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Multi-Criteria Evaluation Model For Classifying Marginal Cropland In Nebraska Using Historical Crop Yield And Biophysical Characteristics, Andrew Laws May 2022

Multi-Criteria Evaluation Model For Classifying Marginal Cropland In Nebraska Using Historical Crop Yield And Biophysical Characteristics, Andrew Laws

School of Natural Resources: Dissertations, Theses, and Student Research

Marginal cropland is suboptimal due to historically low and variable productivity and limiting biophysical characteristics. To support future agricultural management and policy decisions in Nebraska, U.S.A, it is important to understand where cropland is marginal for its two most economically important crops: corn (Zea mays) and soybean (Glycine max). As corn and soybean are frequently planted in a crop rotation, it is important to consider if there is a relationship with cropland marginality. Based on the current literature, there exists a need for a flexible yet robust methodology for identifying marginal land at different scales, which …


An Extendable Visualization And User Interface Design For Time-Varying Multivariate Geoscience Data, Yanfu Zhou Aug 2016

An Extendable Visualization And User Interface Design For Time-Varying Multivariate Geoscience Data, Yanfu Zhou

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

Geoscience data has unique and complex data structures, and its visualization has been challenging due to a lack of effective data models and visual representations to tackle the heterogeneity of geoscience data. In today’s big data era, the needs of visualizing geoscience data become urgent, especially driven by its potential value to human societies, such as environmental disaster prediction, urban growth simulation, and so on. In this thesis, I created a novel geoscience data visualization framework and applied interface automata theory to geoscience data visualization tasks. The framework can support heterogeneous geoscience data and facilitate data operations. The interface automata …


Pumpage Reduction By Using Variable Rate Irrigation To Mine Undepleted Soil Water, Tsz Him Lo, Derek M. Heeren, Derrel Martin, Luciano Mateos, Joe D. Luck, Dean E. Eisenhauer Jan 2016

Pumpage Reduction By Using Variable Rate Irrigation To Mine Undepleted Soil Water, Tsz Him Lo, Derek M. Heeren, Derrel Martin, Luciano Mateos, Joe D. Luck, Dean E. Eisenhauer

Biological Systems Engineering: Papers and Publications

Conventional irrigation schedules are typically based on portions of the field where root zones hold the least available soil water. This leaves undepleted available water in areas with larger water holding capacities. The undepleted water could be used through variable-rate irrigation (VRI) management; however, the benefits of VRI without in-field mapping are unexamined. In this research, the field-averaged amount of undepleted available soil water in the root zone was calculated from the NRCS Soil Survey Geographic database for 49,224 center-pivot irrigated fields in Nebraska. Potential reductions in pumpage from mining undepleted available water were then estimated. Results of the analysis …


Integration And Delivery Of Interferometric Synthetic Aperture Radar [Insar] Data Into Stormwater Planning Within Karst Terranes, Brian Bruckno, Andrea Vaccari, Edward Hoppe, Scott Acton, Elizabeth Campbell Oct 2015

Integration And Delivery Of Interferometric Synthetic Aperture Radar [Insar] Data Into Stormwater Planning Within Karst Terranes, Brian Bruckno, Andrea Vaccari, Edward Hoppe, Scott Acton, Elizabeth Campbell

Department of Earth and Atmospheric Sciences: Faculty Publications

As part of two USDOT-funded studies focused on the development of satellite-based Interferometric Synthetic Aperture Radar (InSAR) technology, the researchers integrated InSAR-derived point cloud data into the transportation design process to optimize the location of a stormwater management system in a karst terrane. After initial validation, the InSAR data (over 1.67 million data points comprising various “scatterers”) were brought into a GIS dataframe and georeferenced to locations of known sinkholes. This dataset was then used to evaluate karst hazard within a 40x40km data frame located in the Valley and Ridge Province of Virginia. The group identified systematic kinematic differences in …


A Geospatial Approach For Prioritizing Wind Farm Development In Northeast Nebraska, Usa, Adam Miller, Ruopu Li Jul 2014

A Geospatial Approach For Prioritizing Wind Farm Development In Northeast Nebraska, Usa, Adam Miller, Ruopu Li

School of Natural Resources: Faculty Publications

Being cleaner and climate friendly, wind energy has been increasingly utilized to meet the ever-growing global energy demands. In the State of Nebraska, USA, a wide gap exists between wind resource and actual energy production, and it is imperative to expand the wind energy development. Because of the formidable costs associated with wind energy development, the locations for new wind turbines need to be carefully selected to provide the greatest benefit for a given investment. Geographic Information Systems (GIS) have been widely used to identify the suitable wind farm locations. In this study, a GIS-based multi-criteria approach was developed to …


Decaf: A New Event Detection Logic For The Purpose Of Fusing Delineated-Continuous Spatial Information, Kerry Q. Hart May 2014

Decaf: A New Event Detection Logic For The Purpose Of Fusing Delineated-Continuous Spatial Information, Kerry Q. Hart

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

Geospatial information fusion is the process of synthesizing information from complementary data sources located at different points in space and time. Spatial phenomena are often measured at discrete locations by sensor networks, technicians, and volunteers; yet decisions often require information about locations where direct measurements do not exist. Traditional methods assume the spatial phenomena to be either discrete or continuous, an assumption that underlies and informs all subsequent analysis. Yet certain phenomena defy this dichotomy, alternating as they move across spatial and temporal scales. Precipitation, for example, appears continuous at large scales, but it can be temporally decomposed into discrete …


A Gis Approach For Estimating Optimal Sites For Grid-Connected Photovoltaic (Pv) Cells In Nebraska, Tomotoshi Funabashi Dec 2011

A Gis Approach For Estimating Optimal Sites For Grid-Connected Photovoltaic (Pv) Cells In Nebraska, Tomotoshi Funabashi

Department of Environmental Studies: Undergraduate Student Theses

In the context of rising energy concerns and increased spotlight on solar energy, this study examines and draws attention to the state of mid potential sunlight. The purpose of this study is to estimate the optimal sites for grid-connected photovoltaic cells in Nebraska, which is ranked 13th nationally in terms of insolation potential. Five factors – insolation potential, adjacency to roads, accessibility to grid, topography, and acreage – are examined with the use of Geographic Information System (GIS). Insolation potential was quantitatively analyzed by averaging, plotting, and interpolating the 20 years of datasets recoded at 28 weather stations of High …


Assessing Flood Inundation Mapping With The Use Of A Dem And Gis Along The Missouri River At Sioux City, Iowa, Kathryn A. Pfaffle Dec 2011

Assessing Flood Inundation Mapping With The Use Of A Dem And Gis Along The Missouri River At Sioux City, Iowa, Kathryn A. Pfaffle

Department of Environmental Studies: Undergraduate Student Theses

There are various methods that are used to predict flood inundation. The U.S. Army Corps of Engineers provided inundation maps for the 2011 Missouri River flood event that did not utilized aerial photo imagery. This study assesses the suitability of using a digital elevation model (DEM) in combination with aerial photo imagery within a geographic information system to predict flood inundation mapping along the Missouri River in Sioux City, Iowa. GPS data was collected during the height of this flood event in order to validate the positional accuracy of the DEM. Using the GPS receiver’s accuracy standards to determine the …


The Application Of Gis And Spatiotemporal Analyses To Investigations Of Unusual Marine Mammal Strandings And Mortality Events, Stephanie A. Norman, Jessie Huggins, Tim E. Carpenter, James T. Case, Dyanna M. Lambourn, Jim Rice, John Calambokidis, Joseph K. Gaydos, M. Bradley Hanson, Deborah A. Duffield, Sandra Dubpernell, Susan Berta, Matt Klope Jan 2011

The Application Of Gis And Spatiotemporal Analyses To Investigations Of Unusual Marine Mammal Strandings And Mortality Events, Stephanie A. Norman, Jessie Huggins, Tim E. Carpenter, James T. Case, Dyanna M. Lambourn, Jim Rice, John Calambokidis, Joseph K. Gaydos, M. Bradley Hanson, Deborah A. Duffield, Sandra Dubpernell, Susan Berta, Matt Klope

United States Department of Commerce: Staff Publications

In 2006–2007, an unusually high number of harbor porpoises (Phocoena phocoena) stranded along the Washington and Oregon coastlines. Spatiotemporal analyses were used to examine their ability to detect clusters of porpoise strandings during an unusualmortality event (UME) in the Pacific Northwest using stranding location data. Strandings were evaluated as two separate populations, outer coast and inland waters. The presence of global clustering was evaluated using the Knox spatiotemporal test, and the presence of local clusters was investigated using a spatiotemporal scan statistic (space–time permutation). There was evidence of global clustering, but no local clustering, supporting the hypothesis that …