Geography Commons^™

Computationally Inexpensive Landsat 8 Operational Land Imager (Oli) Pansharpening, Hankui Zhang, David P. Roy

GSCE Faculty Publications

Pansharpening algorithms fuse higher spatial resolution panchromatic with lower spatial resolution multispectral imagery to create higher spatial resolution multispectral images. The free-availability and systematic global acquisition of Landsat 8 data indicate an expected need for global coverage and so computationally efficient Landsat 8 pansharpening. This study adapts and evaluates the established, and relatively computationally inexpensive, Brovey and context adaptive Gram Schmidt component substitution (CS) pansharpening methods for application to the Landsat 8 15 m panchromatic and 30 m red, green, blue, and near-infrared bands. The intensity images used by these CS pansharpening methods are derived as a weighted linear combination …

Reaching The Water's Edge: Assessing Riverfront Accessibility In The Quad Cities Area, Lorraine Stamberger

Geography: Student Scholarship & Creative Works

In river towns across the United States, a slow transformation is taking place as aging and abandoned industrial infrastructure is being replaced by new riverfront uses. Consequently, the urban American riverfront has become a battleground, with municipalities, developers, and large corporations fighting over this contested land. Although riverfronts offer a wealth of benefits for the public such as therapeutic river views and abundant recreational opportunities, studies have shown that public interests and access are often overlooked in the waterfront development process. The purpose of this research is to understand the level of access people in the Quad Cities community have …

Nuisance And Call For Service Data Analysis, Dr. Jennifer Burnham, Kristin Schoenecker, Irene Mekus, Melisa Ribikawskis

2015-2016: Clinton, Iowa

No abstract provided.

The Global Landsat Archive: Status, Consolidation, And Direction, Michael A. Wulder, Joanne C. White, Thomas R. Loveland, Curtis E. Woodcock, Alan S. Belward, Warren B. Cohen, Eugene A. Fosnight, Jerad Shaw, Jeffrey G. Masek, David P. Roy

GSCE Faculty Publications

New and previously unimaginable Landsat applications have been fostered by a policy change in 2008 that made analysis-ready Landsat data free and open access. Since 1972, Landsat has been collecting images of the Earth, with the early years of the program constrained by onboard satellite and ground systems, as well as limitations across the range of required computing, networking, and storage capabilities. Rather than robust on-satellite storage for transmission via high bandwidth downlink to a centralized storage and distribution facility as with Landsat-8, a network of receiving stations, one operated by the U.S. government, the other operated by a community …

Comparing Remotely Sensed Pictometry® Web Based Slope Distance Estimates With In Situ Total Station And Tape Slope Distance Estimates, David Kulhavy, Daniel Unger, Yanli Zhang, Phillip Bedford, I-Kuai Hung

Faculty Publications

Slope distance was measured between the top of 30 light poles and their respective ground level coordinate identified within a central parking lot on the campus of Stephen F. Austin State University, Nacogdoches, Texas. Slope distance measured using Pictometry^® hyperspatial 4-inch (10.2 centimeters) multispectral imagery within a web based interface was compared to in situ total station and tape measured slope distance. The range for mean slope distance for Pictometry^®, total station, and tape measured slope distance was 0.05 meters. Mean slope distance was 15.36 meters, 15.37 meters, and 15.41 meters for Pictometry^®, total station, …

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 …

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

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 …

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 …

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

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 …

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 …

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 …

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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 …