#greennessofcalgary — Public Fediverse posts
Live and recent posts from across the Fediverse tagged #greennessofcalgary, aggregated by home.social.
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🛰️ 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
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🛰️ 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
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🛰️ 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
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🛰️ 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
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🛰️ 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
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🌳 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
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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