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Thematic Mapping Of Apidae Holdings Within The University Of Arkansas Arthropod Museum, Baylie Lenora Day 2024 University of Arkansas, Fayetteville

Thematic Mapping Of Apidae Holdings Within The University Of Arkansas Arthropod Museum, Baylie Lenora Day

Crop, Soil and Environmental Sciences Undergraduate Honors Theses

Museum biological collections store species data that can be utilized in research on biodiversity, environmental change, invasive species, public health, and disease. The University of Arkansas Arthropod Museum, which began in 1905, houses over 750,000 specimens and has not yet been digitized. Making data publicly accessible via the internet makes the data available to the entire scientific community. The goal of this project was to create a digital resource to allow greater access to the University of Arkansas Arthropod Museum holdings. To do so, data from Bombus (bumble bee) and Xylocopa (carpenter bee) specimens were databased in Excel and displayed …


Characteristic Of Dual Polarization Sentinel-1 For Estimation Of Seawater Intrusion On Kalianda Coast, South Lampung: A Preliminary Study, Choirunnisa Salsabila, Mochamad Firman Ghazali, Ananda Dermawan, Lauditta Zahra, Ni Made Mega Melliana, Mila Aulia 2024 Geodesy and Geomatics Engineering, University of Lampung

Characteristic Of Dual Polarization Sentinel-1 For Estimation Of Seawater Intrusion On Kalianda Coast, South Lampung: A Preliminary Study, Choirunnisa Salsabila, Mochamad Firman Ghazali, Ananda Dermawan, Lauditta Zahra, Ni Made Mega Melliana, Mila Aulia

Jurnal Geografi Lingkungan Tropik (Journal of Geography of Tropical Environments)

Seawater intrusion can increase soil salinity, which occurs due to flooding, evaporation, and land cover changes in coastal areas. This research aims to map and observe the characteristics of seawater intrusion in Way Urang, Kalianda, South Lampung, using Dual-polarization of Sentinel-1 SAR imagery with VV, VH, VV+VH, and (VV+VH)/2 polarization. There were 28 samples used in this research which were divided into two types, GCP (ground control point) and ICP (independent check point). GCP samples are used to create a seawater intrusion estimation model using the regression method, while ICP samples are used to test the validation model using the …


Analyzing Land Suitability For Industrial Areas In Pekanbaru City Using The Smce Method And Geographical Information Systems, Siti Aisyah, Muhammad Dimyati 2024 Department of Geography, Universitas Indonesia, Depok City, Indonesia

Analyzing Land Suitability For Industrial Areas In Pekanbaru City Using The Smce Method And Geographical Information Systems, Siti Aisyah, Muhammad Dimyati

Jurnal Geografi Lingkungan Tropik (Journal of Geography of Tropical Environments)

Domestic industrial growth continues to increase in line with population growth and the development of new areas, both in the city center and on the outskirts of the city. The location of Riau Province, which is close to Malaysia and Singapore, makes it an attractive investment destination, supported by Riau's abundant natural resources. Pekanbaru City, as the capital of Riau Province, consisting of 12 regencies/cities, serves as the center of government and economy. Among the 27 integrated industrial estates, there are two locations in Riau Province determined by the central government in the 2020-2024 RPJMN, namely Tanjung Buton in Siak …


Estimating Effects Of Tourism Using Multiple Data Sources: The Miranda Tool As Part Of A Spatial Decision Support System For Sustainable Destination Development, Tobias Heldt 2024 Centre for Tourism and Leisure Research- Dalarna University

Estimating Effects Of Tourism Using Multiple Data Sources: The Miranda Tool As Part Of A Spatial Decision Support System For Sustainable Destination Development, Tobias Heldt

GSTC Academic Symposium - In conjunction with the GSTC Global Conference Sweden April 23, 2024

Planning for sustainable mobility and destination development in rural areas is increasingly important when tourism grows in numbers. A key to address the challenge of transformation and adaptation of local communities to mitigate adverse effects in seasonal peak hours like traffic congestion, power failure, waste management and sewage flooding, is to properly estimate the number of visitors to a destination.

The problem of estimating tourism numbers is a known challenge since, for example, guest nights statistics are in-complete and non-commercial lodging (sharing solutions) are increasing. Recently, the promising utilization of mobile phone data has emerged as a means to estimate …


High And Dry - Contextualizing Domestic Root Cellar Drains In Southern Ontario, Anatolijs Venovcevs 2024 UiT: The Arctic University of Norway

High And Dry - Contextualizing Domestic Root Cellar Drains In Southern Ontario, Anatolijs Venovcevs

Northeast Historical Archaeology

The subterranean root cellar is the quintessential feature of rural nineteenth-century archaeological sites in Ontario and much archaeological, historical, and architectural research on rural farmsteads has focused on defining and understanding these structures. However, this work has neglected an important component of this feature – the root cellar drain. This paper contextualizes these features within their broader nineteenth-century ideals of drainage and goes on to tackle the topic with the use of statistical analysis on the associated geographical, social, and economic attributes. The discussion presents opportunities that are present from the vast quantities of historical sites that have been excavated …


Spatial Behavior Of Hospital Visits By Hand, Foot, And Mouth Disease Patients In Nanchang, China, Zeliu Zheng 2024 Louisiana State University

Spatial Behavior Of Hospital Visits By Hand, Foot, And Mouth Disease Patients In Nanchang, China, Zeliu Zheng

LSU Doctoral Dissertations

Hand foot mouth disease (HFMD) is one of the widespread transmissible diseases that target preschool children, especially in urban regions in East Asia. Understanding the travel patterns of the HFMD patients helps us understand how the spatial behaviors of patients vary across space and what are the underlying forces. It is essential for understanding the healthcare market and planning for resource allocation. Foremost, health behavior and outcome change significantly across geographic regions of various urbanicities (i.e., degrees of urbanization) due to the uneven distribution of healthcare resource. In addition, health studies in the U.S. often use hospital service areas (HSAs) …


Unearthing The Past: A Comprehensive Study Of Natural And Anthropogenic Changes At An Archaeological Site Through Hydrogeologic Connectivity Utilizing Gis, Mehlich Ii Phosphorus Extractant, And Ph, Dana L. F. Herren 2024 Jacksonville State University

Unearthing The Past: A Comprehensive Study Of Natural And Anthropogenic Changes At An Archaeological Site Through Hydrogeologic Connectivity Utilizing Gis, Mehlich Ii Phosphorus Extractant, And Ph, Dana L. F. Herren

Theses

This thesis aims to thoroughly analyze the Mehlich II Phosphorus Extractant and pH levels at the Bains Gap Village Site in Anniston, AL., while examining the impact of various environmental factors and human activities on them. Phosphorus is often used in archaeology as an indicator of human activity. Soil core samples were collected to analyze anomalies in phosphorus levels.

To establish any relationships, phosphorus and pH levels from soil cores were correlated with findings from past excavation units and features. The potential effects of hydrogeologic connectivity on soil phosphorus and pH levels were investigated. Geospatial technologies were used to manage …


Use Of Unoccupied Aerial Vehicle (Drones) Based Remote Sensing To Model Platform Topography And Identify Human-Made Earthen Barriers In Salt Marshes, Joshua J. Ward 2024 University of Massachusetts Amherst

Use Of Unoccupied Aerial Vehicle (Drones) Based Remote Sensing To Model Platform Topography And Identify Human-Made Earthen Barriers In Salt Marshes, Joshua J. Ward

Masters Theses

Elevation is a foundational driver of salt marsh morphology. Elevation governs inundation and hydrological patterns, vegetation distribution, and soil health. Anthropogenic impacts at grand scales (e.g., rising sea levels) and local scales (e.g., infrastructure) have altered the elevation of the salt marsh surface, changing the topography and morphology of these ecosystems. This study establishes and assesses means to document and analyze these impacts using Unoccupied Aerial Vehicle (UAV) based remote sensing to model platform topography. This thesis’s first and primary study presents and compares methods of producing high-resolution digital terrain models (DTMs) with UAV-based Digital Aerial Photogrammetry (DAP) and Light …


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 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, …


Inventory Of Western United States Glaciers- 2020, Shrinidhi Ambinakudige, Bernard Abubakari 2024 Mississippi State University

Inventory Of Western United States Glaciers- 2020, Shrinidhi Ambinakudige, Bernard Abubakari

College of Arts and Sciences Publications and Scholarship

The dataset employed for delineating glacier boundaries in the Western United States comprises a compilation of original Sentinel-2 images obtained from the European Space Agency's Copernicus website. These images were instrumental in generating the glacier inventory. Additionally, the dataset includes a Python and R script specifically crafted for processing and classifying Sentinel images. The outcome of this process is represented in an ESRI shapefile, which contains an inventory of glaciers extracted from Sentinel images.


Monitoring Of Caucasus Heritage Sites Facing Cultural Genocide, Peyton Edelbrock 2024 Purdue University, West Lafayette

Monitoring Of Caucasus Heritage Sites Facing Cultural Genocide, Peyton Edelbrock

The Journal of Purdue Undergraduate Research

No abstract provided.


Microsoft Access To Sqlite Database Migration For Existing Forest Management Software: Methods And Considerations, Drue Kathryn Lindstrom 2024 Portland State University

Microsoft Access To Sqlite Database Migration For Existing Forest Management Software: Methods And Considerations, Drue Kathryn Lindstrom

Masters in GIS Practicum Reports

Bioregional Inventory Originated Simulation Under Management (BioSum) is software from the US Forest Service’s Forest Inventory and Analysis (FIA) program. It is a complex analysis framework that models and evaluates forest management treatments across multi-decade timeframes. Originally written to work with Microsoft Access databases, BioSum is migrating to the use of SQLite as its database engine. The final module of BioSum, Treatment Optimizer, is the first one to be converted so the changes can be implemented incrementally. This practicum report outlines a workflow for converting the database engine of an existing program from Microsoft Access to SQLite with the example …


Opportunities And Challenges In Monitoring Cultivated Land Red Line In Big Data Era, Jinwei DONG, Yifeng CUI, Yuanyuan DI, Xuan GAO, Xi CHEN, Linsheng YANG, Yumei CAI, Jia NING, Jiyuan LIU 2023 Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China University of Chinese Academy of Sciences, Beijing 100049, China

Opportunities And Challenges In Monitoring Cultivated Land Red Line In Big Data Era, Jinwei Dong, Yifeng Cui, Yuanyuan Di, Xuan Gao, Xi Chen, Linsheng Yang, Yumei Cai, Jia Ning, Jiyuan Liu

Bulletin of Chinese Academy of Sciences (Chinese Version)

The demographic reality of a large population and limited land resources in China necessitates the implementation of the world’s most stringent cultivated land protection system. Effective, timely, and accurate monitoring of the status of cultivated land protection red line is essential to ensuring cultivated land protection and food security. The development of cutting-edge technologies such as remote sensing big data, cloud computing, and artificial intelligence has provided new opportunities for cultivated land control and monitoring. This article systematically elaborates on the current research status and challenges in the field of cultivated land protection redline control and monitoring, including the establishment …


Quantifying Current Soil Brine Contamination Within The Smackover Oil Field In Arkansas Using Multispectral Digital Imagery, Victoria Williams 2023 Stephen F. Austin State University

Quantifying Current Soil Brine Contamination Within The Smackover Oil Field In Arkansas Using Multispectral Digital Imagery, Victoria Williams

Electronic Theses and Dissertations

A remote sensing study was performed to quantify current soil brine contamination across the historic Smackover Oil Field in south-central Arkansas, United States. The oil field was established in 1922 and was not subject to the future waste regulations created by the Arkansas Oil and Gas Commission. Brine is a waste product of oil manufacturing which contains water with high salt levels. The storage and transport of brine in the oil field created landscape scarring across the study area.

Landsat 9 multispectral digital imagery was utilized to create supervised classification maps based on earthen pits and creek scarring across the …


Socioeconomic Geographies And Municipal Decision Making Of New York's Climate Smart Communities Program, Stephen Corbisiero 2023 Binghamton University

Socioeconomic Geographies And Municipal Decision Making Of New York's Climate Smart Communities Program, Stephen Corbisiero

Digital and Data Studies Student Scholarship

Nearly all of New York’s residents live in a municipality designated as a Climate Smart Community, but few are familiar with one of the state’s major legislative accomplishments. The initiative allows municipalities to earn points toward a climate smart certification by implementing sustainable technologies in their communities, which in turn makes them eligible for increased grant funding from New York State. As climate change begins to have a greater impact on human and natural life, investing in green infrastructure has never been more important. New York’s Climate Smart Communities program is widespread, but adoption rates vary greatly throughout the state …


Development Of A Historic Digital Elevation Model (Hdem) From Archival Aerial Imagery Over The Black Mountain Alluvial Fan, Canada, Emma Menio 2023 University of Arkansas-Fayetteville

Development Of A Historic Digital Elevation Model (Hdem) From Archival Aerial Imagery Over The Black Mountain Alluvial Fan, Canada, Emma Menio

Graduate Theses and Dissertations

In a rapidly changing Arctic, reconstructing landscapes pre-warming is essential to understanding impacts due to climate-inducted geomorphic change. High-latitude elevation datasets extend temporally back to the 2000s, while region-wide warming became measurable in the 1980s. Historic aerial imagery archives provide datasets of high-resolution imagery from the mid- to late- 1900s with stereo-capability that can be harnessed to create historic digital elevation models, or hDEMs. A major issue with reconstructing a surface from the past is finding a way to constrain it in space, given a lack of ground control from that era, especially at high latitudes. The main purpose of …


Airbnb Valuation: A Machine Learning Approach, Katherine Wyatt 2023 University of Arkansas-Fayetteville

Airbnb Valuation: A Machine Learning Approach, Katherine Wyatt

Graduate Theses and Dissertations

This thesis uses a geospatially-enhanced, machine learning approach to investigate variations in rental success on the peer-to-peer property sharing website Airbnb.com. Geographic factors, listing attributes and amenities, customer response metrics, and host attributes are included in decision tree modeling to predict the short-term probability of receiving a review. The most important variables in increasing model accuracy are assessed and variations in the importance of these variables investigated using Shapley values.


Age, Size, And Composition Of Selected Old-Growth Shortleaf Pine Stands In The Upper Buffalo River, Arkansas, Willa Avery Thomason 2023 University of Arkansas-Fayetteville

Age, Size, And Composition Of Selected Old-Growth Shortleaf Pine Stands In The Upper Buffalo River, Arkansas, Willa Avery Thomason

Graduate Theses and Dissertations

Shortleaf pine (Pinus echinata) approaches the westernmost limits of its range in the Arkansas Ozarks. Despite heavy logging of shortleaf pine throughout its range during the 19th and 20th centuries, the species was not easily accessible for harvest and transportation in the most rugged areas of the Boston Mountains and, as a result, there are a few extant stands of old-growth shortleaf pine in the region. The shortleaf pine stands in the interior Boston Mountains are unusual in that they exist primarily above bluff lines at topographic breaks in the hardwood canopy and are not disturbed by fire as frequently …


Sc-Fuse: A Feature Fusion Approach For Unpaved Road Detection From Remotely Sensed Images, Aniruddh Saxena 2023 University of Nebraska-Lincoln

Sc-Fuse: A Feature Fusion Approach For Unpaved Road Detection From Remotely Sensed Images, Aniruddh Saxena

Department of Computer Science and Engineering: Dissertations, Theses, and Student Research

Road network extraction from remote sensing imagery is crucial for numerous applications, ranging from autonomous navigation to urban and rural planning. A particularly challenging aspect is the detection of unpaved roads, often underrepresented in research and data. These roads display variability in texture, width, shape, and surroundings, making their detection quite complex. This thesis addresses these challenges by creating a specialized dataset and introducing the SC-Fuse model.

Our custom dataset comprises high resolution remote sensing imagery which primarily targets unpaved roads of the American Midwest. To capture the diverse seasonal variation and their impact, the dataset includes images from different …


Big Data Applications And Challenges In Giscience (Case Studies: Natural Disaster And Public Health Crisis Management), Amir Masoud Forati 2023 University of Wisconsin-Milwaukee

Big Data Applications And Challenges In Giscience (Case Studies: Natural Disaster And Public Health Crisis Management), Amir Masoud Forati

Theses and Dissertations

This dissertation examines the application and significance of user-generated big data in Geographic Information Science (GIScience), with a focus on managing natural disasters and public health crises. It explores the role of social media data in understanding human-environment interactions and in informing disaster management and public health strategies. A scalable computational framework will be developed to model extensive unstructured geotagged data from social media, facilitating systematic spatiotemporal data analysis.The research investigates how individuals and communities respond to high-impact events like natural disasters and public health emergencies, employing both qualitative and quantitative methods. In particular, it assesses the impact of socio-economic-demographic …


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