2008 Study:
High resolution land cover dataset for Toronto with eight land cover classes: (1) tree canopy, (2) grass/shrub, (3) bare earth, (4) water, (5) buildings, (6) roads, (7) other paved surfaces and (8) agriculture. This dataset was developed in 2007 as part of an Urban Tree Canopy (UTC) Assessment for Toronto. As such, it represents a "top down" mapping perspective in which tree canopy over hanging other features is assigned to the tree canopy class. At the time of its creation this dataset represents the most detailed and accurate land cover dataset for the area.
Projected coordinate system name: MTM_3Degree
Geographic coordinate system name: GCS_North_American_1927
Urban Forestry performs a complete Forest and Land Cover survey and analysis every 10 years. The next installment of this survey is taking place in 2018.
2018 Study:
High resolution land cover dataset for Toronto with eight land cover classes: (1) tree (2) grass (3) bare (4) water (5) building (6) road (7) other paved surfaces and (8) shrub. This dataset was developed in 2018 as part of the Tree Canopy Study prepared for Toronto. As such, it represents a "top down" mapping perspective in which tree canopy cover hanging over other features is assigned to the tree canopy class. At the time of its creation this dataset represents the most detailed and accurate land cover dataset for the City. Classes 1, 2, 3 and 8 (tree, grass, bare and shrub) were extracted from multispectral satellite imagery, with the assistance of LiDAR information.