#greennessofcalgary — Public Fediverse posts

🛰️ On September 28, I will be presenting at Data for Good (Calgary) on “Satellite Remote Sensing & Open Data: From Earth Observation to Measurable Public Impact in Calgary”.
💻 The talk will focus on the technical workflow: ingesting and processing multi-sensor Sentinel and Landsat imagery using Google Earth Engine and R, machine learning for land cover classification, and modeling neighborhood-scale land surface temperature (LST) patterns across the city.

🌳 We will also discuss the role of spatial data science and data visualization in informing local urban climate resilience and municipal open data initiatives. Looking forward to the technical discussion, Q&A, and connecting with Calgary’s data and geospatial community.

🔗 Registration link is here:
https://meetu.ps/e/QgbbR/ZtysN/i

#DataForGoodYYC #Geospatial #RemoteSensing #RStats #GoogleEarthEngine #OpenData #Calgary #EnvironmentalData #GreennessOfCalgary

🛰️ On September 28, I will be presenting at Data for Good (Calgary) on “Satellite Remote Sensing & Open Data: From Earth Observation to Measurable Public Impact in Calgary”.
💻 The talk will focus on the technical workflow: ingesting and processing multi-sensor Sentinel and Landsat imagery using Google Earth Engine and R, machine learning for land cover classification, and modeling neighborhood-scale land surface temperature (LST) patterns across the city.

🌳 We will also discuss the role of spatial data science and data visualization in informing local urban climate resilience and municipal open data initiatives. Looking forward to the technical discussion, Q&A, and connecting with Calgary’s data and geospatial community.

🔗 Registration link is here:
https://meetu.ps/e/QgbbR/ZtysN/i

#DataForGoodYYC #Geospatial #RemoteSensing #RStats #GoogleEarthEngine #OpenData #Calgary #EnvironmentalData #GreennessOfCalgary

🛰️ On September 28, I will be presenting at Data for Good (Calgary) on “Satellite Remote Sensing & Open Data: From Earth Observation to Measurable Public Impact in Calgary”.
💻 The talk will focus on the technical workflow: ingesting and processing multi-sensor Sentinel and Landsat imagery using Google Earth Engine and R, machine learning for land cover classification, and modeling neighborhood-scale land surface temperature (LST) patterns across the city.

🌳 We will also discuss the role of spatial data science and data visualization in informing local urban climate resilience and municipal open data initiatives. Looking forward to the technical discussion, Q&A, and connecting with Calgary’s data and geospatial community.

🔗 Registration link is here:
https://meetu.ps/e/QgbbR/ZtysN/i

#DataForGoodYYC #Geospatial #RemoteSensing #RStats #GoogleEarthEngine #OpenData #Calgary #EnvironmentalData #GreennessOfCalgary

🛰️ On September 28, I will be presenting at Data for Good (Calgary) on “Satellite Remote Sensing & Open Data: From Earth Observation to Measurable Public Impact in Calgary”.
💻 The talk will focus on the technical workflow: ingesting and processing multi-sensor Sentinel and Landsat imagery using Google Earth Engine and R, machine learning for land cover classification, and modeling neighborhood-scale land surface temperature (LST) patterns across the city.

🌳 We will also discuss the role of spatial data science and data visualization in informing local urban climate resilience and municipal open data initiatives. Looking forward to the technical discussion, Q&A, and connecting with Calgary’s data and geospatial community.

🔗 Registration link is here:
https://meetu.ps/e/QgbbR/ZtysN/i

#DataForGoodYYC #Geospatial #RemoteSensing #RStats #GoogleEarthEngine #OpenData #Calgary #EnvironmentalData #GreennessOfCalgary

🛰️ On September 28, I will be presenting at Data for Good (Calgary) on “Satellite Remote Sensing & Open Data: From Earth Observation to Measurable Public Impact in Calgary”.
💻 The talk will focus on the technical workflow: ingesting and processing multi-sensor Sentinel and Landsat imagery using Google Earth Engine and R, machine learning for land cover classification, and modeling neighborhood-scale land surface temperature (LST) patterns across the city.

🌳 We will also discuss the role of spatial data science and data visualization in informing local urban climate resilience and municipal open data initiatives. Looking forward to the technical discussion, Q&A, and connecting with Calgary’s data and geospatial community.

🔗 Registration link is here:
https://meetu.ps/e/QgbbR/ZtysN/i

#DataForGoodYYC #Geospatial #RemoteSensing #RStats #GoogleEarthEngine #OpenData #Calgary #EnvironmentalData #GreennessOfCalgary

Based on satellite imagery from June to August 2025, my research revealed 58,673 distinct vegetative patches across Calgary, covering a total of 39,009 hectares. However, exactly 50% of the city's total green cover is concentrated in just 44 large megaclusters. The remaining half is dispersed across tens of thousands of tiny, highly fragmented patches.

UPD:
Previous steps of my research you can find here:
https://www.datastory.org.ua/

#GIS #RemoteSensing #EarthObservation #Calgary #SpatialDataScience #MachineLearning #Geoscience #OpenData #GreennessOfCalgary #UrbanResilience #fossgiss #RStats #Alberta #Canada

Based on satellite imagery from June to August 2025, my research revealed 58,673 distinct vegetative patches across Calgary, covering a total of 39,009 hectares. However, exactly 50% of the city's total green cover is concentrated in just 44 large megaclusters. The remaining half is dispersed across tens of thousands of tiny, highly fragmented patches.

UPD:
Previous steps of my research you can find here:
https://www.datastory.org.ua/

#GIS #RemoteSensing #EarthObservation #Calgary #SpatialDataScience #MachineLearning #Geoscience #OpenData #GreennessOfCalgary #UrbanResilience #fossgiss #RStats #Alberta #Canada

Based on satellite imagery from June to August 2025, my research revealed 58,673 distinct vegetative patches across Calgary, covering a total of 39,009 hectares. However, exactly 50% of the city's total green cover is concentrated in just 44 large megaclusters. The remaining half is dispersed across tens of thousands of tiny, highly fragmented patches.

UPD:
Previous steps of my research you can find here:
https://www.datastory.org.ua/

#GIS #RemoteSensing #EarthObservation #Calgary #SpatialDataScience #MachineLearning #Geoscience #OpenData #GreennessOfCalgary #UrbanResilience #fossgiss #RStats #Alberta #Canada

Based on satellite imagery from June to August 2025, my research revealed 58,673 distinct vegetative patches across Calgary, covering a total of 39,009 hectares. However, exactly 50% of the city's total green cover is concentrated in just 44 large megaclusters. The remaining half is dispersed across tens of thousands of tiny, highly fragmented patches.

UPD:
Previous steps of my research you can find here:
https://www.datastory.org.ua/

#GIS #RemoteSensing #EarthObservation #Calgary #SpatialDataScience #MachineLearning #Geoscience #OpenData #GreennessOfCalgary #UrbanResilience #fossgiss #RStats #Alberta #Canada

Based on satellite imagery from June to August 2025, my research revealed 58,673 distinct vegetative patches across Calgary, covering a total of 39,009 hectares. However, exactly 50% of the city's total green cover is concentrated in just 44 large megaclusters. The remaining half is dispersed across tens of thousands of tiny, highly fragmented patches.

#GIS #RemoteSensing #EarthObservation #Calgary #SpatialDataScience #MachineLearning #Geoscience #OpenData #GreennessOfCalgary #UrbanResilience #fossgiss #RStats #Alberta #Canada

🌳 Calgary's municipal boundaries contain 58,673 contiguous vegetative clusters ("patches") covering a total area of 39,008.75 hectares.
📊 Median patch size is just 0.02 ha or less (1–2 pixels at Sentinel-1/Sentinel-2 resolution).
This confirms an extreme power-law hyper-concentration across the urban landscape:
Fewer than 0.09% of all patches (just 50 out of 58,673) account for 52.29% of the city's total green cover (over 20,400 ha).
☝️ The urban spatial fabric effectively splits into "two worlds":
🔹 Ecological Backbone (Top-50): Just 50 large contiguous tracts (Nose Hill Park, Fish Creek Provincial Park, the Bow and Elbow river valleys, ravine systems, and peripheral grasslands) form Calgary's unbroken ecological framework.
🔹 Fragmented Urban Matrix (58,623 patches): The remaining 47.7% of urban vegetation is dispersed across tens of thousands of residential lawns, private yards, and road medians, with an average patch size of ~0.3 ha.

#SpatialDataScience #UrbanResilience #GreennessOfCalgary #WildfireRisk

🌳 Calgary's municipal boundaries contain 58,673 contiguous vegetative clusters ("patches") covering a total area of 39,008.75 hectares.
📊 Median patch size is just 0.02 ha or less (1–2 pixels at Sentinel-1/Sentinel-2 resolution).
This confirms an extreme power-law hyper-concentration across the urban landscape:
Fewer than 0.09% of all patches (just 50 out of 58,673) account for 52.29% of the city's total green cover (over 20,400 ha).
☝️ The urban spatial fabric effectively splits into "two worlds":
🔹 Ecological Backbone (Top-50): Just 50 large contiguous tracts (Nose Hill Park, Fish Creek Provincial Park, the Bow and Elbow river valleys, ravine systems, and peripheral grasslands) form Calgary's unbroken ecological framework.
🔹 Fragmented Urban Matrix (58,623 patches): The remaining 47.7% of urban vegetation is dispersed across tens of thousands of residential lawns, private yards, and road medians, with an average patch size of ~0.3 ha.

#SpatialDataScience #UrbanResilience #GreennessOfCalgary #WildfireRisk

🌳 Calgary's municipal boundaries contain 58,673 contiguous vegetative clusters ("patches") covering a total area of 39,008.75 hectares.
📊 Median patch size is just 0.02 ha or less (1–2 pixels at Sentinel-1/Sentinel-2 resolution).
This confirms an extreme power-law hyper-concentration across the urban landscape:
Fewer than 0.09% of all patches (just 50 out of 58,673) account for 52.29% of the city's total green cover (over 20,400 ha).
☝️ The urban spatial fabric effectively splits into "two worlds":
🔹 Ecological Backbone (Top-50): Just 50 large contiguous tracts (Nose Hill Park, Fish Creek Provincial Park, the Bow and Elbow river valleys, ravine systems, and peripheral grasslands) form Calgary's unbroken ecological framework.
🔹 Fragmented Urban Matrix (58,623 patches): The remaining 47.7% of urban vegetation is dispersed across tens of thousands of residential lawns, private yards, and road medians, with an average patch size of ~0.3 ha.

#SpatialDataScience #UrbanResilience #GreennessOfCalgary #WildfireRisk

🌳 Calgary's municipal boundaries contain 58,673 contiguous vegetative clusters ("patches") covering a total area of 39,008.75 hectares.
📊 Median patch size is just 0.02 ha or less (1–2 pixels at Sentinel-1/Sentinel-2 resolution).
This confirms an extreme power-law hyper-concentration across the urban landscape:
Fewer than 0.09% of all patches (just 50 out of 58,673) account for 52.29% of the city's total green cover (over 20,400 ha).
☝️ The urban spatial fabric effectively splits into "two worlds":
🔹 Ecological Backbone (Top-50): Just 50 large contiguous tracts (Nose Hill Park, Fish Creek Provincial Park, the Bow and Elbow river valleys, ravine systems, and peripheral grasslands) form Calgary's unbroken ecological framework.
🔹 Fragmented Urban Matrix (58,623 patches): The remaining 47.7% of urban vegetation is dispersed across tens of thousands of residential lawns, private yards, and road medians, with an average patch size of ~0.3 ha.

#SpatialDataScience #UrbanResilience #GreennessOfCalgary #WildfireRisk

🔥 Mapping Calgary's Fuel Continuity: Where Can Wildfire Actually Spread?

In a baseline, unsuppressed fire scenario ("apocalyptic scenario"), surface fires can only sustain a continuous front where vegetation forms an unbroken canopy or grassland corridor.

Using my 2025 Calgary Land Cover Model (v6.0), I isolated all vegetated pixels and calculated the spatial continuity and total area of every single contiguous fuel patch across the city:
🌾 The Nose Hill Island (~1,100 ha): A massive grassland fuel bed right in the city's heart.
🌲 River Corridors (Fish Creek Provincial Park & Bow Valley, 500–1,500 ha): Linear fuel superclusters acting as natural conduits.
🏙️ Urban Built-up Fragmentation: Inside established communities, the continuous network of asphalt, concrete, and roofing fractures vegetation into micro-patches (< 1 ha).

#GIS #RemoteSensing #EarthObservation #Calgary #SpatialDataScience #LandCover #MachineLearning #GreennessOfCalgary #Rstats #UrbanTrees #TreeCanopy #UrbanHealth #Wildfire

🔥 Mapping Calgary's Fuel Continuity: Where Can Wildfire Actually Spread?

In a baseline, unsuppressed fire scenario ("apocalyptic scenario"), surface fires can only sustain a continuous front where vegetation forms an unbroken canopy or grassland corridor.

Using my 2025 Calgary Land Cover Model (v6.0), I isolated all vegetated pixels and calculated the spatial continuity and total area of every single contiguous fuel patch across the city:
🌾 The Nose Hill Island (~1,100 ha): A massive grassland fuel bed right in the city's heart.
🌲 River Corridors (Fish Creek Provincial Park & Bow Valley, 500–1,500 ha): Linear fuel superclusters acting as natural conduits.
🏙️ Urban Built-up Fragmentation: Inside established communities, the continuous network of asphalt, concrete, and roofing fractures vegetation into micro-patches (< 1 ha).

#GIS #RemoteSensing #EarthObservation #Calgary #SpatialDataScience #LandCover #MachineLearning #GreennessOfCalgary #Rstats #UrbanTrees #TreeCanopy #UrbanHealth #Wildfire

🔥 Mapping Calgary's Fuel Continuity: Where Can Wildfire Actually Spread?

In a baseline, unsuppressed fire scenario ("apocalyptic scenario"), surface fires can only sustain a continuous front where vegetation forms an unbroken canopy or grassland corridor.

Using my 2025 Calgary Land Cover Model (v6.0), I isolated all vegetated pixels and calculated the spatial continuity and total area of every single contiguous fuel patch across the city:
🌾 The Nose Hill Island (~1,100 ha): A massive grassland fuel bed right in the city's heart.
🌲 River Corridors (Fish Creek Provincial Park & Bow Valley, 500–1,500 ha): Linear fuel superclusters acting as natural conduits.
🏙️ Urban Built-up Fragmentation: Inside established communities, the continuous network of asphalt, concrete, and roofing fractures vegetation into micro-patches (< 1 ha).

#GIS #RemoteSensing #EarthObservation #Calgary #SpatialDataScience #LandCover #MachineLearning #GreennessOfCalgary #Rstats #UrbanTrees #TreeCanopy #UrbanHealth #Wildfire

🔥 Mapping Calgary's Fuel Continuity: Where Can Wildfire Actually Spread?

In a baseline, unsuppressed fire scenario ("apocalyptic scenario"), surface fires can only sustain a continuous front where vegetation forms an unbroken canopy or grassland corridor.

Using my 2025 Calgary Land Cover Model (v6.0), I isolated all vegetated pixels and calculated the spatial continuity and total area of every single contiguous fuel patch across the city:
🌾 The Nose Hill Island (~1,100 ha): A massive grassland fuel bed right in the city's heart.
🌲 River Corridors (Fish Creek Provincial Park & Bow Valley, 500–1,500 ha): Linear fuel superclusters acting as natural conduits.
🏙️ Urban Built-up Fragmentation: Inside established communities, the continuous network of asphalt, concrete, and roofing fractures vegetation into micro-patches (< 1 ha).

#GIS #RemoteSensing #EarthObservation #Calgary #SpatialDataScience #LandCover #MachineLearning #GreennessOfCalgary #Rstats #UrbanTrees #TreeCanopy #UrbanHealth #Wildfire

🔥 Mapping Calgary's Fuel Continuity: Where Can Wildfire Actually Spread?

In a baseline, unsuppressed fire scenario ("apocalyptic scenario"), surface fires can only sustain a continuous front where vegetation forms an unbroken canopy or grassland corridor.

Using my 2025 Calgary Land Cover Model (v6.0), I isolated all vegetated pixels and calculated the spatial continuity and total area of every single contiguous fuel patch across the city:
🌾 The Nose Hill Island (~1,100 ha): A massive grassland fuel bed right in the city's heart.
🌲 River Corridors (Fish Creek Provincial Park & Bow Valley, 500–1,500 ha): Linear fuel superclusters acting as natural conduits.
🏙️ Urban Built-up Fragmentation: Inside established communities, the continuous network of asphalt, concrete, and roofing fractures vegetation into micro-patches (< 1 ha).

#GIS #RemoteSensing #EarthObservation #Calgary #SpatialDataScience #LandCover #MachineLearning #GreennessOfCalgary #Rstats #UrbanTrees #TreeCanopy #UrbanHealth #Wildfire

🔥 Calgary Urban Heat: How the Solid-to-Tree Ratio drives an 8°C gap

My Summer 2025 ML satellite analysis reveals a direct relationship between a community's built-to-canopy footprint and surface temperature (LST):

🌳 Cooling Refuges (~29.5–31°C): Roxboro, Rideau Park, Discovery Ridge, Eau Claire (mature canopies + river valleys).
🔥 Northeast Heat Dome (~37–38°C): Marlborough, Rundle, Temple (dense low-rise footprint, minimal mature canopy).
🏗️ New Suburbs: Seton, Redstone, Rangeview (canopy lag: fully built out, but young saplings need years to mature).

🌲 Urban trees are not decorative landscaping — they are critical municipal climate infrastructure.

#GIS #RemoteSensing #YYC #EarthObservation #Calgary #SpatialDataScience #LandCover #MachineLearning #Geoscience #GreennessOfCalgary #Rstats #UrbanTrees #TreeCanopy #UrbanHealth

🔥 Calgary Urban Heat: How the Solid-to-Tree Ratio drives an 8°C gap

My Summer 2025 ML satellite analysis reveals a direct relationship between a community's built-to-canopy footprint and surface temperature (LST):

🌳 Cooling Refuges (~29.5–31°C): Roxboro, Rideau Park, Discovery Ridge, Eau Claire (mature canopies + river valleys).
🔥 Northeast Heat Dome (~37–38°C): Marlborough, Rundle, Temple (dense low-rise footprint, minimal mature canopy).
🏗️ New Suburbs: Seton, Redstone, Rangeview (canopy lag: fully built out, but young saplings need years to mature).

🌲 Urban trees are not decorative landscaping — they are critical municipal climate infrastructure.

#GIS #RemoteSensing #YYC #EarthObservation #Calgary #SpatialDataScience #LandCover #MachineLearning #Geoscience #GreennessOfCalgary #Rstats #UrbanTrees #TreeCanopy #UrbanHealth

🔥 Calgary Urban Heat: How the Solid-to-Tree Ratio drives an 8°C gap

My Summer 2025 ML satellite analysis reveals a direct relationship between a community's built-to-canopy footprint and surface temperature (LST):

🌳 Cooling Refuges (~29.5–31°C): Roxboro, Rideau Park, Discovery Ridge, Eau Claire (mature canopies + river valleys).
🔥 Northeast Heat Dome (~37–38°C): Marlborough, Rundle, Temple (dense low-rise footprint, minimal mature canopy).
🏗️ New Suburbs: Seton, Redstone, Rangeview (canopy lag: fully built out, but young saplings need years to mature).

🌲 Urban trees are not decorative landscaping — they are critical municipal climate infrastructure.

#GIS #RemoteSensing #YYC #EarthObservation #Calgary #SpatialDataScience #LandCover #MachineLearning #Geoscience #GreennessOfCalgary #Rstats #UrbanTrees #TreeCanopy #UrbanHealth

🔥 Calgary Urban Heat: How the Solid-to-Tree Ratio drives an 8°C gap

My Summer 2025 ML satellite analysis reveals a direct relationship between a community's built-to-canopy footprint and surface temperature (LST):

🌳 Cooling Refuges (~29.5–31°C): Roxboro, Rideau Park, Discovery Ridge, Eau Claire (mature canopies + river valleys).
🔥 Northeast Heat Dome (~37–38°C): Marlborough, Rundle, Temple (dense low-rise footprint, minimal mature canopy).
🏗️ New Suburbs: Seton, Redstone, Rangeview (canopy lag: fully built out, but young saplings need years to mature).

🌲 Urban trees are not decorative landscaping — they are critical municipal climate infrastructure.

#GIS #RemoteSensing #YYC #EarthObservation #Calgary #SpatialDataScience #LandCover #MachineLearning #Geoscience #GreennessOfCalgary #Rstats #UrbanTrees #TreeCanopy #UrbanHealth

🔥 Calgary Urban Heat: How the Solid-to-Tree Ratio drives an 8°C gap

My Summer 2025 ML satellite analysis reveals a direct relationship between a community's built-to-canopy footprint and surface temperature (LST):

🌳 Cooling Refuges (~29.5–31°C): Roxboro, Rideau Park, Discovery Ridge, Eau Claire (mature canopies + river valleys).
🔥 Northeast Heat Dome (~37–38°C): Marlborough, Rundle, Temple (dense low-rise footprint, minimal mature canopy).
🏗️ New Suburbs: Seton, Redstone, Rangeview (canopy lag: fully built out, but young saplings need years to mature).

🌲 Urban trees are not decorative landscaping — they are critical municipal climate infrastructure.

#GIS #RemoteSensing #YYC #EarthObservation #Calgary #SpatialDataScience #LandCover #MachineLearning #Geoscience #GreennessOfCalgary #Rstats #UrbanTrees #TreeCanopy #UrbanHealth

🔥 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

🔥 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

🔥 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

🔥 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

🔥 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

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