.176 <-- shared paper
    --
    doi.org/10.1038/s43247-026-036 <-- shared paper
    --
    doi.org/10.1002/joc.6443 <-- shared paper
    --
    pik-potsdam.de/en/news/latest- | publications.iom.int/books/eva <-- shared 2021 Peru hydroclimate technical article | report
    --
    youtu.be/Ngbm0gsmYAw?si=haqV7t <-- shared overview video
    --
    #water #GIS #spatial #mappping #spatialanalysis #spatiotemporal #remotesensing #earthobservation #Hydrology #Hydroclimatology #ClimateChange #extremeweather #WaterResources #WaterSecurity uncertainity #SouthAmerica #ClimateData #PeerReview #OpenScience #Hydrometeorology #opendata #datasets #rainfall #precipitation #fluvial #heatwave #temperature #changing #consistency #flood #flooding #drought #riskmanagement #risk #hazard #earthsystems #resilience #waterquality #waterpollution #model #modeling #monitoring #records #hydroclimate #hydrogeomorphology #review #SouthAmerica #planning #policy #sustainability #evapotranspiration #runoff #waterstorage #SAHCD

    #water #gis #spatial #mappping #spatialanalysis #spatiotemporal
  24. 💧🌏 Greg Cocks @[email protected] ·

    Comparative Hydro-Climatic Datasets For Catchment-Wise Linked Water Fluxes And Storage Changes Across South America
    --
    doi.org/10.3389/fenvs.2026.176 <-- shared paper
    --
    doi.org/10.1038/s43247-026-036 <-- shared paper
    --
    doi.org/10.1002/joc.6443 <-- shared paper
    --
    pik-potsdam.de/en/news/latest- | publications.iom.int/books/eva <-- shared 2021 Peru hydroclimate technical article | report
    --
    youtu.be/Ngbm0gsmYAw?si=haqV7t <-- shared overview video
    --
    #water #GIS #spatial #mappping #spatialanalysis #spatiotemporal #remotesensing #earthobservation #Hydrology #Hydroclimatology #ClimateChange #extremeweather #WaterResources #WaterSecurity uncertainity #SouthAmerica #ClimateData #PeerReview #OpenScience #Hydrometeorology #opendata #datasets #rainfall #precipitation #fluvial #heatwave #temperature #changing #consistency #flood #flooding #drought #riskmanagement #risk #hazard #earthsystems #resilience #waterquality #waterpollution #model #modeling #monitoring #records #hydroclimate #hydrogeomorphology #review #SouthAmerica #planning #policy #sustainability #evapotranspiration #runoff #waterstorage #SAHCD

    #sahcd #waterstorage #runoff #evapotranspiration #sustainability #policy
  25. 💧🌏 Greg Cocks @GregCocks ·

    Comparative Hydro-Climatic Datasets For Catchment-Wise Linked Water Fluxes And Storage Changes Across South America
    --
    doi.org/10.3389/fenvs.2026.176 <-- shared paper
    --
    doi.org/10.1038/s43247-026-036 <-- shared paper
    --
    doi.org/10.1002/joc.6443 <-- shared paper
    --
    pik-potsdam.de/en/news/latest- | publications.iom.int/books/eva <-- shared 2021 Peru hydroclimate technical article | report
    --
    youtu.be/Ngbm0gsmYAw?si=haqV7t <-- shared overview video
    --
    uncertainity

    #water #gis #spatial #mappping #spatialanalysis #spatiotemporal
  26. 💧🌏 Greg Cocks @[email protected] ·

    A Stunning Map Of The Atlantic Ocean Seafloor — And One Woman’s Pioneering Quest To Publish It
    --
    The geology of the ocean floor is truly spectacular — perhaps even more than land geology. Unfortunately, it's really hard to study.
    --
    zmescience.com/other/geopictur <-- shared technical article
    --
    en.wikipedia.org/wiki/Marie_Th <-- shared Wikipedia page, Marie Tharp
    --
    marietharp.ldeo.columbia.edu/a <-- shared page about Marie Tharp, Lamont-Doherty Earth Observatory, Columbia University
    --
    youtu.be/gsQGOJtwdv0?si=PQsVzv <-- shared video, “… Why We Celebrate Marie Tharp”
    --
    #spatial mapping #mapmaker #cartographer #MarieTharp #remotesensing #sonar #earthobservation #history #model #modeling #spatialanalysis #geology #seafloor #ocean #marine #oceanfloor #AtlanticOcean #geologist #pioneering #paleoceanographer #marinegeology #OceanSpeaks
    @Women+ in Geospatial | #WomenInGeoscience

    #spatial #mapmaker #cartographer #marietharp #remotesensing #sonar
  27. 💧🌏 Greg Cocks @[email protected] ·

    A Stunning Map Of The Atlantic Ocean Seafloor — And One Woman’s Pioneering Quest To Publish It
    --
    The geology of the ocean floor is truly spectacular — perhaps even more than land geology. Unfortunately, it's really hard to study.
    --
    zmescience.com/other/geopictur <-- shared technical article
    --
    en.wikipedia.org/wiki/Marie_Th <-- shared Wikipedia page, Marie Tharp
    --
    marietharp.ldeo.columbia.edu/a <-- shared page about Marie Tharp, Lamont-Doherty Earth Observatory, Columbia University
    --
    youtu.be/gsQGOJtwdv0?si=PQsVzv <-- shared video, “… Why We Celebrate Marie Tharp”
    --
    #spatial mapping #mapmaker #cartographer #MarieTharp #remotesensing #sonar #earthobservation #history #model #modeling #spatialanalysis #geology #seafloor #ocean #marine #oceanfloor #AtlanticOcean #geologist #pioneering #paleoceanographer #marinegeology #OceanSpeaks
    @Women+ in Geospatial | #WomenInGeoscience

    #spatial #mapmaker #cartographer #marietharp #remotesensing #sonar
  28. 💧🌏 Greg Cocks @[email protected] ·

    A Stunning Map Of The Atlantic Ocean Seafloor — And One Woman’s Pioneering Quest To Publish It
    --
    The geology of the ocean floor is truly spectacular — perhaps even more than land geology. Unfortunately, it's really hard to study.
    --
    zmescience.com/other/geopictur <-- shared technical article
    --
    en.wikipedia.org/wiki/Marie_Th <-- shared Wikipedia page, Marie Tharp
    --
    marietharp.ldeo.columbia.edu/a <-- shared page about Marie Tharp, Lamont-Doherty Earth Observatory, Columbia University
    --
    youtu.be/gsQGOJtwdv0?si=PQsVzv <-- shared video, “… Why We Celebrate Marie Tharp”
    --
    #spatial mapping #mapmaker #cartographer #MarieTharp #remotesensing #sonar #earthobservation #history #model #modeling #spatialanalysis #geology #seafloor #ocean #marine #oceanfloor #AtlanticOcean #geologist #pioneering #paleoceanographer #marinegeology #OceanSpeaks
    @Women+ in Geospatial | #WomenInGeoscience

    #spatial #mapmaker #cartographer #marietharp #remotesensing #sonar
  29. 💧🌏 Greg Cocks @[email protected] ·

    A Stunning Map Of The Atlantic Ocean Seafloor — And One Woman’s Pioneering Quest To Publish It
    --
    The geology of the ocean floor is truly spectacular — perhaps even more than land geology. Unfortunately, it's really hard to study.
    --
    zmescience.com/other/geopictur <-- shared technical article
    --
    en.wikipedia.org/wiki/Marie_Th <-- shared Wikipedia page, Marie Tharp
    --
    marietharp.ldeo.columbia.edu/a <-- shared page about Marie Tharp, Lamont-Doherty Earth Observatory, Columbia University
    --
    youtu.be/gsQGOJtwdv0?si=PQsVzv <-- shared video, “… Why We Celebrate Marie Tharp”
    --
    #spatial mapping #mapmaker #cartographer #MarieTharp #remotesensing #sonar #earthobservation #history #model #modeling #spatialanalysis #geology #seafloor #ocean #marine #oceanfloor #AtlanticOcean #geologist #pioneering #paleoceanographer #marinegeology #OceanSpeaks
    @Women+ in Geospatial | #WomenInGeoscience

    #womeningeoscience #oceanspeaks #marinegeology #paleoceanographer #pioneering #geologist
  30. 💧🌏 Greg Cocks @GregCocks ·

    A Stunning Map Of The Atlantic Ocean Seafloor — And One Woman’s Pioneering Quest To Publish It
    --
    The geology of the ocean floor is truly spectacular — perhaps even more than land geology. Unfortunately, it's really hard to study.
    --
    zmescience.com/other/geopictur <-- shared technical article
    --
    en.wikipedia.org/wiki/Marie_Th <-- shared Wikipedia page, Marie Tharp
    --
    marietharp.ldeo.columbia.edu/a <-- shared page about Marie Tharp, Lamont-Doherty Earth Observatory, Columbia University
    --
    youtu.be/gsQGOJtwdv0?si=PQsVzv <-- shared video, “… Why We Celebrate Marie Tharp”
    --
    mapping
    @Women+ in Geospatial |

    #spatial #mapmaker #cartographer #marietharp #remotesensing #sonar
  31. 💧🌏 Greg Cocks @[email protected] ·

    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

    #gis #spatial #mapping #britishcolumbia #bc #solar
  32. 💧🌏 Greg Cocks @[email protected] ·

    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

    #gis #spatial #mapping #britishcolumbia #bc #solar
  33. 💧🌏 Greg Cocks @[email protected] ·

    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

    #gis #spatial #mapping #britishcolumbia #bc #solar
  34. 💧🌏 Greg Cocks @[email protected] ·

    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

    #hazard #risk #monitoring #hydropower #hep #anthropogenic
  35. 💧🌏 Greg Cocks @GregCocks ·

    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
  36. Copernicus EU @[email protected] ·

    RT @SurfaceTempUoL: Here’s our almost cloud-free image for Thursday 11th August 2022 during the UK’s second #heatwave 🌡. Showing #landsurfacetemperature (in Celsius) at 10.30 UTC from #SLSTR on #Sentinel3 🛰. Produced with @NCEOscience @esaclimate @CopernicusEU #EarthObservation 🌎

    🐦🔗: nitter.eu/CopernicusEU/status/

    #earthobservation #sentinel3 #slstr #landsurfacetemperature #heatwave