Physical and Environmental Geography Commons^™

Scraping The Earth: Testing Ndvi As An Indicator Of Military Ground Maneuver Within The Israeli Invasion Of The Gaza Strip, Thomas A. Bergeron

LSU Master's Theses

The advancement of open-source (OSINT) and geospatial intelligence (GEOINT) has allowed independent researchers to study human conflict in new ways, with tools that were previously reserved only for state intelligence agencies. In order to advance methodologies, researchers must continue to evaluate new tools to study war.  Valued for its accessibility and moderate spatial resolution, the Normalized Difference Vegetation Index (NDVI) is one such tool that has not been widely systematically tested for its use in an open-source GEOINT investigation of modern conflict. This study tests NDVI as an indicator of military maneuver by leveraging a mixed-method approach against open-source kinetic …

Impacts Of Extreme Weather Conditions On Coastal Fisheries Near Bayou Teche, Louisiana From 2019–2023, Georgia C. Davis

LSU Master's Theses

The region of Southcentral Louisiana, particularly around Bayou Teche, thrives on its commercial and recreational fisheries. These fisheries are occasionally subject to events like extreme weather that cause sudden and unexpected losses (NOAA Fisheries, 2024a). Between 2019 and 2023, a series of extreme weather events impacted southcentral Louisiana near Bayou Teche. This series of extreme events includes Hurricane Barry (2019), Hurricane Laura (2020), Hurricane Delta (2020), Hurricane Zeta (2020), Hurricane Ida (2021), and a United States Drought Monitor (USDM) D4 drought (2023). This study analyzes the impacts of the extreme weather series on coastal fish observed species richness (SR) in …

A Stable Isotopic Profile Of Atmospheric River Precipitation Impacting Northern California, Erika Clarise Ornouski

LSU Master's Theses

Atmospheric river (AR) storms are an integral part of California’s hydrologic cycle, providing 30–50% of the state’s annual precipitation. However, “too much of a good thing” can swell

rivers beyond capacity leading to widespread flooding, erosion, and environmental damage. Northern California’s steep topography coupled with its seasonal Sierra Nevada snowpack puts this region at risk for floods and extreme weather hazards that can be triggered by strong ARs. Identifying AR contributions in the water cycle is crucial for informing water resource and emergency management decisions Stable isotope analysis provides a means to understand the movement of precipitation based on fractionation …

Winding Down River Road, Gillian Harper

LSU Master's Theses

As a mechanism to explore my temporary home in Louisiana, Winding Down River Road is a collection of artworks that integrates natural materials collected from landscapes in southern Louisiana with steel and petroleum-based products. My interest in researching environmental issues, ecology, and industry has shaped my vehicles for observation and how I generate data. Through a variety of methodologies, I am considering how climate change is forcing many of us to re-contextualize how our home can be affected by the very industries we rely on. Personal engagement with residents living in the dystopian atmosphere of southern Louisiana’s industrial corridor and …

Local And State Climate Initiatives In Louisiana Since 2005: Content And Thematic Analyses, Jessie F. Parrott

LSU Master's Theses

Louisiana is uniquely exposed to severe weather because of its geography and climate. Louisiana’s extreme weather is exacerbated by anthropogenic climate change, which will worsen in the future. The risks its population and environment are exposed to has generated several policies and planning documents, nine of which are analyzed in this thesis. Three plans are from the state level, three are from the parish level, and three are from the urban (New Orleans) level. These planning documents pose various adaptation and mitigation actions to ameliorate and address multiple climate issues. These actions utilize specific mitigation strategies. The content and thematic …

Shocking: Using Machine Learning Techniques To Nowcast Lightning Strikes From Station Level Data, Michael D. Broussard

LSU Master's Theses

Lightning strikes are incredibly common and potentially hazardous. Lightning can lead to loss of life, property damage, or can trigger other hazardous events like wildfires. They are also the result of incredibly complex physical processes in the atmosphere, making it challenging to predict strikes. However, given the extensive data and robust analytical techniques available, machine learning methods could be used to establish data relationships between lightning strikes and ground-level atmospheric measurements. Such a model could be used to provide any surface-based weather station with a method for predicting incoming strikes, making it easier to avoid the potentially hazardous effects of …

Examining The Effectiveness Of “Turn Around Don’T Drown”, Chance D. Bryant

LSU Master's Theses

Extreme heat is the deadliest weather hazard in the U.S. Flooding is the second worst, and flash flooding is the deadliest form of flooding. The nature of these flood deaths contains a human element that deserves greater study. Since 2004, the National Weather Service has attempted to educate the public with its slogan, ``Turn Around Don’t Drown". Vehicle related mortality rates in Texas since 1996 were examined to answer the question of whether ``Turn Around Don’t Drown" has been effective. The slogan has a large footprint on the social media platform Twitter, with most of the Tweets coming from private …

Sea-Level Rise And Settlement At Ta’Ab Nuk Na, Belize: Analyses Of Marine Sediment From The I-Line, 4m Transect, Conner B. Flynt

LSU Master's Theses

The ancient Maya of Mesoamerica created a culture with writing, religion, and vast trade networks. These trade networks are evident on the southern coast of Belize, where archaeologists have found sites dedicated to salt making. One of these sites, Ta’ab Nuk Na, was the subject of this thesis. Sediment and charcoal samples were collected from this site by the Underwater Maya Research Group led by Heather McKillop and E. Cory Sills. For my thesis research, I subjected these samples and components within them to loss-on ignition, radiometric dating, and microscopic analysis. Loss-on ignition was used to ascertain organic material percentage …

Typing Tornadoes By Storm Mode In The Southeast United States, Marisa R. Karpinski

LSU Master's Theses

Existing work has noted three major, radar-derived, storm modes associated with tornadoes: supercell, quasi-linear convective systems, and tropical systems. I examine the long-term frequency and seasonality of each storm mode between 1996 and 2017 in the Southeast United States. The Southeast is chosen as a focus for this work due to its well-known and unique combination of tornado vulnerability and exposure. Expanding our knowledge of the radar presentation of tornado-producing thunderstorms in this region could assist in the operational interpretation of these events. In this study, a climatology of F/EF1+ tornadoes (1996 - 2017) is generated for the study area …

Automatic Features Extraction From Time Series Of Passive Microwave Images For Snowmelt Detection Using Deep-Learning – A Bidirectional Long-Short Term Memory Autoencoder (Bi-Lstm-Ae) Approach., Bienvenu Sedin Massamba

LSU Master's Theses

The Antarctic surface snowmelt is prone to the polar climate and is common in its coastal regions. With about 90 percent of the planet's glaciers, if all of the Antarctica glaciers melted, sea levels will rise about 58 meters around the planet. The development of an effective automated ice-sheet snowmelt monitoring system is therefore crucial.

Microwave remote sensing instruments, on the one hand, are very sensitive to snowmelt and can see day and night through clouds, allowing us to distinguish melting from dry snow and to better understand when, where, and for how long melting has taken place. On the …

Spatial And Topological Analysis Of Urban Land Cover Structure In New Orleans Using Multispectral Aerial Image And Lidar Data, Shuxian Liu

LSU Master's Theses

Urban land use and land cover (LULC) mapping has been one of the major applications in remote sensing of the urban environment. Land cover refers to the biophysical materials at the surface of the earth (i.e. grass, trees, soils, concrete, water), while land use indicates the socio-economic function of the land (i.e., residential, industrial, commercial land uses). This study addresses the technical issue of how to computationally infer urban land use types based on the urban land cover structures from remote sensing data. In this research, a multispectral aerial image and high-resolution LiDAR topographic data have been integrated to investigate …

Climatology, Variability, And Return Periods Of Tropical Cyclone Strikes In The Northeastern And Central Pacific Basins, Nicholas S. Grondin

LSU Master's Theses

Tropical cyclones (TCs) are among the most destructive meteorological phenomena and impact the lives of people who reside along the coast. The American Pacific Coastline borders the second most active TC development region in the world, the northeastern Pacific (NE Pac) basin. This region, along with the Central Pacific (C Pac)-bordering Hawaii is home to a growing population and cities engaged in a variety of economic activities, most prominently agriculture, fishing, and tourism. This study analyzes fifty-two (1966-2017) years of NE Pac and C Pac TCs through applying track data from the National Hurricane Center’s HURDAT2 and a TC size …

Construction Of A Tropical Cyclone Size Dataset Using Retroactive Analysis Data With A Damage Application, Derek Trent Thompson

LSU Master's Theses

This thesis introduces a new tropical cyclone (TC) size dataset. Using the radius of the outermost closed isobar (ROCI) as the size metric of focus, a comprehensive record of TC size at landfall was constructed for tropical storms and hurricanes that made landfall in the United States along the East Coast and in the Gulf of Mexico. The ROCI information was derived from mean sea level pressure maps generated using the NCEP/NCAR Reanalysis I dataset over a 69-year period (1948 – 2016). Construction of the dataset involved using two methodologies, one based on hourly interpolated HURDAT2 best tracks and the …