Displaying 1 - 8 of 8
2022 Spring AZ Phoenix Climate Website Image

Employing NASA Earth Observations to Conduct Site Suitability Analyses on Residential Tree Planting Initiatives in Phoenix, AZ

Topic
DEVELOP
Climate
Capacity Building
Phoenix Climate (Spring 2022) Team: Alison Bautista (Project Lead), Haley Stuckmeyer, Gloria Liu, Ben Schafermeyer Summary: Phoenix, Arizona is the hottest city in the United...
Present day Island of Hawai'i coastal flood risk, with higher risk indicated in dark blue, was modeled to aid the County of Hawai'i in their shoreline setback plan. Sea Surface Temperature Anomaly (SSTA) data from 2022 GHRSST MODIS indicate low temperatures in the East (red) to high in the West (orange). Inland, high probability locations of wetlands are shown in bright yellow and will aid in climate adaptation planning. ​

Utilizing Earth Observations to Delineate Wetland Extents, Model Sea Level Rise Inundation Risk, and Assess Impacts on Historic Hawaiian Lands

Topic
DEVELOP
Climate
Capacity Building
Hawai'i Island Climate (Summer 2022) Team: Lisa Tanh (Project Lead), Ian Lee, Connor Racette, Matilda Anokye Summary: Climate-induced sea level rise poses a risk to...
NDVI-processed imagery from Landsat 8 OLI data. This composite image of Wichita, KS, was created using 2018–2022 summer imagery. Lighter shades of yellow indicate limited vegetation in built-up areas and bodies of water, while darker shades of purple indicate dense vegetation. Understanding the spatial distribution of vegetation, such as tree canopy, is essential to recognizing and mitigating heat risk, and prioritizing intervention.​

Using Satellite Data to Identify Neighborhoods Vulnerable to Extreme Heat for Equitable Climate Mitigation and Planning 

Topic
DEVELOP
Climate
Capacity Building
Wichita Climate (Summer 2022) Team: Brooke Laird (Project Lead), Melissa Ashbaugh, Muskaan Khemani, Sadie Murray Summary: Wichita, Kansas is facing a host of climate threats...
Landsat 8 OLI data processed into the median NDVI for 2016-2021 with an overlay showing deforestation that occurred during this time period in the Talladega National Forest. The deforestation layer is derived from Global Forest Watch's forest cover data, which uses the Landsat series, and was calculated as the difference between forested areas in 2016 and forested areas in 2021. Shades of green indicate the density of forest, while red areas indicate areas deforested in 2021.

Leveraging Land Cover and Aboveground Biomass Products to Evaluate Carbon Emission Trends in the Talladega National Forest

Topic
DEVELOP
Climate
Capacity Building
Southeast US Climate (Fall 2022) Team: Heidi Rogers (Project Lead), Mistaya Smith, Maggie Mason, Anish Holla Summary: Deforestation, a significant contributor to carbon emissions, is...
Daytime land surface temperature for Wichita, Kansas summer 2017-2022, retrieved through Landsat 8 TIRS and Landsat 9 TIRS-2 surface temperature. Located in the northwest corner of the city, this image depicts higher temperatures through dark orange hues in developed areas, and lighter orange hues to blue colors where the temperature is lower. The land surface temperature was utilized to construct a heat vulnerability index for the city, looking into disproportionate impacts on underserved communities.

Quantifying and Mapping Urban Heat to Inform Equitable and Sustainable Urban Planning Initiatives in Wichita, Kansas

Topic
DEVELOP
Climate
Capacity Building
Wichita Climate II (Fall 2022) Team: Ritisha Ghosh (Project Lead), Richard Kirschner, Ria Mukherjee, Raina Monaghan Summary: Wichita, Kansas is experiencing a host of climate...
Map displaying Oklahoma City Heat Vulnerability Index in 2020.

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

Topic
Urban Development
Climate
Equity and Environmental Justice
Capacity Building
Health & Air Quality
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...
Sophie Krautmann smiles, wearing her grey National Park Ranger buttoned shirt and brown hat. She stands in a high place with the red rock formations visible in the canyon behind her.
DEVELOP
Wildfires
Climate
Capacity Building
Ecological Conservation
Health & Air Quality
Water Resources

Getting Satellite Data into the Hands of Park Rangers

By
Kernel density distributions of census tract-level cooling degree days from May through September 2013 in Fahrenheit by race/ethnicity across the climate regions of New York State. Cooling degree days are calculated with a threshold of 65°. White = Non-Hispanic White, Hispanic = Hispanic/Latino of any race, Black = Non-Hispanic Black, Asian = Non-Hispanic Asian.

Identifying temperature disparities, energy insecurity, and social vulnerability for energy justice in New York State

Topic
Climate
Equity and Environmental Justice
Capacity Building
Health & Air Quality
Identifying temperature disparities, energy insecurity, and social vulnerability for energy justice in New York State Team: Daniel Carrión (Yale School of Public Health), Anna Stouffer...

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