🛰️ This is an RGB composite of derived metrics from Calgary satellite imagery at a 10x10m resolution. Extracting these additional urban environmental indicators significantly enhances the quality of data analysis and, consequently, the decisions based on it. Currently, one version of my Tree Canopy model has achieved 96.8% accuracy, a testament to the high precision of the methodology.
💻 I am now retraining the machine learning model to move beyond analyzing Calgary in large blocks and focus on every individual yard. This will allow us to account for not only large forest patches but also, where possible, every mature tree in the city — including those behind your fence or right under your window. These residential trees are what provide the shade, comfort, and fresh air we all enjoy. My goal is to ensure the final assessment reflects the contribution of every single tree to our environmental quality.
#Calgary #yyc #TreeCanopy #GIS #DataScience #GreennesOfCalgary #UrbanEcology








