#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

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

🔥 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

🔥 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