This NASA environmental justice (EJ) project propose a web-based visualization toolkit that allows accessing and analyzing data from Earth science and high-resolution climate model outputs to spread information and support decision-making regarding air quality and heat in the Chicago metropolitan area. Also, users will be able to explore complementary environmental and social datasets to co-identify extreme heat and air quality threats to health, equity, and crime to improve urban decision-making.

Increase in rainfall intensities and flood propogation due to climate change affects the residents. With the detailed analysis on Quad cities, we identified the regions vulunerable to floods and how those regions can be safeguarded using nature-based solutions (NbS)

As the Federal Highway Administration strategizes where to place EV chargers amid rising sea levels and intensifying rainfall, we are developing an interactive tool to shape the future of sustainable infrastructure. Our dashboard empowers users to pinpoint potential EV charging station locations and instantly assess their flood risk, helping drive smarter, safer decisions for a resilient EV network.

We explicitly mapped the height of trees and buildings (HiTAB) across the city of Chicago at 1 m spatial resolution using a data fusion approach. This approach integrates high-precision light detection and ranging (LiDAR) cloud point data, building footprint inventory, and multi-band satellite images. Given their high spatial resolution, the height maps can be adopted in physical-based and data-driven urban models to achieve higher resolution and accuracy while lowering uncertainties.