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Articles 151 - 180 of 331

Full-Text Articles in Geographic Information Sciences

The Image From The Road: Towards Mapping The Phenomenological, Rachel Anna Smith Loerts May 2019

The Image From The Road: Towards Mapping The Phenomenological, Rachel Anna Smith Loerts

Graduate Theses and Dissertations

An area of focus, used in early and contemporary forms of cognitive geography research, is the ‘cognitive map’, a concept that suggests “that people hold a map-like database in their minds to which they can add and use to tackle geographical tasks”. Kevin Lynch, an urban planner in the 1960s, was an early adopter of the cognitive map approach to reveal spatial cognition, what or how people see their environment, specifically cognition of the urban environment. Lynch’s research aimed to develop empirical methods, to identify how people make spatial relationships. Contemporary tools like machine learning are now considered relevant for …


An Evaluation Of Sentinel-1 And Sentinel-2 For Land Cover Classification, Aaron Meneghini Apr 2019

An Evaluation Of Sentinel-1 And Sentinel-2 For Land Cover Classification, Aaron Meneghini

Sustainability and Social Justice

This study evaluates Sentinel-1 and Sentinel-2 remotely sensed images for tropical land cover classification. The dual polarized Sentinel-1 VV and VH backscatter images and four 10-meter multispectral bands of Sentinel-2 were used to create six land cover classification images across two study areas along the border of the Bolivian Pando Department and the Brazilian state of Acre. Results indicate that Sentinel-2 multispectral bands possess a higher overall performance in delineating land cover types than the Sentinel-1 backscatter bands. Sentinel-1 backscatter bands delineated land cover types based on their surficial properties but did not facilitate the separation of similarly textured classes. …


Vulnerability Of Industrial Facilities In The Lower Mississippi River Industrial Corridor To Relative Sea Level Rise And Tropical Cyclone Storm Surge, Joseph Blake Harris Mar 2019

Vulnerability Of Industrial Facilities In The Lower Mississippi River Industrial Corridor To Relative Sea Level Rise And Tropical Cyclone Storm Surge, Joseph Blake Harris

LSU Doctoral Dissertations

Relative sea level rise (RSLR) and tropical cyclone-induced storm surge are major threats to the Lower Mississippi River Industrial Corridor (LMRIC) which has approximately 120 industrial complexes located within the corridor. Spatial interpolation methods were applied to the 2004 National Oceanic and Atmospheric published Technical Report #50 subsidence dataset and cross-validation techniques were used to determine the accuracy of each method. Digital elevation models (DEMs) were created for the years 2025, 2050, and 2075, based on these predictive surface of subsidence rates. Future DEMs were utilized to model RSLR and determine the extent of storm surge on the LMRIC by …


Archaeology And Climate Change: Sites At Risk Of Sea Level Rise In The Puget Sound, Christy Lynn Berg Jan 2019

Archaeology And Climate Change: Sites At Risk Of Sea Level Rise In The Puget Sound, Christy Lynn Berg

2019 Symposium

The Puget Sound Watershed, located along Washington’s Northwest coast, contains 5,467 recorded archaeological sites. 1,290 of which are listed on the National Register of Historic Places. The majority of these sites are located along the coastline and associated waterways making them highly susceptible to climate change induced sea level rise. This research uses data provided from The Washington State Department of Archaeology and Historic Preservation and a geographic information system (GIS) to determine the susceptibility of thousands of sites to rising sea-levels. A mosaic of 10m resolution digital elevation models (DEMS) was created for the Puget Sound Watershed and elevation …


Augmenting Land Cover/Land Use Classification By Incorporating Information From Land Surface Phenology: An Application To Quantify Recent Cropland Expansion In South Dakota, Lan Hoang Nguyen Jan 2019

Augmenting Land Cover/Land Use Classification By Incorporating Information From Land Surface Phenology: An Application To Quantify Recent Cropland Expansion In South Dakota, Lan Hoang Nguyen

Electronic Theses and Dissertations

Understanding rapid land change in the U.S. NGP region is not only critical for management and conservation of prairie habitats and ecosystem services, but also for projecting production of crops and biofuels and the impacts of land conversion on water quality and rural transportation infrastructure. Hence, it raises the need for an LCLU dataset with good spatiotemporal coverage as well as consistent accuracy through time to enable change analysis. This dissertation aims (1) to develop a novel classification method, which utilizes time series images from comparable sensors, from the perspective of land surface phenology, and (2) to apply the land …


Characterizing Spatiotemporal Patterns Of White Mold In Soybean Across South Dakota Using Remote Sensing, Confiance L. Mfuka Jan 2019

Characterizing Spatiotemporal Patterns Of White Mold In Soybean Across South Dakota Using Remote Sensing, Confiance L. Mfuka

Electronic Theses and Dissertations

Soybean is among the most important crops, cultivated primarily for beans, which are used for food, feed, and biofuel. According to FAO, the United States was the biggest soybeans producer in 2016. The main soybean producing regions in the United States are the Corn Belt and the lower Mississippi Valley. Despite its importance, soybean production is reduced by several diseases, among which Sclerotinia stem rot, also known as white mold, a fungal disease that is caused by the fungus Sclerotinia sclerotiorum is among the top 10 soybean diseases. The disease may attack several plants and considerably reduce yield. According to …


How Are Interannual Variations Of Land Surface Phenology In The Highland Pastures Of Kyrgyzstan Modulated By Terrain, Snow Cover Seasonality, And Climate Oscillations? An Investigation Using Multi-Source Remote Sensing Data, Monika Anna Tomaszewska Jan 2019

How Are Interannual Variations Of Land Surface Phenology In The Highland Pastures Of Kyrgyzstan Modulated By Terrain, Snow Cover Seasonality, And Climate Oscillations? An Investigation Using Multi-Source Remote Sensing Data, Monika Anna Tomaszewska

Electronic Theses and Dissertations

In the semiarid, continental climates of montane Central Asia, with its constant moisture deficit and low relative humidity, agropastoralism constitutes the foundation of the rural economy. In Kyrgyzstan, an impoverished, landlocked republic in Central Asia, herders of the highlands practice vertical transhumance—the annual movement of livestock to higher elevation pastures to take advantage of seasonally available forage resources. Dependency on pasture resource availability during the short mountain growing season makes herds and herders susceptible to changing weather and climate patterns. This dissertation focuses on using remote sensing observations over the highland pastures in Kyrgyzstan to address five interrelated topics: (i) …


The Impacts Of Land Use And Land Cover Change On Water Quality In The Big Sioux River: 2007-2016, Dinesh Shrestha Jan 2019

The Impacts Of Land Use And Land Cover Change On Water Quality In The Big Sioux River: 2007-2016, Dinesh Shrestha

Electronic Theses and Dissertations

Between 2006 and 2012, conversion of 485,000 acres of grassland to cropland in eastern South Dakota was reported. In 2012, the Big Sioux River (BSR) running through most of eastern South Dakota was listed among the dirtiest rivers in the nation. This rating convinced state authorities to study trends of land cover changes in the BSR watershed and its association with BSR water quality with respect to increases in nitrate levels. This research i) quantifies spatial and temporal changes in the land cover types within the BSR watershed, and ii) identifies any correlation between these changes and changes in BSR …


Object-Based Supervised Machine Learning Regional-Scale Land-Cover Classification Using High Resolution Remotely Sensed Data, Christopher A. Ramezan Jan 2019

Object-Based Supervised Machine Learning Regional-Scale Land-Cover Classification Using High Resolution Remotely Sensed Data, Christopher A. Ramezan

Graduate Theses, Dissertations, and Problem Reports (ETD)

High spatial resolution (HR) (1m – 5m) remotely sensed data in conjunction with supervised machine learning classification are commonly used to construct land-cover classifications. Despite the increasing availability of HR data, most studies investigating HR remotely sensed data and associated classification methods employ relatively small study areas. This work therefore drew on a 2,609 km2, regional-scale study in northeastern West Virginia, USA, to investigates a number of core aspects of HR land-cover supervised classification using machine learning. Issues explored include training sample selection, cross-validation parameter tuning, the choice of machine learning algorithm, training sample set size, and feature selection. A …


Crown-Level Mapping Of Tree Species And Health From Remote Sensing Of Rural And Urban Forests, Fang Fang Jan 2019

Crown-Level Mapping Of Tree Species And Health From Remote Sensing Of Rural And Urban Forests, Fang Fang

Graduate Theses, Dissertations, and Problem Reports (ETD)

Tree species composition and health are key attributes for rural and urban forest biodiversity, and ecosystem services preservation. Remote sensing has facilitated extraordinary advances in estimating and mapping tree species composition and health. Yet previous sensors and algorithms were largely unable to resolve individual tree crowns and discriminate tree species or health classes at this essential spatial scale due to the low image spectral and spatial resolution. However, current available very high spatial resolution (VHR) remote sensing data can begin to resolve individual tree crowns and measure their spectral and structural qualities with unprecedented precision. Moreover, various machine learning algorithms …


Simultaneous Regional Detection Of Land-Use Changes And Elevated Ghg Levels: The Case Of Spring Precipitation In Tropical South America, Armineh Barkhordarian, Hans Von Storch, Ali Behrangi, Paul C. Loikith, Carlos R. Mechoso, Judah Detzer Jun 2018

Simultaneous Regional Detection Of Land-Use Changes And Elevated Ghg Levels: The Case Of Spring Precipitation In Tropical South America, Armineh Barkhordarian, Hans Von Storch, Ali Behrangi, Paul C. Loikith, Carlos R. Mechoso, Judah Detzer

Geography Faculty Publications and Presentations

A decline in dry season precipitation over tropical South America has a large impact on ecosystem health of the region. Results here indicate that the magnitude of negative trends in dry season precipitation in the past decades exceeds the estimated range of trends due to natural variability of the climate system defined in both the preindustrial climate and during the 850–1850 millennium. The observed drying is associated with an increase in vapor pressure deficit. The univariate detection analysis shows that greenhouse gas (GHG) forcing has a systematic influence in negative 30-year trends of precipitation ending in 1998 and later on. …


Drone Photography Vs. Light Detection And Ranging (Lidar) Data - Which Source Is Best Utilized In 3-Dimensional Modeling Applications?, Austin Valentine Jun 2018

Drone Photography Vs. Light Detection And Ranging (Lidar) Data - Which Source Is Best Utilized In 3-Dimensional Modeling Applications?, Austin Valentine

Student Scholarship & Creative Works

Drone Photography vs. Light Detection and Ranging (LiDAR) Data — Which Source is Best Utilized in 3-Dimensional Modeling Applications? is an evaluation essay comparing the analysis and modeling of both drone photography and LiDAR data. This paper gives a brief introduction into my choice of utilization between these two techniques, both of which were applied to 3-dimensional modeling of the Kincaid Mounds Archaeological site in southern Illinois. Thus, illustrating some of the advantages and disadvantages associated with both methods.


African Savanna Vegetation Model, Christoffer Axelsson Jun 2018

African Savanna Vegetation Model, Christoffer Axelsson

Graduate Student Datasets and Models

The project aimed at creating a model that can simulate the effect of environmental factors on trees and grasses in an African savanna landscape. It enables simulating the growth of woody and herbaceous vegetation in an African savanna landscape, where the user can define the environmental conditions. Input to the model includes:

  • Monthly precipitation
  • Fire regime
  • Grazing pressure
  • Soil type
  • Slope
  • Attributes of the woody species, such as maximum crown size and sensitivity to light conditions, drought, and fire.


Creating Web Maps Of Forest Restoration Plots At Iracambi Atlantic Rainforest Research Center, Minas Gerais, Brazil, Daniel Lassila May 2018

Creating Web Maps Of Forest Restoration Plots At Iracambi Atlantic Rainforest Research Center, Minas Gerais, Brazil, Daniel Lassila

Sustainability and Social Justice

The purpose of this report is to provide a detailed account, discussion, and analysis of my internship at Iracambi Atlantic Rainforest Research Center in Minas Gerais, Brazil during the summer of 2017, where I worked under the direction of GIS Supervisor Mr. Cliff Jones. The central focus of my work dealt with consolidating existing GIS data on the organization’s rainforest restoration effort into a single normalized database - based on the Atlantic Forest Restoration Pact, creating a structure for future forest restoration volunteers including enabling offline field collection using Collector for ArcGIS, then creating an ArcGIS Online web map based …


Dixie Tornadoes : A Spatial Analysis Of Tornado Risk In The U.S. South., Joshua L. Sherretz May 2018

Dixie Tornadoes : A Spatial Analysis Of Tornado Risk In The U.S. South., Joshua L. Sherretz

Electronic Theses and Dissertations

Throughout the years tornados were a feared and respected phenomenon. This phenomenon was traditionally associated with the high plains of the United States for very good reason. More tornados occur in the American high plains than anywhere else in the world, hence the term: Tornado Alley. However, the American Deep South was and remains prone to many tornados too. So much so that parts of the Deep South were and still are referred to as Dixie Alley. The major focus of this study was how the two areas compared as far as risk is concerned.

This study used both geographic …


U.S. Fish And Wildlife Service Summer Fellowship: Gis Study Of Threatened And Endangered Species In Colorado, Jeanie Lai May 2018

U.S. Fish And Wildlife Service Summer Fellowship: Gis Study Of Threatened And Endangered Species In Colorado, Jeanie Lai

Sustainability and Social Justice

This report provides a detailed account of my fellowship experience with the U.S. Fish and Wildlife Service (USFWS) Region 6 Office in Lakewood, CO during the summer of 2017 made possible by the Student Conservation Association (SCA) sponsored by Directorate Fellows Program. The internship was completed in the Region 6’s Branch of Decision Support in Ecological Services under the direction of Spatial Ecologist John Guinotte. I was a GIS Technician tasked with work responsibilities involving listed threatened and endangered species relevant to the region. Those work responsibilities included refining spatial Area of Influence (AOI) ranges, updating databases, and creating a …


Impact Of Drought On Land Cover Changes In Diné Bikéyah – A Study Through Remote Sensing, Anjanette A.J. Hawk Jan 2018

Impact Of Drought On Land Cover Changes In Diné Bikéyah – A Study Through Remote Sensing, Anjanette A.J. Hawk

Geography ETDs

This study identifies land cover changes associated with a ten-year drought period and discusses the importance of vegetation change in Diné Bikéyah, a semi-arid land located in a remote part of the southwestern United States (US). This study concludes that drought produced slight changes in vegetation within a 540 km2 study area in the Tselani-Cottonwood Chapter (TCC) in Diné Bikéyah. The data for this study consist of three Landsat images for the years 1998, 2002, and 2009. The methods used to analyze these Landsat images included image pre-processing, calculation of normalized difference vegetation index (NDVI) images, and supervised (maximum …


Modeling Pre-Settlement Wetlands In Northern Minnesota, Johnathon T. Salfer Jan 2018

Modeling Pre-Settlement Wetlands In Northern Minnesota, Johnathon T. Salfer

All Graduate Theses, Dissertations, and Other Capstone Projects

Modern land use has dramatically altered the native landscape across much of Minnesota and the United States. “Manifest Destiny” has ingrained the idea in American society that wetlands and related lands of “low value” need to be tamed and made profitable. In many places, wetlands have been drained and removed so that agriculture can take over. In recent years, people have begun to see the unintended consequences of this method, and importance is now being given to natural wetlands through various government projects and programs. Using National Wetlands Inventory (NWI) data, Drainage Index (DI) values calculated from Soil Survey Geographic …


Regional Climate Model Evaluation System Powered By Apache Open Climate Workbench V1.3.0: An Enabling Tool For Facilitating Regional Climate Studies, Huikyo Lee, Alexander Goodman, Lewis Mcgibbney, Duane E. Waliser, Jinwon Kim, Paul C. Loikith, Peter B. Gibson, Elias C. Massoud Jan 2018

Regional Climate Model Evaluation System Powered By Apache Open Climate Workbench V1.3.0: An Enabling Tool For Facilitating Regional Climate Studies, Huikyo Lee, Alexander Goodman, Lewis Mcgibbney, Duane E. Waliser, Jinwon Kim, Paul C. Loikith, Peter B. Gibson, Elias C. Massoud

Geography Faculty Publications and Presentations

The Regional Climate Model Evaluation System (RCMES) is an enabling tool of the National Aeronautics and Space Administration to support the United States National Climate Assessment. As a comprehensive system for evaluating climate models on regional and continental scales using observational datasets from a variety of sources, RCMES is designed to yield information on the performance of climate models and guide their improvement. Here, we present a user-oriented document describing the latest version of RCMES, its development process, and future plans for improvements. The main objective of RCMES is to facilitate the climate model evaluation process at regional scales. RCMES …


Geomorphic Consequences Of Hydroelectricity And Transportation Development Near Celilo Falls, Lower Mid-Columbia River, Washington, Noah I. Oliver Jan 2018

Geomorphic Consequences Of Hydroelectricity And Transportation Development Near Celilo Falls, Lower Mid-Columbia River, Washington, Noah I. Oliver

All Master's Theses

Along the Columbia River, hundreds of miles of transportation infrastructure and over sixty hydroelectric dams have been constructed. This altered a rich cultural landscape with evidence of 10,000 years of continuous occupation. Researchers have attempted to understand the impacts of anthropogenic factors on the Columbia River, focusing on the riverine environment. However, the effect of transportation and hydroelectricity developments to eolian landforms on the floodplains and adjoining slopes have not been studied. Focusing on 2,800 acres near Celilo Falls, this study 1) establishes a baseline condition of eolian landforms from 1805 to 1900; 2) conducts an air photo increment analysis …


Assessing Historical Planform Channel Change In An Altered Watershed With Quantification Of Error And Uncertainty Present In A Gis/Aerial Photography-Based Analysis; Case Study: Minnesota River, Minnesota, Usa., Devon Libby Jan 2018

Assessing Historical Planform Channel Change In An Altered Watershed With Quantification Of Error And Uncertainty Present In A Gis/Aerial Photography-Based Analysis; Case Study: Minnesota River, Minnesota, Usa., Devon Libby

All Graduate Theses, Dissertations, and Other Capstone Projects

Little is known about the historic planform channel change of the Minnesota River of south-central Minnesota, USA. This is despite research that demonstrates anthropogenic activities have altered the Minnesota River Basin's hydrology, land use, and climate. In addition, the threat of invasive carp infestation requires an understanding of Minnesota River planform change to assess mitigation strategies. This thesis focuses on the lower Minnesota River (LMR) by measuring planform channel change (lateral channel migration, width, and sinuosity) from 1937 to 2013. Analysis is conducted by utilizing remote/GIS analysis of historic aerial photographs. A secondary focus addresses and quantifies the inherent/introduced error/uncertainly …


Spatial Modelling And Wildlife Health Surveillance: A Case Study Of White Nose Syndrome In Ontario, Lauren Yee Jan 2018

Spatial Modelling And Wildlife Health Surveillance: A Case Study Of White Nose Syndrome In Ontario, Lauren Yee

Theses and Dissertations (Comprehensive)

Wildlife data is often limited by survey effort, small sample sizes, and spatial biases associated with collection and missing data. These factors can create unique challenges from a surveillance perspective when trying to extract spatial patterns of habitat suitability and disease distributions for conservation and management purposes. This thesis examined data quality from a wildlife health database in the context of spatial analysis of wildlife disease. Spatial analysis of the data to predict habitat suitability of bats and white nose syndrome afflicted bats was examined by using the MaxEnt modelling method. Methods to reduce spatial bias were examined and specific …


Factors Limiting Sand Dune Restoration In Northwest Beach, Point Pelee National Park, Canada, Pritichhanda Nayak, Pritichhanda Mohanty Nayak Jan 2018

Factors Limiting Sand Dune Restoration In Northwest Beach, Point Pelee National Park, Canada, Pritichhanda Nayak, Pritichhanda Mohanty Nayak

Theses and Dissertations (Comprehensive)

Known as home to rare species of flora and fauna, and their critical habitats, Northwest beach of Point Pelee National Park has undergone significant ecological and infrastructural changes in the past decades. A number of important management challenges have emerged, including conservation of endangered Five-lined Skink (Plestiodon fasciatus) which inhabit the extensive dune system within the park. This research investigates key factors for sand dune ecosystem restoration in Northwest beach of Point Pelee with particular attention to the conservation of Skink habitat. Random stratified sampling method was used to collect sand and vegetation samples from the disturbed and …


Utilizing A Consumer-Grade Camera System To Quantify Surface Reflectance, Joseph J. Lehnert Aug 2017

Utilizing A Consumer-Grade Camera System To Quantify Surface Reflectance, Joseph J. Lehnert

Department of Geography: Dissertations, Theses, and Student Research

Consumer-grade camera systems are often employed in aerial remote sensing to provide insight into patterns and processes of interest to science and industry, a trend that has largely been encouraged by the rapid growth of the small unmanned aircraft system (sUAS) industry. However, little research exists on the ability of these systems to accurately measure surface reflectance in specific wavebands, a crucial consideration for many remote sensing applications. This research was conducted on the premise that with proper equipment and calibration techniques consumer-grade cameras would be capable of accurately measuring surface reflectance in user-defined wavebands of interest. A stereo-pair, Fujifilm …


Using The 500 M Modis Land Cover Product To Derive A Consistent Continental Scale 30 M Landsat Land Cover Classification, Hankui Zhang, David P. Roy Aug 2017

Using The 500 M Modis Land Cover Product To Derive A Consistent Continental Scale 30 M Landsat Land Cover Classification, Hankui Zhang, David P. Roy

GSCE Faculty Publications

Classification is a fundamental process in remote sensing used to relate pixel values to land cover classes present on the surface. Over large areas land cover classification is challenging particularly due to the cost and difficulty of collecting representative training data that enable classifiers to be consistent and locally reliable. A novel methodology to classify large volume Landsat data using high quality training data derived from the 500 m MODIS land cover product is demonstrated and used to generate a 30 m land cover classification for all of North America between 20°N and 50°N. Publically available 30 m global monthly …


Textural Analysis Of Historical Aerial Photography To Determine Change In Coastal Marsh Extent: Site Of The Present-Day Grand Bay National Estuarine Research Reserve (Gbnerr), Mississippi, 1955-2014, Heather Michelle Nicholson Aug 2017

Textural Analysis Of Historical Aerial Photography To Determine Change In Coastal Marsh Extent: Site Of The Present-Day Grand Bay National Estuarine Research Reserve (Gbnerr), Mississippi, 1955-2014, Heather Michelle Nicholson

Master's Theses

Coastal marshlands are among the world’s most highly productive ecosystems but they have diminished greatly in the past several decades owing to sea-level rise and direct anthropogenic influences. An effective means of quantifying loss or gain in marsh area is through the use of aerial image data, which offers synoptic views of the landscape at decadal-scale sampling frequencies. However, a potential problem with older panchromatic, or black-and-white, imagery is the absence of multispectral information that might be used otherwise in remote identification of vegetation types. Nevertheless, the analysis of horizontal variability in image brightness values, or image texture, can be …


Evaluating Relevance And Reliability Of Twitter Data For Risk Communication, Xiaohui Liu Aug 2017

Evaluating Relevance And Reliability Of Twitter Data For Risk Communication, Xiaohui Liu

Dissertations

While Twitter has been touted to provide up-to-date information about hazard events, the relevance and reliability of tweets is yet to be tested. This research examined the relevance and reliability of risk information extracted from Twitter during the 2013 Colorado floods using five different approaches. The first approach examined the relationship between tweet volume and precipitation amount. The second approach explored the relationship between geo-tagged tweets and degree of damage. In the third approach, the spatiotemporal distribution of tweets was compared with flood extent. In the fourth approach, risk information from tweets were compared with survey responses obtained in a …


The Bicycle, The Unsuitable Substitute:A Feasibility Study Based In Fayetteville, Ar Using A Bicycle As A Year-Round Replacement For An Automobile, Jamey Voorhees Aug 2017

The Bicycle, The Unsuitable Substitute:A Feasibility Study Based In Fayetteville, Ar Using A Bicycle As A Year-Round Replacement For An Automobile, Jamey Voorhees

Graduate Theses and Dissertations

Can a bicycle can be used in place of an automobile for everyday transportation and commuting needs? Fayetteville, Arkansas is a bicycle friendly and they plan continue to expand the current trail system improve other components in the future. Alternative transportation forms like the bicycle are important but only if bikes are integrated into traffic which needs to be done in some way that all involved understand their place in the system. By actively participating in this system I have attempted to show that a bicycle is just not feasible as a form of daily transportation in a city like …


Examination Of The Potential Of Terrestrial Laser Scanning And Structure-From-Motion Photogrammetry For Rapid Nondestructive Field Measurement Of Grass Biomass, Sam D. Cooper, David P. Roy, Crystal B. Schaaf, Ian Paynter May 2017

Examination Of The Potential Of Terrestrial Laser Scanning And Structure-From-Motion Photogrammetry For Rapid Nondestructive Field Measurement Of Grass Biomass, Sam D. Cooper, David P. Roy, Crystal B. Schaaf, Ian Paynter

GSCE Faculty Publications

Above ground biomass (AGB) is a parameter commonly used for assessment of grassland systems. Destructive AGB measurements, although accurate, are time consuming and are not easily undertaken on a repeat basis or over large areas. Structure-from-Motion (SfM) photogrammetry and Terrestrial Laser Scanning (TLS) are two technologies that have the potential to yield precise 3D structural measurements of vegetation quite rapidly. Recent advances have led to the successful application of TLS and SfM in woody biomass estimation, but application in natural grassland systems remains largely untested. The potential of these techniques for AGB estimation is examined considering 11 grass plots with …


Geoscientists-In-The-Park Summer Internship Mapping Shoreline Change With The National Park Service, Michael P. Endicott May 2017

Geoscientists-In-The-Park Summer Internship Mapping Shoreline Change With The National Park Service, Michael P. Endicott

Sustainability and Social Justice

This project paper details the activities carried out as a Geologist/GIS Specialist in the Gateway National Recreation Area as a part of the Geoscientists-In-The-Park internship program. The focus of this position was on supporting the geomorphological monitoring efforts of the National Park Service. This was accomplished through a combination of field data collection, GIS analysis, report writing, and project work. By the end of the internship, substantial progress was made to the formation of Gateway’s Annual 1D and 2D report for 2015-2016, field data were collected for the 2016 summer season, changes in geomorphology were explored and summarized for the …