Abstract Urban trees are increasingly used by cities for cooling and climate adaptation. However, efforts to increase tree cover across cities have neglected to account for the trees' health and function, which are known to control their associated environmental benefits but have been difficult to assess at scales relevant for management. Here, we use remotely sensed, high resolution canopy temperature as a proxy for tree health and function and evaluate its relation to the built environment across Minneapolis‐St. Paul (MSP) using machine learning analyses. We develop a new index that incorporates information on urban trees' health and function, in addition to their presence. This index, when applied across MSP, suggests that canopy benefits may not be distributed equally even in neighborhoods with similar canopy cover. Furthermore, accounting for tree health and function can yield more effective and equitable benefits by guiding the location and magnitude of intervention for urban tree management.
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Minneapolis-St. Paul, MN Canopy Temperature and Combined Urban Tree Index (CUTI), 2018-2021
This dataset includes a series of raster datasets of canopy temperature across Minneapolis-St. Paul, MN at a resolution of approximately 70 meters. There are data from five different warm, summer afternoons from 2018-2021. The canopy temperature data was derived from ECOSTRESS Land Surface Temperature and Emissivity data and high-resolution land cover data using a downscaling approach. Canopy temperature acts as a proxy of canopy health and function, with higher temperatures indicative of higher stress and lower function in the canopy. For each image, we also compute the combined urban tree index (CUTI), a metric we developed that provides an indication of relative benefits from urban canopy which arise from a combination of the amount and function/health of urban canopy (based on the canopy temperature). CUTI ranges from 0-1, with high values indicating areas likely experiencing greater canopy benefits due to greater canopy cover and better canopy health/function.
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- Award ID(s):
- 2045382
- PAR ID:
- 10565736
- Publisher / Repository:
- Environmental Data Initiative
- Date Published:
- Format(s):
- Medium: X
- Sponsoring Org:
- National Science Foundation
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