Geography Commons^™

Use Of Unoccupied Aerial Vehicle (Drones) Based Remote Sensing To Model Platform Topography And Identify Human-Made Earthen Barriers In Salt Marshes, Joshua J. Ward

Masters Theses

Elevation is a foundational driver of salt marsh morphology. Elevation governs inundation and hydrological patterns, vegetation distribution, and soil health. Anthropogenic impacts at grand scales (e.g., rising sea levels) and local scales (e.g., infrastructure) have altered the elevation of the salt marsh surface, changing the topography and morphology of these ecosystems. This study establishes and assesses means to document and analyze these impacts using Unoccupied Aerial Vehicle (UAV) based remote sensing to model platform topography. This thesis’s first and primary study presents and compares methods of producing high-resolution digital terrain models (DTMs) with UAV-based Digital Aerial Photogrammetry (DAP) and Light …

Trends Of Autumn Phenology In Response To Environmental And Meteorological Variables, Meagan Renee Maguire

Masters Theses

Previous studies have identified that changes in plant phenology are most likely induced by climate variability. One such change is the end of season (EOS) for deciduous forests in the United States. In essence, the EOS represents the end of plant productivity for a given year; the phase in which plant dormancy is reached. However, our wealth of knowledge on plant phenology largely overlooks the phases that occur in autumn, especially the EOS, with many previous studies focusing on spring phenology. This study uses remote sensing MODIS aerial imagery data and historical meteorological data to analyze any relationships that may …

Analysis Of Small Lake Water Level Fluctuations By Remote Sensing In Twin Lake, Michigan., Eric Carballido

Masters Theses

Accurate analysis of lake level fluctuations is critical for water resources management. However, it remains a challenge to estimate lake level fluctuations in ungauged small lakes such as East Twin Lake. Located in Twin Lake, Michigan, East Twin Lake has experienced a drastic reduction in water surface area since 2020. To understand the nature of water level fluctuations in East Twin Lake, this study utilized a combination of Landsat and National Agriculture Imagery Program (NAIP) data to make surface water area estimations of East Twin Lake for the period of 1993-2022. In total, 27 years of water surface area estimations …

Short-Term 2d And 3d Geomorphic Change Detection At A Public Park On Lake Michigan Using Uas Remote Sensing Techniques, Scott Patrick Fitzgerald

Masters Theses

The high-water level of Lake Michigan (LM) in the past few years has led to significant periods of erosion and increased the risk to private property owners on the coast. To cope with this, many property owners on the coast of LM have constructed coastal protections, some opting for seawalls. Previous studies have assessed the effects of seawalls but disagreed on their impacts, and only laboratory studies were able to establish their range of influence. Using a different method to study their effects will be pertinent to understanding them.

This research aims to use a higher temporal and spatial resolution …

Industry 4.0 Remanufacturing: A Novel Approach Towards Smart Remanufacturing, Prashansa Ragampeta

Masters Theses

“Smart remanufacturing has become more popular in recent years as a result of its multiple benefits and the growing need for society to encourage a circular economy that leads to sustainability. One of the most common end-of-life (EoL) choices that can lead to a circular economy is remanufacturing. As a result, at the end-of-life stage of a product, it is critical to prioritize this choice over other accessible options because it is the only recovery option that retains the same quality as a new product. This work focuses on the numerous technologies that can aid in the improvement of smart …

Algorithm Performance On The Estimation Of Cdom And Doc In The North Slopes Of Alaska, Monica Weisenbach

Masters Theses

Use of satellite imagery makes environmental monitoring easy and convenient with little of the logistics involved in planning sampling campaigns. Colored dissolved organic matter (CDOM) is an important component to track as a proxy for the large pool of dissolved organic carbon (DOC). In a world contending with the looming issue of global climate change, the ability to investigate the carbon cycle of inland to coastal environments allows for examination of the magnitude of carbon flowing through the system and potential changes over years. The Arctic region is a critical area for climate change impacts but is a difficult landscape …

Spatiotemporal Distributions Of Sargassum On Grand Cayman, Graeme Timmeney

Masters Theses

This mixed methods research examines individual perceptions of Sargassum on Grand Cayman’s beaches in 2020 using participant mapping, and semi – structured interviews. Results from the participant mapping are compared to satellite detection of sargassum. Sargassum poses health risks to both humans and the natural environment. Decaying Sargassum produces sulfuric gas and prevents young turtle hatchlings from reaching the ocean. Since 2011, Sargassum has diffused beyond the Sargasso Sea into entirely novel locations, spanning from the west African Coast to the Gulf of Mexico. Increased biomass has proven to be overwhelming for many Caribbean Islands, including Grand Cayman where hundreds …

Spatiotemporal Observations Of Water Stress In Kansas Winter Wheat And Corn From Remotely Sensed Evapotranspiration And Ndwi, Lindi Diane Oyler

Masters Theses

"Optimizing water use is a growing concern, especially in agricultural communities where water use is high. An important challenge in agricultural water optimization is knowing when and where crop water stress is occurring, particularly on large scales where in-situ measurements are no longer practical to obtain. In an effort to combat this challenge, this study utilizes remotely sensed evapotranspiration (ET) and Normalized Difference Water Index (NDWI) to evaluate the responses of integrated satellite datasets to water-stressed conditions over fields of irrigated corn, irrigated winter wheat, and rainfed winter wheat from 2007 to 2017 in southwestern Kansas. Using two different ET …

Identifying Smokestacks In Remotely Sensed Imagery Via Deep Learning Algorithms, Kenneth Moss

Masters Theses

Locating smokestacks in remote sensing imagery is a crucial first step to calculating smokestack heights, which allows for the accurate modeling of dioxin pollution spread and the study of resulting health impacts. In the interest of automating this process, this thesis examines deep learning networks and how changes in input datasets and network architecture affect image detection accuracy. This initial image detection serves as the first step in automated object recognition and height calculation. While this is applicable to general land use classification, this study specifically addresses detecting smokestack images. Different dataset scenarios are generated from the massive Functional Map …

The Urban Morphology Of Hyderabad, India: A Historical Geographic Analysis, Kevin B. Haynes

Masters Theses

Hyderabad, India has undergone tremendous change over the last three centuries. The study seeks to understand how and why Hyderabad transitioned from a north-south urban morphological directional pattern to east-west during from 1687 to 2019. Satellite-based remote sensing will be used to measure the extent and land classifications of the city throughout the twentieth and twenty-first century using a geographic information science and historical-geographic approach. This approach provides the basis for a structured archival historical-geographic analysis. Focusing on Hyderabad, India from 1687 to 2019, the objectives of this research are to: (1) delineate and quantify the geographic extent of built-up …

Using An Interactive Mobile Application To Crowdsource Data Collection For Management Issues In Asylum Lake Preserve, Kalamazoo, Mi, Alexander Ebenstein

Masters Theses

As technology continues to improve, personal and mobile technologies are becoming ubiquitous, being used for everything from social media to data collection. Crowdsourcing is a form of mobile data collection that calls upon a group of people to help solve a complex problem. In recent years, crowdsourcing has become an important component in data collection for managing natural disasters, allowing disaster relief systems to improve response time and coordination protocols. Natural resource and land managers are also starting to use these new technology-based and location-aware systems to improve management. By calling upon users of the recreation areas to help identify …

Time Series Analysis Of Modis Ndvi Data With Cloudy Pixels: Frequency-Domain And Sizer Analyses Of Vegetation Change In Western Rwanda, Ephraim Robert Love

Masters Theses

Remote sensing is a valuable source of data for the study of human ecology in rural areas. In this thesis, I attempt to analyze the presence of a long-term trend indicative of post-resettlement adaptation in the vegetation signals of Western Rwanda. There is a dearth of research utilizing medium resolution imagery to study difficult environments, such as tropical-montane regions, where complex topography and cloud cover diminish image accuracy. I attempt to add to the extant literature on frequency-domain smoothing methods as well as the literature on human-environment interaction in tropical-montane regions by applying a harmonic filtering and smoothing algorithm to …

Determining Rockfall Volumes In Three Sites Along Habs Mountain Road In Southwestern Saudi Arabia, Using Lidar Technology, Abdullah Ayed Al-Otaibi

Masters Theses

"The rugged elevated topography is a characteristic feature of the western and southwestern regions of Saudi Arabia. Few arterial roads connect the scattered villages of these regions to major cities, such as Habs Road in Jazan region. Rock fall poses a serious hazard to people, property and animals along the rock cuts of this road. Although no traditional Rockfall studies have previously been applied to this road, accessibility and rock formation shape and structure variability influenced the choice of using Terrestrial Light Detection And Ranging (LiDAR) technology to calculate the volume of rockfall at selected sites along this road.

Software …

A New Technique For Modeling The Geomorphology Of A Slow Moving, Soft-Slope Landslide Using Terrestrial Lidar, Nathan Bradley Rohrbaugh

Masters Theses

"Soft slope movement is a big problem whether it involves an engineered slope, one that is near infrastructure, or both. Active landslides that fail slowly sometimes allow ample time to affect remedial works. In order to plan effective remedial works, there needs to be a model of the entire geometry of the slide. This thesis describes a new approach to evaluate the morphology of slope geometry using Light Detection and Ranging (LiDAR) data obtained from simple targets strategically positioned on a slide body. The data was gathered in three-month intervals over a period of one year to allow enough time …

Study Of Feasability For Phase Difference Extraction Using Software Defined Radio In Location Analysis, Paul Miller

Masters Theses

Here is a method for using the phase of an HF radio signal for use in location analysis. This computation is implemented in a software defined radio processing block in the GNU Radio environment. The signals analyzed are received by an Ettus Research USRP SDR. We created a phase analysis system called WMU Rootsync, which compares the roots of a received signal to the roots of a generated reference signal for the phase analysis. This research describes a prototype method for phase analysis only. Future projects may use these ideas differently than presented here. We intend for future projects to …

Geophysical And Remote Sensing Applications For A Better Understanding Of The Structural Controls On Groundwater Flow In The Lucerne Valley, California, Dale R. Dailey

Masters Theses

An integrated study was conducted in the Mojave Basin to investigate the potential role of faults and basement uplifts for groundwater flow in the Mojave Desert. Observations made include: 1) Very Low Frequency (VLF) measurements across mapped (using LIDAR and Geoeye-1 imagery) fault traces showed significant radio field dip angles indicative of presence of shallow sub-vertical, sheet-like conductors; many of the VLF tilt peaks coincided with changes in the magnetic profiles; 2) Vertical Electric Soundings indicate shallow basement west of, and parallel to, the Helendale Fault and deep saturated zones east of the fault/basement outcrop (F/B); and 3) isotopic analyses …

Prospects For An International Charter "Space And Major Disaster" Remote Sensing Response To Drought Disasters - An Anhui, China Case Study, Joseph Burkhead

Masters Theses

Remote sensing is often leveraged during the response phase of disaster management to improve the situational awareness of decision-makers. The International Charter "Space and Major Disaster" (Charter) provides remote sensing support to non-spacefaring nations facing disasters such as earthquakes, floods and tsunamis. However, the Charter has never activated for a major drought disaster. Since droughts affect over half of the nearly 3 billion people that suffer from natural disasters annually, this study seeks to determine whether satellite remote sensing can be effectively employed according to the intent, capabilities, and limitations of the Charter to benefit officials responding to a major …

A Classification Of Ecosystem Desertification Using Satellite Imagery, Dzheltyrbas Gulf, 1980-1989, Marni D. Cavis

Masters Theses

This study focused on the development of a land cover classification method for the Dzhiltyrbas Gulf region southeast of the Aral Sea in the former Soviet Union. Desertification of the region was mapped based on ecosystem descriptions taken from a database defining four stages of desertification. Landsat MSS images (bands 1, 2, and 4) were used as the basis for classification. Standard unsupervised and supervised classification methods did not distinguish the level of detail required to map each stage of desertification in each ecosystem. Therefore, the ecosystems had to be defined and classified as separate entities (based on SBI and …