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UHEAT Urban Development (Spring 2022) Team: Akshay Agrawal (Project Lead), Myung Sik Cho, Zainab Farid, Vanessa Machuca Summary: Extreme heat is a leading weather-related cause...

NDWI-processed image derived from Landsat 7 ETM+ data captures the aftermath of a 3-inch rainstorm in Milwaukee, Wisconsin. The composite image shows inundated areas in blue and dried areas in orange a few days after an April 2015 storm. Satellite imagery used in conjunction with hydrological models allow the city to identify areas in need of flood mitigation strategies.

Assessing the Drivers of Urban Flood Vulnerability in Milwaukee using the Integrated Valuation of Ecosystem Services and Tradeoffs Urban Flood Risk Mitigation Model (InVEST)

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Milwaukee Urban Development (Summer 2022) Team: Madeleine Tango (Project Lead), Jack Acomb, Lisa Son, Annika Harrington Summary: Milwaukee County has experienced an increase in flooding...

Summer 2022 Albuquerque Urban Development

Enhancing Urban Cooling Interventions by Modeling Urban Forestry through NASA Earth Observations in Albuquerque, New Mexico

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Albuquerque Urban Development (Summer 2022) Team: Max Stewart, Christina Dennis, Ritisha Ghosh, Richard Kirschner, Steven Nystrom Summary: The City of Albuquerque, New Mexico, is experiencing...

NDVI imagery derived from Landsat 8 OLI data. This imagery showing the California’s Carmel and Salinas Valleys within the surrounding Santa Lucia Mountain range was collected in the Spring of 2019 . Light green areas show the more developed, agriculturally intensive areas of the valley while the dark blue areas show the less developed hills. NDVI calculations were used in models of forest cover changes in the area over time.

Monitoring Land Cover Change to Understand Conservation Outcomes in Coastal California

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Carmel Valley Urban Development (Fall 2022) Team: Cooper Campbell (Project Lead), Julia Portmann, Devina Garcia, Audrey Wilson Summary: Urban expansion in diverse ecosystems has numerous...

Urban extent derived from Landsat 8 OLI data. This image shows urban extent in Guatemala City in 2020 as calculated using the Landtrendr algorithm in Google Earth Engine. The lighter colors of yellow and orange depict urban area, and the darker shades of pink and purple indicate the natural environment. Guatemala City has experienced rapid growth in recent decades, and local decision makers are interested in its impacts on various social and environmental factors.

Evaluating the Effects of Urban Expansion on Social and Environmental Vulnerability in Guatemala and Panama

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Guatemala & Panama Urban Development (Fall 2022) Team: Jennifer Ruiz (Project Lead), Coral Del Mar Valle Rodríguez; Viviana Lademan; Aaron Whittemore Summary: Central America is...

This image of Land Surface Temperature (LST) illustrates the urban heat island (UHI) effect that Milwaukee County experiences. Light orange areas represent hotter temperatures, which are concentrated in the high impervious areas of the city. Darker pinks represent cooler rural areas and underscore the temperature contrast across the landscape. The hotter areas of the city are historically redlined communities of color that disproportionately feel the effects of the UHI, including higher energy bills heat re

Assessing Climate Vulnerability through the InVEST Model on Urban Cooling in Milwaukee Using NASA Earth Observations

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Milwaukee Urban Development II (Fall 2022) Team: Nash Keyes (Project Lead), caleigh McLaren, Nati Phan, Dalia Vazques Summary: Milwaukee’s neighborhoods experience increased social, health, and...

Median land surface temperature (LST) image over Los Angeles from June to August 2022, as derived from Landsat 8 TIRS data. Higher temperatures are shown in red, while cooler temperatures are displayed in blue. LST data can help investigate the impacts of urban cooling initiatives and inform urban planning decisions to mitigate the impacts of heat within the city.

Utilizing NASA Earth Observations to Evaluate the Impact of Tree Coverage on Urban Heat Mitigation

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Los Angeles Urban Development (2023 Spring) Team: Leyla Namazie (Project Lead), Julie Gevorgian, Theodore Ross, Stephanie Hernandez Summary: Over the last several decades the city...

The InVEST urban flood model produces various outputs, like the runoff retention seen here. The model output was derived from GPM IMERG, land cover, soil type, and curve number data. This image is from the extreme rainfall storm event on August 22, 2017. This image shows where the runoff is being retained in Kansas City, KA. The dark purple represents extremely high runoff retention while the yellow represents low retention with the green and blue representing increasing amounts of retention. The background

Incorporating Earth Observation Data into the Integrated Valuation of Ecosystem Services and Tradeoffs (InVEST) Urban Flood Risk Mitigation Model Python API

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InVEST Urban Development (2023 Spring) Team: Son Do & Jessica Besnier Summary: Urban flooding poses as one of the biggest issues for cities today as...

Daytime average land surface temperature over June 2022 from ECOSTRESS, an instrument on the ISS. Warm colors highlight the City of Huntsville, which is surrounded by central North Alabama. In both color gradients, darker colors represent higher temperatures. The Tennessee River, together with Wheeler Lake (left) and Lake Guntersville (right), appear black. Surface temperature is one factor that can help the local government decide where to focus tree-planting efforts to mitigate urban heat.

Utilizing NASA Earth Observations to Map the Urban Heat Island and Evaluate Heat Vulnerability in Huntsville, Alabama

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