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Capacity Building

A spatial decision support system for identifying heat vulnerability based on a comprehensive energy budget model and multi-criteria decision analysis in Oklahoma City, OK Team...

Census tract map of Corpus Christi and runoff factors.

Toward Environmentally and Socially Equitable Stormwater Management Fees: The Case of Corpus Christi in Texas

Topic

Disasters

Water Resources

Team: • Jim Lee (Texas A&M University – Corpus Christi), co-I • Yuxia Huang (Texas A&M University – Corpus Christi), co-I • Lapone Techapinyawat (Texas...

Green infrastructure solutions to support flood mitigation and adaptation in coastal low-lying disadvantaged communities

Topic

Risk & Resilience

Disasters

Team Members: Narcisa G. Pricope (University of North Carolina Wilmington and Mississippi State University), Leah Mayo (University of North Carolina Wilmington), Joanne Halls (University of...

Land surface temperatures for study area (Cuyahoga County, Ohio), as derived from Landsat. Black lines show boundaries of census blocks. Blue dots show the greenspaces and census blocks where the on the ground tree surveys have been conducted, with one census block highlighted as an inset. Image Credit: Rob Moore (Cleveland State).

Improved monitoring and management of urban tree equity: integrating metrics of tree quality with tree cover

Topic

Team: Kevin Mueller (Cleveland State University), Brice Grunert (Cleveland State University), Thomas Hilde (Cleveland State University), Kaiguang Zhao (Ohio State University), Daniel Meaney (Cuyahoga County...

Map of SEMCOG study area showing regions identified by SEMCOG as areas of persistent poverty, overlaid on a map of percent impervious surface for the seven county region.

Addressing Inequitable Flood Risks in Southeast Michigan through Green Infrastructure

Topic

Disasters

Water Resources

Team: Mary Miller (Michigan Technological University), Michael Battaglia (Michigan Technological University), Laura Bourgeau-Chavez (Michigan Technological University), David Watkins (Michigan Technological University), Jessica Alger (Michigan Technological...

2023_EEJwebpages -Saved  SNSN Editing Editing Share Share: this file is shared Comments Catch up Undo There is nothing to redo. Paste Calibri (Body) 11 General Conditional Formatting Conditional Formatting Format As Table Cell Styles Cell Styles Insert Delete Format Sensitivity Add-ins P30 Normalized Difference Vegetation Index (NDVI) of the southwest side of Chicago from 2011 NAIP imagery. High levels of vegetation are dark green while low level

Designing for Just Green Enough: A Data Integration Tool for Informing Community Green Space Planning

Topic

Team Members: Dr. Michelle Stuhlmacher (DePaul University), Dr. Winifred Curran (DePaul University), Dr. Marynia Kolak (University of Illinois, Urbana Champaign), Dajoin Williams (DePaul University), Christopher...

A web application where users can generate scenarios (e.g. select parcels on a map and assign new land use patterns to those areas) and visualize scenarios’ impacts on ecosystem services and patterns of environmental inequity(e.g. the changes in temperature and carbon storage, and demographics of the impacted area)

Investing In Equity and Environmental Justice: An Urban Decision-Support Tool Integrating Earth Observations, Socioeconomic Data, And Ecosystem Service Models

Topic

Team Members: Lingling Liu (University of Minnesota), Joseph F. Knight (University of Minnesota), Chris W Nootenboom (Natural Capital Insights), Gretchen C. Daily (Stanford University), David...

Aerial imagery of New Haven, Connecticut with the average land surface temperature (LST) for 2022 overlaid on top of the image. Areas of higher average temperature are shown in dark red, and areas of comparatively lower average temperature are shown in light pink. In this project, LST analysis is combined with an analysis of vegetative cover and socioeconomic characteristics to identify the neighborhoods most at-risk from heat-related impacts to prioritize for tree planting initiatives.

Earth observations to reduce greenspace and health inequities: Applying multi-decadal and multi-scale satellite imagery to characterize tree canopy and heat exposure to improve policymaking and community well-being

Topic

Team Members: Shijuan Chen (Yale School of the Environment), Michelle Bell (Yale School of the Environment), Xuhui Lee (Yale School of the Environment), Edith Pestana...

Illustration of refining the climate data to communities where it matters. This animation shows our climate downscaled data using machine learning algorithms at 250 m resolution. Our e-JUST framework will use such 3-D representation of urban communities.

e-JUST: Environmental Justice using Urban Scalable Toolkit

Topic