#geoscience — Public Fediverse posts
Live and recent posts from across the Fediverse tagged #geoscience, aggregated by home.social.
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🔥 The Green Illusion: Why Zoning-Level Analysis Changes the Picture
📊 Gross community statistics can be misleading. When measuring an entire neighborhood, large municipal parks and green buffers inflate the overall 'greenness' score.
❗ When we filter the data down exclusively to actual Residential Land Use Districts in established communities, the picture changes significant:
🔹 Unvegetated/Impervious surfaces (Solid) explode to ~80% (79.22%) of the total zoned area.
🔹 Vegetative classes collapse: Functional lawns and canopy cover are compressed into narrow margins (Lawn: 2.15%, Forest: 0.59%), with community-level sparsed trees (Park) accounting for only 17.87%.☝️ Moving from macro-boundaries to parcel-level zoning exposes the true physical density of Calgary’s residential footprint.
#GIS #RemoteSensing #EarthObservation #Calgary #SpatialDataScience #LandCover #MachineLearning #Geoscience #GreennessOfCalgary #Rstats #YYC #DataScience #Urban #Sentinel
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🔥 The Green Illusion: Why Zoning-Level Analysis Changes the Picture
📊 Gross community statistics can be misleading. When measuring an entire neighborhood, large municipal parks and green buffers inflate the overall 'greenness' score.
❗ When we filter the data down exclusively to actual Residential Land Use Districts in established communities, the picture changes significant:
🔹 Unvegetated/Impervious surfaces (Solid) explode to ~80% (79.22%) of the total zoned area.
🔹 Vegetative classes collapse: Functional lawns and canopy cover are compressed into narrow margins (Lawn: 2.15%, Forest: 0.59%), with community-level sparsed trees (Park) accounting for only 17.87%.☝️ Moving from macro-boundaries to parcel-level zoning exposes the true physical density of Calgary’s residential footprint.
#GIS #RemoteSensing #EarthObservation #Calgary #SpatialDataScience #LandCover #MachineLearning #Geoscience #GreennessOfCalgary #Rstats #YYC #DataScience #Urban #Sentinel
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🔥 The Green Illusion: Why Zoning-Level Analysis Changes the Picture
📊 Gross community statistics can be misleading. When measuring an entire neighborhood, large municipal parks and green buffers inflate the overall 'greenness' score.
❗ When we filter the data down exclusively to actual Residential Land Use Districts in established communities, the picture changes significant:
🔹 Unvegetated/Impervious surfaces (Solid) explode to ~80% (79.22%) of the total zoned area.
🔹 Vegetative classes collapse: Functional lawns and canopy cover are compressed into narrow margins (Lawn: 2.15%, Forest: 0.59%), with community-level sparsed trees (Park) accounting for only 17.87%.☝️ Moving from macro-boundaries to parcel-level zoning exposes the true physical density of Calgary’s residential footprint.
#GIS #RemoteSensing #EarthObservation #Calgary #SpatialDataScience #LandCover #MachineLearning #Geoscience #GreennessOfCalgary #Rstats #YYC #DataScience #Urban #Sentinel
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🔥 The Green Illusion: Why Zoning-Level Analysis Changes the Picture
📊 Gross community statistics can be misleading. When measuring an entire neighborhood, large municipal parks and green buffers inflate the overall 'greenness' score.
❗ When we filter the data down exclusively to actual Residential Land Use Districts in established communities, the picture changes significant:
🔹 Unvegetated/Impervious surfaces (Solid) explode to ~80% (79.22%) of the total zoned area.
🔹 Vegetative classes collapse: Functional lawns and canopy cover are compressed into narrow margins (Lawn: 2.15%, Forest: 0.59%), with community-level sparsed trees (Park) accounting for only 17.87%.☝️ Moving from macro-boundaries to parcel-level zoning exposes the true physical density of Calgary’s residential footprint.
#GIS #RemoteSensing #EarthObservation #Calgary #SpatialDataScience #LandCover #MachineLearning #Geoscience #GreennessOfCalgary #Rstats #YYC #DataScience #Urban #Sentinel
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🔥 The Green Illusion: Why Zoning-Level Analysis Changes the Picture
📊 Gross community statistics can be misleading. When measuring an entire neighborhood, large municipal parks and green buffers inflate the overall 'greenness' score.
❗ When we filter the data down exclusively to actual Residential Land Use Districts in established communities, the picture changes significant:
🔹 Unvegetated/Impervious surfaces (Solid) explode to ~80% (79.22%) of the total zoned area.
🔹 Vegetative classes collapse: Functional lawns and canopy cover are compressed into narrow margins (Lawn: 2.15%, Forest: 0.59%), with community-level sparsed trees (Park) accounting for only 17.87%.☝️ Moving from macro-boundaries to parcel-level zoning exposes the true physical density of Calgary’s residential footprint.
#GIS #RemoteSensing #EarthObservation #Calgary #SpatialDataScience #LandCover #MachineLearning #Geoscience #GreennessOfCalgary #Rstats #YYC #DataScience #Urban #Sentinel
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The oldest known rock from Mars was discovered on Earth in 2022. Scientists are beginning to reveal its mysteries.
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The oldest known rock from Mars was discovered on Earth in 2022. Scientists are beginning to reveal its mysteries.
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The oldest known rock from Mars was discovered on Earth in 2022. Scientists are beginning to reveal its mysteries.
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The oldest known rock from Mars was discovered on Earth in 2022. Scientists are beginning to reveal its mysteries.
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The oldest known rock from Mars was discovered on Earth in 2022. Scientists are beginning to reveal its mysteries.
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Just formally registered for #INQUA 2027 in Lucknow, #India - very much looking forward to this conference! Anyone here who's going to be there? https://www.inquaindia2027.in/ #geoscience #inqua2027
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Just formally registered for #INQUA 2027 in Lucknow, #India - very much looking forward to this conference! Anyone here who's going to be there? https://www.inquaindia2027.in/ #geoscience #inqua2027
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Just formally registered for #INQUA 2027 in Lucknow, #India - very much looking forward to this conference! Anyone here who's going to be there? https://www.inquaindia2027.in/ #geoscience #inqua2027
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Just formally registered for #INQUA 2027 in Lucknow, #India - very much looking forward to this conference! Anyone here who's going to be there? https://www.inquaindia2027.in/ #geoscience #inqua2027
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Just formally registered for #INQUA 2027 in Lucknow, #India - very much looking forward to this conference! Anyone here who's going to be there? https://www.inquaindia2027.in/ #geoscience #inqua2027
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How does physical vegetation compare to administrative park maps?
In a new article by LiveWire Calgary, I shared technical insights from my 10-meter machine learning land cover classification model.
🛰️ Satellites map physical ground reality, not property boundaries. Multispectral land cover data reveals continuous fine fuel pathways (grass, brush, and canopy) extending across unmanaged ravines and private lots right up to residential property lines at Calgary's Wildland-Urban Interface.
🔗 Read the full article: https://livewirecalgary.com/2026/08/06/calgary-wildfire-campaign-high-risk-areas-map-gaps/
#GIS #RemoteSensing #EarthObservation #Calgary #SpatialDataScience #LandCover #WUI #MachineLearning #Geoscience #GreennessOfCalgary #LiveWireCalgary
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How does physical vegetation compare to administrative park maps?
In a new article by LiveWire Calgary, I shared technical insights from my 10-meter machine learning land cover classification model.
🛰️ Satellites map physical ground reality, not property boundaries. Multispectral land cover data reveals continuous fine fuel pathways (grass, brush, and canopy) extending across unmanaged ravines and private lots right up to residential property lines at Calgary's Wildland-Urban Interface.
🔗 Read the full article: https://livewirecalgary.com/2026/08/06/calgary-wildfire-campaign-high-risk-areas-map-gaps/
#GIS #RemoteSensing #EarthObservation #Calgary #SpatialDataScience #LandCover #WUI #MachineLearning #Geoscience #GreennessOfCalgary #LiveWireCalgary
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How does physical vegetation compare to administrative park maps?
In a new article by LiveWire Calgary, I shared technical insights from my 10-meter machine learning land cover classification model.
🛰️ Satellites map physical ground reality, not property boundaries. Multispectral land cover data reveals continuous fine fuel pathways (grass, brush, and canopy) extending across unmanaged ravines and private lots right up to residential property lines at Calgary's Wildland-Urban Interface.
🔗 Read the full article: https://livewirecalgary.com/2026/08/06/calgary-wildfire-campaign-high-risk-areas-map-gaps/
#GIS #RemoteSensing #EarthObservation #Calgary #SpatialDataScience #LandCover #WUI #MachineLearning #Geoscience #GreennessOfCalgary #LiveWireCalgary
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How does physical vegetation compare to administrative park maps?
In a new article by LiveWire Calgary, I shared technical insights from my 10-meter machine learning land cover classification model.
🛰️ Satellites map physical ground reality, not property boundaries. Multispectral land cover data reveals continuous fine fuel pathways (grass, brush, and canopy) extending across unmanaged ravines and private lots right up to residential property lines at Calgary's Wildland-Urban Interface.
🔗 Read the full article: https://livewirecalgary.com/2026/08/06/calgary-wildfire-campaign-high-risk-areas-map-gaps/
#GIS #RemoteSensing #EarthObservation #Calgary #SpatialDataScience #LandCover #WUI #MachineLearning #Geoscience #GreennessOfCalgary #LiveWireCalgary
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Added 25 mg/L Silicon (Si) and 5 mg/L Aluminium (Al) to the hydrogeochemical baseline of the Svystunova Gully mine water impoundment, modeling clay mineral phase equilibria using RedModRphree + PHREEQC (Thermoddem database, T = 12°C).
Key thermodynamic outcome (pe–pH diagrams across pH 2–10):
The solid-phase stability field is completely dominated by Beidellite(Na) and acidic forms of montmorillonite (Hmontmorillonite).#Geochemistry #Hydrogeology #PHREEQC #ThermodynamicModeling #EnvironmentalDataScience #Rstats #Geoscience #ClayMineralogy #SvystunovaGully
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Added 25 mg/L Silicon (Si) and 5 mg/L Aluminium (Al) to the hydrogeochemical baseline of the Svystunova Gully mine water impoundment, modeling clay mineral phase equilibria using RedModRphree + PHREEQC (Thermoddem database, T = 12°C).
Key thermodynamic outcome (pe–pH diagrams across pH 2–10):
The solid-phase stability field is completely dominated by Beidellite(Na) and acidic forms of montmorillonite (Hmontmorillonite).#Geochemistry #Hydrogeology #PHREEQC #ThermodynamicModeling #EnvironmentalDataScience #Rstats #Geoscience #ClayMineralogy #SvystunovaGully
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Added 25 mg/L Silicon (Si) and 5 mg/L Aluminium (Al) to the hydrogeochemical baseline of the Svystunova Gully mine water impoundment, modeling clay mineral phase equilibria using RedModRphree + PHREEQC (Thermoddem database, T = 12°C).
Key thermodynamic outcome (pe–pH diagrams across pH 2–10):
The solid-phase stability field is completely dominated by Beidellite(Na) and acidic forms of montmorillonite (Hmontmorillonite).#Geochemistry #Hydrogeology #PHREEQC #ThermodynamicModeling #EnvironmentalDataScience #Rstats #Geoscience #ClayMineralogy #SvystunovaGully
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Added 25 mg/L Silicon (Si) and 5 mg/L Aluminium (Al) to the hydrogeochemical baseline of the Svystunova Gully mine water impoundment, modeling clay mineral phase equilibria using RedModRphree + PHREEQC (Thermoddem database, T = 12°C).
Key thermodynamic outcome (pe–pH diagrams across pH 2–10):
The solid-phase stability field is completely dominated by Beidellite(Na) and acidic forms of montmorillonite (Hmontmorillonite).#Geochemistry #Hydrogeology #PHREEQC #ThermodynamicModeling #EnvironmentalDataScience #Rstats #Geoscience #ClayMineralogy #SvystunovaGully
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Added 25 mg/L Silicon (Si) and 5 mg/L Aluminium (Al) to the hydrogeochemical baseline of the Svystunova Gully mine water impoundment, modeling clay mineral phase equilibria using RedModRphree + PHREEQC (Thermoddem database, T = 12°C).
Key thermodynamic outcome (pe–pH diagrams across pH 2–10):
The solid-phase stability field is completely dominated by Beidellite(Na) and acidic forms of montmorillonite (Hmontmorillonite).#Geochemistry #Hydrogeology #PHREEQC #ThermodynamicModeling #EnvironmentalDataScience #Rstats #Geoscience #ClayMineralogy #SvystunovaGully
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📉 Comparing the Solid-to-Tree Ratio with the Land Surface Temperature (LST) data obtained in the previous phase of the study allows for a visual assessment of the relationship between surface sealing and summer surface heating across Calgary’s residential communities.
🔥 The plot reveals a strong pattern for the vast majority of communities: a sharp increase in temperature occurs within the ratio range of 0 to 5. The Downtown Commercial Core stands out as a distinct outlier, where low LST values are driven by deep geometric shading from high-rise buildings. Additionally, neighborhoods such as Manchester, Seton, Redstone, Beltline, and Rangeview, among a few others, slightly diverge from the main trend.
📊 Full methodology and additional charts via the link:👇
https://www.datastory.org.ua/calgarys-microclimatic-anatomy-what-lies-beneath-the-citys-green-appearance/#Calgary #OpenData #UrbanHeat #DataScience #ClimateResilience #YYC #Geoscience #CityPlanning #RemoteSensing #RStats #MachineLearning #GreennessOfCalgary
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📉 Comparing the Solid-to-Tree Ratio with the Land Surface Temperature (LST) data obtained in the previous phase of the study allows for a visual assessment of the relationship between surface sealing and summer surface heating across Calgary’s residential communities.
🔥 The plot reveals a strong pattern for the vast majority of communities: a sharp increase in temperature occurs within the ratio range of 0 to 5. The Downtown Commercial Core stands out as a distinct outlier, where low LST values are driven by deep geometric shading from high-rise buildings. Additionally, neighborhoods such as Manchester, Seton, Redstone, Beltline, and Rangeview, among a few others, slightly diverge from the main trend.
📊 Full methodology and additional charts via the link:👇
https://www.datastory.org.ua/calgarys-microclimatic-anatomy-what-lies-beneath-the-citys-green-appearance/#Calgary #OpenData #UrbanHeat #DataScience #ClimateResilience #YYC #Geoscience #CityPlanning #RemoteSensing #RStats #MachineLearning #GreennessOfCalgary
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📉 Comparing the Solid-to-Tree Ratio with the Land Surface Temperature (LST) data obtained in the previous phase of the study allows for a visual assessment of the relationship between surface sealing and summer surface heating across Calgary’s residential communities.
🔥 The plot reveals a strong pattern for the vast majority of communities: a sharp increase in temperature occurs within the ratio range of 0 to 5. The Downtown Commercial Core stands out as a distinct outlier, where low LST values are driven by deep geometric shading from high-rise buildings. Additionally, neighborhoods such as Manchester, Seton, Redstone, Beltline, and Rangeview, among a few others, slightly diverge from the main trend.
📊 Full methodology and additional charts via the link:👇
https://www.datastory.org.ua/calgarys-microclimatic-anatomy-what-lies-beneath-the-citys-green-appearance/#Calgary #OpenData #UrbanHeat #DataScience #ClimateResilience #YYC #Geoscience #CityPlanning #RemoteSensing #RStats #MachineLearning #GreennessOfCalgary
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📉 Comparing the Solid-to-Tree Ratio with the Land Surface Temperature (LST) data obtained in the previous phase of the study allows for a visual assessment of the relationship between surface sealing and summer surface heating across Calgary’s residential communities.
🔥 The plot reveals a strong pattern for the vast majority of communities: a sharp increase in temperature occurs within the ratio range of 0 to 5. The Downtown Commercial Core stands out as a distinct outlier, where low LST values are driven by deep geometric shading from high-rise buildings. Additionally, neighborhoods such as Manchester, Seton, Redstone, Beltline, and Rangeview, among a few others, slightly diverge from the main trend.
📊 Full methodology and additional charts via the link:👇
https://www.datastory.org.ua/calgarys-microclimatic-anatomy-what-lies-beneath-the-citys-green-appearance/#Calgary #OpenData #UrbanHeat #DataScience #ClimateResilience #YYC #Geoscience #CityPlanning #RemoteSensing #RStats #MachineLearning #GreennessOfCalgary
-
📉 Comparing the Solid-to-Tree Ratio with the Land Surface Temperature (LST) data obtained in the previous phase of the study allows for a visual assessment of the relationship between surface sealing and summer surface heating across Calgary’s residential communities.
🔥 The plot reveals a strong pattern for the vast majority of communities: a sharp increase in temperature occurs within the ratio range of 0 to 5. The Downtown Commercial Core stands out as a distinct outlier, where low LST values are driven by deep geometric shading from high-rise buildings. Additionally, neighborhoods such as Manchester, Seton, Redstone, Beltline, and Rangeview, among a few others, slightly diverge from the main trend.
📊 Full methodology and additional charts via the link:👇
https://www.datastory.org.ua/calgarys-microclimatic-anatomy-what-lies-beneath-the-citys-green-appearance/#Calgary #OpenData #UrbanHeat #DataScience #ClimateResilience #YYC #Geoscience #CityPlanning #RemoteSensing #RStats #MachineLearning #GreennessOfCalgary
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Remember when the slowing rotation of the Earth hiccupped for a couple of years?
“This was deeply unexpected. #GeoScience had assumed that the large-scale flow of Earth's outer core was more or less stable and consistent. This finding suggests that there are processes that can influence it strongly enough to alter its behavior in bulk – and that our planet's interior may be more dynamic and variable than we thought.
“What could have caused the sudden change is not known for sure, but other measurements from around the same time suggest something big was happening around 2010.”
https://www.sciencealert.com/something-made-earths-molten-core-reverse-direction-in-2010
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Remember when the slowing rotation of the Earth hiccupped for a couple of years?
“This was deeply unexpected. #GeoScience had assumed that the large-scale flow of Earth's outer core was more or less stable and consistent. This finding suggests that there are processes that can influence it strongly enough to alter its behavior in bulk – and that our planet's interior may be more dynamic and variable than we thought.
“What could have caused the sudden change is not known for sure, but other measurements from around the same time suggest something big was happening around 2010.”
https://www.sciencealert.com/something-made-earths-molten-core-reverse-direction-in-2010
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Remember when the slowing rotation of the Earth hiccupped for a couple of years?
“This was deeply unexpected. #GeoScience had assumed that the large-scale flow of Earth's outer core was more or less stable and consistent. This finding suggests that there are processes that can influence it strongly enough to alter its behavior in bulk – and that our planet's interior may be more dynamic and variable than we thought.
“What could have caused the sudden change is not known for sure, but other measurements from around the same time suggest something big was happening around 2010.”
https://www.sciencealert.com/something-made-earths-molten-core-reverse-direction-in-2010
-
Remember when the slowing rotation of the Earth hiccupped for a couple of years?
“This was deeply unexpected. #GeoScience had assumed that the large-scale flow of Earth's outer core was more or less stable and consistent. This finding suggests that there are processes that can influence it strongly enough to alter its behavior in bulk – and that our planet's interior may be more dynamic and variable than we thought.
“What could have caused the sudden change is not known for sure, but other measurements from around the same time suggest something big was happening around 2010.”
https://www.sciencealert.com/something-made-earths-molten-core-reverse-direction-in-2010
-
Remember when the slowing rotation of the Earth hiccupped for a couple of years?
“This was deeply unexpected. #GeoScience had assumed that the large-scale flow of Earth's outer core was more or less stable and consistent. This finding suggests that there are processes that can influence it strongly enough to alter its behavior in bulk – and that our planet's interior may be more dynamic and variable than we thought.
“What could have caused the sudden change is not known for sure, but other measurements from around the same time suggest something big was happening around 2010.”
https://www.sciencealert.com/something-made-earths-molten-core-reverse-direction-in-2010
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🔥 It looks like it's time to lock in the current version of the machine learning model (LULC v.6.0). Validation results on an independent test dataset (Confusion Matrix) demonstrate the excellent predictive power of the algorithm:
🔹 Overall Accuracy: 98.29% (95% CI: 98.16% – 98.41%) with a No Information Rate = 60.28% (p-value < 2.2e-16).
🔹 Cohen’s Kappa: 0.9691, confirming high classification reliability even with severe class imbalance.
The model shows a very low error rate for non-vegetated areas (Solid, Balanced Accuracy 99.72%) and water bodies (Water, 99.75%), but expectedly faces challenges at the boundaries between the Lawn (open grass) and Park (sparse trees) classes.
Currently, I am moving on to an advanced analysis of the drivers shaping Urban Heat Islands (UHI) in Calgary and preparing a publication for my website. Stay tuned for updates!
#Calgary #OpenData #UrbanHeat #DataScience #ClimateResilience #YYC #Geoscience #CityPlanning #RemoteSensing #RStats #MachineLearning #GreennessOfCalgary -
🔥 It looks like it's time to lock in the current version of the machine learning model (LULC v.6.0). Validation results on an independent test dataset (Confusion Matrix) demonstrate the excellent predictive power of the algorithm:
🔹 Overall Accuracy: 98.29% (95% CI: 98.16% – 98.41%) with a No Information Rate = 60.28% (p-value < 2.2e-16).
🔹 Cohen’s Kappa: 0.9691, confirming high classification reliability even with severe class imbalance.
The model shows a very low error rate for non-vegetated areas (Solid, Balanced Accuracy 99.72%) and water bodies (Water, 99.75%), but expectedly faces challenges at the boundaries between the Lawn (open grass) and Park (sparse trees) classes.
Currently, I am moving on to an advanced analysis of the drivers shaping Urban Heat Islands (UHI) in Calgary and preparing a publication for my website. Stay tuned for updates!
#Calgary #OpenData #UrbanHeat #DataScience #ClimateResilience #YYC #Geoscience #CityPlanning #RemoteSensing #RStats #MachineLearning #GreennessOfCalgary -
🔥 It looks like it's time to lock in the current version of the machine learning model (LULC v.6.0). Validation results on an independent test dataset (Confusion Matrix) demonstrate the excellent predictive power of the algorithm:
🔹 Overall Accuracy: 98.29% (95% CI: 98.16% – 98.41%) with a No Information Rate = 60.28% (p-value < 2.2e-16).
🔹 Cohen’s Kappa: 0.9691, confirming high classification reliability even with severe class imbalance.
The model shows a very low error rate for non-vegetated areas (Solid, Balanced Accuracy 99.72%) and water bodies (Water, 99.75%), but expectedly faces challenges at the boundaries between the Lawn (open grass) and Park (sparse trees) classes.
Currently, I am moving on to an advanced analysis of the drivers shaping Urban Heat Islands (UHI) in Calgary and preparing a publication for my website. Stay tuned for updates!
#Calgary #OpenData #UrbanHeat #DataScience #ClimateResilience #YYC #Geoscience #CityPlanning #RemoteSensing #RStats #MachineLearning #GreennessOfCalgary -
🔥 It looks like it's time to lock in the current version of the machine learning model (LULC v.6.0). Validation results on an independent test dataset (Confusion Matrix) demonstrate the excellent predictive power of the algorithm:
🔹 Overall Accuracy: 98.29% (95% CI: 98.16% – 98.41%) with a No Information Rate = 60.28% (p-value < 2.2e-16).
🔹 Cohen’s Kappa: 0.9691, confirming high classification reliability even with severe class imbalance.
The model shows a very low error rate for non-vegetated areas (Solid, Balanced Accuracy 99.72%) and water bodies (Water, 99.75%), but expectedly faces challenges at the boundaries between the Lawn (open grass) and Park (sparse trees) classes.
Currently, I am moving on to an advanced analysis of the drivers shaping Urban Heat Islands (UHI) in Calgary and preparing a publication for my website. Stay tuned for updates!
#Calgary #OpenData #UrbanHeat #DataScience #ClimateResilience #YYC #Geoscience #CityPlanning #RemoteSensing #RStats #MachineLearning #GreennessOfCalgary -
🔥 It looks like it's time to lock in the current version of the machine learning model (LULC v.6.0). Validation results on an independent test dataset (Confusion Matrix) demonstrate the excellent predictive power of the algorithm:
🔹 Overall Accuracy: 98.29% (95% CI: 98.16% – 98.41%) with a No Information Rate = 60.28% (p-value < 2.2e-16).
🔹 Cohen’s Kappa: 0.9691, confirming high classification reliability even with severe class imbalance.
The model shows a very low error rate for non-vegetated areas (Solid, Balanced Accuracy 99.72%) and water bodies (Water, 99.75%), but expectedly faces challenges at the boundaries between the Lawn (open grass) and Park (sparse trees) classes.
Currently, I am moving on to an advanced analysis of the drivers shaping Urban Heat Islands (UHI) in Calgary and preparing a publication for my website. Stay tuned for updates!
#Calgary #OpenData #UrbanHeat #DataScience #ClimateResilience #YYC #Geoscience #CityPlanning #RemoteSensing #RStats #MachineLearning #GreennessOfCalgary -
Great to see someone identified as a geomorphologist in the news - and a female too!
#geomorphology #geoscience #geography #geology
www.bbc.co.uk/news/article...
Tyrella beach: How beachgoers ... -
Great to see someone identified as a geomorphologist in the news - and a female too!
#geomorphology #geoscience #geography #geology
www.bbc.co.uk/news/article...
Tyrella beach: How beachgoers ... -
Great to see someone identified as a geomorphologist in the news - and a female too!
#geomorphology #geoscience #geography #geology
www.bbc.co.uk/news/article...
Tyrella beach: How beachgoers ... -
Great to see someone identified as a geomorphologist in the news - and a female too!
#geomorphology #geoscience #geography #geology
www.bbc.co.uk/news/article...
Tyrella beach: How beachgoers ... -
Great to see someone identified as a geomorphologist in the news - and a female too!
#geomorphology #geoscience #geography #geology
www.bbc.co.uk/news/article...
Tyrella beach: How beachgoers ... -
Last week, I had the pleasure of presenting my work on large-scale wellfield visualization at the 37th Eurographics Symposium on Rendering.
The technique describes how to visualize large amount of geological data using implicit surfaces, reducing memory consumption by up to two orders of magnitude. Although developed for #geoscience, it can be applied across various fields such as medical data visualization, materials science, or fluid mechanics.
You can find my paper here:
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Through extensive #outreach work, Petr Brož noticed a reccuring issue: although curiosity about volcanoes and earthquakes is high teachers often lack simple classroom #experiments to demonstrate these processes.
🧵Read more about the open-access Almanac of #geoscience experiments: https://egu.eu/9GM9LV
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Through extensive #outreach work, Petr Brož noticed a reccuring issue: although curiosity about volcanoes and earthquakes is high teachers often lack simple classroom #experiments to demonstrate these processes.
🧵Read more about the open-access Almanac of #geoscience experiments: https://egu.eu/9GM9LV
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Through extensive #outreach work, Petr Brož noticed a reccuring issue: although curiosity about volcanoes and earthquakes is high teachers often lack simple classroom #experiments to demonstrate these processes.
🧵Read more about the open-access Almanac of #geoscience experiments: https://egu.eu/9GM9LV
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Through extensive #outreach work, Petr Brož noticed a reccuring issue: although curiosity about volcanoes and earthquakes is high teachers often lack simple classroom #experiments to demonstrate these processes.
🧵Read more about the open-access Almanac of #geoscience experiments: https://egu.eu/9GM9LV
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Through extensive #outreach work, Petr Brož noticed a reccuring issue: although curiosity about volcanoes and earthquakes is high teachers often lack simple classroom #experiments to demonstrate these processes.
🧵Read more about the open-access Almanac of #geoscience experiments: https://egu.eu/9GM9LV
