Geography Commons^™

Pluto In Hand: Design And Implementation Of A Location-Based Mobile Augmented Reality Application For Viewing Open Data, Matthew O. Ward

Theses and Dissertations

Immersive mobile augmented reality (AR) technology has improved while geolocational data volume has grown. City governments can utilize this technology to share their geospatial data with the public, promoting smart city aims. This research describes the design and implementation of a novel open-source ARGIS application to view property tax lot information in New York City. This proof-of-technology demonstrates web-based AR can visualize location-based spatial data.

Lake Satellite Temperature Data Validation, Mamadou Balde, Pascal Kouogang

Publications and Research

In environmental remote sensing, satellite data isn't absolutely conclusive, for that reason, there is a natural need to verify the data acquired from the satellite. The most suitable tool to achieve such verification is on ground sensors that have the advantage of proximity. Addressing any possible discrepancies between the satellite data and the ground sensor data is sure to yield ways to come up with improvements of satellite band calibration and sensing capabilities. This research focused on correlating temperature data from the MODIS satellite with the data obtained from the In Situ sensor located in Lake Sunapee. Doing the latter …

Remote Sensing & Land Surface Temperature From Satellite Observations, Isatu Jollah

Publications and Research

The Moderate Resolution Imaging Spectroradiometer (MODIS) instrument is designed and developed in 1995. • It is a critical instrument aboard Terra and Aqua satellites. Terra's orbit around the Earth is timed so that it crosses the equator from north to south in the morning, while Aqua crosses the equator from south to north in the afternoon. • Every 1 to 2 days, Terra MODIS and Aqua MODIS scan the entire Earth's surface, collecting data in groups of wavelengths. • In this research, a whole month of MODIS Land Surface Temperature data from both Aqua and Terra were explored and investigated.

The Demotechnic Index Of Nations, 1980-2018, Camden Rainwater

Geosciences Undergraduate Honors Theses

The Demotechnic Index (DI) is a non-dimensional metric that is the scalar multiple of energy consumption over and above that required for mere subsistence of a national population. Thus, the DI is a measure of energy efficiency that scales a country’s industrial energy consumption (called the total technological energy) and the energy required to meet the metabolic demand of the population (called the total metabolic energy). The DI was created by scientist John Vallentyne in 1982, refined in 1994, but never gained popularity or wide use as a sustainability metric. The objective of this thesis was to re-evaluate the DI …

Land And Water Resources For Irrigated Agriculture In The Pilbara, Paul Galloway, John A. Simons, Karen Holmes, Dennis Van Gool

Resource management technical reports

This report documents the procedures used to identify suitable locations for irrigation development in the Pilbara region. It is the first study to investigate the potential for irrigated agriculture across the Pilbara. We used a desktop analysis to ascertain water availability and spatial data modelling to determine the potential of the land and soil resource to support irrigated agriculture. This study was part of the Pilbara Hinterland Agricultural Development Initiative (PHADI).

We used existing rangeland land inventory information augmented with digital spatial environmental data, in a process known as map disaggregation, to create soil and landform maps that had a …

Data-Driven Framework For Understanding & Modeling Ride-Sourcing Transportation Systems, Bishoy Kelleny

Civil & Environmental Engineering Theses & Dissertations

Ride-sourcing transportation services offered by transportation network companies (TNCs) like Uber and Lyft are disrupting the transportation landscape. The growing demand on these services, along with their potential short and long-term impacts on the environment, society, and infrastructure emphasize the need to further understand the ride-sourcing system. There were no sufficient data to fully understand the system and integrate it within regional multimodal transportation frameworks. This can be attributed to commercial and competition reasons, given the technology-enabled and innovative nature of the system. Recently, in 2019, the City of Chicago the released an extensive and complete ride-sourcing trip-level data for …

Multi-Trophic Biodiversity Increases With Increasing Structural Complexity Of Forest Canopy, Ayanna St. Rose

Graduate Theses and Dissertations

Understanding the effects of forest canopy structural complexity on multi-trophic diversity is critical for conserving biodiversity and managing land sustainably. But multi-trophic diversity is often ignored when making decisions about land management due to lack of cost- and time-effective methods to evaluate it. Here, we explored a new method based on widely available remote sensing data to quantify canopy structural complexity and its relationships with multi-trophic biodiversity at landscape scale using 32 forested sites of the National Ecological Observatory Network. We investigated the influence of vertical and horizontal structural complexity of forest canopy on multi-trophic (primary producers, herbivores (beetles), omnivores …

Multi-Criteria Evaluation Model For Classifying Marginal Cropland In Nebraska Using Historical Crop Yield And Biophysical Characteristics, Andrew Laws

School of Natural Resources: Dissertations, Theses, and Student Research

Marginal cropland is suboptimal due to historically low and variable productivity and limiting biophysical characteristics. To support future agricultural management and policy decisions in Nebraska, U.S.A, it is important to understand where cropland is marginal for its two most economically important crops: corn (Zea mays) and soybean (Glycine max). As corn and soybean are frequently planted in a crop rotation, it is important to consider if there is a relationship with cropland marginality. Based on the current literature, there exists a need for a flexible yet robust methodology for identifying marginal land at different scales, which …

Urban Forests And Their Potential To Combat Food Insecurity: Analyzing Street Trees In Baltimore, Md For Their Edibility, Victoria Bearden

Environment and Sustainability Honors Papers

Food insecure environments, in which residents lack consistent access to nutritious food materials, can occur in urban settings. Literature on urban forests suggests that trees can provide a range of provisioning ecosystem services, including edible uses. We consider this to determine if street trees in Baltimore, Maryland have the potential to provide nutritious food materials to address food insecurity in Healthy Food Priority Areas (HFPA), designated by Johns Hopkins Center for a Livable Future. Our analysis utilizes the Plants For a Future database and the geospatial hotspot analysis tool in Esri’s ArcMap to determine the edible quality ratings (EQR) of …

Spatial And Temporal Variations Of Microplastic Concentrations In Portland's Freshwater Ecosystems, Rebecca Talbot, Elise F. Granek, Heejun Chang, Rosemary Wood, Susanne Brander

Geography Faculty Publications and Presentations

While microplastics are a pollutant of growing concern in various environmental compartments, less is known regarding the sources and delivery pathways of microplastics in urban rivers. We investigated the relationship between microplastic concentrations and various spatiotemporal factors (e.g., land use, arterial road length, water velocity, precipitation) in two watersheds along an urban-rural gradient in the Portland metropolitan area. Samples were collected in August, September, and February and were analyzed for total microplastic count and type. Nonparametric statistics were used to evaluate potential relationships with the explanatory variables, derived at both the subwatershed and near stream scales. In August, microplastic concentrations …

Mapping The Impact Of A Trailway System On The Amount Of Trash Present Within Two Watersheds Of Lynchburg City, Virginia, Lillian Smith

Student Scholar Showcase

Transportation of trash debris within water systems is a prominent occurrence which has been linked to natural and artificial processes such as wind, rain, and littering. Recreational areas, such as activities along greenway trails, have been determined to be a source of debris found in waterways. This study examines whether the presence of an established recreational trail system limits trash accumulation in the entirety of a watershed. Trash data collected at Blackwater Creek, which contains an established trail system, was compared to trash data collected at Fishing Creek, containing a non-established trail system, to answer this hypothesis. A distance of …

A Tectonic Geomorphic Study Of Neotectonics And Seismic Hazard Of The Fold And Thrust Belt Complex Of Bengal Basin, Eastern Himalayan Range, Niroj Shrestha

Masters Theses & Specialist Projects

Tectonic activity continues to shape and create challenges for human populations in tectonically active areas. The Bengal Basin is one of the most important sedimentary basins of the Eastern Himalayan Range, aiding in one of the densely populated regions of the world. The basin is part of the tectonically active Himalayan Orogen that is undergoing oblique subduction between the Eurasian Plate and the Indian Plate. As a result of this subduction-related convergence, the eastern part of the Basin, particularly the Chittagong-Tripura Fold Belt (CTFB) and western part of the Indo-Burman Range (IBR) has structurally deformed into a series of mostly …

Urban Flood Risk And Green Infrastructure: Who Is Exposed To Risk And Who Benefits From Investment? A Case Study Of Three U.S. Cities, Arun K. Pallathadka, Jason Sauer, Heejun Chang, Nancy B. Grimm

Geography Faculty Publications and Presentations

Pluvial flooding is a serious hazard in inland U.S. cities. City managers and communities are increasingly interested in reducing their pluvial flood risk through the development of green infrastructure (GI) features. This research explores the relationship between pluvial flood exposure and GI placement in three inland cities– Atlanta, Phoenix, and Portland–and analyzes the variation of sociodemographic variables in census block groups (CBG) located in pluvial flood zones. Using the Arc-Malstrøm method, we estimated areas of pluvial flooding in the CBGs of our selected cities by relating pluvial flood area to the density of GI in CBGs and assigning CBGs one …

A Remote Sensing And Machine Learning-Based Approach To Forecast The Onset Of Harmful Algal Bloom (Red Tides), Moein Izadi

Dissertations

In the last few decades, harmful algal blooms (HABs, also known as “red tides”) have become one of the most detrimental natural phenomena all around the world especially in Florida’s coastal areas due to local environmental factors and global warming in a larger scale. Karenia brevis produces toxins that have harmful effects on humans, fisheries, and ecosystems. In this study, I developed and compared the efficiency of state-of-the-art machine learning models (e.g., XGBoost, Random Forest, and Support Vector Machine) in predicting the occurrence of HABs. In the proposed models, the K. brevis abundance is used as the target, and 10 …

College Of Natural Sciences Newsletter, March & April 2022, College Of Natural Sciences

College of Natural Sciences Newsletters and Reports

Volume 3, Issue 3

Page 1 Dean's Message
Page 2-3 Awards and Recognition
Page 4 2022 URSCAD - CNS Snaps
Page 5 Geography Convention Recap
Page 6 Attention Students!
Page 7-8 Media Coverage of CNS
Page 9 Spring Break Outreach, Adopt the Pantry,
Page 10 Discovery on Tap Event
Page 11 CNS Students Visit State Capital
Page 12 Celebrating 50 Years of Sally
Page 13 Open PRAIRIE Data
Page 14 Grants Awarded and Bio-Micro Day of Scholars
Page 15 -17 2022 Geography Convention Snaps
Page 18 Sally Krueger's 50th Work Anniversary

The Role Of Physical Geographic Features In Video Games, Dexter Ferguson

Theses

This thesis examines how physical geographic features affect individuals when interacting with video game environments. There are very few studies on the geography of video games. I aim to bridge the gap between game studies and geography, a naturally occurring link. The observation of elements such as the geography of an area is critical when exploring an individual’s perception of a video game environment. Individuals interact with the geography of their location on a day-to-day basis, whether it be physical or human geography; how they can relate a video game’s geography to the real world dramatically affects their immersion. An …

Extreme Development Of Dragon Fruit Agriculture With Nighttime Lighting In Southern Vietnam, Shenyue Jia, Son V. Nghiem, Seung-Hee Kim, Laura Krauser, Andrea E. Gaughan, Forest R. Stevens, Menas Kafatos, Khanh D. Ngo

Institute for ECHO Faculty Books and Book Chapters

Dragon fruit is widely grown in Southeast Asia and other tropical or subtropical regions. As a high-value cash crop ideal for exportation, dragon fruit cultivation has boomed during the past decade in southern Vietnam. Light supplementing during the winter months using artificial lighting sources is a widely adopted cultivation technique to boost productivity in the major dragon fruit planting regions of Vietnam. The application of electric lighting at night leads to a significant increase of nighttime light (NTL) observable by satellite sensors. The strong seasonality signal of NTL in dragon fruit cultivation enables identifying dragon fruit plantations using NTL images. …

Geothermal Development In Kenya: Gender Based Socio-Cultural And Socio-Economic Implications, Faye N. Ricker

USF Tampa Graduate Theses and Dissertations

This dissertation is an ethnographic case study that analyzes the gendered socio-cultural and socio-economic implications for a community that was displaced in order to develop a geothermal energy system in Kenya. The implications are rendered particularly interesting because the displaced community is also one of the communities served by the geothermal power grid. The analysis employs a composite framework of Feminist Political Ecology and the Political Ecology of Climate Change Mitigation. This work explores gendered perceptions and control of energy, livelihood activities, place attachment, and the cultural/spiritual significance of geothermal energy.

Geothermal energy is a potentially promising source of low-carbon …

A Statistical Method For Quantifying Animal Interaction; Combining Time Geography And Simulation, Zachary J. Smith

USF Tampa Graduate Theses and Dissertations

Dynamic interaction (DI) describes the synchronous interaction of one or more individual animals over time. Current methods to quantify DI from tracking data are lacking. They typically require synchronized tracking data which limits their applicability to most studies. They also often do not have built-in tests of significance to evaluate interaction, and if so, rely on random walk models that lack biological realism. This research aimed to develop and evaluate a new way of measuring animal interaction that overcomes these limitations. The goal was to create a statistical method for quantifying and evaluating interaction that is relevant across computational, behavioural, …

Global Gnss-Ro Electron Density In The Lower Ionosphere, Dong L. Wu, Daniel J. Emmons Ii, Nimalan Swarnalingam

Faculty Publications

Lack of instrument sensitivity to low electron density (N_e) concentration makes it difficult to measure sharp N_e vertical gradients (four orders of magnitude over 30 km) in the D/E-region. A robust algorithm is developed to retrieve global D/E-region N_e from the high-rate GNSS radio occultation (RO) data, to improve spatiotemporal coverage using recent SmallSat/CubeSat constellations. The new algorithm removes F-region contributions in the RO excess phase profile by fitting a linear function to the data below the D-region. The new GNSS-RO observations reveal many interesting features in the diurnal, seasonal, solar-cycle, and magnetic-field-dependent variations in the …

Assessing Changes In Actual Air Quality And Public Perceptions Of Air Quality In Kathmandu Valley Nepal Pre And Post Covid-19 Lockdown, Robin Margherita Rives

USF Tampa Graduate Theses and Dissertations

Air pollution is a global concern. Cities around the world fail to meet air quality standards set by the World Health Organization Air Quality Guidelines, which has a significant impact on public health. As the capital city and largest metropolitan region of Nepal, Kathmandu is a hotspot for urban pollution in South Asia. Nepal faces emissions from both internal and external sources. External sources include emissions from Nepal’s neighboring countries of India and China and emissions resulting from tourism. Internal sources of pollution in the country include brick and cement factories, consumption of energy from traditional sources such as biomass, …

Accuracy Assessment, Comparative Performance, And Enhancement Of Public Domain Digital Elevation Models (Aster 30 M, Srtm 30 M, Cartosat 30 M, Srtm 90 M, Merit 90 M, And Tandem-X 90 M) Using Dgps, Kumari Preety, Anup K. Prasad, Atul K. Varma, Hesham El-Askary

Mathematics, Physics, and Computer Science Faculty Articles and Research

Publicly available Digital Elevation Models (DEM) derived from various space-based platforms (Satellite/Space Shuttle Endeavour) have had a tremendous impact on the quantification of landscape characteristics, and the related processes and products. The accuracy of elevation data from six major public domain satellite-derived Digital Elevation Models (a 30 m grid size—ASTER GDEM version 3 (Ast30), SRTM version 3 (Srt30), CartoDEM version V3R1 (Crt30)—and 90 m grid size—SRTM version 4.1 (Srt90), MERIT (MRT90), and TanDEM-X (TDX90)), as well as the improvement in accuracy achieved by applying a correction (linear fit) using Differential Global Positioning System (DGPS) estimates at Ground Control Points (GCPs) …

Coming To Know The Local Environment: Children's Experiences In Rautamai Gaunpalika, Nepal, Elsie Nicole Love

Dissertations and Theses

This qualitative research, conducted over three months from late monsoon season into early fall of 2018 with twenty-six children and thirteen adults, explores how children in the hills of Rautamai Gaunpalika, Province 1, Nepal come to know their local environment. Semi-structured interviews with children, their family members, and teachers, and participant observation with children as they worked and played in forests, fields, and streams, suggest that outside of school, children come to know their local environment in the following ways: through participation in and application of knowledge to subsistence practices; through collaborative learning and teaching in mixed-age groups; through relationships …

Autonomous, Long-Range, Sensor Emplacement Using Unmanned Aircraft Systems, Adam Plowcha, Justin Bradley, Jacob Hoberg, Thomas Ammon, Mark Nail, Brittany Duncan, Carrick Detweiler

School of Computing: Faculty Publications

Automated, in-ground sensor emplacement can significantly improve remote, terrestrial, data collection capabilities. Utilizing a multicopter, unmanned aircraft system (UAS) for this purpose allows sensor insertion with minimal disturbance to the target site or surrounding area. However, developing an emplacement mechanism for a small multicopter, autonomy to manage the target selection and implantation process, as well as long-range deployment are challenging to address. We have developed an autonomous, multicopter UAS that can implant subsurface sensor devices. We enhanced the UAS autopilot with autonomy for target and landing zone selection, as well as ensuring the sensor is implanted properly in the ground. …

Landslide Detection In The Himalayas Using Machine Learning Algorithms And U-Net, Sansar Raj Meena, Lucas Pedrosa Soares, Carlos H. Grohmann, Cees Van Westen, Kushanav Bhuyan, Ramesh P. Singh, Mario Floris, Filippo Catani

Biology, Chemistry, and Environmental Sciences Faculty Articles and Research

Event-based landslide inventories are essential sources to broaden our understanding of the causal relationship between triggering events and the occurring landslides. Moreover, detailed inventories are crucial for the succeeding phases of landslide risk studies like susceptibility and hazard assessment. The openly available inventories differ in the quality and completeness levels. Event-based landslide inventories are created based on manual interpretation, and there can be significant differences in the mapping preferences among interpreters. To address this issue, we used two different datasets to analyze the potential of U-Net and machine learning approaches for automated landslide detection in the Himalayas. Dataset-1 is composed …

Teaching The “Wicked” In Geography: Educational Structure, Standards, And Teacher Training As Obstacles To Teaching About Climate Change, Jerry T. Mitchell

Journal of the South Carolina Academy of Science

No abstract provided.

Spatial Downscaling Of Goes-R Land Surface Temperature Over Urban Regions: A Case Study For New York City, Abdou Bah, Hamidreza Norouzi, Satya Prakash, Reginald Blake, Reza Khanbilvardi, Cynthia Rosenzweig

Publications and Research

The surface urban heat island (SUHI) effect is among the major environmental issues encountered in urban regions. To better predict the dynamics of the SUHI and its impacts on extreme heat events, an accurate characterization of the surface energy balance in urban regions is needed. However, the ability to improve understanding of the surface energy balance is limited by the heterogeneity of surfaces in urban areas. This study aims to enhance the understanding of the urban surface energy budget through an innovation in the use of land surface temperature (LST) observations from remote sensing satellites. A LST database with 5–min …

Including Everyone, Everywhere: Understanding Opportunities And Challenges Of Geographic Gender-Inclusion In Oss, Gede Artha Azriadi Prana, Denae Ford, Ayushi Rastogi, David Lo, Rahul Purandare, Nachiappan Nagappan

Research Collection School Of Computing and Information Systems

The gender gap is a significant concern facing the software industry as the development becomes more geographically distributed. Widely shared reports indicate that gender differences may be specific to each region. However, how complete can these reports be with little to no research reflective of the Open Source Software (OSS) process and communities software is now commonly developed in? Our study presents a multi-region geographical analysis of gender inclusion on GitHub. This mixed-methods approach includes quantitatively investigating differences in gender inclusion in projects across geographic regions and investigate these trends over time using data from contributions to 21,456 project repositories. …

College Of Natural Sciences Newsletter, February 2022, College Of Natural Sciences

College of Natural Sciences Newsletters and Reports

Volume 3, Issue 2

Page 1 Dean's Message
Page 2 Awards & Recognition
Page 3-4 Media Coverage of CNS
Page 5- 6 Local Boy Scouts Earn Their Chemistry Merit Badges
Page 7-8 Mount Vernon Teacher Wins 2022 South Dakota Outstanding Physical Science Teacher Award
Page 9 Middle Schoolers Visit SDSU
Page 10 Microbiology Club Tours POET
Page 11 53rd Geography Convention
Page 12 Open PRAIRIE Data

Snow Cover Variability And Trend Over The Hindu Kush Himalayan Region Using Modis And Srtm Data, Nirasindhu Desinayak, Anup K. Prasad, Hesham El-Askary, Menas Kafatos, Ghassem R. Asrar

Mathematics, Physics, and Computer Science Faculty Articles and Research

Snow cover changes have a direct bearing on the regional and global energy and water cycles and the change in the Earth's climate conditions. We studied the relatively long-term (2000–2017) altitudinal spatiotemporal changes in the coverage of snow and glaciers in one of the world's largest mountainous regions, the Hindu Kush Himalayan (HKH) region, including Tibet, using remote sensing data (5 km grid resolution) from the Moderate Resolution Imaging Spectroradiometer (MODIS) on board the Terra satellite. This dataset provided a unique opportunity to study zonal and hypsographic changes in the intra-annual (accumulating season and melting season) and interannual variations in …