Displaying 141 - 150 of 313

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...
Land use land cover unsupervised classification derived from Landsat 9 OLI-2 TOA imagery acquired in spring 2023. The image shows the city of Lincoln, Nebraska. Lighter blue and greens show vegetation and agriculture, and darker blues show the urban area (left) invading the river (right). Heavily urbanized areas nearby rivers are at higher risk of flooding and are candidates for the Audubon Great Plains' environmental restoration and flood mitigation initiative.

Assessing Urban Flood Vulnerability to Select Restoration Sites for Urban Woods and Prairies in the Great Plains

Topic
DEVELOP
Water Resources
Platte River Basin Water Resources (2024 Spring) Team: Jennifer Mathis (Project Lead), Jackie Encinas, Olivia Kirkland, Emma Vail Summary: In the Platte River Basin, wetlands...

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...
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...

Hurricane Florence 2018

Disaster Type
Hurricanes & Cyclones
An NDWI waterbody mask derived from Landsat-8 OLI cloud-masked imagery from March-May 2019-2021 is shown in blue at 10-meter resolution over Mexico, Belize, and Guatemala. The ALOS-PALSAR-2 fine-beam L-band false color composite includes Refined Lee speckle filtered HV, HH, HH/HV bands. Darker and brighter green hues represent to low and high backscatter, respectively. Differentiating between open water, like the Hondo River, from vegetated inundation is important when distinguishing inundation by land cove

Mapping Inundation Below the Forest Canopy in the Maya Tri-National Forest

Topic
DEVELOP
Capacity Building
Water Resources
Maya Forest Water Resources II (Fall 2021) Team: Stephanie Jiménez (Project Lead), Karen Alvarez, Rene Castillo, Daniel Nohren, and Stephanie Lawlor Summary: To monitor seasonal...
Normalized Difference Water Index (NDWI) to visualize drainage networks around the Unalakleet River in Alaska, calculated from an August 2021 Landsat 8 OLI image. Yellow represents standing or flowing water and potential flood zones, while the dark blue represents drier, upland regions. Unalakleet's climate resilience planning prioritizes relocation to upland regions while avoiding areas that have experienced significant permafrost degradation.

Analyzing Permafrost Degradation and Drainage Networks in Unalakleet, Alaska

Topic
DEVELOP
Climate
Unalakleet Climate (Summer 2023) Team: Ian Lee (Project Lead), Clara Maxwell, Daniel J. Marsden, M. Jaweed Nazary Summary: The coastal community of Unalakleet is currently...

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