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Location
London, Ontario
Website
https://westernu.maps.arcgis.com/apps/dashboards/61234059488042ccb4ad3b9583e03dee
Start Date
17-11-2021 2:00 PM
End Date
17-11-2021 3:00 PM
Description
Urban trees provide important benefits to communities yet municipalities across Ontario are encountering a decline in their urban tree canopy (UTC). UTC assessment is critical for the management of urban trees, especially in the context of climate change. Geospatial technologies provide a timely and accurate alternative to costly, ground-based assessments. However, they typically require a significant investment in resources, including technical expertise and equipment. For many small-sized municipalities facing the realities of climate change, these investments are cost-prohibitive. The purpose of this study is to assess the UTC within the Town of Lincoln, Ontario, using two different approaches to quantifying the UTC (i.e., remote sensing and a random sampling method). Results indicate that the two approaches are similar in their estimates of the UTC such that the lower-cost option (i.e., random sampling using i-Tree Canopy) may be more appropriate for resource-limited communities.
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Urban Tree Canopy Assessment Using Geospatial Technologies: A Case Study of the Town of Lincoln, Ontario, Lightning Talk (7 min)
London, Ontario
Urban trees provide important benefits to communities yet municipalities across Ontario are encountering a decline in their urban tree canopy (UTC). UTC assessment is critical for the management of urban trees, especially in the context of climate change. Geospatial technologies provide a timely and accurate alternative to costly, ground-based assessments. However, they typically require a significant investment in resources, including technical expertise and equipment. For many small-sized municipalities facing the realities of climate change, these investments are cost-prohibitive. The purpose of this study is to assess the UTC within the Town of Lincoln, Ontario, using two different approaches to quantifying the UTC (i.e., remote sensing and a random sampling method). Results indicate that the two approaches are similar in their estimates of the UTC such that the lower-cost option (i.e., random sampling using i-Tree Canopy) may be more appropriate for resource-limited communities.
https://ir.lib.uwo.ca/wlgisday/2021/lightningtalks/34
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