#greennessofcalgary — Public Fediverse posts

Honored to share that my spatial analytics research has been featured as an official Success Story on The City of Calgary’s Open Data Portal.

The feature highlights how open municipal datasets can be combined with remote sensing data to evaluate urban heat islands, land cover composition, and microclimate dynamics across Calgary neighbourhoods.

Key aspects of the project:
🔹 Processing multi-spectral satellite imagery to model surface temperature (LST) and vegetation dynamics.
🔹 Translating complex spatial data into accessible, decision-ready insights for climate resilience and urban planning.
🔹 Demonstrating the practical impact of open data in civic-focused research.

A sincere thank you to The City of Calgary Open Data team for recognizing this work and highlighting the value of turning raw open data into actionable insights.

Read the full story here: https://www.calgary.ca/research/open-data/articles/where-data-meets-sustainability.html

#GIS #SpatialData #RemoteSensing #OpenData #Calgary #ClimateResilience #DataScience #UrbanPlanning #GreennessOfCalgary

Honored to share that my spatial analytics research has been featured as an official Success Story on The City of Calgary’s Open Data Portal.

The feature highlights how open municipal datasets can be combined with remote sensing data to evaluate urban heat islands, land cover composition, and microclimate dynamics across Calgary neighbourhoods.

Key aspects of the project:
🔹 Processing multi-spectral satellite imagery to model surface temperature (LST) and vegetation dynamics.
🔹 Translating complex spatial data into accessible, decision-ready insights for climate resilience and urban planning.
🔹 Demonstrating the practical impact of open data in civic-focused research.

A sincere thank you to The City of Calgary Open Data team for recognizing this work and highlighting the value of turning raw open data into actionable insights.

Read the full story here: https://www.calgary.ca/research/open-data/articles/where-data-meets-sustainability.html

#GIS #SpatialData #RemoteSensing #OpenData #Calgary #ClimateResilience #DataScience #UrbanPlanning #GreennessOfCalgary

Honored to share that my spatial analytics research has been featured as an official Success Story on The City of Calgary’s Open Data Portal.

The feature highlights how open municipal datasets can be combined with remote sensing data to evaluate urban heat islands, land cover composition, and microclimate dynamics across Calgary neighbourhoods.

Key aspects of the project:
🔹 Processing multi-spectral satellite imagery to model surface temperature (LST) and vegetation dynamics.
🔹 Translating complex spatial data into accessible, decision-ready insights for climate resilience and urban planning.
🔹 Demonstrating the practical impact of open data in civic-focused research.

A sincere thank you to The City of Calgary Open Data team for recognizing this work and highlighting the value of turning raw open data into actionable insights.

Read the full story here: https://www.calgary.ca/research/open-data/articles/where-data-meets-sustainability.html

#GIS #SpatialData #RemoteSensing #OpenData #Calgary #ClimateResilience #DataScience #UrbanPlanning #GreennessOfCalgary

Honored to share that my spatial analytics research has been featured as an official Success Story on The City of Calgary’s Open Data Portal.

The feature highlights how open municipal datasets can be combined with remote sensing data to evaluate urban heat islands, land cover composition, and microclimate dynamics across Calgary neighbourhoods.

Key aspects of the project:
🔹 Processing multi-spectral satellite imagery to model surface temperature (LST) and vegetation dynamics.
🔹 Translating complex spatial data into accessible, decision-ready insights for climate resilience and urban planning.
🔹 Demonstrating the practical impact of open data in civic-focused research.

A sincere thank you to The City of Calgary Open Data team for recognizing this work and highlighting the value of turning raw open data into actionable insights.

Read the full story here: https://www.calgary.ca/research/open-data/articles/where-data-meets-sustainability.html

#GIS #SpatialData #RemoteSensing #OpenData #Calgary #ClimateResilience #DataScience #UrbanPlanning #GreennessOfCalgary

Honored to share that my spatial analytics research has been featured as an official Success Story on The City of Calgary’s Open Data Portal.

The feature highlights how open municipal datasets can be combined with remote sensing data to evaluate urban heat islands, land cover composition, and microclimate dynamics across Calgary neighbourhoods.

Key aspects of the project:
🔹 Processing multi-spectral satellite imagery to model surface temperature (LST) and vegetation dynamics.
🔹 Translating complex spatial data into accessible, decision-ready insights for climate resilience and urban planning.
🔹 Demonstrating the practical impact of open data in civic-focused research.

A sincere thank you to The City of Calgary Open Data team for recognizing this work and highlighting the value of turning raw open data into actionable insights.

Read the full story here: https://www.calgary.ca/research/open-data/articles/where-data-meets-sustainability.html

#GIS #SpatialData #RemoteSensing #OpenData #Calgary #ClimateResilience #DataScience #UrbanPlanning #GreennessOfCalgary

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

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

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

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

📈 Imperviousness vs. Temperature: Calgary's Primary Thermodynamic Trend

Mapping 313 Calgary communities reveals a linear relationship between % impervious surface area (Random Forest model on Summer 2025 Sentinel-1/2 & Landsat 8/9) and Land Surface Temperature (LST).

📊 Key Data Points:
• Cool Pole (<28°C, 0–15% impervious): Glenmore Park, Fish Creek (water & mature canopy).
• Hot Pole (37–40°C, 85–95% impervious): Industrial (Franklin, Foothills) & residential (Marlborough, Rundle).
• Thermal Slope: Every +10% impervious cover adds +1.2°C to +1.5°C to LST.

🔬 Variance Drivers:
Material albedo, building geometry (shading), topography, and canopy vs. lawn structure.

💡 Takeaway:
Impervious cover is the dominant microclimate driver. Urban planning—road width, building footprint, and canopy retention—is direct thermodynamic engineering.

#Calgary #YYC #GIS #RemoteSensing #RStats #DataScience #UrbanHeat #CityPlanning #Microclimate #GreennessOfCalgary

📈 Imperviousness vs. Temperature: Calgary's Primary Thermodynamic Trend

Mapping 313 Calgary communities reveals a linear relationship between % impervious surface area (Random Forest model on Summer 2025 Sentinel-1/2 & Landsat 8/9) and Land Surface Temperature (LST).

📊 Key Data Points:
• Cool Pole (<28°C, 0–15% impervious): Glenmore Park, Fish Creek (water & mature canopy).
• Hot Pole (37–40°C, 85–95% impervious): Industrial (Franklin, Foothills) & residential (Marlborough, Rundle).
• Thermal Slope: Every +10% impervious cover adds +1.2°C to +1.5°C to LST.

🔬 Variance Drivers:
Material albedo, building geometry (shading), topography, and canopy vs. lawn structure.

💡 Takeaway:
Impervious cover is the dominant microclimate driver. Urban planning—road width, building footprint, and canopy retention—is direct thermodynamic engineering.

#Calgary #YYC #GIS #RemoteSensing #RStats #DataScience #UrbanHeat #CityPlanning #Microclimate #GreennessOfCalgary

📈 Imperviousness vs. Temperature: Calgary's Primary Thermodynamic Trend

Mapping 313 Calgary communities reveals a linear relationship between % impervious surface area (Random Forest model on Summer 2025 Sentinel-1/2 & Landsat 8/9) and Land Surface Temperature (LST).

📊 Key Data Points:
• Cool Pole (<28°C, 0–15% impervious): Glenmore Park, Fish Creek (water & mature canopy).
• Hot Pole (37–40°C, 85–95% impervious): Industrial (Franklin, Foothills) & residential (Marlborough, Rundle).
• Thermal Slope: Every +10% impervious cover adds +1.2°C to +1.5°C to LST.

🔬 Variance Drivers:
Material albedo, building geometry (shading), topography, and canopy vs. lawn structure.

💡 Takeaway:
Impervious cover is the dominant microclimate driver. Urban planning—road width, building footprint, and canopy retention—is direct thermodynamic engineering.

#Calgary #YYC #GIS #RemoteSensing #RStats #DataScience #UrbanHeat #CityPlanning #Microclimate #GreennessOfCalgary

📈 Imperviousness vs. Temperature: Calgary's Primary Thermodynamic Trend

Mapping 313 Calgary communities reveals a linear relationship between % impervious surface area (Random Forest model on Summer 2025 Sentinel-1/2 & Landsat 8/9) and Land Surface Temperature (LST).

📊 Key Data Points:
• Cool Pole (<28°C, 0–15% impervious): Glenmore Park, Fish Creek (water & mature canopy).
• Hot Pole (37–40°C, 85–95% impervious): Industrial (Franklin, Foothills) & residential (Marlborough, Rundle).
• Thermal Slope: Every +10% impervious cover adds +1.2°C to +1.5°C to LST.

🔬 Variance Drivers:
Material albedo, building geometry (shading), topography, and canopy vs. lawn structure.

💡 Takeaway:
Impervious cover is the dominant microclimate driver. Urban planning—road width, building footprint, and canopy retention—is direct thermodynamic engineering.

#Calgary #YYC #GIS #RemoteSensing #RStats #DataScience #UrbanHeat #CityPlanning #Microclimate #GreennessOfCalgary

📈 Imperviousness vs. Temperature: Calgary's Primary Thermodynamic Trend

Mapping 313 Calgary communities reveals a linear relationship between % impervious surface area (Random Forest model on Summer 2025 Sentinel-1/2 & Landsat 8/9) and Land Surface Temperature (LST).

📊 Key Data Points:
• Cool Pole (<28°C, 0–15% impervious): Glenmore Park, Fish Creek (water & mature canopy).
• Hot Pole (37–40°C, 85–95% impervious): Industrial (Franklin, Foothills) & residential (Marlborough, Rundle).
• Thermal Slope: Every +10% impervious cover adds +1.2°C to +1.5°C to LST.

🔬 Variance Drivers:
Material albedo, building geometry (shading), topography, and canopy vs. lawn structure.

💡 Takeaway:
Impervious cover is the dominant microclimate driver. Urban planning—road width, building footprint, and canopy retention—is direct thermodynamic engineering.

#Calgary #YYC #GIS #RemoteSensing #RStats #DataScience #UrbanHeat #CityPlanning #Microclimate #GreennessOfCalgary

Does urban greenery yield microclimatic cooling? Spatial analysis of Calgary (Summer 2025) shows a non-linear NDVI vs LST response.

🛠 Stack: Google Earth Engine (Landsat 8/9, Sentinel-2) + R (terra, tidyverse).

📊 Key Findings:
🔹 Cooling Deficit (NDVI < 0.34): LST stays trapped at 35–36°C. Heat stress overrides evapotranspiration; saplings & isolated lawns fail to cool.
🔹 Tipping Point (NDVI > 0.34): Cooling begins above 0.34. Dense canopy (NDVI > 0.70) suppresses LST below 28–30°C (6–8°C delta).

💡 Takeaway: Urban forestry can't just count saplings. Without threshold canopy density, isolated greenery is decoration, not climate infrastructure.

🔗 Link to the research:
https://www.datastory.org.ua/calgarys-summer-heat-a-2025-satellite-perspective/

#RemoteSensing #GIS #RStats #rspatial #terra #tidyverse #GoogleEarthEngine #UrbanForestry #Calgary #YYC #OpenData #GreennessOfCalgary #FOSSGIS #Landsat #Sentinel2

Does urban greenery yield microclimatic cooling? Spatial analysis of Calgary (Summer 2025) shows a non-linear NDVI vs LST response.

🛠 Stack: Google Earth Engine (Landsat 8/9, Sentinel-2) + R (terra, tidyverse).

📊 Key Findings:
🔹 Cooling Deficit (NDVI < 0.34): LST stays trapped at 35–36°C. Heat stress overrides evapotranspiration; saplings & isolated lawns fail to cool.
🔹 Tipping Point (NDVI > 0.34): Cooling begins above 0.34. Dense canopy (NDVI > 0.70) suppresses LST below 28–30°C (6–8°C delta).

💡 Takeaway: Urban forestry can't just count saplings. Without threshold canopy density, isolated greenery is decoration, not climate infrastructure.

🔗 Link to the research:
https://www.datastory.org.ua/calgarys-summer-heat-a-2025-satellite-perspective/

#RemoteSensing #GIS #RStats #rspatial #terra #tidyverse #GoogleEarthEngine #UrbanForestry #Calgary #YYC #OpenData #GreennessOfCalgary #FOSSGIS #Landsat #Sentinel2

Does urban greenery yield microclimatic cooling? Spatial analysis of Calgary (Summer 2025) shows a non-linear NDVI vs LST response.

🛠 Stack: Google Earth Engine (Landsat 8/9, Sentinel-2) + R (terra, tidyverse).

📊 Key Findings:
🔹 Cooling Deficit (NDVI < 0.34): LST stays trapped at 35–36°C. Heat stress overrides evapotranspiration; saplings & isolated lawns fail to cool.
🔹 Tipping Point (NDVI > 0.34): Cooling begins above 0.34. Dense canopy (NDVI > 0.70) suppresses LST below 28–30°C (6–8°C delta).

💡 Takeaway: Urban forestry can't just count saplings. Without threshold canopy density, isolated greenery is decoration, not climate infrastructure.

🔗 Link to the research:
https://www.datastory.org.ua/calgarys-summer-heat-a-2025-satellite-perspective/

#RemoteSensing #GIS #RStats #rspatial #terra #tidyverse #GoogleEarthEngine #UrbanForestry #Calgary #YYC #OpenData #GreennessOfCalgary #FOSSGIS #Landsat #Sentinel2

Does urban greenery yield microclimatic cooling? Spatial analysis of Calgary (Summer 2025) shows a non-linear NDVI vs LST response.

🛠 Stack: Google Earth Engine (Landsat 8/9, Sentinel-2) + R (terra, tidyverse).

📊 Key Findings:
🔹 Cooling Deficit (NDVI < 0.34): LST stays trapped at 35–36°C. Heat stress overrides evapotranspiration; saplings & isolated lawns fail to cool.
🔹 Tipping Point (NDVI > 0.34): Cooling begins above 0.34. Dense canopy (NDVI > 0.70) suppresses LST below 28–30°C (6–8°C delta).

💡 Takeaway: Urban forestry can't just count saplings. Without threshold canopy density, isolated greenery is decoration, not climate infrastructure.

🔗 Link to the research:
https://www.datastory.org.ua/calgarys-summer-heat-a-2025-satellite-perspective/

#RemoteSensing #GIS #RStats #rspatial #terra #tidyverse #GoogleEarthEngine #UrbanForestry #Calgary #YYC #OpenData #GreennessOfCalgary #FOSSGIS #Landsat #Sentinel2

Does urban greenery yield microclimatic cooling? Spatial analysis of Calgary (Summer 2025) shows a non-linear NDVI vs LST response.

🛠 Stack: Google Earth Engine (Landsat 8/9, Sentinel-2) + R (terra, tidyverse).

📊 Key Findings:
🔹 Cooling Deficit (NDVI < 0.34): LST stays trapped at 35–36°C. Heat stress overrides evapotranspiration; saplings & isolated lawns fail to cool.
🔹 Tipping Point (NDVI > 0.34): Cooling begins above 0.34. Dense canopy (NDVI > 0.70) suppresses LST below 28–30°C (6–8°C delta).

💡 Takeaway: Urban forestry can't just count saplings. Without threshold canopy density, isolated greenery is decoration, not climate infrastructure.

🔗 Link to the research:
https://www.datastory.org.ua/calgarys-summer-heat-a-2025-satellite-perspective/

#RemoteSensing #GIS #RStats #rspatial #terra #tidyverse #GoogleEarthEngine #UrbanForestry #Calgary #YYC #OpenData #GreennessOfCalgary #FOSSGIS #Landsat #Sentinel2

📉 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

📉 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

📉 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

Which Calgary neighborhoods are best built to withstand summer heatwaves? 🌳☀️

To measure structural climate resilience across the city, I conducted a spatial analysis of 193 established residential communities, calculating the Solid-to-Tree Ratio—comparing bare artificial surfaces (asphalt, concrete, rooftops) directly against total tree canopy area.

Here are the Top 10 most shade-rich and climate-resilient communities in Calgary:
🟢 Queens Park Village — 0.3 (Just 0.3 ha of hard surface for every 1 ha of canopy!)
🟢 Discovery Ridge — 0.5
🟢 Roxboro — 0.5
🟢 Wildwood — 0.6
🟢 Rideau Park — 0.7
🟢 Medicine Hill — 0.8
🟢 Upper Mount Royal — 0.8
🟢 Crestmont — 0.9
🟢 Elbow Park — 0.9
🟢 Shaganappi — 0.9

👇 The full interactive dataset and study are here:
https://www.datastory.org.ua/calgarys-microclimatic-anatomy-what-lies-beneath-the-citys-green-appearance/

#UrbanAnalytics #GeospatialData #RemoteSensing #GIS #UrbanForestry #CityPlanning #Calgary #DataScience #Microclimate #MachineLearning #GreennessOfCalgary #RStats #FOSSGIS

Which Calgary neighborhoods are best built to withstand summer heatwaves? 🌳☀️

To measure structural climate resilience across the city, I conducted a spatial analysis of 193 established residential communities, calculating the Solid-to-Tree Ratio—comparing bare artificial surfaces (asphalt, concrete, rooftops) directly against total tree canopy area.

Here are the Top 10 most shade-rich and climate-resilient communities in Calgary:
🟢 Queens Park Village — 0.3 (Just 0.3 ha of hard surface for every 1 ha of canopy!)
🟢 Discovery Ridge — 0.5
🟢 Roxboro — 0.5
🟢 Wildwood — 0.6
🟢 Rideau Park — 0.7
🟢 Medicine Hill — 0.8
🟢 Upper Mount Royal — 0.8
🟢 Crestmont — 0.9
🟢 Elbow Park — 0.9
🟢 Shaganappi — 0.9

👇 The full interactive dataset and study are here:
https://www.datastory.org.ua/calgarys-microclimatic-anatomy-what-lies-beneath-the-citys-green-appearance/

#UrbanAnalytics #GeospatialData #RemoteSensing #GIS #UrbanForestry #CityPlanning #Calgary #DataScience #Microclimate #MachineLearning #GreennessOfCalgary #RStats #FOSSGIS

Which Calgary neighborhoods are best built to withstand summer heatwaves? 🌳☀️

To measure structural climate resilience across the city, I conducted a spatial analysis of 193 established residential communities, calculating the Solid-to-Tree Ratio—comparing bare artificial surfaces (asphalt, concrete, rooftops) directly against total tree canopy area.

Here are the Top 10 most shade-rich and climate-resilient communities in Calgary:
🟢 Queens Park Village — 0.3 (Just 0.3 ha of hard surface for every 1 ha of canopy!)
🟢 Discovery Ridge — 0.5
🟢 Roxboro — 0.5
🟢 Wildwood — 0.6
🟢 Rideau Park — 0.7
🟢 Medicine Hill — 0.8
🟢 Upper Mount Royal — 0.8
🟢 Crestmont — 0.9
🟢 Elbow Park — 0.9
🟢 Shaganappi — 0.9

👇 The full interactive dataset and study are here:
https://www.datastory.org.ua/calgarys-microclimatic-anatomy-what-lies-beneath-the-citys-green-appearance/

#UrbanAnalytics #GeospatialData #RemoteSensing #GIS #UrbanForestry #CityPlanning #Calgary #DataScience #Microclimate #MachineLearning #GreennessOfCalgary #RStats #FOSSGIS

Which Calgary neighborhoods are best built to withstand summer heatwaves? 🌳☀️

To measure structural climate resilience across the city, I conducted a spatial analysis of 193 established residential communities, calculating the Solid-to-Tree Ratio—comparing bare artificial surfaces (asphalt, concrete, rooftops) directly against total tree canopy area.

Here are the Top 10 most shade-rich and climate-resilient communities in Calgary:
🟢 Queens Park Village — 0.3 (Just 0.3 ha of hard surface for every 1 ha of canopy!)
🟢 Discovery Ridge — 0.5
🟢 Roxboro — 0.5
🟢 Wildwood — 0.6
🟢 Rideau Park — 0.7
🟢 Medicine Hill — 0.8
🟢 Upper Mount Royal — 0.8
🟢 Crestmont — 0.9
🟢 Elbow Park — 0.9
🟢 Shaganappi — 0.9

👇 The full interactive dataset and study are here:
https://www.datastory.org.ua/calgarys-microclimatic-anatomy-what-lies-beneath-the-citys-green-appearance/

#UrbanAnalytics #GeospatialData #RemoteSensing #GIS #UrbanForestry #CityPlanning #Calgary #DataScience #Microclimate #MachineLearning #GreennessOfCalgary #RStats #FOSSGIS

Which Calgary neighborhoods are best built to withstand summer heatwaves? 🌳☀️

To measure structural climate resilience across the city, I conducted a spatial analysis of 193 established residential communities, calculating the Solid-to-Tree Ratio—comparing bare artificial surfaces (asphalt, concrete, rooftops) directly against total tree canopy area.

Here are the Top 10 most shade-rich and climate-resilient communities in Calgary:
🟢 Queens Park Village — 0.3 (Just 0.3 ha of hard surface for every 1 ha of canopy!)
🟢 Discovery Ridge — 0.5
🟢 Roxboro — 0.5
🟢 Wildwood — 0.6
🟢 Rideau Park — 0.7
🟢 Medicine Hill — 0.8
🟢 Upper Mount Royal — 0.8
🟢 Crestmont — 0.9
🟢 Elbow Park — 0.9
🟢 Shaganappi — 0.9

👇 The full interactive dataset and study are here:
https://www.datastory.org.ua/calgarys-microclimatic-anatomy-what-lies-beneath-the-citys-green-appearance/

#UrbanAnalytics #GeospatialData #RemoteSensing #GIS #UrbanForestry #CityPlanning #Calgary #DataScience #Microclimate #MachineLearning #GreennessOfCalgary #RStats #FOSSGIS

🔥 Top 10 Calgary Communities with the Highest "Shade Deficit"

To measure structural heat risks, I calculated the Solid-to-Tree Ratio—the ratio of bare artificial surfaces (asphalt, concrete, roofs) to total tree canopy area. A higher ratio means more heat-retaining concrete and less natural cooling.

Here are the 10 most shade-deficient residential communities in Calgary:
🔹 Downtown Commercial Core — 56.2 (56.2 ha of hard surfaces for every 1 ha of trees)
🔹 Beltline — 24.6
🔹 Redstone — 23.8
🔹 Seton — 20.8
🔹 Manchester — 17.7
🔹 Rangeview — 16.8
🔹 Symons Valley Ranch — 16.0
🔹 Lower Mount Royal — 13.9
🔹 Country Hills Village — 13.2
🔹 Martindale — 12.4

An interactive lookup table featuring area metrics and ratios for all 193 established Calgary residential communities is available via the link:
https://www.datastory.org.ua/calgarys-microclimatic-anatomy-what-lies-beneath-the-citys-green-appearance/

#YYC #Calgary #CalgaryRealEstate #UrbanForestry #CityPlanning #RemoteSensing #YycLiving #GreennessOfCalgary #MachineLearning #RStats #Alberta #Canada

🔥 Top 10 Calgary Communities with the Highest "Shade Deficit"

To measure structural heat risks, I calculated the Solid-to-Tree Ratio—the ratio of bare artificial surfaces (asphalt, concrete, roofs) to total tree canopy area. A higher ratio means more heat-retaining concrete and less natural cooling.

Here are the 10 most shade-deficient residential communities in Calgary:
🔹 Downtown Commercial Core — 56.2 (56.2 ha of hard surfaces for every 1 ha of trees)
🔹 Beltline — 24.6
🔹 Redstone — 23.8
🔹 Seton — 20.8
🔹 Manchester — 17.7
🔹 Rangeview — 16.8
🔹 Symons Valley Ranch — 16.0
🔹 Lower Mount Royal — 13.9
🔹 Country Hills Village — 13.2
🔹 Martindale — 12.4

An interactive lookup table featuring area metrics and ratios for all 193 established Calgary residential communities is available via the link:
https://www.datastory.org.ua/calgarys-microclimatic-anatomy-what-lies-beneath-the-citys-green-appearance/

#YYC #Calgary #CalgaryRealEstate #UrbanForestry #CityPlanning #RemoteSensing #YycLiving #GreennessOfCalgary #MachineLearning #RStats #Alberta #Canada

🔥 Top 10 Calgary Communities with the Highest "Shade Deficit"

To measure structural heat risks, I calculated the Solid-to-Tree Ratio—the ratio of bare artificial surfaces (asphalt, concrete, roofs) to total tree canopy area. A higher ratio means more heat-retaining concrete and less natural cooling.

Here are the 10 most shade-deficient residential communities in Calgary:
🔹 Downtown Commercial Core — 56.2 (56.2 ha of hard surfaces for every 1 ha of trees)
🔹 Beltline — 24.6
🔹 Redstone — 23.8
🔹 Seton — 20.8
🔹 Manchester — 17.7
🔹 Rangeview — 16.8
🔹 Symons Valley Ranch — 16.0
🔹 Lower Mount Royal — 13.9
🔹 Country Hills Village — 13.2
🔹 Martindale — 12.4

An interactive lookup table featuring area metrics and ratios for all 193 established Calgary residential communities is available via the link:
https://www.datastory.org.ua/calgarys-microclimatic-anatomy-what-lies-beneath-the-citys-green-appearance/

#YYC #Calgary #CalgaryRealEstate #UrbanForestry #CityPlanning #RemoteSensing #YycLiving #GreennessOfCalgary #MachineLearning #RStats #Alberta #Canada

🔥 Top 10 Calgary Communities with the Highest "Shade Deficit"

To measure structural heat risks, I calculated the Solid-to-Tree Ratio—the ratio of bare artificial surfaces (asphalt, concrete, roofs) to total tree canopy area. A higher ratio means more heat-retaining concrete and less natural cooling.

Here are the 10 most shade-deficient residential communities in Calgary:
🔹 Downtown Commercial Core — 56.2 (56.2 ha of hard surfaces for every 1 ha of trees)
🔹 Beltline — 24.6
🔹 Redstone — 23.8
🔹 Seton — 20.8
🔹 Manchester — 17.7
🔹 Rangeview — 16.8
🔹 Symons Valley Ranch — 16.0
🔹 Lower Mount Royal — 13.9
🔹 Country Hills Village — 13.2
🔹 Martindale — 12.4

An interactive lookup table featuring area metrics and ratios for all 193 established Calgary residential communities is available via the link:
https://www.datastory.org.ua/calgarys-microclimatic-anatomy-what-lies-beneath-the-citys-green-appearance/

#YYC #Calgary #CalgaryRealEstate #UrbanForestry #CityPlanning #RemoteSensing #YycLiving #GreennessOfCalgary #MachineLearning #RStats #Alberta #Canada

🔥 Top 10 Calgary Communities with the Highest "Shade Deficit"

To measure structural heat risks, I calculated the Solid-to-Tree Ratio—the ratio of bare artificial surfaces (asphalt, concrete, roofs) to total tree canopy area. A higher ratio means more heat-retaining concrete and less natural cooling.

Here are the 10 most shade-deficient residential communities in Calgary:
🔹 Downtown Commercial Core — 56.2 (56.2 ha of hard surfaces for every 1 ha of trees)
🔹 Beltline — 24.6
🔹 Redstone — 23.8
🔹 Seton — 20.8
🔹 Manchester — 17.7
🔹 Rangeview — 16.8
🔹 Symons Valley Ranch — 16.0
🔹 Lower Mount Royal — 13.9
🔹 Country Hills Village — 13.2
🔹 Martindale — 12.4

An interactive lookup table featuring area metrics and ratios for all 193 established Calgary residential communities is available via the link:
https://www.datastory.org.ua/calgarys-microclimatic-anatomy-what-lies-beneath-the-citys-green-appearance/

#YYC #Calgary #CalgaryRealEstate #UrbanForestry #CityPlanning #RemoteSensing #YycLiving #GreennessOfCalgary #MachineLearning #RStats #Alberta #Canada

🌳 Is Calgary actually as green as it looks?

While open lawns (28.6% citywide) give Calgary a visual "green appearance", dry summer conditions quickly strip unirrigated grass of its cooling capacity. Meanwhile, true cooling infrastructure — dense and sparse tree canopy — accounts for only ~17%.

To quantify structural heat risks, I introduced the Solid-to-Tree Ratio index across 193 residential communities:
🔹 Critical Deficit: Downtown Core (56.2) and Beltline (24.6), where hard surfaces outnumber tree canopy by tens of times.
🔹 Suburban Pressure: New communities like Redstone (23.8) and Seton (20.8) feature high-density lots with minimal mature shade.
🔹 Ecological Buffers: River valley communities like Discovery Ridge (0.5) and Wildwood (0.6), where canopy exceeds concrete.

👇 Link to the full study and interactive dataset:
https://www.datastory.org.ua/calgarys-microclimatic-anatomy-what-lies-beneath-the-citys-green-appearance/

#Calgary #YYC #DataScience #GIS #RStats #RemoteSensing #UrbanHeat #DataViz #SpatialAnalysis #MachineLearning #GreennessOfCalgary #FOSSGIS #Alberta #Canada

🌳 Is Calgary actually as green as it looks?

While open lawns (28.6% citywide) give Calgary a visual "green appearance", dry summer conditions quickly strip unirrigated grass of its cooling capacity. Meanwhile, true cooling infrastructure — dense and sparse tree canopy — accounts for only ~17%.

To quantify structural heat risks, I introduced the Solid-to-Tree Ratio index across 193 residential communities:
🔹 Critical Deficit: Downtown Core (56.2) and Beltline (24.6), where hard surfaces outnumber tree canopy by tens of times.
🔹 Suburban Pressure: New communities like Redstone (23.8) and Seton (20.8) feature high-density lots with minimal mature shade.
🔹 Ecological Buffers: River valley communities like Discovery Ridge (0.5) and Wildwood (0.6), where canopy exceeds concrete.

👇 Link to the full study and interactive dataset:
https://www.datastory.org.ua/calgarys-microclimatic-anatomy-what-lies-beneath-the-citys-green-appearance/

#Calgary #YYC #DataScience #GIS #RStats #RemoteSensing #UrbanHeat #DataViz #SpatialAnalysis #MachineLearning #GreennessOfCalgary #FOSSGIS #Alberta #Canada

🌳 Is Calgary actually as green as it looks?

While open lawns (28.6% citywide) give Calgary a visual "green appearance", dry summer conditions quickly strip unirrigated grass of its cooling capacity. Meanwhile, true cooling infrastructure — dense and sparse tree canopy — accounts for only ~17%.

To quantify structural heat risks, I introduced the Solid-to-Tree Ratio index across 193 residential communities:
🔹 Critical Deficit: Downtown Core (56.2) and Beltline (24.6), where hard surfaces outnumber tree canopy by tens of times.
🔹 Suburban Pressure: New communities like Redstone (23.8) and Seton (20.8) feature high-density lots with minimal mature shade.
🔹 Ecological Buffers: River valley communities like Discovery Ridge (0.5) and Wildwood (0.6), where canopy exceeds concrete.

👇 Link to the full study and interactive dataset:
https://www.datastory.org.ua/calgarys-microclimatic-anatomy-what-lies-beneath-the-citys-green-appearance/

#Calgary #YYC #DataScience #GIS #RStats #RemoteSensing #UrbanHeat #DataViz #SpatialAnalysis #MachineLearning #GreennessOfCalgary #FOSSGIS #Alberta #Canada

🌳 Is Calgary actually as green as it looks?

While open lawns (28.6% citywide) give Calgary a visual "green appearance", dry summer conditions quickly strip unirrigated grass of its cooling capacity. Meanwhile, true cooling infrastructure — dense and sparse tree canopy — accounts for only ~17%.

To quantify structural heat risks, I introduced the Solid-to-Tree Ratio index across 193 residential communities:
🔹 Critical Deficit: Downtown Core (56.2) and Beltline (24.6), where hard surfaces outnumber tree canopy by tens of times.
🔹 Suburban Pressure: New communities like Redstone (23.8) and Seton (20.8) feature high-density lots with minimal mature shade.
🔹 Ecological Buffers: River valley communities like Discovery Ridge (0.5) and Wildwood (0.6), where canopy exceeds concrete.

👇 Link to the full study and interactive dataset:
https://www.datastory.org.ua/calgarys-microclimatic-anatomy-what-lies-beneath-the-citys-green-appearance/

#Calgary #YYC #DataScience #GIS #RStats #RemoteSensing #UrbanHeat #DataViz #SpatialAnalysis #MachineLearning #GreennessOfCalgary #FOSSGIS #Alberta #Canada

🌳 Is Calgary actually as green as it looks?

While open lawns (28.6% citywide) give Calgary a visual "green appearance", dry summer conditions quickly strip unirrigated grass of its cooling capacity. Meanwhile, true cooling infrastructure — dense and sparse tree canopy — accounts for only ~17%.

To quantify structural heat risks, I introduced the Solid-to-Tree Ratio index across 193 residential communities:
🔹 Critical Deficit: Downtown Core (56.2) and Beltline (24.6), where hard surfaces outnumber tree canopy by tens of times.
🔹 Suburban Pressure: New communities like Redstone (23.8) and Seton (20.8) feature high-density lots with minimal mature shade.
🔹 Ecological Buffers: River valley communities like Discovery Ridge (0.5) and Wildwood (0.6), where canopy exceeds concrete.

👇 Link to the full study and interactive dataset:
https://www.datastory.org.ua/calgarys-microclimatic-anatomy-what-lies-beneath-the-citys-green-appearance/

#Calgary #YYC #DataScience #GIS #RStats #RemoteSensing #UrbanHeat #DataViz #SpatialAnalysis #MachineLearning #GreennessOfCalgary #FOSSGIS #Alberta #Canada

🌳 Quantifying Calgary’s Microclimatic Imbalance: The Solid-to-Tree Ratio

To evaluate the structural heat load across Calgary's communities, I calculated the ratio of high-thermal artificial surfaces to cooling tree canopy: Solid / (Park + Forest), based on my 2025 satellite land cover model (LULC v6.0).

Why this ratio matters:
🔹 Thermal Stress Indicator: It measures how many square meters of heat-absorbing surfaces (asphalt, concrete, roofs, bare soil) exist for every square meter of tree canopy.
🔹 Spatial Inequality: While mature western neighborhoods maintain ratios between 1.5 and 4, eastern and peripheral zones reach values from 10 to over 50.
🔹 Evidence-Based Planning: It moves the discussion from generic averages to identifying exact spatial boundaries where microclimatic mitigation is most needed.

Note: The map uses a logarithmic scale.

#Calgary #YYC #DataScience #GIS #RStats #RemoteSensing #UrbanHeat #DataViz #SpatialAnalysis #MachineLearning #GreennessOfCalgary #FOSSGIS #Sentinel1 #Sentinel2

🌳 Quantifying Calgary’s Microclimatic Imbalance: The Solid-to-Tree Ratio

To evaluate the structural heat load across Calgary's communities, I calculated the ratio of high-thermal artificial surfaces to cooling tree canopy: Solid / (Park + Forest), based on my 2025 satellite land cover model (LULC v6.0).

Why this ratio matters:
🔹 Thermal Stress Indicator: It measures how many square meters of heat-absorbing surfaces (asphalt, concrete, roofs, bare soil) exist for every square meter of tree canopy.
🔹 Spatial Inequality: While mature western neighborhoods maintain ratios between 1.5 and 4, eastern and peripheral zones reach values from 10 to over 50.
🔹 Evidence-Based Planning: It moves the discussion from generic averages to identifying exact spatial boundaries where microclimatic mitigation is most needed.

Note: The map uses a logarithmic scale.

#Calgary #YYC #DataScience #GIS #RStats #RemoteSensing #UrbanHeat #DataViz #SpatialAnalysis #MachineLearning #GreennessOfCalgary #FOSSGIS #Sentinel1 #Sentinel2

🌳 Quantifying Calgary’s Microclimatic Imbalance: The Solid-to-Tree Ratio

To evaluate the structural heat load across Calgary's communities, I calculated the ratio of high-thermal artificial surfaces to cooling tree canopy: Solid / (Park + Forest), based on my 2025 satellite land cover model (LULC v6.0).

Why this ratio matters:
🔹 Thermal Stress Indicator: It measures how many square meters of heat-absorbing surfaces (asphalt, concrete, roofs, bare soil) exist for every square meter of tree canopy.
🔹 Spatial Inequality: While mature western neighborhoods maintain ratios between 1.5 and 4, eastern and peripheral zones reach values from 10 to over 50.
🔹 Evidence-Based Planning: It moves the discussion from generic averages to identifying exact spatial boundaries where microclimatic mitigation is most needed.

Note: The map uses a logarithmic scale.

#Calgary #YYC #DataScience #GIS #RStats #RemoteSensing #UrbanHeat #DataViz #SpatialAnalysis #MachineLearning #GreennessOfCalgary #FOSSGIS #Sentinel1 #Sentinel2

🌳 Quantifying Calgary’s Microclimatic Imbalance: The Solid-to-Tree Ratio

To evaluate the structural heat load across Calgary's communities, I calculated the ratio of high-thermal artificial surfaces to cooling tree canopy: Solid / (Park + Forest), based on my 2025 satellite land cover model (LULC v6.0).

Why this ratio matters:
🔹 Thermal Stress Indicator: It measures how many square meters of heat-absorbing surfaces (asphalt, concrete, roofs, bare soil) exist for every square meter of tree canopy.
🔹 Spatial Inequality: While mature western neighborhoods maintain ratios between 1.5 and 4, eastern and peripheral zones reach values from 10 to over 50.
🔹 Evidence-Based Planning: It moves the discussion from generic averages to identifying exact spatial boundaries where microclimatic mitigation is most needed.

Note: The map uses a logarithmic scale.

#Calgary #YYC #DataScience #GIS #RStats #RemoteSensing #UrbanHeat #DataViz #SpatialAnalysis #MachineLearning #GreennessOfCalgary #FOSSGIS #Sentinel1 #Sentinel2

🌳 Quantifying Calgary’s Microclimatic Imbalance: The Solid-to-Tree Ratio

To evaluate the structural heat load across Calgary's communities, I calculated the ratio of high-thermal artificial surfaces to cooling tree canopy: Solid / (Park + Forest), based on my 2025 satellite land cover model (LULC v6.0).

Why this ratio matters:
🔹 Thermal Stress Indicator: It measures how many square meters of heat-absorbing surfaces (asphalt, concrete, roofs, bare soil) exist for every square meter of tree canopy.
🔹 Spatial Inequality: While mature western neighborhoods maintain ratios between 1.5 and 4, eastern and peripheral zones reach values from 10 to over 50.
🔹 Evidence-Based Planning: It moves the discussion from generic averages to identifying exact spatial boundaries where microclimatic mitigation is most needed.

Note: The map uses a logarithmic scale.

#Calgary #YYC #DataScience #GIS #RStats #RemoteSensing #UrbanHeat #DataViz #SpatialAnalysis #MachineLearning #GreennessOfCalgary #FOSSGIS #Sentinel1 #Sentinel2

📊 Beyond Averages: Spatial Heterogeneity in Calgary (LULC v6.0)

Averages mask reality. To capture ecological stratification across Calgary's residential communities (excl. major parks/building-out and industrial zones), I combined Violin + Box Plots:
🔹 Solid (Impervious): Median ~67% (IQR 55–74%). High-thermal non-vegetated surfaces are a systemic structural feature across nearly all neighborhoods.
🔹 Park vs. Lawn (Canopy vs. Turf): Park median (~20%) doubles Lawn (~10%). A long upper tail (>50%) highlights spatial inequality in tree cover.
🔹 Forest & Water: Near 0% for 95% of communities, but sharp needles (up to 25% forest, 16% water) mark outliers with lakes or remnant woods.
💡 Takeaway: Calgary isn't homogenous—microclimatic comfort heavily depends on geographic boundaries.

Full analysis coming soon: https://www.datastory.org.ua/

#Calgary #YYC #DataScience #GIS #RStats #RemoteSensing #UrbanHeat #DataViz #SpatialAnalysis #MachineLearning #GreennessOfCalgary #FOSSGIS #OpenData #OpenSource #TreeEquity

📊 Beyond Averages: Spatial Heterogeneity in Calgary (LULC v6.0)

Averages mask reality. To capture ecological stratification across Calgary's residential communities (excl. major parks/building-out and industrial zones), I combined Violin + Box Plots:
🔹 Solid (Impervious): Median ~67% (IQR 55–74%). High-thermal non-vegetated surfaces are a systemic structural feature across nearly all neighborhoods.
🔹 Park vs. Lawn (Canopy vs. Turf): Park median (~20%) doubles Lawn (~10%). A long upper tail (>50%) highlights spatial inequality in tree cover.
🔹 Forest & Water: Near 0% for 95% of communities, but sharp needles (up to 25% forest, 16% water) mark outliers with lakes or remnant woods.
💡 Takeaway: Calgary isn't homogenous—microclimatic comfort heavily depends on geographic boundaries.

Full analysis coming soon: https://www.datastory.org.ua/

#Calgary #YYC #DataScience #GIS #RStats #RemoteSensing #UrbanHeat #DataViz #SpatialAnalysis #MachineLearning #GreennessOfCalgary #FOSSGIS #OpenData #OpenSource #TreeEquity

📊 Beyond Averages: Spatial Heterogeneity in Calgary (LULC v6.0)

Averages mask reality. To capture ecological stratification across Calgary's residential communities (excl. major parks/building-out and industrial zones), I combined Violin + Box Plots:
🔹 Solid (Impervious): Median ~67% (IQR 55–74%). High-thermal non-vegetated surfaces are a systemic structural feature across nearly all neighborhoods.
🔹 Park vs. Lawn (Canopy vs. Turf): Park median (~20%) doubles Lawn (~10%). A long upper tail (>50%) highlights spatial inequality in tree cover.
🔹 Forest & Water: Near 0% for 95% of communities, but sharp needles (up to 25% forest, 16% water) mark outliers with lakes or remnant woods.
💡 Takeaway: Calgary isn't homogenous—microclimatic comfort heavily depends on geographic boundaries.

Full analysis coming soon: https://www.datastory.org.ua/

#Calgary #YYC #DataScience #GIS #RStats #RemoteSensing #UrbanHeat #DataViz #SpatialAnalysis #MachineLearning #GreennessOfCalgary #FOSSGIS #OpenData #OpenSource #TreeEquity

📊 Beyond Averages: Spatial Heterogeneity in Calgary (LULC v6.0)

Averages mask reality. To capture ecological stratification across Calgary's residential communities (excl. major parks/building-out and industrial zones), I combined Violin + Box Plots:
🔹 Solid (Impervious): Median ~67% (IQR 55–74%). High-thermal non-vegetated surfaces are a systemic structural feature across nearly all neighborhoods.
🔹 Park vs. Lawn (Canopy vs. Turf): Park median (~20%) doubles Lawn (~10%). A long upper tail (>50%) highlights spatial inequality in tree cover.
🔹 Forest & Water: Near 0% for 95% of communities, but sharp needles (up to 25% forest, 16% water) mark outliers with lakes or remnant woods.
💡 Takeaway: Calgary isn't homogenous—microclimatic comfort heavily depends on geographic boundaries.

Full analysis coming soon: https://www.datastory.org.ua/

#Calgary #YYC #DataScience #GIS #RStats #RemoteSensing #UrbanHeat #DataViz #SpatialAnalysis #MachineLearning #GreennessOfCalgary #FOSSGIS #OpenData #OpenSource #TreeEquity

📊 Beyond Averages: Spatial Heterogeneity in Calgary (LULC v6.0)

Averages mask reality. To capture ecological stratification across Calgary's residential communities (excl. major parks/building-out and industrial zones), I combined Violin + Box Plots:
🔹 Solid (Impervious): Median ~67% (IQR 55–74%). High-thermal non-vegetated surfaces are a systemic structural feature across nearly all neighborhoods.
🔹 Park vs. Lawn (Canopy vs. Turf): Park median (~20%) doubles Lawn (~10%). A long upper tail (>50%) highlights spatial inequality in tree cover.
🔹 Forest & Water: Near 0% for 95% of communities, but sharp needles (up to 25% forest, 16% water) mark outliers with lakes or remnant woods.
💡 Takeaway: Calgary isn't homogenous—microclimatic comfort heavily depends on geographic boundaries.

Full analysis coming soon: https://www.datastory.org.ua/

#Calgary #YYC #DataScience #GIS #RStats #RemoteSensing #UrbanHeat #DataViz #SpatialAnalysis #MachineLearning #GreennessOfCalgary #FOSSGIS #OpenData #OpenSource #TreeEquity

🔥 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

🏡 Here is the data analysis for Calgary, Summer 2025. This chart shows the relationship between vegetation density (NDVI) and Land Surface Temperature (LST).

🔥 The data reveals a critical "tipping point": vegetation only starts effectively cooling the environment once it reaches a specific density threshold. Below this threshold (the left side of the curve), green spaces stay just as hot as the surrounding concrete.
Sparse or isolated trees don't act as air conditioners—they "burn" in the urban furnace right along with us.

❗ What does this mean for Calgary? Simply planting a few scattered trees isn't enough. To actually move the needle on temperature, we need dense, healthy green belts. Otherwise, it’s just a waste of water and resources.

🔗 Link to the research: https://www.datastory.org.ua/calgarys-summer-heat-a-2025-satellite-perspective/

#Calgary #UrbanHeatIsland #NDVI #ClimateChange #UrbanPlanning #DataScience #Environment #YYC #BigData #ScienceMatters #GreennessOfCalgary #ClimateOfCalgary #rstats #RemoteSensing #OpenScience

🏡 Here is the data analysis for Calgary, Summer 2025. This chart shows the relationship between vegetation density (NDVI) and Land Surface Temperature (LST).

🔥 The data reveals a critical "tipping point": vegetation only starts effectively cooling the environment once it reaches a specific density threshold. Below this threshold (the left side of the curve), green spaces stay just as hot as the surrounding concrete.
Sparse or isolated trees don't act as air conditioners—they "burn" in the urban furnace right along with us.

❗ What does this mean for Calgary? Simply planting a few scattered trees isn't enough. To actually move the needle on temperature, we need dense, healthy green belts. Otherwise, it’s just a waste of water and resources.

🔗 Link to the research: https://www.datastory.org.ua/calgarys-summer-heat-a-2025-satellite-perspective/

#Calgary #UrbanHeatIsland #NDVI #ClimateChange #UrbanPlanning #DataScience #Environment #YYC #BigData #ScienceMatters #GreennessOfCalgary #ClimateOfCalgary #rstats #RemoteSensing #OpenScience

🏡 Here is the data analysis for Calgary, Summer 2025. This chart shows the relationship between vegetation density (NDVI) and Land Surface Temperature (LST).

🔥 The data reveals a critical "tipping point": vegetation only starts effectively cooling the environment once it reaches a specific density threshold. Below this threshold (the left side of the curve), green spaces stay just as hot as the surrounding concrete.
Sparse or isolated trees don't act as air conditioners—they "burn" in the urban furnace right along with us.

❗ What does this mean for Calgary? Simply planting a few scattered trees isn't enough. To actually move the needle on temperature, we need dense, healthy green belts. Otherwise, it’s just a waste of water and resources.

🔗 Link to the research: https://www.datastory.org.ua/calgarys-summer-heat-a-2025-satellite-perspective/

#Calgary #UrbanHeatIsland #NDVI #ClimateChange #UrbanPlanning #DataScience #Environment #YYC #BigData #ScienceMatters #GreennessOfCalgary #ClimateOfCalgary #rstats #RemoteSensing #OpenScience

🏡 Here is the data analysis for Calgary, Summer 2025. This chart shows the relationship between vegetation density (NDVI) and Land Surface Temperature (LST).

🔥 The data reveals a critical "tipping point": vegetation only starts effectively cooling the environment once it reaches a specific density threshold. Below this threshold (the left side of the curve), green spaces stay just as hot as the surrounding concrete.
Sparse or isolated trees don't act as air conditioners—they "burn" in the urban furnace right along with us.

❗ What does this mean for Calgary? Simply planting a few scattered trees isn't enough. To actually move the needle on temperature, we need dense, healthy green belts. Otherwise, it’s just a waste of water and resources.

🔗 Link to the research: https://www.datastory.org.ua/calgarys-summer-heat-a-2025-satellite-perspective/

#Calgary #UrbanHeatIsland #NDVI #ClimateChange #UrbanPlanning #DataScience #Environment #YYC #BigData #ScienceMatters #GreennessOfCalgary #ClimateOfCalgary #rstats #RemoteSensing #OpenScience

🏡 Here is the data analysis for Calgary, Summer 2025. This chart shows the relationship between vegetation density (NDVI) and Land Surface Temperature (LST).

🔥 The data reveals a critical "tipping point": vegetation only starts effectively cooling the environment once it reaches a specific density threshold. Below this threshold (the left side of the curve), green spaces stay just as hot as the surrounding concrete.
Sparse or isolated trees don't act as air conditioners—they "burn" in the urban furnace right along with us.

❗ What does this mean for Calgary? Simply planting a few scattered trees isn't enough. To actually move the needle on temperature, we need dense, healthy green belts. Otherwise, it’s just a waste of water and resources.

🔗 Link to the research: https://www.datastory.org.ua/calgarys-summer-heat-a-2025-satellite-perspective/

#Calgary #UrbanHeatIsland #NDVI #ClimateChange #UrbanPlanning #DataScience #Environment #YYC #BigData #ScienceMatters #GreennessOfCalgary #ClimateOfCalgary #rstats #RemoteSensing #OpenScience

Giving back to Calgary: an article was published today about my satellite research of the city!

It is important to me to use my knowledge as a geoscientist and environmental data scientist to help make our new home better and greener. Thanks to LiveWire Calgary for the interest in this topic!

https://livewirecalgary.com/2026/03/17/new-satellite-study-shows-calgarys-uneven-urban-greenery/

#DataScience #EnvironmentalScience #RemoteSensing #Calgary #PublicEngagement #GIS #Sustainability #RStats #MDEM #yycPlanning #UrbanPlanning #ClimateResilience #NatureBasedSolutions #UrbanEcology #GreenInfrastructure #SmartCities #CalgaryUrbanism #GreennessOfCalgary