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Climate

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...

2022 Spring CO Boulder County Disasters Website Image

Mapping Forest Carbon Stocks to Understand Carbon Implications of Treatments and Wildfire

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Boulder County Disasters (Spring 2022) Team: Sarah Hettema (Project Lead), Jennifer Rogers, Ibuki Sugiura, Erin Twaddell Summary: In recent years, record-breaking wildfire activities in the...

Automating Wildfire Risk and Occurrence Mapping in Google Earth Engine to Improve Wildfire Detection and Response Time Efforts

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Chile Disasters (Spring 2022) Team: Maria De Los Santos (Project Lead), Cooper Campbell, Karen Alvarez, Hannah Ferriby Summary: Wildfires in Chile in the last decade...

Comparing Feasibility of Flood Detection Methods Using Google Earth Engine and Open Data Cube for Flood Mitigation in Mexico

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Mexico Disasters (Spring 2022) Team: Philip Casey (Project Lead), John Willis, Sean Nelsen, Zachary Silberman Summary: In this project, NASA DEVELOP partnered with Mexico’s National...

Assessing the Landscape and Capacity of Organizations & Communities Working Towards Environmental Justice with Potential to Use NASA Earth Observations to Support Equitable Disaster Management and Risk Reduction

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Environmental Justice Needs Assessment for Disasters (Spring 2022) Team: Julianne Liu (Project Lead), Emma Cooper, Natasha Johnson-Griffin, Keegan Kessler Summary: Natural disasters pose an increasing...

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

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Climate

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...

2010 – 2021 NDWI-processed imagery of the greater Kansas City, Kansas region. This image combines Landsat 5, 7, and 8 highlighting dry areas in yellow through orange. Areas classified as water are identifiable in aqua blue. Areas of darker blue are considered wet but include cityscape. A major problem for urban flooding identification is the mixture of cityscape in wet areas, making it important for further investigation and data processing.

Assessing Environmental and Socioeconomic Factors of Urban Flood Vulnerability in Kansas City, Kansas

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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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Climate