Geography Commons^™

"Authors On The Hill " Presents Prof. Giovanni Spani, Giovanni Spani

Authors on the Hill

Professor Giovanni Spani of the World Languages, Literatures, and Cultures Department at the College of the Holy Cross will present his work on Dante's Florence, a multimedia educational app for Android and iOS.

Using Geospatial Data To Predict The Locations Of Groundwater Discharge To Salmon-Bearing Streams, Alaska, Mary Gerlach

USF Tampa Graduate Theses and Dissertations

Identification and protection of groundwater resources are considerations of increasing interest as climate shifts but can be challenging to accomplish in remote areas. To that end, a series of GIS techniques and weight of evidence approach were applied to determine the feasibility of remotely identifying likely areas of ground discharge. Through the confluence of topographic analyses and a novel geologic dataset, these techniques were found to consistently identify areas characterized by either shallow subsurface or aquifer-fed groundwater discharge or evidence of ephemeral surficial water features. Two distinct GIS techniques to build spatial proxies of the effects of topography and geology …

A Sustainability Machine: The Incineration-Based Waste Regime In Tampa, Fl, Usa, Kevin P. Martyn

USF Tampa Graduate Theses and Dissertations

Recent history has seen some significant changes in terms of how society thinks about and deals with its wastes. Increasingly troubling indications of the immediacy of ecological concerns, now often described by the Anthropocene concept, have been provocative of a reinvigorated fervor for a sustainability transition. As a result, sustainability has become well-established as both an urgent pursuit and an eminently pliable buzzword. This research describes and explains one key aspect of society’s pursuit of some version of sustainability: our relationship with waste.

The site of this research is Tampa, Florida, a sunbelt city with a unique waste management system. …

Odu Researchers' Future Flood Maps Inform Virginia's Coastal Resilience Master Planning Process, News @ Odu

News Items

No abstract provided.

The Use Of Green Pond Conglomerate As Building Stone In Morris County, New Jersey, Gregory A. Pope

Department of Earth and Environmental Studies Faculty Scholarship and Creative Works

Green Pond Conglomerate (GPC) is a maroon colored quartzite with white quartz pebbles, a classic “puddingstone”. GPC derives from a NW-SW-trending sliver of Paleozoic sediments, the “Green Pond Outlier”, surrounded by older metamorphic and igneous rocks of Morris and Passaic Counties. Buildings, retaining walls, field fences, and monuments incorporate the durable and attractive stone, in a distinct geographic area of Morris County. Several instances of structures completely constructed or faced with GPC occur in and around Morristown, limited to affluent houses and one prominent church. In these cases, GPC stones were dressed and faced, a labor-intensive effort. Elsewhere in the …

Using Spatial Analysis And Machine Learning Techniques To Develop A Comprehensive Highway-Rail Grade Crossing Consolidation Model, Samira Soleimani

LSU Doctoral Dissertations

The safety of highway-railroad grade crossings (HRGC) is still an issue in the United States of America (USA). The grade crossing is where a railroad crosses a road at the same level without any over or underpass. To improve the safety of crossings, the crossings’ condition should be explored from several aspects such as engineering design (speed limit, warning signs, etc.), road condition (number of lanes, surface markings, etc.), rail design (the type of track, ballast, etc.), temporal variables (weather, visibility, time of day, lightning, etc.), social variables (population, race, etc.), and last but not least, spatial variables (the type …

Spatial And Temporal Dynamics Of Human–Wildlife Conflicts In The Kenya Greater Tsavo Ecosystem, Joseph M. Mukeka, Joseph O. Ogutu, Erustus Kanga, Eivin Røskaft

Human–Wildlife Interactions

Biodiversity conservation in developing countries is faced with many and mounting challenges, including increasing human–wildlife conflicts (HWCs). In Africa and other developing countries, increasing HWCs, particularly those adjacent to protected areas, can adversely affect local stakeholder perceptions and support for conservation. We analyzed HWC reports for multiple wildlife species compiled >23 years (1995–2017) from the Greater Tsavo Ecosystem (GTE) in Kenya to determine HWC trends. The GTE is the largest protected area in Kenya, covering 22,681 km². Overall, 39,022 HWC incidents were reported in 6 GTE regions (i.e., Taveta, Mutomo, Kibwezi, Rombo, Galana, Bachuma). The 5 wildlife species …

Advancing Best Practices For Aversion Conditioning (Humane Hazing) To Mitigate Human–Coyote Conflicts In Urban Areas, Lesley Sampson, Lauren Van Patter

Human–Wildlife Interactions

Coyotes (Canis latrans) are now recognized as a permanent feature in urban environments across much of North America. Behavioral aversion conditioning, or humane hazing, is increasingly advocated as an effective and compassionate alternative to wildlife management strategies, such as trap and removal. Given a growing public interest in humane hazing, there is a need to synthesize the science regarding methods, outcomes, efficacy, and other relevant considerations to better manage human–coyote conflicts in urban areas. This paper was prepared as an outcome of a workshop held in July 2019 by Coyote Watch Canada (CWC) to synthesize the literature on …

College Of Natural Sciences Newsletter, October 2020, College Of Natural Sciences

College of Natural Sciences Newsletters and Reports

Volume 1. Issue 9

Content:

Dean’s Update P.1
Awards & Recognition P.2
Student Club Spotlight P.3
Open PRAIRIE | Research Overview P.4
Interest in Science | Updates P.5
Where’s Wil? P.6 Art
Competition Announcement P.7

Environmentally Clean Access To Antarctic Subglacial Aquatic Environments, Alexander B. Michaud, Trista (Vick-Majors, Amanda M. Achberger, Mark L. Skidmore, Brent C. Christner, Martyn Tranter, John C. Priscu

Faculty Publications

Subglacial Antarctic aquatic environments are important targets for scientific exploration due to the unique ecosystems they support and their sediments containing palaeoenvironmental records. Directly accessing these environments while preventing forward contamination and demonstrating that it has not been introduced is logistically challenging. The Whillans Ice Stream Subglacial Access Research Drilling (WISSARD) project designed, tested and implemented a microbiologically and chemically clean method of hot-water drilling that was subsequently used to access subglacial aquatic environments. We report microbiological and biogeochemical data collected from the drilling system and underlying water columns during sub-ice explorations beneath the McMurdo and Ross ice shelves and …

Quantifying Surface Severity Of The 2014 And 2015 Fires In The Great Slave Lake Area Of Canada, Nancy H. F. French, Jeremy Graham, Ellen Whitman, Laura Bourgeau-Chavez

Michigan Tech Publications, Part 1

The focus of this paper was the development of surface organic layer severity maps for the 2014 and 2015 fires in the Great Slave Lake area of the Northwest Territories and Alberta, Canada, using multiple linear regression models generated from pairing field data with Landsat 8 data. Field severity data were collected at 90 sites across the region, together with other site metrics, in order to develop a mapping approach for surface severity, an important metric for assessing carbon loss from fire. The approach utilised a combination of remote sensing indices to build a predictive model of severity that was …

Landscape Fragmentation In Coffee Agroecological Subzones In Central Kenya: A Multiscale Remote Sensing Approach, Gladys Mosomtai, John Odindi, Elfatih M. Abdel-Rahman, Régis Babin, Pinard Fabrice, Onisimo Mutanga, Henri E.Z. Tonnang, Guillaume David, Tobias Landmann

All Peer-Reviewed Publications

Smallholder agroecological subzones (AEsZs) produce an array of crops occupying large areas throughout Africa but remain largely unmapped. We explored multisource satellite datasets to produce a seamless land-use and land-cover (LULC) and fragmentation dataset for upper midland (UM1 to UM4) AEsZs in central Kenya. Specifically, the utility of PlanetScope, Sentinel 2, and Landsat 8 images for mapping coffee-based landscape were tested using a random forest (RF) classifier. Vegetation indices, texture variables, and wavelength bands from all satellite data were used as inputs in generating four RF models. A LULC baseline map was produced that was further analyzed using FRAGSTAT to …

Phenology Of Short Vegetation Cycles In A Kenyan Rangeland From Planetscope And Sentinel-2, Yan Cheng, Anton Vrieling, Francesco Fava, Michele Meroni, Michael Marshall, Stella Gachoki

All Peer-Reviewed Publications

The short revisit times afforded by recently-deployed optical satellite sensors that acquire 3–30 m resolution imagery provide new opportunities to study seasonal vegetation dynamics. Previous studies demonstrated a successful retrieval of phenology with Sentinel-2 for relatively stable annual growing seasons. In semi-arid East Africa however, vegetation responds rapidly to a concentration of rainfall over short periods and consequently is subject to strong interannual variability. Obtaining a sufficient density of cloud-free acquisitions to accurately describe these short vegetation cycles is therefore challenging. The objective of this study is to evaluate if data from two satellite constellations, i.e., PlanetScope (3 m resolution) …

Rainfall Interception And Redistribution By A Common North American Understory And Pasture Forb, Eupatorium Capillifolium (Lam. Dogfennel), D. Alex Gordon, Miriam Coenders-Gerrits, Brent A. Sellers, S. M. Moein Sadeghi, John T. Van Stan Ii

Earth, Environment & Sustainability: Faculty Publications

In vegetated landscapes, rain must pass through plant canopies and litter to enter soils. As a result, some rainwater is returned to the atmosphere (i.e., interception, I) and the remainder is partitioned into a canopy (and gap) drip flux (i.e., throughfall) or drained down the stem (i.e., stemflow). Current theoretical and numerical modeling frameworks for this process are almost exclusively based on data from woody overstory plants. However, herbaceous plants often populate the understory and are the primary cover for important ecosystems (e.g., grasslands and croplands). This study investigates how overstory throughfall (P_T,o) is partitioned into …

Spatiotemporal Variations Of City-Level Carbon Emissions In China During 2000–2017 Using Nighttime Light Data, Yu Sun, Sheng Zheng, Yuzhe Wu, Uwe Schlink, Ramesh P. Singh

Biology, Chemistry, and Environmental Sciences Faculty Articles and Research

China is one of the largest carbon emitting countries in the world. Numerous strategies have been considered by the Chinese government to mitigate carbon emissions in recent years. Accurate and timely estimation of spatiotemporal variations of city-level carbon emissions is of vital importance for planning of low-carbon strategies. For an assessment of the spatiotemporal variations of city-level carbon emissions in China during the periods 2000–2017, we used nighttime light data as a proxy from two sources: Defense Meteorological Satellite Program’s Operational Linescan System (DMSP-OLS) data and the Suomi National Polar-orbiting Partnership satellite’s Visible Infrared Imaging Radiometer Suite (NPP-VIIRS). The results …

Agate Fossil Beds National Monument, Paleontological Resources Management Plan (Public Version), Scott Kottkamp, Vincent L. Santucci, Justin S. Tweet, Jessica De Smet, Ellen Stark

United States National Park Service: Publications

Executive Summary

Since Agate Springs Ranch was founded by James H. Cook in 1887, exquisite examples of transitional Miocene mammalian fauna have been found along this stretch of the Niobrara River valley. Collectively these paleontological discoveries, along with the existing archeological and historical Native American collection, were the basis for establishing Agate Fossil Beds National Monument (AGFO) as a unit of the National Park System (NPS). The fossil remains from the Harrison and Anderson Ranch formations span a short, but important, time period within the Miocene Epoch. AGFO has provided science with an intimate look into North American mammalian evolution …

College Of Natural Sciences Newsletter, September 2020, College Of Natural Sciences

College of Natural Sciences Newsletters and Reports

Issue 1. Volume 8

Contents:

Dean’s Update P.1
Awards & Recognition P.2
Interest in Science | Competitions P.3
Open PRAIRIE | ODFS Recap P.4
ODFS Recap | Research Spotlight P.5
Spring 2020 Dean’s List P.6-7

Odu Researchers Lead Team That Secured Department Of Defense Offshore Wind Grant, News @ Odu

News Items

No abstract provided.

Long Term Air Quality Analysis In Reference To Thermal Power Plants Using Satellite Data In Singrauli Region, India, H. K. Romana, Ramesh P. Singh, D. P. Shukla

Biology, Chemistry, and Environmental Sciences Faculty Articles and Research

The exponentially growing population and related anthropogenic activities have led to modifications in local environment. The change in local environment, evolving pattern of land use, concentrations of greenhouse gases and aerosols alter the energy balance of our climate system. This alteration in climate is leading to pre-mature deaths worldwide. This study analyses the air quality of Singrauli region, Madhya Pradesh, India for the past 15 years. Otherwise known as Urjanchal “the energy capital” of India has been declared as critically polluted by CPCB. The study provides an updated list of thermal power plants in the study area and their emission …

Snow-Albedo Feedback In Northern Alaska: How Vegetation Influences Snowmelt, Lucas C. Reckhaus

Theses and Dissertations

This paper investigates how the snow-albedo feedback mechanism of the arctic is changing in response to rising climate temperatures. Specifically, the interplay of vegetation and snowmelt, and how these two variables can be correlated. This has the potential to refine climate modelling of the spring transition season. Research was conducted at the ecoregion scale in northern Alaska from 2000 to 2020. Each ecoregion is defined by distinct topographic and ecological conditions, allowing for meaningful contrast between the patterns of spring albedo transition across surface conditions and vegetation types. The five most northerly ecoregions of Alaska are chosen as they encompass …

Potential Of Resampled Multispectral Data For Detecting Desmodium-Brachiaria Intercropped With Maize In A 'Push-Pull' System, B. T. Mudereri, E. M. Abdel-Rahman, T. Dube, T. Landmann, S. Niassy, H. E.Z. Tonnang, Z. R. Khan

All Peer-Reviewed Publications

Poor crop yields remain one of the main causes of chronic food insecurity in Africa. This is largely caused by insect pests, weeds, unfavourable climatic conditions and degraded soils. Weed and pest control, based on the climate-adapted g'push-pull' system, has become an important target for sustainable intensification of food production adopted by many small-holder farmers. However, essential baseline information using remotely sensed data is missing, specifically for the g'push-pull' companion crops. In this study, we investigated the spectral uniqueness of two of the most commonly used g'companion' crops (i.e. greenleaf Desmodium (i Desmodium intortum/i) and Brachiaria (i Brachiaria/i cv Mulato) …

A Modeling Framework For Urban Growth Prediction Using Remote Sensing And Video Prediction Technologies: A Time-Dependent Convolutional Encoder-Decoder Architecture, Ahmed Hassan Jaad

Civil and Environmental Engineering Theses and Dissertations

Studying the growth pattern of cities/urban areas has received considerable attention during the past few decades. The goal is to identify directions and locations of potential growth, assess infrastructure and public service requirements, and ensure the integration of the new developments with the existing city structure. This dissertation presents a novel model for urban growth prediction using a novel machine learning model. The model treats successive historical satellite images of the urban area under consideration as a video for which future frames are predicted. A time-dependent convolutional encoder-decoder architecture is adopted. The model considers as an input a satellite image …

Geology, Soils And Climate Of The Margaret River Wine Region, Peter J. Tille, Angela Stuart-Street, Peter S. Gardiner

All other publications

This report is an extract from the broader description and analysis of the Geology, soils and climate of Western Australia's wine regions. It expands on the brief descriptions in the second edition of 'Viticulture' (Coombe & Dry 2004) concerning the soils and landscapes of Western Australia’s main wine growing regions. We have tailored this report extract to the specific needs of the Margaret River wine region. It contains local soil names and soil-landscape zones and systems maps.

The wine industry recognises the importance of giving customers an understanding of the vines’ environment and how that may influence wine character …

Application Of Artificial Intelligence And Geographic Information System For Developing Automated Walkability Score, Md Mehedi Hasan

Dissertations

Walking is considered as one of the major modes of active transportation, which contributes to the livability of cities. It is highly important to ensure walk friendly sidewalks to promote human physical activities along roads. Over the last two decades, different walk scores were estimated in respect to walkability measures by applying different methods and approaches. However, in the era of big data and machine learning revolution, there is still a gap to measure the composite walkability score in an automated way by applying and quantifying the activityfriendliness of walkable streets. In this study, a street-level automated walkability score was …

Land Suitability Analysis For Windfarm Development In Texas, Robert Laszlo Milecz

Electronic Theses and Dissertations

Due to the negative impact on the environment of conventional electric power generation methods, especially coal and oil-fired generating plants, wind power as an alternative for sustainable energy has received more attention in recent years. The purpose of this project was to apply Geographic Information System (GIS), integrated with Multi Criteria Decision Making (MCDM), for identifying suitable areas for wind turbine applications in Texas. Factors taken into consideration included socioeconomic criteria such as distance to highways, proximity to airports and urban areas, localized environmental criteria such as terrain slope and distance to rivers, affected waterbodies, and wildlife management areas. Also …

Predicting And Mapping Plethodontid Salamander Abundance Using Lidar-Derived Terrain And Vegetation Characteristics, Marco Antonio Contreras, Wesley A. Staats, Steve J. Price

Forestry and Natural Resources Faculty Publications

Aim of the study: Use LiDAR-derived vegetation and terrain characteristics to develop abundance and occupancy predictions for two terrestrial salamander species, Plethodon glutinosus and P. kentucki, and map abundance to identify vegetation and terrain characteristics affecting their distribution.

Area of study: The 1,550-ha Clemons Fork watershed, part of the University of Kentucky’s Robinson Forest in southeastern Kentucky, USA.

Materials and methods: We quantified the abundance of salamanders using 45 field transects, which were visited three times, placed across varying soil moisture and canopy cover conditions. We created several LiDAR-derived vegetation and terrain layers and used these …

College Of Natural Sciences Newsletter, August 2020, College Of Natural Sciences

College of Natural Sciences Newsletters and Reports

Volume 1. Issue 7

Contents:

Dean’s Update P.1
Awards & Recognition P.2
New Faculty | Student Clubs P.3
Research Spotlight | Open PRAIRIE P.4
ODFS | Interest in Science P.3

Analysis Of Interdunal Wetlands And Ecosystem Dynamics Using Uas And Obia In Ludington State Park, Michigan, Claire Gilbert

Masters Theses

The Great Lakes sand dunes are the world's largest freshwater dune complex. There is a functional relationship between coastal wetlands and freshwater sand dune, referred to as interdunal wetlands. Interdunal wetland systems are highly dynamic and change dramatically seasonally and annually. Using geographic information systems (GIS) and unoccupied aerial systems (UAS), this thesis project is focused on understanding the spatial distribution of sparse and dense vegetation, and abiotic influence such as distance to coast, slope, and aspect influence interdunal wetland stability within a Great Lakes shoreline dune system. Object-based image analysis (OBIA) classification results extracted meaningful vegetation densities of growth …

When Doing More Requires Knowing More: Explaining The Intention To Seek Procedural Information About Recycling, Sonny Rosenthal, Yan Wah Leung

Research Collection College of Integrative Studies

This study examines the relationship between the intention to recycle more and the intention to seek procedural information, in this case, information about how to recycle. In contrast to prior research that used information seeking as a predictor of behavior change, this study considers behavioral intention as a predictor of intention to seek information. Regression analysis of survey data from Singapore residents confirms that prediction, explaining 27% of the variance in intention to seek procedural information. Moderation analysis suggests the effect of intention to recycle more is stronger among individuals with low recycling self-efficacy. An alternative analysis suggests the greater …

Deep Learning For Remote Sensing Image Processing, Yan Lu

Computational Modeling & Simulation Engineering Theses & Dissertations

Remote sensing images have many applications such as ground object detection, environmental change monitoring, urban growth monitoring and natural disaster damage assessment. As of 2019, there were roughly 700 satellites listing “earth observation” as their primary application. Both spatial and temporal resolutions of satellite images have improved consistently in recent years and provided opportunities in resolving fine details on the Earth's surface. In the past decade, deep learning techniques have revolutionized many applications in the field of computer vision but have not fully been explored in remote sensing image processing. In this dissertation, several state-of-the-art deep learning models have been …