Story Credits: Article and design by
Julia Twichell at American Forests. Shade modeling and data analysis by
Dr. Isaac Buo. Collaboration, review, and analysis by
Lana Zimmerman and
Dr. V. Kelly Turner at UCLA Luskin Center. Computational support by
ASU SHaDE Lab. Collaboration and review by Sydnie Levell, Carsen Daniel, and Darien Clary at Austin ISD; and Amir Emamian and Coleen Gentles at City of Austin. Story construction by
Geri Rosenberg at American Forests. This project was made possible by funding from the Robert Wood Johnson Foundation.
For more information about UCLA Luskin Center's shade data, please contact Dr. V. Kelly Turner, Associate Professor of Urban Planning and Geography, at
vkturner@ucla.edu.
Photos provided by City of Austin Transportation Department.
1 Adams, C. (October 14, 2024). “How often does Austin hit 100°? Here's a breakdown by date, month, year and decade.” KXAN News,
https://www.kxan.com/weather/weather-blog/austin-is-hitting-100-degrees-more-frequently-heres-when-its-most-common.
2 Turner, V. K. et al. (2023). “The problem with hot schoolyards.” UCLA Luskin Center for Innovation,
https://innovation.luskin.ucla.edu/publication/the-problem-with-hot-schools/.
Methods: One-meter resolution shade was modeled at noon (minimum shade), 3 p.m. (hottest time of day), and 6 p.m. (maximum shade) using high-resolution 2021 USGS LIDAR point cloud data and Microsoft Building Footprints on June 21, the longest day of the year.
Four surface models were created using LIDAR: (1) all features above ground (FDSM), (2) ground elevations, (3) a Building Surface Model and (4) a Canopy Model. A Building Surface Model was generated by extracting pixels in the FDSM within Microsoft Building Footprints. The Canopy Model extracted all other pixels in the FDSM, and defined trees and other non-building shade features as pixels with heights greater than 1.3 meters. All other above-ground elevations were set to 0 because they are not high enough to provide shade for the average person standing outdoors (Buo et al., 2023). The Canopy Model predominantly reflects tree shade; however, it also contains other non-building features such as shade sails that are treated like trees.
The shadowing function of the SOlar LongWave Environmental Irradiance Geometry (SOLWEIG) model proposed by Lindberg et al. (2008) simulated the shade distribution from surface models at 1-m resolution. Total shade is a function of the transmissivity of foliated vegetation for shortwave radiation and shadows from buildings and tree canopy (Lindberg & Grimmond, 2011).
Unlike shade generated from the Building Surface Model, shadows from the Canopy Model can occur underneath an elevated feature (such as under tree canopy, a bridge, or a shade sail). The result are binary rasters that indicate the presence or absence of shade, including building shade, tree and other shade and total shade rasters. These rasters can be analyzed to calculate percent shade cover for any polygon using zonal statistics.
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