Quantifying 3-D shade provision in urban landscape: multi-city comparison and relationship to land surface temperatures

Authors: Qiuyan Yu*, University of South Florida, Ruiliang Pu, University of South Florida, Shawn Landry, University of South Florida
Topics: Remote Sensing, Urban and Regional Planning, Environmental Science
Keywords: Urban heat island, shade, LiDAR, land surface temperature
Session Type: Paper
Day: 4/12/2018
Start / End Time: 10:00 AM / 11:40 AM
Room: Studio 10, Marriott, 2nd Floor
Presentation File: No File Uploaded

UHI affects thermal comfort and influences residents’ level of outdoor activities and their utilization of urban space. Vegetation shade is a simple and effective way of mitigating UHI effect in urban areas. Many studies have been dedicated to evaluating shade effects using tree canopy extracted from remote sensing images or field measurements . However, quantification of shade provision is limited to the time when the remote sensing image or field data is captured. Meanwhile, most research only examined cooling effects of shade in a single city, and the results are not transferable between cities. In this study, we developed an illumination simulation model (ISM) to quantify the shade provision of urban trees and evaluated the cooling effects of the tree shade on UHI in five USA cities in different climatic regions (Tampa, FL, NYC, NY, Chicago, IL, San Diego, CA, and Seattle, WA). LiDAR and high-resolution land cover data together with Landsat thermal data were employed in this study. Several outcomes were made via this study. (1) An illumination simulation model (ISM) was developed that could accurately estimate shade provision of trees by characterizing their 3D profile; (2) tree shades at any time of a day for any given site could be quantified using ISM; and (3) the cooling effects of tree shade could be evaluated by examining the correlation of land surface temperature with shade. (4) Furthermore, through conducting a multi-city comparison, it is expected that the study can provide important insights on how shade effect varies among cities

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