Displaying 141 - 150 of 305

Assessing Estuarine Ecosystems in California for Improved Wetland Monitoring and Management

Topic
DEVELOP
Estuaries are vital ecosystems that serve important ecological functions. The Marine Life Protection Act aims to protect these ecosystems by establishing a network of marine...
Normalized Difference Moisture Index (NDMI) processed 2021 Landsat 8 OLI imagery over land and Sentinel-2 MSI over ocean, ranging from yellow (low) to blue (high), for Hilo, Hawaii. Overlayed with four-day rainfall accumulation cells in blue acquired during Hurricane Lane (Aug 22-25, 2018) from CHIRPS Daily. NDMI monitors water content of leaves and is useful for classifying land cover. Impervious surfaces and areas that have received excessive historical rainfall are susceptible to future flood events.

Using NASA Earth Observations to Assess Coastal Flood Risk with Measures of Land Cover Change, Flood Extent, and Vulnerability for Adaptation and Mitigation Planning on Hawai‘i Island

Topic
DEVELOP
Capacity Building
Disasters
Hawai‘i Island Disasters (Fall 2021) Team: Garren Kalter (Project Lead), Rose Eichelmann, Sanketa Kadam, Erin Azuma, and Anna Mikkelsen Summary: As the County of Hawai‘i...

Evaluating Urban Heat Islands and Flooding to Enhance Green Infrastructure Initiatives in Coastal Communities in Mobile, Alabama

Topic
DEVELOP
This project utilized satellite Earth observations to assess locations in Mobile County, Alabama, that are vulnerable to the urban heat island effect (UHI) and flood...
NDVI over Mato Grosso, Brazil processed from March 2021 Landsat-8 OLI data. Calculated NDVI values correspond with colors shown to indicate plant health. High NDVI values (green to blue) indicate dense vegetation found in tropical and temperate forests or crops at their peak growth. Low values (yellow to red) depict barren land, water, and moisture-stressed vegetation. These data can support timely and efficient agricultural responses to ensure productive yields and food security.​

Enhancing Crop Classification Mapping Using Optical and Radar Satellite Sensors to Enhance Agricultural Management and Policymaking in Mato Grosso, Brazil  

Topic
DEVELOP
Capacity Building
Agriculture
Mato Grosso Agriculture (Summer 2022) Team: Max Rock (Project Lead), Elijah Dalton, Aidan Harvey, Kate Reynolds Summary: Ranked as the fourth largest food producer in...

Employing NASA Earth Observations to Map Riparian Flooding in Guatemala and El Salvador

Topic
DEVELOP
Central America is one of the world’s most vulnerable regions to natural disasters, including landslides and precipitation-driven flooding. In an effort to support disaster management...
NDWI-processed composite image from Landsat 8 OLI data of the Lower Illinois River Valley and surrounding landscapes from summer 2021. Shades of pale yellow indicate dry vegetation and dark teal represents open water, while brighter turquois values depict wet vegetation. Areas of high NDWI values are demonstrative of high presence of wet vegetation and are of interest to the Great Rivers Land Trust in identifying areas of interest for wetland conservation.

Inundation Mapping of the Lower Illinois River Valley Using Synthetic Aperture Radar and Optical Satellite Imagery for Wetland Conservation and Restoration Prioritization Efforts 

Topic
DEVELOP
Capacity Building
Ecological Conservation
Lower Illinois River Valley Ecological Forecasting (Summer 2022) Team: Vanessa Machuca (Project Lead), Dana Myers, Hannah Rigdon, Christiana Saldana Summary: The Lower Illinois River Valley...

TRANSFORMING EARTH OBSERVATIONS TO KNOWLEDGE THROUGH INCLUSIVE PARTICIPATION

February 22, 2022
February 22, 2022
Hurricane Isaias traveling northwest between Cuba and the Bahamas on Friday, July 31, 2020, as seen from the International Space Station. Credits: NASA/Astronaut Col. Doug Hurley

Hurricane Isaias 2020

Disaster Type
Hurricanes & Cyclones

Louisiana Flooding 2016

Disaster Type
Floods
Severe & Winter Weather
The image was collected by Landsat 9 on January 26 of 2023 showing Skidaway Island and waterways on the Georgia coast. The data shows areas of healthy vegetation and urban areas using a Normalized Difference Vegetation Index (NDVI). The darker orange represents grass and urban areas. Yellow and purple represents forested and densely vegetated areas. The black represents open water.

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

Topic
DEVELOP
Disasters
Georgia Disasters II (2023 Spring) Team: Shakirah Rogers (Project Lead), Nathan Tesfayi, Matthew Murray, Clarence Jackson Summary: Heirs property owners are especially vulnerable to natural...

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