Principal Investigator

Thinley Yidzin Wangden

Imagen
2020 Landsat 8 OLI data processed using principal component analysis with a band combination of 2, 3, and 9. Human settlements and roads are indicated by the green dots and white lines, respectively. The area displayed is the town of Gelephu along the southern border of Bhutan. Different colors represent different land cover types. This will provide information on land change trends which will assist partners in urban planning and allocation of wildlife corridors.  Keywords: remote sensing, Asian elephant habitat, Bhutan, LULC change mapping, LULC change forecasting, wildlife corridor mapping

Habitat loss of the endangered Asian elephants (Elephas maximus) accompanied by rapid urbanization has contributed to the rising Human-Elephant Conflict (HEC) crisis in southern Bhutan. This poses a serious threat to the survival of Asian elephants, a keystone...

Principal Investigator

Emma Hatcher

Imagen
Utilizing NASA Earth Observations to Model Potential Suitable Habitat of Invasive Species Threatening Alaskan Wetlands

The rapid expansion of purple loosestrife (Lythrum salicaria) and reed canarygrass (Phalaris arundinacea L.) into aquatic and wetland systems has reduced native plant abundance, decreased species diversity, and degraded wildlife habitats for birds and amphibians throughout North America. The expansion of these invasive species into...

Principal Investigator

Victor Lenske

Imagen
Utilizing NASA Earth Observations to Monitor Marsh Health in the Chesapeake Bay to Support the Maryland Department of Natural Resources Coastal Resiliency Assessment

Tidal wetlands, such as marshes, are among the Chesapeake Bay's most protective natural features. Not only do they provide vital ecological services such as breeding grounds and water purification, but wetlands also deliver direct benefits to coastal communities through water absorption, wave attenuation, and sediment...

Principal Investigator

Nara McCray

 

Toa Baja, located just west of San Juan in Puerto Rico, is known as “the underwater city” due to its propensity to flood. The city contains the mouth of the island’s longest river, Río de la Plata, which drains...

Principal Investigator

Andrew Shannon

Imagen
Utilizing Precipitation Estimates from NASA Earth Observations and NOAA Climate Data Records to Enhance Understanding of Extreme Events in the Carolinas

In October 2015, the state of South Carolina experienced a recording-breaking precipitation event leading to detrimental flooding that caused 19 fatalities and over one billion dollars of damages, which has prompted researchers and resource managers to enhance their understanding of extreme precipitation. This project explored...

Principal Investigator

Chiara Phillips

Imagen
September 2nd, 2019 Multiband Tasseled cap Landsat 8 OLI image over Medicine Bow National Forest in Wyoming. Dark blue represents higher values of wetness, dark red represents higher values of combined green, red, and blue light reflectance and cyan represents higher values of greenness and wetness. Tasseled cap wetness was one of the most important predictor variables used in machine learning models to detect invasive cheatgrass (Bromus tectorum).  Keywords: Spectral index, remote sensing

The Medicine Bow National Forest (MBNF) consists of approximately 1,383,790 acres of forested land, grassland, and sagebrush steppe in southeastern Wyoming. Cheatgrass (Bromus tectorum), an invasive plant species in the Western US, occurs in the grasslands throughout MBNF. Cheatgrass is...

Principal Investigator

Rachel Green

 
Imagen
Utilizing Satellite and Hyperspectral Imagery to Identify Annual and Seasonal Trends of Harmful Algal Blooms and Resulting Water Quality in Lake Erie's Western Basin

Harmful algal blooms (HABs) in the Western Basin of Lake Erie have been increasing in frequency and severity over the past decade. Cyanobacteria is the dominant phylum in the blooms that occur in Lake Erie. Microcystis, a species of cyanobacteria, is of particular concern...

Principal Investigator

Rachel Luo

Imagen
The Skyglow Estimation Toolbox (SET) generates light pollution maps based on Suomi NPP VIIRS Day/Night Band imagery from NCEI’s Earth Observation Group (2014 to 2018). This image captures the skyglow around Gulf Island National Seashore. Lighter areas indicate regions where local stakeholders should implement light pollution reduction measures. SET allows park managers to use NPP VIIRS to estimate skyglow from any location, which in turn informs light pollution management decisions for wildlife conservation and night sky viewing.

The expansion of cities and infrastructure networks has raised concerns regarding the impact of growing artificial light pollution on wildlife and human well-being. In addition to degrading night skies for aesthetic viewing, this ‘skyglow’ interferes with ecosystems by disrupting plant...

Principal Investigator

Helen Baldwin (Project Co-Lead)

Imagen
Utilizing Suomi NPP's Day-Night Band to Assess Energy Consumption and Investigate its Suitability as a Proxy for Poverty in Thailand

While poverty in Thailand has decreased from 67% in 1986 to 13% in 2012, 6.7 million people were still living within 20% of the poverty line in 2014. Economic uncertainty caused by recurring droughts and decreasing agricultural prices puts this vulnerable part of the population...

Principal Investigator

Kane Cook

Imagen
Utilizing Synthetic Aperture Radar and NASA Earth Observations to Identify Optimal Transportation Routes to Assist Emergency Responders after Flood Events in the Ohio River Valley

The Ohio River provides the 13-state region of the Ohio River Valley with economic and social benefits through power generation, industrial manufacturing, drinking water, and recreational uses. While the river is an important environmental and economic resource, the valley is prone to numerous flood events...