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Articles 541 - 570 of 649
Full-Text Articles in Geography
Integrating Faculty Led Service Learning Training To Quantify Height Of Natural Resources From A Spatial Science Perspective, Daniel Unger, David Kulhavy, Kai Busch-Peterson, I-Kuai Hung
Integrating Faculty Led Service Learning Training To Quantify Height Of Natural Resources From A Spatial Science Perspective, Daniel Unger, David Kulhavy, Kai Busch-Peterson, I-Kuai Hung
Faculty Publications
Arthur Temple College of Forestry and Agriculture (ATCOFA) faculty members were trained how to integrate service learning activities within senior level classes at Stephen F. Austin State University (SFASU) in Nacogdoches, Texas. The service learning training, taught under the acronym Mentored Undergraduate Scholarship (MUGS), involved meeting with fellow faculty members over the course of an academic year during the fall semester to first learn how to incorporate service learning activities in a senior level class followed by its incorporation into a class the following spring semester. The service learning model was applied to students in GIS 420, a senior level …
Comparing Unmanned Aerial Systems (Uas) Structure-From-Motion Digital Surface Modeling To Laser Imaging Detection And Ranging (Lidar), Joshua D. Schane
Comparing Unmanned Aerial Systems (Uas) Structure-From-Motion Digital Surface Modeling To Laser Imaging Detection And Ranging (Lidar), Joshua D. Schane
Geography Masters Research Papers
UAS (unmanned-aerial systems) mapping is an emerging technology in spatial science. UAS, more informally referred to as “drones,” are small, radio-controlled or autonomous aerial platforms outfitted with camera sensor systems that can be deployed to fly missions for mapping terrain and structures. With the use of a photogrammetry technique called structure-from-motion, overlapping aerial images can be developed into high-resolution spatial data (< 5-cm). These data are georeferenced by GPS location information assigned to aerial targets which act as ground-control points (GCPs). This research explores the accuracy of the UAS-derived digital surface model (DSM) as it relates to a LIDAR DSM of the same study area in St. Helens, Oregon.
The site that was chosen to be mapped was a large wastewater treatment plant, with surrounding natural areas, residential, and industrial properties. The site was mapped using a small quadcopter-style UAS which was programmed autonomously; the overlapping aerial …
Missing The Trees For The Forest: The Socioecological Significance Of Dispersed Farmland Trees In Northern Ethiopia, Jacob A. Wall, Travis W. Reynolds
Missing The Trees For The Forest: The Socioecological Significance Of Dispersed Farmland Trees In Northern Ethiopia, Jacob A. Wall, Travis W. Reynolds
Honors Theses
Scattered trees are prominent features in the agricultural landscape of the Ethiopian highlands. The dry Afromontane forests of the Amhara Region in northern Ethiopia have faced centuries of deforestation - the FAO estimates only 3% of the region is forested today. The remaining landscape has been largely converted into agricultural and grazing lands, with the exception of some limited government-protected lands, as well as thousands of small forest fragments left around Orthodox Churches (“church forests”). But while a growing body of scholarship has highlighted the ecological and cultural importance of church forests and other natural forest fragments, the roles of …
Missing The Trees For The Forest: The Socioecological Significance Of Dispersed Farmland Trees In Northern Ethiopia, Jacob A. Wall
Missing The Trees For The Forest: The Socioecological Significance Of Dispersed Farmland Trees In Northern Ethiopia, Jacob A. Wall
Honors Theses
Scattered trees are prominent features in the agricultural landscape of the Ethiopian highlands. The dry Afromontane forests of the Amhara Region in northern Ethiopia have faced centuries of deforestation - the FAO estimates only 3% of the region is forested today. The remaining landscape has been largely converted into agricultural and grazing lands, with the exception of some limited government-protected lands, as well as thousands of small forest fragments left around Orthodox Churches (“church forests”). But while a growing body of scholarship has highlighted the ecological and cultural importance of church forests and other natural forest fragments, the roles of …
Identifying Data Centers From Satellite Imagery, Adam Buskirk
Identifying Data Centers From Satellite Imagery, Adam Buskirk
Electronic Theses and Dissertations
We develop two different descriptors which can be utilized to describe satellite imagery. The first, the differential-magnitude and radius descriptor, describes a scene by computing the directional gradient of the scene with respect to a vector field whose solutions are circles around a pixel to be described, and then counts pixels in a descriptor matrix according to the magnitude of this gradient and the distance at which this magnitude occurs. The second, the radial Fourier descriptor, extracts from the scene a sequence of annuloid sectors, and uses this to approximate the behavior of the image on a circle around the …
Land Cover Land Use Change And Soil Organic Carbon Under Climate Variability In The Semi-Arid West African Sahel (1960-2050), Amadou M. Dieye
Land Cover Land Use Change And Soil Organic Carbon Under Climate Variability In The Semi-Arid West African Sahel (1960-2050), Amadou M. Dieye
Electronic Theses and Dissertations
Land Cover Land Use (LCLU) change affects land surface processes recognized to influence climate change at local, national and global levels. Soil organic carbon is a key component for the functioning of agro-ecosystems and has a direct effect on the physical, chemical and biological characteristics of the soil. The capacity to model and project LCLU change is of considerable interest for mitigation and adaptation measures in response to climate change. A combination of remote sensing analyses, qualitative social survey techniques, and biogeochemical modeling was used to study the relationships between climate change, LCLU change and soil organic carbon in the …
Analysis Of The Geosocial Landscape In The City Of Toronto, Courtney J. Jones
Analysis Of The Geosocial Landscape In The City Of Toronto, Courtney J. Jones
Theses and Dissertations (Comprehensive)
Microblogging on geosocial platforms is a popular form of online communication where users post information about their daily lives and challenges. Since the launch of Twitter in 2006, information sharing through social media has become a largely unused data repository. Tweets often convey content about the users sentiment as it is happening. As such, Tweets can be viewed as a proxy of public mood. In this thesis, I performed a sentiment analysis of all public geo-located Tweets posted by a variety of Twitter users between September 2013 and October 2014. Each Tweet was processed through a custom algorithm to extract …
Simulating The Impacts Of Land-Use Land-Cover Changes On Cropland Carbon Fluxes In The Midwest Of The United States, Zhengpeng Li
Simulating The Impacts Of Land-Use Land-Cover Changes On Cropland Carbon Fluxes In The Midwest Of The United States, Zhengpeng Li
Electronic Theses and Dissertations
Understanding the major drivers of the cropland carbon fluxes is important for carbon management and greenhouse gas mitigation in agriculture. Past studies found that agricultural land-use and land-cover (LULC) changes, such as changes in cropland production technologies, tillage practices, and planted crop species, could have large impacts on carbon fluxes. However, the impacts remain highly uncertain at regional to global scales. Satellite remote sensing is commonly used to create products with geospatial information on LULC changes. This geospatial information can be integrated into biogeochemical models to simulate the spatial and temporal patterns of carbon fluxes. We used the General Ensemble …
Space-Time Modelling Of Emerging Infectious Diseases: Assessing Leptospirosis Risk In Sri Lanka, Cameron C F Plouffe
Space-Time Modelling Of Emerging Infectious Diseases: Assessing Leptospirosis Risk In Sri Lanka, Cameron C F Plouffe
Theses and Dissertations (Comprehensive)
In this research, models were developed to analyze leptospirosis incidence in Sri Lanka and its relation to rainfall. Before any leptospirosis risk models were developed, rainfall data were evaluated from an agro-ecological monitoring network for producing maps of total monthly rainfall in Sri Lanka. Four spatial interpolation techniques were compared: inverse distance weighting, thin-plate splines, ordinary kriging, and Bayesian kriging. Error metrics were used to validate interpolations against independent data. Satellite data were used to assess the spatial pattern of rainfall. Results indicated that Bayesian kriging and splines performed best in low and high rainfall, respectively. Rainfall maps generated from …
Japanese Encephalitis: Assessing Disease Risk Due To Landscape Factors At Multiple Scales, Julia E. Metelka
Japanese Encephalitis: Assessing Disease Risk Due To Landscape Factors At Multiple Scales, Julia E. Metelka
Theses and Dissertations (Comprehensive)
Japanese Encephalitis is a mosquito-borne disease and is the leading cause of viral encephalitis in Asia. In many Asian countries, the geographical distribution of JE is dependent on a variety of human-environment interactions that can be conceptualized as a complex social-ecological system. The JE transmission cycle is influenced by a few primary human-landscape factors; the abundance and the spatial configuration of rice paddy fields (which provide habitat for the vector), the distribution of pig farms (which position the virus' amplifying host), and the location of a susceptible human population. Our models integrate population dynamics, landscape characteristics, and weather variables that …
Reconstruction Of Daily 30 M Data From Hj Ccd, Gf-1 Wfv, Landsat, And Modis Data For Crop Monitoring, Mingquan Wu, Xiaoyang Zhang, Wenjiang Huang, Zheng Niu, Changyao Wang, Wang Li, Pengyu Hao
Reconstruction Of Daily 30 M Data From Hj Ccd, Gf-1 Wfv, Landsat, And Modis Data For Crop Monitoring, Mingquan Wu, Xiaoyang Zhang, Wenjiang Huang, Zheng Niu, Changyao Wang, Wang Li, Pengyu Hao
GSCE Faculty Publications
With the recent launch of new satellites and the developments of spatiotemporal data fusion methods, we are entering an era of high spatiotemporal resolution remote-sensing analysis. This study proposed a method to reconstruct daily 30 m remote-sensing data for monitoring crop types and phenology in two study areas located in Xinjiang Province, China. First, the Spatial and Temporal Data Fusion Approach (STDFA) was used to reconstruct the time series high spatiotemporal resolution data from the Huanjing satellite charge coupled device (HJ CCD), Gaofen satellite no. 1 wide field-of-view camera (GF-1 WFV), Landsat, and Moderate Resolution Imaging Spectroradiometer (MODIS) data. Then, …
Geospatial Workflows And Trust: A Use Case For Provenance, Rachel Frances Linck
Geospatial Workflows And Trust: A Use Case For Provenance, Rachel Frances Linck
Graduate Theses and Dissertations
At first glance the Astronomer by Vermeer, Tutankhamun’s burial mask, and a geospatial workflow may appear to have nothing in common. However, a commonality exists; each of these items can have a record of provenance detailing their history. Provenance is a record that shows who did what to an object, where this happened, and how and why these actions took place. In relation to the geospatial domain, provenance can be used to track and analyze the changes data has undergone in a workflow, and can facilitate scientific reproducibility. Collecting provenance from geospatial workflows and finding effective ways to use this …
Utilizing Web-Based Gis Applications For Spatial Analysis Of Real Estate Appraisal Data, Esther Bowlin
Utilizing Web-Based Gis Applications For Spatial Analysis Of Real Estate Appraisal Data, Esther Bowlin
Geography and the Environment: Graduate Student Capstones
Internet-based map applications have become a widely implemented GIS tool, and by most estimations, will experience continued growth over the coming years. The real estate industry is particularly well positioned to capitalize on the boom of web mapping technologies as real estate is a largely spatial discipline. To fulfill the marketing objectives of a real estate appraisal firm, a web-based mapping application was developed to execute simple spatial analysis tasks. The application is capable of analysis tasks such as heat mapping and includes geolocation services as well as coordinate conversion. All processes are executed within the Google Map API and …
Who, What And Why: A Statistical And Geospatial Analysis Of The Development Of The Marcellus Shale In West Virginia, Erin Sevatson
Who, What And Why: A Statistical And Geospatial Analysis Of The Development Of The Marcellus Shale In West Virginia, Erin Sevatson
Geography and the Environment: Graduate Student Capstones
Over the last decade, the Marcellus Shale in West Virginia has seen a rapid rise in exploitation of resources. The boom is undeniable but the reasons behind the success stories remain debatable. What factors have led to successes for operators in the Marcellus Shale in West Virginia? Statistical and spatial analysis can aid in making that determination. Statistical analysis will focus on correlating leased acreage numbers to drilled and producing well data to demonstrate the correlation between leased acres and number of wells. Spatial Analysis will be used to determine the areas with the highest prevalence of drilled and producing …
Predicting Toucan Locations In Panama Using Arcgis, Daniel J. Herrera
Predicting Toucan Locations In Panama Using Arcgis, Daniel J. Herrera
Geography: Student Scholarship & Creative Works
Toucans are omnivorous birds native to southern Latin America and South America. They are non-migratory, and their range is disputed among experts. In an attempt to develop a better understanding of the range and behavior of toucans, correlations between toucan presence and geographic features of the area were analyzed to create a location probability map.
Habitat Selection Of Wolverines: A Geospatial Analysis Of Wolverine Movements In Southwest Montana, Bryn Karabensh
Habitat Selection Of Wolverines: A Geospatial Analysis Of Wolverine Movements In Southwest Montana, Bryn Karabensh
Geography and the Environment: Graduate Student Capstones
Wolverine research in the contiguous United States is not abundant and understanding of the ecology of this species is not fully understood in this ecosystem. Specifically lacking in research is data regarding wolverine movements. This paucity of data and analysis inhibits the ability to effectively develop and implement conservation and management strategies. This paper seeks to identify patterns and habitat preferences of wolverines with respect to their movements. Specifically, do they avoid roads and clear-cuts zones from timber harvest and do they display a preference to topography features during movements? Using GPS locations of wolverines a regression analysis was applied. …
Selection Of A Reanalysis Meteorological Product For Use In Solar Resource Assessment, Anthony Lopez
Selection Of A Reanalysis Meteorological Product For Use In Solar Resource Assessment, Anthony Lopez
Geography and the Environment: Graduate Student Capstones
The U.S. Department of Energy’s National Renewable Energy Laboratory and collaborators are updating the National Solar Radiation Database with the next-generation satellite-based solar resource assessment known as the Physical Solar Model (PSM). This is part of an effort to achieve NREL and DOE’s goal to make solar energy technologies cost competitive with other forms of energy in the United States. Required in this effort is the selection of an appropriate meteorological reanalysis product- that provides critical inputs for solar energy estimation. This analysis quantitatively and qualitatively assessed the spatial and temporal accuracy of three meteorological reanalysis products using ground measurements. …
Building A Better Model: Variable Selection To Predict Poverty In Pakistan And Sri Lanka, Marium Afzal, Jonathan Hersh, David Newhouse
Building A Better Model: Variable Selection To Predict Poverty In Pakistan And Sri Lanka, Marium Afzal, Jonathan Hersh, David Newhouse
Economics Faculty Articles and Research
Numerous studies have developed models to predict poverty, but surprisingly few have rigorously examined different approaches to developing prediction models. This paper applies out of sample validation techniques to household data from Pakistan and Sri Lanka, to compare the accuracy of regional poverty predictions from models derived using manual selection, stepwise regression, and Lasso-based procedures. It also examines how much incorporating publically available satellite data into the model improves its accuracy. The five main findings are that: 1) Lasso tends to outperform both discretionary and stepwise models in Pakistan, where the set of potential predictors is large. 2) Lasso and …
Evaluating User Interaction With A Web-Based Group Decision Support System: A Comparison Between Two Clustering Methods, Martin Swobodzinski, Piotr Jankowski
Evaluating User Interaction With A Web-Based Group Decision Support System: A Comparison Between Two Clustering Methods, Martin Swobodzinski, Piotr Jankowski
Geography Faculty Publications and Presentations
Task-Technology Fit theory and the Technology Acceptance Model identify system utilization as an important indicator for the performance of complex software systems. Yet, empirical evaluations of user interaction with group decision support systems are scarce and often methodologically underdeveloped. For this study we employed an exploratory evaluation of user interaction in the context of web-based group decision support systems. Specifically, we used information-rich server logs captured through a web-based platform for participatory transportation planning to identify groups of users with similar use patterns. The groups were derived through multiple sequence alignment and hierarchical cluster analysis based on varying user activity …
Spatial Patterns Of Drought Persistence In Xinjiang (A.R), China, Guzhaliayi Sataer
Spatial Patterns Of Drought Persistence In Xinjiang (A.R), China, Guzhaliayi Sataer
Masters Theses
Droughts have become one of the crucial hazards affecting Xinjiang, Northwest China, the biggest agricultural province and an important area for the grazing husbandry industry in China. Investigations about droughts in Xinjiang have been conducted from various perspectives by previous researchers. However, there are very few studies that focus on drought persistence and seasonal drought frequency. These issues are particularly important as they influence water resource management and forecasting, crop yields, agricultural development and energy consumption. Seasonal drought persistence describes how well drought conditions persist from one season to next season and is expressed as probability of persistence. In this …
Using Spatiotemporal Methods To Fill Gaps In Energy Usage Interval Data, Kristin K. Graves
Using Spatiotemporal Methods To Fill Gaps In Energy Usage Interval Data, Kristin K. Graves
Theses and Dissertations
Researchers analyzing spatiotemporal or panel data, which varies both in location and over time, often find that their data has holes or gaps. This thesis explores alternative methods for filling those gaps and also suggests a set of techniques for evaluating those gap-filling methods to determine which works best.
Mountain Passes And Saddle Points, James Bisgard
Mountain Passes And Saddle Points, James Bisgard
All Faculty Scholarship for the College of the Sciences
Variational methods find solutions of equations by considering a solution as a critical point of an appropriately chosen function. Local minima and maxima are well-known types of critical points. We explore methods for finding critical points that are neither local maxima or minima, but instead are mountain passes or saddle points. Criteria for the existence of minima or maxima are well known, but those for mountain passes or saddle points are less well known. We give an accessible treatment of some criteria for the existence of such points (including the mountain pass lemma), as well as describe a method that …
Monitoring Invasive Plant Species: Summer Internship At Habitat Wildlife Sanctuary, Belmont, Massachusetts, Holly M. Zanoni
Monitoring Invasive Plant Species: Summer Internship At Habitat Wildlife Sanctuary, Belmont, Massachusetts, Holly M. Zanoni
Sustainability and Social Justice
Habitat Wildlife Sanctuary, located in Belmont, Massachusetts is a dynamic suburban sanctuary that effectively upholds Mass Audubon’s three-part mission of advocacy, conservation, and education. Invasive plants threaten ecological integrity; however, proactive measures are taken to mitigate further encroachment. This is accomplished by surveying and taking inventory for presence of invasive species, then prioritizing them, and finally by incorporating high priority species into the immediate management strategy. Four invasive plants were formally analyzed using geographic information science during the 2014 growing season: Garlic mustard, Black swallowwort, Japanese knotweed, and Dame’s Rocket. The resulting density maps detected pattern changes from 2011, 2012, …
State Of Texas: Ten Largest Billboard Company Sign Locations, Brad Henley, Daniel Unger
State Of Texas: Ten Largest Billboard Company Sign Locations, Brad Henley, Daniel Unger
Bright Ideas Conference
Spatial analysis of the ten largest billboard company sign locations in Texas. The analysis was undertaken in conjunction with SFA's billboard campaign to increase enrollment. Results indicate visually that the majority of billboards in Texas are within close proximity to major metropolitan areas.
Analysis Of Spatial Variability Of Near-Surface Soil Moisture To Increase Rainfall-Runoff Modelling Accuracy In Sw Hungary, P. Hegedüs, S. Czigány, E. Pirkhoffer, L. Balatonyi, Robert Hickey
Analysis Of Spatial Variability Of Near-Surface Soil Moisture To Increase Rainfall-Runoff Modelling Accuracy In Sw Hungary, P. Hegedüs, S. Czigány, E. Pirkhoffer, L. Balatonyi, Robert Hickey
All Faculty Scholarship for the College of the Sciences
Between September 5, 2008 and September 5, 2009, near-surface soil moisture time series were collected in the northern part of a 1.7 km2 watershed in SWHungary at 14 monitoring locations using a portable TDR-300 soil moisture sensor. The objectives of this study are to increase the accuracy of soil moisture measurement at watershed scale, to improve flood forecasting accuracy, and to optimize soil moisture sensor density.
According to our results, in 10 of 13 cases, a strong correlation exists between the measured soil moisture data of Station 5 and all other monitoring stations; Station 5 is considered representative for the …
Hickory Creek Orchard Feasibility Study, Brad Henley
Hickory Creek Orchard Feasibility Study, Brad Henley
Undergraduate Research Conference
Does land in East Texas host desirable soil types for developing large acreage into nut-bearing orchards?
Geospatial Analysis Of Smart Growth And Transit Oriented Developments, Michelle J. Nichols
Geospatial Analysis Of Smart Growth And Transit Oriented Developments, Michelle J. Nichols
Geography and the Environment: Graduate Student Capstones
Rapid population growth, water and air pollution, overloaded public services, and traffic congestion can stress economies and result in unsustainable communities. Geographic Information Science (GIS) is a valuable technology for reversing negative these types of trends by identifying areas that may presently exhibit Smart Growth characteristics. Rather than expand on the current transportation infrastructure and develop new Smart Growth communities, San Diego Metropolitan’s Transit System (SDMTS) intends to use this study to review the current transit routing infrastructure in an effort to support communities exhibiting Smart Growth potential. Communities along existing transportation infrastructure will analyzed as potential Smart Growth and …
Spatial And Seasonal Responses Of Precipitation In The Ganges And Brahmaputra River Basins To Enso And Indian Ocean Dipole Modes: Implications For Flooding And Drought, M. S. Pervez, G. M. Henebry
Spatial And Seasonal Responses Of Precipitation In The Ganges And Brahmaputra River Basins To Enso And Indian Ocean Dipole Modes: Implications For Flooding And Drought, M. S. Pervez, G. M. Henebry
Natural Resource Management Faculty Publications
We evaluated the spatial and seasonal responses of precipitation in the Ganges and Brahmaputra basins as modulated by the El Niño Southern Oscillation (ENSO) and Indian Ocean Dipole (IOD) modes using Global Precipitation Climatology Centre (GPCC) full data reanalysis of monthly global land-surface precipitation data from 1901 to 2010 with a spatial resolution of 0.5° × 0.5°. The GPCC monthly total precipitation climatology targeting the period 1951–2000 was used to compute gridded monthly anomalies for the entire time period. The gridded monthly anomalies were averaged for the years influenced by combinations of climate modes. Occurrences of El Niño alone significantly …
Agenda, Hr Adaptation Forum
Agenda, Hr Adaptation Forum
January 23, 2015: Storm Surge Modeling Tools for Planning and Response
No abstract provided.
Cultural Implications Of Late Quaternary Environmental Change In Northeastern Texas, Michael B. Collins, C. Britt Bousman
Cultural Implications Of Late Quaternary Environmental Change In Northeastern Texas, Michael B. Collins, C. Britt Bousman
CRHR Research Reports
Northeastern Texas is one of the most intensely studied archaeological regions of the state, principally for the two reasons that (1) archaeologically-rich Caddoan manifestations have long attracted interest and (2) many large land-modifying projects, such as reservoirs and strip mines, have occasioned environmental studies which include investigations of cultural resources. This greater amount of activity relative to other regions in the state has generally prevailed for more than a century (Guy 1990) and prospects are good that archaeologists will continue to intensely research the area in the foreseeable future. Unfortunately, however, they will be hard-pressed to keep pace with the …