Geographic Information Sciences Commons^™

Evaluation And Application Of A New Shape-Sensitive Metric Useful For Characterizing Both Spectral Curves And Lidar Waveforms, Eric Ariel L. Salas

Electronic Theses and Dissertations

This dissertation seeks to investigate hyperspectral and waveform LiDAR datasets through a new analytical framework called Moment Distance method that uses a metric derived from the shape of the curve (spectral or waveform). In the case of hyperspectral data, the shape of the reflectance curve should unmask fine points of the spectra usually not considered by existing band-specific indices. To explore the advantages and shortcomings of this new approach, leaf and canopy hyperspectral reflectance samples were simulated using the physicallybased models PROSPECT (a leaf model) and SAIL (a canopy model). Sensitivity analysis was conducted with the goal of understanding the …

Crater Detection Via Genetic Search Methods To Reduce Image Features, Joseph Paul Cohen

Graduate Masters Theses

Recent approaches to crater detection have been inspired by face detection's use of gray-scale texture features. Using gray-scale texture features for supervised machine learning crater detection algorithms provides better classification of craters in planetary images than previous methods. When using Haar features it is typical to generate thousands of numerical values from each candidate crater image. This magnitude of image features to extract and consider can spell disaster when the application is an entire planetary surface. One solution is to reduce the number of features extracted and considered in order to increase accuracy as well as speed. Feature subset selection …

Techniques For The Visualization Of Positional Geospatial Uncertainty, Brent A. Barré

LSU New Orleans Theses and Dissertations

Geospatial data almost always contains some amount of uncertainty due to inaccuracies in its acquisition and transformation. While the data is commonly visualized (e.g. on digital maps), there are unanswered needs for visualizing uncertainty along with it. Most research on effectively doing this addresses uncertainty in data values at geospatial positions, e.g. water depth, human population, or land-cover classification. Uncertainty in the data’s geospatial positions themselves (positional uncertainty) has not been previously focused on in this regard. In this thesis, techniques were created for visualizing positional uncertainty using World Vector Shoreline as an example dataset. The techniques consist of a …

Building A Gis Model To Assess Agritourism Potential, Brian G. Baskerville

Department of Geography: Dissertations, Theses, and Student Research

Rural areas of the world are developing and implementing tourism programs to diversify and reinvigorate their local economies. Often, these programs focus on privately-held lands in largely agricultural regions. In some countries, tourism development strategies have combined agriculture and tourism to create a new industry – agritourism. This industry, although not new in the United States, is still in its nascent stages. Before starting an agritourism enterprise, farmers and ranchers must consider the various factors that will likely influence their potential for long-term success. These factors can be grouped into 1) farm-specific factors such as an operator’s personality or the …

Global Digital Elevation Model Accuracy Assessment In The Himalaya, Nepal, Luke G. Miles

Masters Theses & Specialist Projects

Digital Elevation Models (DEMs) are digital representations of surface topography or terrain. Collection of DEM data can be done directly through surveying and taking ground control point (GCP) data in the field or indirectly with remote sensing using a variety of techniques. The accuracies of DEM data can be problematic, especially in rugged terrain or when differing data acquisition techniques are combined. For the present study, ground data were taken in various protected areas in the mountainous regions of Nepal. Elevation, slope, and aspect were measured at nearly 2000 locations. These ground data were imported into a Geographic Information System …

Spatial Analysis Of Fatal Automobile Crashes In Nashville, Tn, 2001-2011, Yan Chen

Masters Theses & Specialist Projects

With increasing levels of motor vehicle ownership, automobile crashes have become a serious public issue in the U.S. and around the world. Knowing when, where, and how traffic accidents happen is critical in order to ensure road safety and to plan for adequate road infrastructure. There is a rich body of literature pertaining to time-related fatal crashes, most of which focuses on non-spatial factors such as a driver’s visibility at night, drinking and drug use, and road conditions. These studies provide a theoretical basis for understanding the causes of crashes from a non-spatial perspective, and a number of traffic laws …

Eastern Deciduous Forest Phenology And Vegetative Vigor Trends From 2000 To 2013, Mammoth Cave National Park, Ky, Sean Taylor Hutchison

Masters Theses & Specialist Projects

Global climate change is predicted to affect environmental systems at the midlatitudes, but the scope, severity, and outcomes of these impacts are yet to be fully understood. This study focuses on the implications of short-term climate variability for forests in central Kentucky. Using a Normalized Difference Vegetation Index (NDVI) calculated from MODerate-Resolution Imaging Spectroradiometer (MODIS) instrument data, the photosynthetic activity of vegetation at Mammoth Cave National Park (MACA) is tracked from 2000 to 2013. Three methods were employed to examine the changes and climate influences in vegetation over the study period: 1) aggregating the NDVI of the Park by year …

Bedrock Geological Map Of The Rockhouse Quadrangle, Carroll And Madison Counties, Arkansas, Douglas Eben Jones

Graduate Theses and Dissertations

A digital geologic map of the Rockhouse quadrangle, Carroll and Madison counties, Arkansas, was created on a 1:24,000 scale using ArcMap 10 and Photoshop CS4. The data obtained in the field are digitized onto the United States Geological Survey (USGS) digital raster graphic (DRG) of the Rockhouse quadrangle. The geology in the Rockhouse quadrangle consist entirely of sedimentary rocks that are Paleozoic ranging from Lower Ordovician to Mississippian in age. The Ordovician System is represented by the Cotter, Powell, Everton, and St. Peter Formations. The Cotter and Powell are the prominent bluff forming units throughout the quadrangle and along the …

Imls Place Grant: Campus Journal Press Release, Place Project Group

PLACE Project

Campus Journal press release describing the PLACE (Position-based Location Archive Coordinate Explorer) project that is funded by the Institute for Museum and Library Services. The University of New Hampshire (UNH) library partnered with the UNH Earth Systems Research Center to develop a geospatial interface that is searchable by geospatial coordinates.

Unh Library Imls Place Grant News Announcement, Place Project Group

PLACE Project

UNH Library Website News announcement about the IMLS Grant for PLACE, November 7, 2014.

Engaging Stakeholders In Ecosystem Service Assessment Under Climate Change And Urban Development Scenarios, Heejun Chang, David E. Ervin, Wes Hoyer, Mike Psaris, Ken Lyons, Emily D. Dietrich, Samantha Hamlin, John Lambrinos, Tammy Winfield, Bobby Cochran

Geography Faculty Publications and Presentations

This presentation focuses on how scientists can engage stakeholders in ecosystem service assessment.

Assessing Cultural Ecosystem Services Using Gis-Based Landscape Values Mapping. Case Study: Olympic Peninsula Human Ecology Mapping Project, Diane Besser, Rebecca J. Mclain, Lee Cerveny, David Banis

Institute for Sustainable Solutions Publications and Presentations

This presentation focuses on the Olympic Peninsula mapping project objectives:

• Develop and test a method for mapping sociocultural values at a Bioregional scale
• Test techniques for analyzing spatialized sociocultural values data
• Explore ways to integrate spatialized sociocultural values into forest management planning

Moving Forward: Next Steps For Confronting Increased Flood Risks, Molly Mitchell

October 2, 2013: Quantifying Risks and Moving Forward

No abstract provided.

Imls Place Grant: Press Release Abstract 1, Place Project Group

PLACE Project

Early press release describing the PLACE (Position-based Location Archive Coordinate Explorer) project that is funded by the Institute for Museum and Library Services. The University of New Hampshire (UNH) library partnered with the UNH Earth Systems Research Center to develop a geospatial interface that is searchable by geospatial coordinates.

[Sabbatical Report], Jun Yan

Sabbatical Reports

During my sabbatical leave (Fall 2013), I have mainly worked on the project to explore the dynamics of the U.S. domestic airline market. This project focuses on geographic changes in the U.S. domestic airline market over the past two decades (1993-2012) at the level of city-pair directional markets. The primary goal for this project during my sabbatical is to prepare and process data for further analysis in the coming years.

Manifold Learning Based Spectral Unmixing Of Hyperspectral Remote Sensing Data, Jun-Hwa Chi

Open Access Dissertations

Nonlinear mixing effects inherent in hyperspectral data are not properly represented in linear spectral unmixing models. Although direct nonlinear unmixing models provide capability to capture nonlinear phenomena, they are difficult to formulate and the results are not always generalizable. Manifold learning based spectral unmixing accommodates nonlinearity in the data in the feature extraction stage followed by linear mixing, thereby incorporating some characteristics of nonlinearity while retaining advantages of linear unmixing approaches. Since endmember selection is critical to successful spectral unmixing, it is important to select proper endmembers from the manifold space. However, excessive computational burden hinders development of manifolds for …

Riga: A Rich Internet Geospatial Analytics Application For Area-Based Data, Tin Seong Kam

Research Collection School Of Computing and Information Systems

In this information age, more and more public statistical data such as population census, household living, local economy and business establishment are distributed over the internet within the framework of spatial data infrastructure. By and large, these data are organized geographically such as region, province as well as district. Usually, they are published in the form of digital maps over the internet as simple points, lines and polygons markers limited or no analytical function available to transform these data into useful information. To meet the analytical needs of casual public data users, we contribute RIGA, a rich internet geospatial analytics …

The Myths Of G-Tech For Business Decision Making, Tin Seong Kam

Research Collection School Of Computing and Information Systems

More than 80% of organisation data are location related - the locations where transactions are done, where retailers are found, and of customers who buy their products. Since the early 2005, there has been an increasing interest among the business community to use geospatial technology to enhance decision making process at both strategic and operational levels. Millions of dollars and man-hours have been invested into driving their geo-technology development and implementation. The use of geospatial technology in business, however, tends to confine to simple mapping. Many of these failures are the victims of misperception. Some of the perpetrators are practitioners. …

Mapping Disease At An Approximated Individual Level Using Aggregate Data: A Case Study Of Mapping New Hampshire Birth Defects, Xun Shi, Stephanie Miller, Kevin Mwenda, Akikazu Onda

Dartmouth Scholarship

Limited by data availability, most disease maps in the literature are for relatively large and subjectively-defined areal units, which are subject to problems associated with polygon maps. High resolution maps based on objective spatial units are needed to more precisely detect associations between disease and environmental factors. Method: We propose to use a Restricted and Controlled Monte Carlo (RCMC) process to disaggregate polygon-level location data to achieve mapping aggregate data at an approximated individual level. RCMC assigns a random point location to a polygon-level location, in which the randomization is restricted by the polygon and controlled by the background (e.g., …

Spatially Explicit Data: Stewardship And Ethical Challenges In Science, Joel N. Hartter, Sadie J. Ryan, Catrina A. Mackenzie, John N. Parker, Carly A. Strasser

Geography

Scholarly communication is at an unprecedented turning point created in part by the increasing saliency of data stewardship and data sharing. Formal data management plans represent a new emphasis in research, enabling access to data at higher volumes and more quickly, and the potential for replication and augmentation of existing research. Data sharing has recently transformed the practice, scope, content, and applicability of research in several disciplines, in particular in relation to spatially specific data. This lends exciting potentiality, but the most effective ways in which to implement such changes, particularly for disciplines involving human subjects and other sensitive information, …