#greennessofcalgary — Public Fediverse posts

🔥 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

🛰️ 242 Million Pixels: Calgary’s Urban Heat Pulse

To model Calgary’s #UHI with precision, I processed 242,376,352 pixels from Sentinel-2 & Landsat 8/9 (Summer 2025).

Using multi-temporal composites in #RStats on #Debian, I’ve revealed the persistent link between greenery & heat. Data shows that NDVI > 0.35 triggers a sharp drop in surface temp.

This is a foundational layer for my Multi-Dimensional Environmental Matrix (#MDEM) framework for #UrbanHealth.

#Calgary #GIS #RemoteSensing #Sustainability #yyc #ClimateResilience #GreennessOfCalgary

🛰️ 242 Million Pixels: Calgary’s Urban Heat Pulse

To model Calgary’s #UHI with precision, I processed 242,376,352 pixels from Sentinel-2 & Landsat 8/9 (Summer 2025).

Using multi-temporal composites in #RStats on #Debian, I’ve revealed the persistent link between greenery & heat. Data shows that NDVI > 0.35 triggers a sharp drop in surface temp.

This is a foundational layer for my Multi-Dimensional Environmental Matrix (#MDEM) framework for #UrbanHealth.

#Calgary #GIS #RemoteSensing #Sustainability #yyc #ClimateResilience #GreennessOfCalgary

🛰️ 242 Million Pixels: Calgary’s Urban Heat Pulse

To model Calgary’s #UHI with precision, I processed 242,376,352 pixels from Sentinel-2 & Landsat 8/9 (Summer 2025).

Using multi-temporal composites in #RStats on #Debian, I’ve revealed the persistent link between greenery & heat. Data shows that NDVI > 0.35 triggers a sharp drop in surface temp.

This is a foundational layer for my Multi-Dimensional Environmental Matrix (#MDEM) framework for #UrbanHealth.

#Calgary #GIS #RemoteSensing #Sustainability #yyc #ClimateResilience #GreennessOfCalgary

🛰️ 242 Million Pixels: Calgary’s Urban Heat Pulse

To model Calgary’s #UHI with precision, I processed 242,376,352 pixels from Sentinel-2 & Landsat 8/9 (Summer 2025).

Using multi-temporal composites in #RStats on #Debian, I’ve revealed the persistent link between greenery & heat. Data shows that NDVI > 0.35 triggers a sharp drop in surface temp.

This is a foundational layer for my Multi-Dimensional Environmental Matrix (#MDEM) framework for #UrbanHealth.

#Calgary #GIS #RemoteSensing #Sustainability #yyc #ClimateResilience #GreennessOfCalgary

🛰️ 242 Million Pixels: Calgary’s Urban Heat Pulse

To model Calgary’s #UHI with precision, I processed 242,376,352 pixels from Sentinel-2 & Landsat 8/9 (Summer 2025).

Using multi-temporal composites in #RStats on #Debian, I’ve revealed the persistent link between greenery & heat. Data shows that NDVI > 0.35 triggers a sharp drop in surface temp.

This is a foundational layer for my Multi-Dimensional Environmental Matrix (#MDEM) framework for #UrbanHealth.

#Calgary #GIS #RemoteSensing #Sustainability #yyc #ClimateResilience #GreennessOfCalgary

How did Calgary respond to the wet summer of 2025?
Here’s the median summer NDVI map derived from Sentinel-2 imagery.
You can clearly see the Bow River corridor, Nose Hill Park, and the contrast between established tree-rich communities and newer developments.

Full analysis here:
https://www.datastory.org.ua/how-much-greener-is-calgary-in-2025/

#Geospatial #NDVI #UrbanClimate #Calgary #RStats #GreennessOfCalgary #yyc #Apberta #QGIS #foss4g #EnvironmentalMonitoring #UrbanHealth

How did Calgary respond to the wet summer of 2025?
Here’s the median summer NDVI map derived from Sentinel-2 imagery.
You can clearly see the Bow River corridor, Nose Hill Park, and the contrast between established tree-rich communities and newer developments.

Full analysis here:
https://www.datastory.org.ua/how-much-greener-is-calgary-in-2025/

#Geospatial #NDVI #UrbanClimate #Calgary #RStats #GreennessOfCalgary #yyc #Apberta #QGIS #foss4g #EnvironmentalMonitoring #UrbanHealth

How did Calgary respond to the wet summer of 2025?
Here’s the median summer NDVI map derived from Sentinel-2 imagery.
You can clearly see the Bow River corridor, Nose Hill Park, and the contrast between established tree-rich communities and newer developments.

Full analysis here:
https://www.datastory.org.ua/how-much-greener-is-calgary-in-2025/

#Geospatial #NDVI #UrbanClimate #Calgary #RStats #GreennessOfCalgary #yyc #Apberta #QGIS #foss4g #EnvironmentalMonitoring #UrbanHealth

How did Calgary respond to the wet summer of 2025?
Here’s the median summer NDVI map derived from Sentinel-2 imagery.
You can clearly see the Bow River corridor, Nose Hill Park, and the contrast between established tree-rich communities and newer developments.

Full analysis here:
https://www.datastory.org.ua/how-much-greener-is-calgary-in-2025/

#Geospatial #NDVI #UrbanClimate #Calgary #RStats #GreennessOfCalgary #yyc #Apberta #QGIS #foss4g #EnvironmentalMonitoring #UrbanHealth

Comparison of the median-seasoned NDVI for central Calgary: 2024 vs 2025

Here is a side-by-side look at how the vegetation conditions in central Calgary changed between two years, using median-seasoned NDVI maps derived from Sentinel-2 imagery.

You can clearly see the interannual differences in greenness — especially in parks, riparian zones, and residential areas with large tree cover.
The spatial patterns remain stable, but 2025 shows noticeably higher NDVI in many neighbourhoods due to more favourable moisture conditions.

This is part of my ongoing project on analyzing the vegetation dynamics of Calgary communities: #GreennessOfCalgary

#RemoteSensing #EarthObservation #NDVI #Sentinel2 #Calgary #UrbanEcology #GIS #RStats #DataAnalysis #EnvironmentalMonitoring #Copernicus #Alberta #Canada #YYC #UrbanHealth #QGIS #FOSS

Comparison of the median-seasoned NDVI for central Calgary: 2024 vs 2025

Here is a side-by-side look at how the vegetation conditions in central Calgary changed between two years, using median-seasoned NDVI maps derived from Sentinel-2 imagery.

You can clearly see the interannual differences in greenness — especially in parks, riparian zones, and residential areas with large tree cover.
The spatial patterns remain stable, but 2025 shows noticeably higher NDVI in many neighbourhoods due to more favourable moisture conditions.

This is part of my ongoing project on analyzing the vegetation dynamics of Calgary communities: #GreennessOfCalgary

#RemoteSensing #EarthObservation #NDVI #Sentinel2 #Calgary #UrbanEcology #GIS #RStats #DataAnalysis #EnvironmentalMonitoring #Copernicus #Alberta #Canada #YYC #UrbanHealth #QGIS #FOSS

Comparison of the median-seasoned NDVI for central Calgary: 2024 vs 2025

Here is a side-by-side look at how the vegetation conditions in central Calgary changed between two years, using median-seasoned NDVI maps derived from Sentinel-2 imagery.

You can clearly see the interannual differences in greenness — especially in parks, riparian zones, and residential areas with large tree cover.
The spatial patterns remain stable, but 2025 shows noticeably higher NDVI in many neighbourhoods due to more favourable moisture conditions.

This is part of my ongoing project on analyzing the vegetation dynamics of Calgary communities: #GreennessOfCalgary

#RemoteSensing #EarthObservation #NDVI #Sentinel2 #Calgary #UrbanEcology #GIS #RStats #DataAnalysis #EnvironmentalMonitoring #Copernicus #Alberta #Canada #YYC #UrbanHealth #QGIS #FOSS

Comparison of the median-seasoned NDVI for central Calgary: 2024 vs 2025

Here is a side-by-side look at how the vegetation conditions in central Calgary changed between two years, using median-seasoned NDVI maps derived from Sentinel-2 imagery.

You can clearly see the interannual differences in greenness — especially in parks, riparian zones, and residential areas with large tree cover.
The spatial patterns remain stable, but 2025 shows noticeably higher NDVI in many neighbourhoods due to more favourable moisture conditions.

This is part of my ongoing project on analyzing the vegetation dynamics of Calgary communities: #GreennessOfCalgary

#RemoteSensing #EarthObservation #NDVI #Sentinel2 #Calgary #UrbanEcology #GIS #RStats #DataAnalysis #EnvironmentalMonitoring #Copernicus #Alberta #Canada #YYC #UrbanHealth #QGIS #FOSS

My experiment with land-cover classification for Calgary using satellite imagery and with a machine-learning model trained on data from another continent.

The results turned out surprisingly good — most classes transferred almost perfectly.
The only noticeable shift was the Forest class: tree and shrub vegetation in the source region differs from Calgary’s, so the model mapped it conservatively here.

Still, the general structure of the landscape was captured very well, and community-level land-cover profiles look consistent.

#Rstats #RemoteSensing #GIS #MachineLearning #LandCover #Calgary #EarthObservation #LULC #GreennessOfCalgary #QGIS #UrbanHealth #Alberta #Canada #Sentinel #Copernicus #CopernicusSentinel #Sentinel1 #Sentinel2 #ESA #DataScience #FOSS #UrbanEcology #UrbanNature

My experiment with land-cover classification for Calgary using satellite imagery and with a machine-learning model trained on data from another continent.

The results turned out surprisingly good — most classes transferred almost perfectly.
The only noticeable shift was the Forest class: tree and shrub vegetation in the source region differs from Calgary’s, so the model mapped it conservatively here.

Still, the general structure of the landscape was captured very well, and community-level land-cover profiles look consistent.

#Rstats #RemoteSensing #GIS #MachineLearning #LandCover #Calgary #EarthObservation #LULC #GreennessOfCalgary #QGIS #UrbanHealth #Alberta #Canada #Sentinel #Copernicus #CopernicusSentinel #Sentinel1 #Sentinel2 #ESA #DataScience #FOSS #UrbanEcology #UrbanNature

My experiment with land-cover classification for Calgary using satellite imagery and with a machine-learning model trained on data from another continent.

The results turned out surprisingly good — most classes transferred almost perfectly.
The only noticeable shift was the Forest class: tree and shrub vegetation in the source region differs from Calgary’s, so the model mapped it conservatively here.

Still, the general structure of the landscape was captured very well, and community-level land-cover profiles look consistent.

#Rstats #RemoteSensing #GIS #MachineLearning #LandCover #Calgary #EarthObservation #LULC #GreennessOfCalgary #QGIS #UrbanHealth #Alberta #Canada #Sentinel #Copernicus #CopernicusSentinel #Sentinel1 #Sentinel2 #ESA #DataScience #FOSS #UrbanEcology #UrbanNature

My experiment with land-cover classification for Calgary using satellite imagery and with a machine-learning model trained on data from another continent.

The results turned out surprisingly good — most classes transferred almost perfectly.
The only noticeable shift was the Forest class: tree and shrub vegetation in the source region differs from Calgary’s, so the model mapped it conservatively here.

Still, the general structure of the landscape was captured very well, and community-level land-cover profiles look consistent.

#Rstats #RemoteSensing #GIS #MachineLearning #LandCover #Calgary #EarthObservation #LULC #GreennessOfCalgary #QGIS #UrbanHealth #Alberta #Canada #Sentinel #Copernicus #CopernicusSentinel #Sentinel1 #Sentinel2 #ESA #DataScience #FOSS #UrbanEcology #UrbanNature