Digital Commons Network^™

Shading The Future: A Gis-Based Approach To Optimal Tree Planting For Urban Heat Mitigation At Northern Michigan University, Mary Kelly

Conspectus Borealis

Increasing tree canopy cover is a powerful tool for mitigating the effects of urban heat on the natural and built environment, specifically the effects of ecosystem stress and air quality. Heat can also place stress on human health. Northern Michigan University (NMU) is proposing to build a new tree nursery on campus, which would help alleviate urban heat in Marquette. Finding suitable areas at NMU to plant new trees from this nursery is an essential component of this effort. A goal of my project was to provide this helpful information. Using GIS and remote sensing techniques in ArcGIS Pro and …

Groundwater Potential Mapping Using The Integration Of Ahp Method, Gis And Remote Sensing: A Case Study Of The Tabelbala Region, Algeria, Ahmed Bennia, Ibrahim Zeroual, Abdelkrim Talhi, Lahcen Wahib Kebir

Bulletin of the Mineral Research and Exploration

Recently, groundwater resources are assessed and evaluated using Geographic Information System (GIS) and remote sensing technologies due to their effectiveness and wide spatial coverage. This work aims to identify groundwater potential areas in the Tabelbala region which lies in the Algerian desert in order to help for the solution of water resources shortages. GIS and remote sensing are employed in the preparation of the controlling factors such as lithology, lineaments, drainage network, slope, land use/land cover, topographic wetness index, and elevation. Statistical Analysis, as well as interpretation of remote sensing data, allow the extraction of important features about the study …

Numerical Quantification Of Surface Runoff And Soil Erosion Using Pcraster, Victorino A. Bato

The Philippine Agricultural Scientist

Surface runoff and soil erosion of the Upper Lagawe River Sub-watershed, Ifugao Province, Philippines were quantified using Geographic Information Systems (GIS)-based numerical simulation. PCRaster software was used as a framework for the model. Manning’s and Rose, and Freebairn’s Equations were utilized to compute surface runoff velocity and sediment mass. Analysis and comparison of the measured and predicted streamflow yielded a mean Nash and Sutcliffe Efficiency Index of 0.70, a mean percent bias of -8.38%, and a mean root mean square error (RMSE) of 0.16. Based on the model, super typhoon Lando (international name: Koppu) generated an estimated surface runoff volume …

Evaluation Of Measurement Data Across Eight Gis Basemaps Using Drumlins: Combining Basemaps Is Optimal, Gretchen A. Wambach, Alexander K. Stewart

The Compass: Earth Science Journal of Sigma Gamma Epsilon

Choosing the best basemap for landform data collection and analysis is fundamental for accurate measurements and usability. Different types of basemaps may affect how we perceive relief through a map (Phillips et al., 1975); thereby, affecting the precision of data collected. This project collected length and azimuth data of 60 drumlins in Western, NY from four different, ArcGIS online (AGOL)-provided basemaps, as well as two parallel-to-strike and two perpendicular-to-strike hillshades (n=4). Testing the mean length (1,662m, ±529) and azimuth (171°, ±0.3) data for uniformity across basemaps determined if any basemap is more or less reliable for data collection. The Terrain …

Indigeneity And Spatial Information Science, Matt Duckham, Serene Ho

Journal of Spatial Information Science

Spatial information science has given rise to a set of concepts, tools, and techniques for understanding our geographic world. In turn, the technologies built on this body of knowledge embed certain ways of knowing." This vision paper traces the roots and impacts of those embeddings and explores how they can sometimes be inherently at odds with or completely subvert Indigenous Peoples' ways of knowing. However advancements in spatial information science offer opportunities for innovation whilst working towards reconciliation. We highlight as examples four active research topics in the field to support a call to action for greater inclusion of Indigenous …

Using Gis And Remote Sensing Satellite Data To Mapping And Monitoring Shatt Al-Arab Estuary And Nearby Coastline Southern Iraq, Usama Q. Khalifa, Meelad A. Hussein, Layal F. Al-Kaaby

Al-Qadisiyah Journal of Pure Science

The main objective of this study is to evaluate the most important geomorphological changes of the Shatt al-Arab estuary as it is a border area and affect the Iraqi coast, through the analysis of morphological changes using the application of remote sensing techniques and GIS. As well as the use both a series of maps Admiral old and recent to monitor the temporal - spatial changes that took place in the mouth of the Shatt al-Arab (Delta Shatt al-Arab), also identify the factors affecting the Iraqi coast and regional maritime borders, whether natural or human, according to the changes resulting …

Exploratory Spatial Data Analysis In Traffic Safety, Amin Azimian, Dimitra Pyrialakou

International Journal of Geospatial and Environmental Research

This paper presents an exploratory spatial data analysis (ESDA) of road traffic crashes at different severity levels in West Virginia (WV). Although ESDA can support transportation safety decision-making by helping planners understand and summarize crash data, it is underutilized in practice. This paper describes the application of five representative easy-to-use method to identify crash patterns and high crash-risk counties in WV. Analysis of crash data from 2010 to 2015 indicated that traffic crashes in WV were not spatially correlated. However, crash severities were found to be positively correlated.

Identification Of Mined Areas That May Contribute To Water Quality Degradation At Hobet Coal Mine, West Virginia, Brian P. Murphy

IdeaFest: Interdisciplinary Journal of Creative Works and Research from Cal Poly Humboldt

No abstract provided.

Repairing Landsat Satellite Imagery Using Deep Machine Learning Techniques, Griffin J. Lane, Patricia Goresen, Robert Slater

SMU Data Science Review

Satellite Imagery is one of the most widely used sources to analyze geographic features and environments in the world. The data gathered from satellites are used to quantify many vital problems facing our society, such as the impact of natural disasters, shore erosion, rising water levels, and urban growth rates. In this paper, we construct machine learning and deep learning algorithms for repairing anomalies in the Landsat satellite imagery data which arise for various reasons ranging from cloud obstruction to satellite malfunctions. The accuracy of GIS data is crucial to ensuring the models produced from such data are as close …

Porphyry Copper Prospectivity Mapping Using Fuzzy And Fractal Modeling In Sonajeel Area, Nw Iran, Zahra Yazdi̇, Alireza Jafari̇ Rad, Mehraj Aghazadeh, Peyman Afzal

Bulletin of the Mineral Research and Exploration

Main purpose of this research is to present a local scale GIS-based mineral prospectivity model for prospecting Cu porphyry mineralization, and to validate the produced model by field observation, surface sampling and drilling data. Sonajeel area which is the subject of this study is a part of Arasbaran mineralization belt, NW of Iran. Constructing a mathematical exploratory algorithm based on a mineralization type is a complicated and interdisciplinary task. For this purpose, results from processing and interpreting different data sets including geology, geochemistry and remote sensing were considered. A comprehensive exploratory integration model was built up considering the exploration stage …

Using Gis And Remote Sensing To Map Grassroots Sustainable Development For A Small Ngo In Nepal, Suzanne C. Walther, Elizabeth M. Dengenis, Krishna Gurung

International Journal of Geospatial and Environmental Research

Geographic information systems, through analysis and visualizations, can aid in pursuing and improving sustainable development. Thousands of Non-Governmental Organizations (NGOs) in developing countries provide a wide range of services and local organizations with fewer resources must often be more efficient to offer their services effectively. The accessibility of spatial data for assessment and, in turn, improved planning could enable these organizations to increase efficiency, thereby maximizing aid and sustainable development, as well as the number of people helped in a variety of ways. Focusing on mapping outreach and quantifying land use for a locally run NGO in Nepal, this study …

Streambank Erosion Mapping On The Nottoway River Using Gps-Based Above-Water Video, Emine Fidan

Pursuit - The Journal of Undergraduate Research at The University of Tennessee

This project concerns the development of streambank erosion maps on military installations utilizing GPS-based above-water video mapping and image georeferencing techniques. The river mapped was the Nottoway River at the Fort Pickett military installation on October 10-11, 2015. Kayak-mounted above-water cameras were utilized to capture georeferenced images of streambank erosion. These GIS-based erosion classifications were utilized to develop erosion maps for determining streambank erosion conditions along the river. Areas of high erosion were identified as about two percent of the river (2167 ft. of streambank length). These maps allow for the opportunity to revisit the sites to determine changes in …

Comparison Of Terrain Indices And Landform Classification Procedures In Low-Relief Agricultural Fields, Derek A. Evans, Karl W. J. Williard, Jon E. Schoonover

Journal of Geospatial Applications in Natural Resources

Landforms control the spatial distribution of numerous factors associated with agronomy and water quality. Although curvature and slope are the fundamental surface derivatives used in landform classification procedures, methodologies for landform classifications have been performed with other terrain indices including the topographic position index (TPI) and the convergence index (CI). The objectives of this study are to compare plan curvature, the convergence index, profile curvature, and the topographic position index at various scales to determine which better identifies the spatial variability of soil phosphorus (P) within three low relief agricultural fields in central Illinois and to compare how two methods …

Estimating Medically Fragile Population Exposures To Tropical Storm Surges, James L. Wilson, Eileen Neuffer

International Journal of Geospatial and Environmental Research

Background. A particularly vulnerable sub-population is the medically fragile. The medically fragile (MF) are defined as those who have at least one chronic condition and are electrically and pharmaceutically dependent, including the need for oxygen, and require care within 48 hours. Estimates of MF populations at risk from environmental hazards are important for emergency management planning and mitigation.

Materials and Methods. The MF population is comprised of 8% of the total population under 75 years plus all those 75+ years. Zonal estimates of MF populations are obtained by clipping block level US Census populations with SLOSH basin data (SLOSH Display …

Orogenic Gold Prospectivity Mapping Using Geospatial Data Integration, Region Of Saqez, Nw Of Iran, Alireza Almasi̇, Alireza Jafari̇rad, Peyman Afzal, Mana Rahi̇mi̇

Bulletin of the Mineral Research and Exploration

The aim of this study is to map orogenic gold prospecting areas in the region of Saqez, NW of Iran. In order to achieve this task geological, geochemical and airborne geophysical data are analyzed and integrated using index overlay and fuzzy logic methods. Geological map of Saqez (1:100.000 scale) is used to assign lithological weights based on their favorability for hosting orogenic Au mineralization. Also a fault density map is produced and assigned based on the structural map which is included in the geological map. For preparing geochemical evidence maps, data from 535 stream sediment samples are examined using Number-Size …

No More Hidden Secrets: Human Rights Violations And Remote Sensing, Tommy O'Connell, Stephen Young

Genocide Studies and Prevention: An International Journal

Aim: This study used both high resolution and medium resolution satellite imagery to test three semi-automated remote sensing methods, in an attempt to identify useful tools to support eye-witness testimony and reports on human rights violations. As huts are routinely burned down during attacks on a village, particularly in Sudan, the number of huts and villages burned can be used to corroborate on-the-ground reports.

Methods: Three remote sensing methods (Supervised Classification, Change Detection, and Feature Extraction) were performed on imagery from both before the attacks in February 2006 and after the attacks to examine any useful trends that could be …

Winter Habitat Use By Juvenile Greater Sage-Grouse On Parker Mountain, Utah: Implications For Sagebrush Management, Danny Caudill, Terry A. Messmer, Brent Bibles, Michael R. Guttery

Human–Wildlife Interactions

Greater sage-grouse (Centrocercus urophasianus; hereafter, sage-grouse) are entirely dependent on sagebrush (Artemisia spp.) for food and cover during winter. Loss or fragmentation of important wintering areas could have a disproportionate affect on population size. We radio-marked and monitored 91 juvenile sage-grouse in south-central Utah from 2008 to 2010. Thirty-four individuals survived to winter (January to March) and were used to evaluate winter habitat use. Resource use was calculated using kernel density estimation of radio-marked individuals and compared to available habitat using a G-test. We found that juvenile sage-grouse used winter habitats characterized by 0 to 5% slopes …

The Influence Of Landscape Variation On Landform Categorization, Maia Williams, Werner Kuhn, Marco Painho

Journal of Spatial Information Science

This paper compares the landform vocabularies of residents from two regions in Portugal. Participants described both their own and the other less familiar landscapes in response to video footage of the regions. The results indicate that participants used more detailed vocabularies to describe the known landscape compared to the less familiar study site with detail triggered by individual place recognition. A relationship between landform lexica content and landscape type was observed in the relative placement of detail within each vocabulary. The observed drivers of categorization were the salient features of the landscape (elevation and land cover) and utilitarian motivations (land …