Displaying 41 - 50 of 81
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...
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...

Mapping Biomass to Inform Conservation Planning of a Future State Park in Southern Colorado

Topic
DEVELOP
Fisher’s Peak is a 77.5 km2 property southeast of Trinidad, Colorado that is planned to become Colorado’s newest state park. The area has experienced limited...
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...
2022 Spring PUP Mexico Disasters Website Image

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

Topic
DEVELOP
Capacity Building
Disasters
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 Flooding Vulnerability to Assist High Water Intervention and Urban Planning Programs in the Charles River Watershed

Topic
DEVELOP
The Charles River watershed intersects 35 municipalities within the Boston Metropolitan Area and has a population of 1.2 million, making it one of the most...

Assessing Methods for Gold Mining-related Deforestation Detection in Amazonia Using NASA Earth Observations

Topic
DEVELOP
Artisanal and small-scale gold mining (ASGM) is responsible for a large fraction of deforestation and disturbance in Amazonia. These activities cause severe impacts on the...
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...

Utilizing NASA Earth Observations to Detect and Assess the Impacts of Estuarine Breach Events for Improved Coastal Wetland Monitoring and Management

Topic
DEVELOP
Estuaries are dynamic environments that provide a host of vital ecosystem services. California’s Marine Life Protection Act protects such ecosystems by creating Marine Protected Areas...

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...

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