Displaying 51 - 58 of 58
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
Urban Development
Climate
Equity and Environmental Justice
Ecological Conservation
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
Urban Development
Climate
Equity and Environmental Justice
Health & Air Quality
Project Team: PI Ashish Sharma (Discovery Partners Institute, University of Illinois System); Co-I Matthew Turk (University of Illinois Urbana Champaign); Co-I Edith Makra (Metropolitan Mayors...
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
Urban Development
Climate
Equity and Environmental Justice
Ecological Conservation
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
Climate
Sarasota Climate (2024 Spring) Team: William Hadley (Project Lead), Casmir Brown, Catherine Gallagher, Theresia Phoa Summary: The coastal county of Sarasota, Florida, is located within...
Blue carbon website header image
Climate

ARSET - Earth Observations of Blue Carbon Ecosystems

Training Type
Online Instructor-Led
Level
Intermediate
Date
December 03, 2024 - December 05, 2024
ARSET methane training website header image
Climate

ARSET - Methane Observations for Large Emission Event Detection and Monitoring

Training Type
Online Instructor-Led
Level
Introductory
Date
November 19, 2024 - November 21, 2024
Blue carbon website header image
Climate

ARSET – La Télédétection des Écosystèmes de Carbone Bleu

Training Type
Online Instructor-Led
Level
Intermediate
Date
December 03, 2024 - December 05, 2024
ARSET methane training website header image
Climate

ARSET - Datos de Metano para la Detección y Monitoreo de Grandes Emisiones

Training Type
Online Instructor-Led
Level
Introductory
Date
November 19, 2024 - November 21, 2024

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