Displaying 1 - 10 of 22
Satellite image of smoke from wildfires.
Wildland Fires
Climate
Disasters
Ecological Conservation
Health & Air Quality

ARSET - Satellite Observations and Tools for Fire Risk, Detection, and Analysis

Training Type
Online Instructor-Led
Level
Intermediate
Date
May 11, 2021 - May 27, 2021
Satellite image of smoke from wildfires.
Wildland Fires
Climate
Disasters
Ecological Conservation
Health & Air Quality

ARSET - Observaciones de Satélites y Herramientas para el Riesgo, Detección y Análisis de Incendios

Training Type
Online Instructor-Led
Level
Intermediate
Date
May 11, 2021 - May 27, 2021
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...
Fall 2022 Maldives Climate

Monitoring Shoreline Change and Island Loss in Response to Climate Change

Topic
DEVELOP
Climate
Capacity Building
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...
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...
Eastern region of the Baa Atoll in the Republic of Maldives. The red indicates areas that would likely be flooded by 2100 according to the most extreme IPCC AR6 Shared Socioeconomic Pathway scenario, as identified through the NASA Sea Level Projection Tool. CoastalDEM, derived from NASA's SRTM sensor, provided elevation data. The base map image was taken in January 2023 by Planet Labs. Shades of yellow and green indicate shallow water and land surfaces. Includes copyrighted material of Planet Labs PBC. All

Evaluating the Potential Impacts of Sea Level Rise on Human Development and Coastal Infrastructure   

Topic
DEVELOP
Climate
Capacity Building
Maldives Climate II (Spring 2023) Team: Ben Dahan (Project Lead), Evan Barrett, Tiffany Hsu, Gabriel Halaweh Summary: The Republic of the Maldives is a low-lying...
Soil organic carbon (SOC) is measured here for a depth of 0-5cm from Soil Moisture Active Passive from January 1, 2021 over Peru and Bolivia. SOC is visualized against combined MODIS landcover data for the year 2000 from Aqua and Terra. Shades of lighter pink indicate lower SOC content and darker shades of pink and purple indicate higher SOC content. Conservation International is interested in mapping areas of high SOC content for their conservation efforts.

Estimating Soil Organic Carbon using NASA Earth Observations to Inform Irrecoverable Carbon Reserve Management in Peru and Bolivia

Topic
DEVELOP
Climate
Peru & Bolivia Climate (2023 Spring) Team: Aarti Arora (Project Lead), Aaron Carr, Arina Fuqua, Haydee Portillo Summary: Irrecoverable carbon (IC) reserves contain large stores...

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