Social and Behavioral Sciences | Open Access Articles

Historic Resources Study Of Pullman National Monument, Illinois, Laura Walikainen Rouleau, Sarah Fayen Scarlett, Steven A. Walton, Timothy Scarlett

Michigan Tech Publications

This Historic Resource Study is a Baseline Research Report for Pullman National Monument. This HRS summarizes the historical writings about Pullman, provides context for the significant themes identified in its founding document, collates collections of primary documents and historical resources that are important sources of information on those themes, and recommends questions that will require additional study. These cultural resources include primary historical materials in archives and oral history collections, as well as architectural, archaeological, museum collections, or landscape resources. While this report includes new historical narrative based in original archival research, other sections present synthetic reviews of existing publications. …

Go to article

Tell Me Your Business: Assessing The Teaching Needs Of Undergraduate Business Faculty, Nora Allred, Lauren Movlai, Jennifer Sams

Michigan Tech Publications

Academic libraries often fill a variety of roles in response to the needs of teaching and research faculty while simultaneously navigating a rapidly changing information landscape. As higher education embraces students’ desire for active learning, experiential learning, and service learning, the support needs of teaching faculty also change. In the spirit of providing high-quality, relevant support, librarians at Michigan Technological University partnered with Ithaka S+R to explore the evolving teaching needs of Business Faculty. Nine faculty members from Michigan Tech's School of Business and Economics were interviewed, and interviews were coded and analyzed. Major themes identified included: students' information and …

Go to article

Gain Without Pain: An International Case For A Tradable Green Certificates System To Foster Renewable Energy Development In Ukraine, Tetiana Kurbatova, Roman Sidortsov, Iryna Sotnyk, Oleksandr Telizhenko, Tetiana Skibina, Roubik Hynek

Michigan Tech Publications

This paper elaborates on the theoretical and methodological fundamentals of a tradable green certificates system to foster renewable energy development in Ukraine. It proposes a management mechanism premised on the classical market model of tradable green certificates aiming at increasing the share of electricity from renewable energy sources in the country’s energy mix. Organizational stages of the mechanism formation at the national level and a methodological approach to assess green electricity generation cost are developed. The modeling has shown that the annual increase in the cap for green electricity consumption by 1% will raise the electricity tariff by 3%, which …

Go to article

Regional Scale Dryland Vegetation Classification With An Integrated Lidar-Hyperspectral Approach, Hamid Dashti, Andrew Poley, Nancy Glenn, Nayani Ilangakoon, Lucas Spaete, Dar Roberts, Et. Al.

Michigan Tech Publications

The sparse canopy cover and large contribution of bright background soil, along with the heterogeneous vegetation types in close proximity, are common challenges for mapping dryland vegetation with remote sensing. Consequently, the results of a single classification algorithm or one type of sensor to characterize dryland vegetation typically show low accuracy and lack robustness. In our study, we improved classification accuracy in a semi-arid ecosystem based on the use of vegetation optical (hyperspectral) and structural (lidar) information combined with the environmental characteristics of the landscape. To accomplish this goal, we used both spectral angle mapper (SAM) and multiple endmember spectral …

Go to article

Understanding Cumulative Hazards In A Rustbelt City: Integrating Gis, Archaeology, And Spatial History, Daniel Trepal, Don Lafreniere

Michigan Tech Publications

We combine the Historical Spatial Data Infrastructure (HSDI) concept developed within spatial history with elements of archaeological predictive modeling to demonstrate a novel GIS-based landscape model for identifying the persistence of historically-generated industrial hazards in postindustrial cities. This historical big data approach draws on over a century of both historical and modern spatial big data to project the presence of specific persistent historical hazards across a city. This research improves on previous attempts to understand the origins and persistence of historical pollution hazards, and our final model augments traditional archaeological approaches to site prospection and analysis. This study also demonstrates …

Go to article

Evaluating Visible Derivative Spectroscopy By Varimax-Rotated, Principal Component Analysis Of Aerial Hyperspectral Images From The Western Basin Of Lake Erie, Joseph D. Ortiz, Dulci M. Avouris, Stephan J. Schiller, Jeffrey C. Luvall, John D. Lekki, Roger P. Tokars, Robert C. Anderson, Robert Shuchman, Michael Sayers, Richard Becker

Michigan Tech Publications

The Kent State University (KSU) spectral decomposition method provides information about the spectral signals present in multispectral and hyperspectral images. Pre-processing steps that enhance signal to noise ratio (SNR) by 7.37–19.04 times, enables extraction of the environmental signals captured by the National Aeronautics and Space Administration (NASA) Glenn Research Center's, second generation, Hyperspectral imager (HSI2) into multiple, independent components. We have accomplished this by pre-processing of Level 1 HSI2 data to remove stripes from the scene, followed by a combination of spectral and spatial smoothing to further increase the SNR and remove non-Lambertian features, such as waves. On average, …

Go to article

Real Time Habs Mapping Using Nasa Glenn Hyperspectral Imager, Reid W. Sawtell, Robert Anderson, Roger Tokars, John D. Lekki, Robert Shuchman, Karl Bosse, Michael Sayers

Michigan Tech Publications

The hyperspectral imaging system (HSI) developed by the NASA Glenn Research Center was used from 2015 to 2017 to collect high spatial resolution data over Lake Erie and the Ohio River. Paired with a vicarious correction approach implemented by the Michigan Tech Research Institute, radiance data collected by the HSI system can be converted to high quality reflectance data which can be used to generate near-real time (within 24 h) products for the monitoring of harmful algal blooms using existing algorithms. The vicarious correction method relies on imaging a spectrally constant target to normalize HSI data for atmospheric and instrument …

Go to article

Spatial And Temporal Variability Of Inherent And Apparent Optical Properties In Western Lake Erie: Implications For Water Quality Remote Sensing, Michael Sayers, Karl Bosse, Robert Shuchman, Steven A. Ruberg, Gary L. Fahnenstiel, George Leshkevich, Et Al.

Michigan Tech Publications

Lake Erie has experienced dramatic changes in water quality over the past several decades requiring extensive monitoring to assess effectiveness of adaptive management strategies. Remote sensing offers a unique potential to provide synoptic monitoring at daily time scales complementing in-situ sampling activities occurring in Lake Erie. Bio-optical remote sensing algorithms require knowledge about the inherent optical properties (IOPs) of the water for parameterization to produce robust water quality products. This study reports new IOP and apparent optical property (AOP) datasets for western Lake Erie that encapsulate the May–October period for 2015 and 2016 at weekly sampling intervals. Previously reported IOP …

Go to article

Satellite Monitoring Of Harmful Algal Blooms In The Western Basin Of Lake Erie: A 20-Year Time-Series, Michael Sayers, Amanda Grimm, Robert Shuchman, Karl Bosse, Gary L. Fahnenstiel, Steven A. Ruberg, George A. Leshkevich

Michigan Tech Publications

Blooms of harmful cyanobacteria (cyanoHABs) have occurred on an annual basis in western Lake Erie for more than a decade. Previously, we developed and validated an algorithm to map the extent of the submerged and surface scum components of cyanoHABs using MODIS ocean-color satellite data. The algorithm maps submerged cyanoHABs by identifying high chlorophyll concentrations (>18 mg/m3) combined with water temperature >20 °C, while cyanoHABs surface scums are mapped using near-infrared reflectance values. Here, we adapted this algorithm for the SeaWiFS sensor to map the annual areal extents of cyanoHABs in the Western Basin of Lake Erie for the …

Go to article

Determining Remote Sensing Spatial Resolution Requirements For The Monitoring Of Harmful Algal Blooms In The Great Lakes, John Lekki, Eric Deutsch, Michael Sayers, Karl Bosse, Robert Anderson, Roger Tokars, Reid W. Sawtell

Michigan Tech Publications

Harmful algal blooms (HABs) have become a major health and environmental concern in the Great Lakes. In 2014, severe HABs prompted the State of Ohio to request NASA Glenn Research Center (GRC) to assist with monitoring algal blooms in Lake Erie. The most notable species of HAB is Microcystis aeruginosa, a hepatotoxin producing cyanobacteria that is responsible for liver complications for humans and other fauna that come in contact with these blooms. NASA GRC conducts semiweekly flights in order to gather up-to-date imagery regarding the blooms' spatial extents and concentrations. Airborne hyperspectral imagery is collected using two hyperspectral imagers, HSI-2 …

Go to article

Cyber Threats, Harsh Environment And The European High North (Ehn) In A Human Security And Multi-Level Regulatory Global Dimension: Which Framework Applicable To Critical Infrastructures Under “Exceptionally Critical Infrastructure Conditions” (Ecic)?, Sandra Cassotta, Roman Sidortsov, Christer Pursiainen, Michael Evan Goodsite

Michigan Tech Publications

Business opportunities in the European High North (EHN) are accompanied by the danger of cyber-threats, especially to critical infrastructures which in these Arctic regions become “extra critical” because of the harsh environmental climatic conditions and remoteness of distances. Critical infrastructures (CI) in the EHN are crucial for numerous sectors, such as the energy sector which is completely depended on digitalization, internet and computers’ commands. Such a new condition of extra criticality should also include human security concerns to avoid human disasters. An effective legal framework under “exceptionally critically infrastructure conditions” (ECIC) for this technology is important not only in terms …

Go to article

Spatial-Temporal Variability Of In Situ Cyanobacteria Vertical Structure In Western Lake Erie: Implications For Remote Sensing Observations, Karl Bosse, Michael Sayers, Robert Shuchman, Gary L. Fahnenstiel, Steven A. Ruberg, David L. Fanslow, Dack G. Stuart, Thomas H. Johengen, Ashley M. Burtner

Michigan Tech Publications

Remote sensing has provided expanded temporal and spatial range to the study of harmful algal blooms (cyanoHABs) in western Lake Erie, allowing for a greater understanding of bloom dynamics than is possible through in situ sampling. However, satellites are limited in their ability to specifically target cyanobacteria and can only observe the water within the first optical depth. This limits the ability of remote sensing to make conclusions about full water column cyanoHAB biomass if cyanobacteria are vertically stratified. FluoroProbe data were collected at nine stations across western Lake Erie in 2015 and 2016 and analyzed to characterize spatio-temporal variability …

Go to article

Social and Behavioral Sciences Commons^™

Full-Text Articles in Social and Behavioral Sciences

Historic Resources Study Of Pullman National Monument, Illinois, Laura Walikainen Rouleau, Sarah Fayen Scarlett, Steven A. Walton, Timothy Scarlett

Michigan Tech Publications

Tell Me Your Business: Assessing The Teaching Needs Of Undergraduate Business Faculty, Nora Allred, Lauren Movlai, Jennifer Sams

Michigan Tech Publications

Gain Without Pain: An International Case For A Tradable Green Certificates System To Foster Renewable Energy Development In Ukraine, Tetiana Kurbatova, Roman Sidortsov, Iryna Sotnyk, Oleksandr Telizhenko, Tetiana Skibina, Roubik Hynek

Michigan Tech Publications

Regional Scale Dryland Vegetation Classification With An Integrated Lidar-Hyperspectral Approach, Hamid Dashti, Andrew Poley, Nancy Glenn, Nayani Ilangakoon, Lucas Spaete, Dar Roberts, Et. Al.

Michigan Tech Publications

Understanding Cumulative Hazards In A Rustbelt City: Integrating Gis, Archaeology, And Spatial History, Daniel Trepal, Don Lafreniere

Michigan Tech Publications

Michigan Tech Publications

Real Time Habs Mapping Using Nasa Glenn Hyperspectral Imager, Reid W. Sawtell, Robert Anderson, Roger Tokars, John D. Lekki, Robert Shuchman, Karl Bosse, Michael Sayers

Michigan Tech Publications

Spatial And Temporal Variability Of Inherent And Apparent Optical Properties In Western Lake Erie: Implications For Water Quality Remote Sensing, Michael Sayers, Karl Bosse, Robert Shuchman, Steven A. Ruberg, Gary L. Fahnenstiel, George Leshkevich, Et Al.

Michigan Tech Publications

Satellite Monitoring Of Harmful Algal Blooms In The Western Basin Of Lake Erie: A 20-Year Time-Series, Michael Sayers, Amanda Grimm, Robert Shuchman, Karl Bosse, Gary L. Fahnenstiel, Steven A. Ruberg, George A. Leshkevich

Michigan Tech Publications

Determining Remote Sensing Spatial Resolution Requirements For The Monitoring Of Harmful Algal Blooms In The Great Lakes, John Lekki, Eric Deutsch, Michael Sayers, Karl Bosse, Robert Anderson, Roger Tokars, Reid W. Sawtell

Michigan Tech Publications

Michigan Tech Publications

Spatial-Temporal Variability Of In Situ Cyanobacteria Vertical Structure In Western Lake Erie: Implications For Remote Sensing Observations, Karl Bosse, Michael Sayers, Robert Shuchman, Gary L. Fahnenstiel, Steven A. Ruberg, David L. Fanslow, Dack G. Stuart, Thomas H. Johengen, Ashley M. Burtner

Michigan Tech Publications