Join us Tuesday, September 17, 2024, 12:30 – 1:30 pm PST, AHF B57J Conference Room or on Zoom

Register Here: https://usc.zoom.us/meeting/register/tJAlfuysqzkuEtRqj3WUCTAAH0dfSyIILPtg#/registration

Please register to the link above, even if you plan on attending in person! All Zoom information will be presented after registration!

Spatial Science Institute presents PhD candidates in the Brown Bag Series. Two PhD candidates present their work on how climate affects health and how each can help the community with their work.

The following two talks are:

Bayesian deep learning to generate temperature data at high spatiotemporal resolution by Shengjie Liu

Temperature data at high spatiotemporal resolution is essential to understand the nexus of climate and health. Yet, existing studies are limited to temperature data obtained from weather stations with sparse geographical distributions. Satellites provide large-area observations at low cost but are limited by cloud contamination. In my work, I will utilize Bayesian deep learning for temperature data reconstruction over New York City. The final products are daily data at 30 m resolution and hourly data at 2 km resolution.

and

Matters of Vegetation: Park Cooling In Los Angeles City by Aviva Wolf-Jacobs

Extreme heat causes more deaths and hospitalizations than any other climate hazard in Los Angeles. Parks and urban vegetation are vital public cooling assets during heatwaves. Evidence suggests that park cooling island (PCI) effect, which measures the difference in temperature between a park and its surrounding area, varies greatly for parks within and across cities. Current research on PCI is limited by 2D assessments of vegetation and narrow geographic and temporal scopes. This study uses a mixed effects model to explore the influence of high vegetation (trees, tall shrubs, etc.) volume on PCI effect for all 561 public parks in Los Angeles City. Light Detecting and Ranging (LiDAR) 3D point cloud imagery and Landsat 8-9 30 m resolution thermal imagery are analyzed for all days of extreme heat between 2019 and 2023 in Los Angeles. Results are expected to inform planning efforts aimed at protecting the public from extreme heat in Los Angeles and beyond.