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Disasters

Team Members: Miriam Marlier (University of California, Los Angeles), Claire Schollaert (University of Washington), Diane Garcia-Gonzales (University of California, Los Angeles), Michael Jerret (University of...

Disasters

Agriculture

ARSET - Building Capacity to Use Earth Observations in Addressing Environmental Challenges in Bhutan

Training Type

In-Person Training

Level

Intermediate

Date

May 13, 2024 - May 16, 2024

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

Health & Air Quality

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

Health & Air Quality

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...

Mapping heat vulnerability in New York City and Jersey City. We use a series of variables to map vulnerability to heat under different scenarios and for different groups. Our project aims to offer a more nuanced approach in mapping vulnerability.

Developing an interactive data portal for connecting vulnerable communities to the science of urban heat mitigation

Topic

Team Members: Travis Flohr; Penn State University (Co-I); Peter Marcotullio; Hunter College (Co-I); Andrew Reinmann; Hunter College (Co-I); Rosy George; Hunter College (Graduate Research Assistant)...

Albedo derived from Landsat 8 & 9 OLI data throughout summer 2019 to 2023. White beige pixels signify effective solar radiation reflection (higher albedo), followed by peach, violet, and dark purple. This data is input for the InVEST Urban Cooling model, which calculates heat dissipation efficiency. Light-colored roofs and dense vegetation can increase albedo. Urban areas with lots of purple patches may be more vulnerable to heat, making them a priority for heat mitigation efforts.

Monitoring Heat and Assessing Heat Vulnerability to Identify Locations for Mitigation Efforts in Sarasota, Florida

Topic

DEVELOP