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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 …


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

Department of 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 …


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 …


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 …