Automated Identification And Mapping Of Interesting Mineral Spectra In Crism Images, 2024 University of Massachusetts Amherst
Automated Identification And Mapping Of Interesting Mineral Spectra In Crism Images, Arun M. Saranathan
Doctoral Dissertations
The Compact Reconnaissance Imaging Spectrometer for Mars (CRISM) has proven to be an invaluable tool for the mineralogical analysis of the Martian surface. It has been crucial in identifying and mapping the spatial extents of various minerals. Primarily, the identification and mapping of these mineral spectral-shapes have been performed manually. Given the size of the CRISM image dataset, manual analysis of the full dataset would be arduous/infeasible. This dissertation attempts to address this issue by describing an (machine learning based) automated processing pipeline for CRISM data that can be used to identify and map the unique mineral signatures present in …
Migration Patterns Of Young Adults In Nevada, 2024 University of Nevada, Las Vegas
Migration Patterns Of Young Adults In Nevada, Annie Vong, Caitlin J. Saladino, William E. Brown Jr.
Demography
This fact sheet examines data on young adult migration patterns for two commuting zones in Nevada: Las Vegas, AZ & NV and Reno, NV. The original report published by Opportunity Insights features data from the United States Census Bureau and examines young adult migration patterns for commuting zones across the United States.
Learning To Be Reflexive In Qualitative Research: Improving Training For Doctoral Students In Business Schools, 2024 University of Newcastle - Australia
Learning To Be Reflexive In Qualitative Research: Improving Training For Doctoral Students In Business Schools, Eun Su Lee
The Qualitative Report
Doctoral education in business schools is focused on a functional approach to research training. While this approach is necessary, it rarely encompasses reflexivity in qualitative research, despite its importance. This paper provides the groundwork for educators in business schools to reconsider the conventional approach to teaching qualitative methods. It draws on my personal and professional experience as a key resource to shape its examination of doctoral education in conducting qualitative research. The paper offers points of reflection on the struggle students may face in conducting rigorous qualitative research without appropriately understanding the influence of self with previous experience, preconceived ideas, …
Homelessness Assessment Of The Mountain West, 2023, 2024 University of Nevada, Las Vegas
Homelessness Assessment Of The Mountain West, 2023, Mohit Pande, Miguel Soriano Ralston, Riley Ruff, Zachary Billot, Annie Vong, Caitlin J. Saladino, William E. Brown Jr.
Demography
This fact sheet examines 2023 homelessness assessment data from the U.S. Department of Housing and Urban Development for five Mountain West states: Arizona, Colorado, Nevada, New Mexico, and Utah.
Ground Electric Field, Atmospheric Weather And Electric Grid Variations In Northeast Greece Influenced By The March 2012 Solar Activity And The Moderate To Intense Geomagnetic Storms, 2024 Democritus University of Thrace (DUTH)
Ground Electric Field, Atmospheric Weather And Electric Grid Variations In Northeast Greece Influenced By The March 2012 Solar Activity And The Moderate To Intense Geomagnetic Storms, Georgios Anagnostopoulos, Anastasios Karkanis, Athanasios Kampatagis, Panagiotis Marhavilas, Sofia-Anna Menesidou, Dimitrios Efthymiadis, Stefanos Keskinis, Dimitar Ouzounov, Nick Hatzigeorgiu, Michael Danakis
Mathematics, Physics, and Computer Science Faculty Articles and Research
In a recent paper, we extended a previous study on the solar solar influence to the generation of the March 2012 heatwave in the northeastern USA. In the present study we check the possible relationship of solar activity with the early March 2012 bad weather in northeast Thrace, Greece. To this end, we examined data from various remote sensing instrumentation monitoring the Sun (SDO satellite), Interplanetary space (ACE satellite), the Earth’s magnetosphere (Earth-based measurements, NOAA-19 satellite), the top of the clouds (Terra and Aqua satellites), and the near ground atmosphere. Our comparative data analysis suggests that: (i) the winter-like weather …
Southern Nevada Regional Industrial Study, 2024 University of Nevada, Las Vegas
Southern Nevada Regional Industrial Study, Brookings Mountain West, Center For Business And Economic Research, Transportation Research Center
Policy Briefs and Reports
Recognizing the ongoing need to diversify the Southern Nevada economy, in 2023 GOED commissioned Brookings Mountain West, the UNLV Center for Business and Economic Research, and the UNLV Transportation Research Center to evaluate how Southern Nevada can leverage its geography and connectivity to neighboring states and metros at the megapolitan level to pursue industrial opportunities in the face of shifting global supply chains, diminishing developable land, the need for efficient management of the regional water supply, and the availability of unprecedented federal resources to support clean energy development, manufacturing, electrification of transportation systems, and supply-chain resiliency.
The study builds on …
Drivers Of Tree Canopy Loss In A Mid-Sized Growing City: Case Study In Portland, Or (Usa), 2024 Portland State University
Drivers Of Tree Canopy Loss In A Mid-Sized Growing City: Case Study In Portland, Or (Usa), Yunjae Ock, Vivek Shandas, Fernanda Ribeiro, Noah Young
Geography Faculty Publications and Presentations
The benefits of the urban tree and tree canopy (UTC) are increasingly crucial in addressing urban sustainability. Yet, increasingly evident from earlier research is the distributional inequities of UTC and active efforts to expand tree plantings. Less is known about the dynamics of UTC loss over time and location. This study aims to understand the dynamics of UTC change, especially canopy loss, and to investigate the drivers of the loss. This study draws on a high–resolution dataset of an urban canopy in Portland, Oregon, USA, assessing changes in UTC from 2014 to 2020. By integrating demographic, biophysical, and policy data …
Relocating Lubra Village And Visualizing Himalayan Flood Damages With Remote Sensing, 2024 Macalester College
Relocating Lubra Village And Visualizing Himalayan Flood Damages With Remote Sensing, Ronan Wallace, Yungdrung Tsewang Gurung, Ryan Kastner
Journal of Critical Global Issues
As weather patterns change worldwide, isolated communities impacted by climate change go unnoticed and we need community-driven solutions. In Himalayan Mustang, Nepal, indigenous Lubra Village faces threats of increasing flash flooding. After every flood, residual muddy sediment hardens across the riverbed like concrete, causing the riverbed elevation to rise. As elevation increases, sediment encroaches on Lubra’s agricultural fields and homes, magnifying flood vulnerability. In the last monsoon season alone, the Lubra community witnessed floods swallowing several agricultural fields and damaging two homes. One solution considers relocating the village to a new location entirely. However, relocation poses a challenging task, as …
A 20-Year Ecotone Study Of Pacific Northwest Mountain Forest Vulnerability To Changing Snow Conditions, 2024 University of Richmond
A 20-Year Ecotone Study Of Pacific Northwest Mountain Forest Vulnerability To Changing Snow Conditions, Todd R. Lookingbill, Jack Dupuy, Ellery Jacobs University Of Richmond, Matteo Gonzalez, Tihomir S. Kostadinov
Geography and the Environment Faculty Publications
Background: Global climate change is expected to significantly alter growing conditions along mountain gradients. Landscape ecological patterns are likely to shift significantly as species attempt to adapt to these changes. We evaluated the extent to which spatial (elevation and canopy cover) and temporal (decadal trend and El Niño–Southern Oscillation/Pacific Decadal Oscillation) factors impact seasonal snowmelt and forest community dynamics in the Western Hemlock–True Fir ecotone region of the Oregon Western Cascades, USA. (2) Methods: Tsuga heterophylla and Abies amabilis seedling locations were mapped three times over 20 years (2002–2022) on five sample transects strategically placed to cross the ecotone. Additionally, …
Family Tourism: Understanding The Concept And Improving The Parents - Children Relationship, 2024 University of Kota
Family Tourism: Understanding The Concept And Improving The Parents - Children Relationship, Anukrati Sharma Anu, Shruti Arora Dr.
Journal of Sustainability and Resilience
Family tourism is driven by the increasing importance placed on promoting family togetherness, keeping family bonds alive and creating family memories. It not only builds life long memories, but also gives break away from the usual routine, opening the minds to new cultures, foods and experiences and even good for health. According to the researchers, positive relationships between parents and children are important for children’s overall development and builds trust. Various articles on family tourism from 2010 to 2023 were gathered from the Web of Sciences, UGC Journals, Scopus indexed journals, books, websites and was reviewed by the researchers.
Examining Crises Resilience In Tourism : A Systematic Review Of Literature, 2024 Masters student, Department of Tourism and Tour Operations, University of Eldoret, Eldoret Kenya
Examining Crises Resilience In Tourism : A Systematic Review Of Literature, Kanyamwa Lunanga Félix, George Ariya, Priscillah Omagwa
Journal of Sustainability and Resilience
This study is the systematic review of literature on the resilience of tourism businesses. Following the various crises and disasters that shook the World between 2000 and 2020, the interest of researchers in tourism resilience has increased significantly. Despite the interest felt by these scientists, the notion of resilience has remained fragmented in terms of its definition and dimensions. This review presents an overview of the literature on the resilience of tourism businesses from 2013 to June 2023. The study revealed that there is a lack of cohesion in the literature on resilience from the definition to its influencing factors. …
Toward Energy-Efficient Deep Neural Networks For Forest Fire Detection In An Image, 2024 University of Alaska Fairbanks
Toward Energy-Efficient Deep Neural Networks For Forest Fire Detection In An Image, Yali Wang, Chuulabat Purev, Hunter Barndt, Henry Toal, Jason Kim, Luke Underwood, Luis Avalo, Arghya Kusum Das
The Geographical Bulletin
Forest fires cause huge losses and are a serious problem facing many countries worldwide, including the USA, Canada, Brazil, Siberia, and Indonesia, to name a few. Automatic identification of forest fires in an image is thus an important field to research in order to minimize disasters while also helping in mitigation planning and designing rescue tactics. Artificial Intelligence technologies, especially deep neural networks, have emerged recently with promises to detect fires with better accuracy from an image. However, the massive energy consumption of deep neural networks thwarts their widespread adoption, especially when it comes to onsite detection of fire utilizing …
Gis-Based Spatial And Temporal Analyses Of Motor Vehicle Crashes In The Atlanta Metropolitan Region 2017-2021, 2024 University of West Georgia
Gis-Based Spatial And Temporal Analyses Of Motor Vehicle Crashes In The Atlanta Metropolitan Region 2017-2021, Heyward Stober, Jeong C. Seong
The Geographical Bulletin
Motor vehicle crash analysis is among the most insightful metrics for public safety officials, researchers, and drivers. In this article, geographical information systems (GIS) tools were used to study the spatial and temporal trends of traffic crashes and fatal crashes. The methodology involves collecting spatial crash data over time and using computer-based analysis to overlay the road data against various spatial and temporal parameters in the Atlanta metropolitan region. Results show major crash hotspots in the region, such as the cites of Marietta, Kennesaw, and College Park. Hotspots tend to form on interstate highways, while smaller state highways have fewer …
Recovery Of Microtopography Following Prairie Restoration: Implications For Biodiversity Monitoring, 2024 Montana State University
Recovery Of Microtopography Following Prairie Restoration: Implications For Biodiversity Monitoring, Karli Cich, Scott Powell
The Geographical Bulletin
Tallgrass prairies are often restored from agricultural fields where the natural microtopography has long since been removed. Therefore, our study investigates the degree to which restored prairies recover microtopography. Differences in microtopography were measured using precise elevation data collected from LiDAR to compare differences in microtopography between crop fields, fallow fields, newer restored prairies, and older restored prairies. We also compared plant biodiversity indices between newer and older restored prairies using nested plot vegetation sampling. Our first research question is how microtopography differs between the sites. Our results show that older restored prairies had the most microtopographic variation, followed by …
Modeling The Impact Of Ocean Temperature Increases On The Distribution Of Seagrasses Around The Korean Peninsula Using A Machine Learning Technique, 2024 Kyung Hee University
Modeling The Impact Of Ocean Temperature Increases On The Distribution Of Seagrasses Around The Korean Peninsula Using A Machine Learning Technique, Jina Jang, Seohyeon Kim, Jeong Seong
The Geographical Bulletin
Seagrasses are important resources which form a vital part of the ocean ecosystem. They are also considered blue carbon because of their capability of sequestrating carbon. Seagrass distribution can be affected by many factors including ocean temperature. It is highly likely that recent climate change may increase ocean temperature significantly in East Asia and consequently alter seagrass distribution patterns. This study aims at predicting the impact of ocean temperature increases on seagrass habitats around the Korean Peninsula. Using the Maximum Entropy (MaxEnt) Model, seagrass habitat distributions were modeled when sea temperature rises by 1°C, 2°C, 3°C, and 4°C. Results show …
Predicting Cloud Fraction With Instantaneous Direct And Diffuse Shortwave Solar Irradiance, 2024 Colorado State University
Predicting Cloud Fraction With Instantaneous Direct And Diffuse Shortwave Solar Irradiance, Jamison Lerma, Emily K. Blackaby, Maosi Chen, Sasha Madronich, Wei Gao
The Geographical Bulletin
The purpose of this study is to compare the different performances of three commonly used models (i.e., linear regression, random forest regression, and deep neural network (DNN)) to predict cloud fraction (CF) using ground-based shortwave solar radiation measurements and analyze the importance of the input features. The CF data are obtained from the Surface Radiation Budget (SURFRAD) and the Atmospheric Radiation Measurement (ARM) and the irradiance data from the USDA UV-B Monitoring and Research Program. The study finds that CF of opaque and total clouds can be best predicted using both Random Forest Regression and DNN with the validation R2 …
Prediction Of Traffic Congestion Using A Time-Series Model And Spatiotemporal Data: A Case Study Of The Atlanta Downtown Connector, 2024 Dongguk University
Prediction Of Traffic Congestion Using A Time-Series Model And Spatiotemporal Data: A Case Study Of The Atlanta Downtown Connector, Yunsik Kim
The Geographical Bulletin
Traffic congestion poses significant socio-economic challenges, and many urban commuters experience time and cost burdens due to traffic jams. Effectively managing and predicting traffic congestion is crucial for contemporary urban planning and operations. This study aims to predict congestion using time-series deep learning models, focusing on a chronically congested road section. The research area is the Atlanta Downtown Connector, a heavily trafficked route passing through the heart of the city of Atlanta. To address issues often associated with sensor and GPS-based data collection, traffic data was obtained from an open-source online map service, Google Maps. A multivariate time-lagged LSTM model …
A Remote Sensing Investigation Of The 2022 Invasion Of Eastern Ukraine On Agricultural Landcover, 2024 Auburn University
A Remote Sensing Investigation Of The 2022 Invasion Of Eastern Ukraine On Agricultural Landcover, Michael S. Agbozo, Luke J. Marzen, Chandana Mitra
The Geographical Bulletin
Ukraine-Russian political relations over the years have alternatively experienced periods of tranquility and turmoil with violent conflicts since 1917, including the events of the 2014 annexation of Crimea and the 2022 Russian invasion of the entirety of Ukraine. These conflicts remain developmental threats and their assessment requires multi-perspective analysis. Understanding the spatial dimensions of such conflicts and their consequences on physical and social spaces at varying scales could provide credible scientific impetuses on which targeted post-conflict remediations could be built. This preliminary study therefore takes advantage of the capabilities of satellite remote sensing, to provide quick and effective spatiotemporal analysis …
Open-Source Based Change Pattern Analysis Of Urban Green Spaces Using Landscape Metrics, 2024 The Public Authority for Applied Education and Training
Open-Source Based Change Pattern Analysis Of Urban Green Spaces Using Landscape Metrics, Mohammad Anwar Alattar
The Geographical Bulletin
A growing number of studies have been conducted on urban green spaces (UGSs), given their essential role in mitigating urbanization externalities. The current available methods for acquiring and analyzing UGSs data suffer from several limitations. For example, free satellite imagery exhibits pixel distortion and fails to account for fine-grained structure such as accurate geometry or size. Moreover, official UGSs datasets are typically updated periodically, not continuously. This work provides a Python-derived open-source based analysis for acquiring, modeling and analyzing UGSs change patterns using landscape metrics. To demonstrate the feasibility of the proposed approach, it is applied on the New York …
Evaluating The Use Of Unpiloted Aerial Systems To Detect And Monitor Beech Bark Disease In New England Forests, 2024 University of New Hampshire
Evaluating The Use Of Unpiloted Aerial Systems To Detect And Monitor Beech Bark Disease In New England Forests, Isabelle Lopez, Benjamin T. Fraser, Russell G. Congalton
The Geographical Bulletin
The American beech (Fagus grandifolia) plays a key role throughout eastern North American forests. However, beech bark disease (BBD) causes widespread mortality of beech trees. We investigated whether imagery collected using an unpiloted aerial system (UAS) could differentiate beech tree health. Reference data were collected from 140 beech trees in New Hampshire and were visually classified as having “no/trace damage,” “moderate damage,” or “heavy damage.” Multispectral imagery was collected from a UAS, and 44 image features were derived for each beech crown. We used machine learning to identify the importance of each feature in distinguishing between the three health classes …