Remote Sensing Commons^™

Influence Of Altitude And Scan Angle On Uas-Lidar Ground Height Measurement Accuracy In Juncus Roemerianus Scheele (Black Needle Rush)-Dominated Marshes, Michael Amelunke

Master's Theses

Coastal marshes are influenced by complex interactions among environmental and human factors. Marsh plant communities exist across subtle elevation gradients which are highly influenced by the local tidal regime. To better understand these dynamic conditions, improved methodologies for acquiring accurate elevation values are a necessity in marsh research and management. However, overestimation of marsh elevation values obtained from remote sensing is common due to vegetation characteristics. The goal of this study was to address this problem by determining the optimum altitude and scan angle for Light Detection and Ranging (LiDAR) collection using an Unmanned Aerial System (UAS) within Juncus roemerianus …

Using Deep Learning And Uav Imagery To Detect Elkhorn Coral In St. Croix’S East End Marine Park, Samuel Wyatt

Master's Theses

Elkhorn coral, or Acropora palmata, is an important reef building species that promotes species abundance and other ecological services to the communities in the US Virgin Islands. We captured high resolution imagery of a reef in St. Croix’s East End Marine Park using a Wingtra One UAV. We then used deep learning techniques to detect individual coral colonies. We compared two deep learning models, FasterRCNN and MaskRCNN, and found that the models achieved accuracy shores up to 0.78. These scores improved when examining only larger corals in shallow waters. The model was able to both detect Elkhorn coral and …

No More Shade: Deforestation And Rural-Urban Migration In Nigeria, Kambre Sims

Master's Theses

Some of the most well-documented motivating factors of migration in Nigeria include education, employment opportunities, and cultural conflicts. However, as the deforestation crisis has not improved and Nigeria has maintained its spot as the country with the most deforestation on Earth, access to critical forest resources may be in danger. In light of this crisis, this paper attempts to determine if deforestation has become a new motivating factor for migration as those in rural communities seek other avenues of obtaining those vital resources. Subsequently, Nigeria is also experiencing a housing crisis within its rapidly growing urban centers; obtaining and keeping …

Detecting Coastal Marsh Change From Aerial Imagery Using Spectral And Textural Methods: Pascagoula River Estuary, Mississippi, 1955-2014, Margaret Claire Bell Waldron

Master's Theses

As sea level rise accelerates, coastal marsh ecosystems are increasingly vulnerable. Vertical accretion rates must exceed or keep pace with rates of sea level rise to prevent transition to open water or inland migration of marsh vegetation. While some marsh systems along the northern Gulf of Mexico coast have remained stable, others, e.g., the marshes of the Louisiana Gulf Coast, have experienced high rates of conversion to open water. This study examined the historical extent of intertidal marsh at the mouth of the Pascagoula River in Jackson County, Mississippi to determine whether marsh extent changed during the period 1955-2014 and …

Textural Analysis Of Historical Aerial Photography To Determine Change In Coastal Marsh Extent: Site Of The Present-Day Grand Bay National Estuarine Research Reserve (Gbnerr), Mississippi, 1955-2014, Heather Michelle Nicholson

Master's Theses

Coastal marshlands are among the world’s most highly productive ecosystems but they have diminished greatly in the past several decades owing to sea-level rise and direct anthropogenic influences. An effective means of quantifying loss or gain in marsh area is through the use of aerial image data, which offers synoptic views of the landscape at decadal-scale sampling frequencies. However, a potential problem with older panchromatic, or black-and-white, imagery is the absence of multispectral information that might be used otherwise in remote identification of vegetation types. Nevertheless, the analysis of horizontal variability in image brightness values, or image texture, can be …

Income Shocks And The Acceptance Of Intimate Partner Violence In Indonesia, Matthew N. Krupoff

Master's Theses

Intimate partner violence (IPV) is a pervasive issue affecting 1 in 3 women worldwide. Despite the negative welfare impacts, it is still seen as acceptable in some parts of the world, even amongst women. This paper examines how elastic these accepting attitudes towards IPV are to changing economic conditions. Specifically, this paper focuses on changes in intra-household resources from negative shocks to male-sourced income. The setting and context takes place in coastal communities in Indonesia, where fishing is a main source ofincome generated primarily by men. This paper uses satellite-derived fishing conditions to measure how women's attitudes towards IPV change …

The Invisible People Of The Invisible Coast: The Resilience Of People Experiencing Homelessness To Disasters On The Alabama, Louisiana, And Mississippi Gulf Coasts, Nicole Elizabeth Callais

Master's Theses

While extensive research has been conducted on vulnerability and resilience with regard to hazards, very few studies have researched the resilience of homeless populations. The Gulf Coast region is densely populated and susceptible to natural and anthropogenic hazards. Climate change studies indicate that this region will experience an increase in severe and intense tropical cyclones[1], thereby increasing the risk of experiencing adverse impacts from future coastal hazards. While local government agencies in this region have policies in place to protect communities, these policies tend to exclude any action regarding the evacuation and safety of the homeless population.

In …

The Use Of Remote Sensing For Mapping Possible Vectors Of West Nile Virus In Mississippi, Brian Matthew Moore

Master's Theses

There is renewed interest in disease surveillance due to the persistence of numerous vector-borne diseases. Though the life-history processes of disease vectors are known to dictate their distribution patterns, it has been hypothesized that vectors, such as local mosquito abundance, could be predicted from factors such as climate and land use/land cover. Remote sensing has been used as a supplement to traditional methods of mosquito surveillance and to map the spatial distribution of mosquito habitats. This, in turn, affords optimism for improved vector/disease management to identify the best use of remote sensing data and geo-statistical techniques to predict and map …