This repo is a work in progress. Code is not fully developed or properly annotated yet. Proceed at your own risk. These analyses are meant to be a beginner-friendly introduction to working with remote sensing data and open source data portals, and may be used as training material in the future.

When apartment hunting in Toronto, I was deciding between places in two nearby neighborhoods, and greenspace in the neighborhood was an important factor to consider. In this project, I compare green space and urban forest cover between two neighborhoods. I make some simplified calculations estimating green space using NDVI from remote sensing data, and I estimate summer tree/leaf cover area using the tree point data from the open data portal from the city of Toronto.

Useful Links: Toronto Open Data Portal https://open.toronto.ca/catalogue/

CanopyTO: Summary of Toronto's Urban Forest https://www.toronto.ca/legdocs/mmis/2020/ie/bgrd/backgroundfile-141367.pdf

Every Tree Counts: A Portrait of Toronto's Urban Forest https://www.itreetools.org/documents/349/Toronto_Every_Tree_Counts.pdf