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Kansas City Disasters (Summer 2022) Team: M. René Castillo, Hadwynne Gross, Eric Sjöstedt, Raychell Velez Summary: Pluvial flooding, over-saturated ground, and poor drainage systems disproportionately...

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

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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...

Monitoring Shoreline Change and Island Loss in Response to Climate Change

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Maldives Climate (Fall 2022) Team: Aidan Harvey (Project Lead), Daniel Lopez, Mitch Porter, Derek Chin Summary: Global sea level rise as a result of climate...

NDWI-processed imagery from Landsat 8 Operational Land Imager data. This mosaicked image was taken from January to December 2021 of Jekyll Island, Georgia. NDWI contrasts the water features in a satellite image to its surroundings by measuring the moisture content. Low moisture content is shown in white, and high moisture content is shown in blue.

Evaluating the Impacts of Hurricane Irma on Georgia Heirs Property Owners Using Earth Observations

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Georgia Disasters (Fall 2022) Team: Isabella Chittumuri (Project Lead), Nancee Uniyal, Nathan Tesfayi, Shakirah Rogers Summary: In September 2017, Hurricane Irma made landfall in southern...

NDBI-processed imagery from a June 2022 Landsat 9 OLI-2 image. This composite image shows the cities of Warren (top left) and Youngstown (bottom right). The areas in white and brown represent the built environment. While areas in green represent land that is not as built-up, such as forest. Built-up areas can indicate where surface run off could occur, resulting in pluvial flooding.

Mapping Flood Susceptibility, Vulnerability, and Risk and Tree Canopy Coverage in Northern Ohio to Inform Stormwater Management and Flood Mitigation Efforts

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Youngstown & Warren Disasters (Fall 2022) Team: Lauren Mahoney (Project Lead), David Henriques, Nada Haddad, Thomas Ferrell Summary: Both pluvial and fluvial flooding events pose...

Stormwater retention across Wyandotte County, Kansas. NASA GPM IMERG data for September 2020 – August 2021 and NLCD 2019 Land Cover data were used as model inputs for the InVEST Stormwater Retention Model. One model output included a stormwater retention ratio layer where darker purple values indicate poor stormwater retention and increased flood risk. Areas of poor stormwater retention can then be identified as priority regions for Green Infrastructure initiatives in Wyandotte County.

Analyzing Precipitation and Land Cover Data to Refine the Assessment of Urban Flood Vulnerability

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Kansas City Disasters II (Fall 2022) Team: Nora Carmody (Project Lead), Dain Kim, Kameron Lloyd, Ruby Nagelberg Summary: In pluvial flood events, stormwater runoff can...

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

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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

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