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 …

Remote Sensing And Gis Based Approach To Evaluate The Impact Of Stone Quarrying And Crushing Activities On Land Resources, R. S. Chaurasia, S. N. Mohapatra

Journal of Sustainable Mining

The land is one of the most treasures to support life, like food, fibre, medicine, and minerals, etc. Stone quarrying is one of the key elements which supports socio-economic development and industrial expansion. RS and GIS play an important role in environmental assessment to monitor the stone quarries and related activities for time to time. The present study was carried out to evaluate the impact of stone quarrying and crushing activities (SQCA) on land resources. Therefore, matrix change analysis of 2021, 2015, 2008 and 2003 were used for change detection. High-resolution Google Earth Pro images were used for the assessment …

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 …

The Spatial Effects Of Elderly Population Presence On Covid -19 Incidence In Dki Jakarta Before, During, And After Large-Scale Social Restriction, Chotib Chotib, I G A A Karishma Maharani Raijaya Mrs., Ahmad Aki Aki Muhaimin Mr., Novani Saputri

Smart City

ABSTRACT

Infected cases and suspect cases of covid-19 are increasing more and more daily. This increment happens either in whole regions of Indonesia and DKI Jakarta as a capital city. The purpose of this research is to seek the pattern in spatial of Covid-19 incidence with 3 different periods of before, during, and after large-scale social restriction, and to identify the influence of the presence of the elderly and other factors. One of the scopes of this study is the presence of the elderly because the elderly population is considered as influencing the increase of Covid-19 incidence. The analysis method …

The Spatial Patterns Of Pluvial Flood Risk, Blue-Green Infrastructure, And Social Vulnerability: A Case Study From Two Alaskan Cities, Arun K. Pallathadka, Heejun Chang, Idowu Ajibade

International Journal of Geospatial and Environmental Research

Flooding is a serious form of natural hazard in Alaska, USA. Two of Alaska’s biggest cities, Anchorage and Fairbanks, have experienced flooding of varying magnitude since the cities were first settled in the early 20th century. Although flood mitigation measures such as blue-green infrastructure (BGI) are rising in prominence, the spatial relationship of BGI, urban pluvial flood (UPF) zone, and social vulnerability remains understudied. This study delineates the UPF zone of Anchorage and Fairbanks using the Blue Spot modeling and correlates it with the distribution of BGI at Census Block Group (CBG) scale, focusing on underlying social vulnerability using a …

Towards Detecting, Characterizing, And Rating Of Road Class Errors In Crowd-Sourced Road Network Databases, Johanna Guth, Sina Keller, Stefan Hinz, Stephan Winter

Journal of Spatial Information Science

OpenStreetMap (OSM), with its global coverage and Open Database License, has recently gained popularity. Its quality is adequate for many applications, but since it is crowd-sourced, errors remain an issue. Errors in associated tags of the road network, for example, are impacting routing applications. Particularly road classification errors often lead to false assumptions about capacity, maximum speed, or road quality, possibly resulting in detours for routing applications. This study aims at finding potential classification errors automatically, which can then be checked and corrected by a human expert. We develop a novel approach to detect road classification errors in OSM by …

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 …

Spatiotemporal Interactions Between Surface Coal Mining And Land Cover And Use Changes, Nikolaos Paraskevis, Aikaterini Servou, Christos Roumpos, Francis Pavloudakis

Journal of Sustainable Mining

Long-term surface mining and land cover and use changes have been evidenced to have a critical relationship. This study conducts trend and correlation analysis by statistical tools to quantitatively evaluate this relationship in the Ptolemais (Northern Greece) coal mining area for the period 1990-2018. Firstly, based on Corine data and satellite images, a relative spatial indicator (RSI) was adopted to describe the mineral land areas. Secondly, land cover and use changes were spatially defined using Corine data and ArcGIS tools. The active mining area was then distinguished by dumping area, using Landsat satellite imagery and mining maps, and finally, mine …

Triple Threat Gateway? Respiratory Health, Demographics And Land Use In Metro East St. Louis, Missouri-Illinois, Usa, Stacey R. Brown-Amilian

International Journal of Geospatial and Environmental Research

This paper examines a triple threat for residents of two counties in the St. Louis metropolitan area. Previous environmental justice research has focused on demographics and toxic facilities. This research builds upon those assessments by incorporating hospital discharge data and demographics as well as three different types of pollution sources. Air pollution monitors were unavailable to use during the time period of 2009-2011, therefore proxy measures of pollution in the form of major roadways, industrial land use parcels, and toxic facility information from the EPA Toxic Release Inventory are utilized. This study integrates both spatial coincidence and proximity analysis methods …

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.

Sistem Informasi Geografi (Sig) Pencarian Lokasi Tambal Ban Dengan Pemanfaatan Teknologi Gps, Desy Ika Puspitasari, Zaenuddin Zaenuddin, Fitrah Yuridka

Elinvo (Electronics, Informatics, and Vocational Education)

The occurrence of a tire leak in the middle of a trip can often be caused by many things, such as being hit by a sharp object, the age of the tire is too old, leaking in the former patches, or it can be caused by others. These factors make vehicle users panic and think to immediately find the nearest tire repair location. Almost everyone has a smartphone where there is a Google Map application by utilizing GPS technology so as not to get lost when driving, with GPS technology can be estimated the distance between one location and another. …

A Gis-Based Study Of Wild Atlantic Way In The West Of Ireland: Its Associated Organisations And Environmental Impacts., Leanne Leonard

SURE Journal: Science Undergraduate Research Experience Journal

Background

Coastal regions are heavily reliant on tourism in order to achieve socio-economic sustainability. However, tourism impacts both positively and negatively on many coastal destinations. The world’s longest defined coastal route of 2600km, the Wild Atlantic Way (WAW), attracts tourists to the region of the West of Ireland after Fáilte Ireland began a promotional tourism drive in 2014. The association between WAW tourism and environmental impacts requires investigation.

The West of Ireland is home to a range of areas protected by the Birds and Habitats Directives which aim to safeguard against potentially damaging developments, meaning the anthropogenic effects from tourists …

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 …

Visualization Platform Of Lightweight Toxic Gases Dispersion, Jinyuan Jia, Xinzhi Zhao, Panjing Li

Journal of System Simulation

Abstract: The sudden accidents usually emit large quantities of toxic gases and harmful pollutants in a short time. It is very necessary and meaningful to predict and visualize the dispersing trend of those toxic gases over Internet as accurate and fast as possible for people to evacuate safely and immediately. We propose a lightweight simulation for air pollution dispersion based on the Gaussian puff model. With this method, we can visualize the procedure of toxic gas dispersing on a webpage in real-time. we can also estimate the pollution of toxic gas dispersion trend and analyze their further pollution effects on …

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 …

Considering The Non-Programming Geographer's Perspective When Designing Extracurricular Introductory Computer Programming Workshops, Thomas R Etherington

Journal of Spatial Information Science

Computer programming is becoming an increasingly important scientific skill, but geographers are not necessarily receiving this training as part of their formal education. While there are efforts to promote and support extracurricular introductory computer programming workshops, there remain questions about how best to deliver these workshops. Therefore, as part of a recent introductory programming extracurricular workshop I organized for non-programing geographers, I tried to understand more about their perceptions of computer programming. I identify that one of the most important aspects for geographers to learn to computer program is to have training that is domain specific to ensure that the …

Determination Of Hydrologic Characteristics Of Si̇nop Demi̇rci̇köy Watershed And Production Of Monthly Saturation Degree Maps, Mustafa Can Canoğlu

Bulletin of the Mineral Research and Exploration

The aim of this study is to determine the hydrologic characteristics and to analyze the temporal saturation degree variations of Demirciköy Watershed which is located in Sinop City and subjected to rapidly increasing population. This study is important in terms of preventing the natural disasters such as flood, storm water, landslide and mitigation of damages within the frame of watershed planning concept. This study consists of field, office and laboratory stages. In context of field studies, representative soil samples are taken from study area. Within the scope of laboratory studies, soil hydrologic properties are characterized with the determination of soil …

Predicting Northern Bobwhite Habitat In Semiarid Rangeland Using Landsat Imagery, Jeffrey G. Whitt, Kelly S. Reyna

National Quail Symposium Proceedings

Multiple studies have attempted to model northern bobwhite (Colinus virginianus) distribution using classified remotely sensed imagery in combination with pattern recognition software. These models tend to be more accurate in humid subtropical regions. To identify bobwhite habitat in subhumid and semiarid rangeland, we performed our own classification on 4 LANDSAT scenes of Clay County, Texas, from July and December 2015. Stands of mature little bluestem (Schizachyrium scoparium) provide excellent bobwhite nesting cover and could be identified using LANDSAT imagery. Habitat was scored from 0 to 1.0 based on estimated range health, presence of little bluestem, and …

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 …

Using Gis And Remote Sensing To Analyze Lake Level Rise Of Étang Saumâtre, Haiti, Helenmary M. Hotz, Alan D. Christian

International Journal of Geospatial and Environmental Research

Haiti is the poorest country in the western hemisphere and is beset by catastrophic events of natural and anthropogenic origins. Therefore, Haiti is vulnerable to and ill-equipped to manage these events. Since 2004, the incidence and intensity of tropical storms over the island of Hispaniola has resulted in loss of life and been the catalyst for forced migration of the population, resulting in contamination of water and health issues, i.e. cholera. Our research uses GIS and Remote Sensing to address the potential flooding hazard to population and agriculture abutting the closed basin lake Étang Saumâtre. Our analysis of Landsat imagery …

Predicting Changes Of Rainfall Erosivity And Hillslope Erosion Risk Across Greater Sydney Region, Australia, Xihua Yang, Bofu Yu, Xiaojin Xie

International Journal of Geospatial and Environmental Research

Rainfall changes have significant effect on rainfall erosivity and hillslope erosion, but the magnitude of the impact is not well quantified because of the lack of high resolution rainfall data. Recently, the 2-km rainfall projections from regional climate models have become available for the Greater Sydney Region (GSR) at daily time step for the current (1990-2009) and future (2040-2059) periods. These climate projections allow predicting of rainfall erosivity changes and the associated hillslope erosion risk for climate change assessment and mitigation.

In this study, we developed a daily rainfall erosivity model for GSR to predict rainfall erosivity from the current …

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 …

Optimization Of Electrical Power Transmission Lines'' Routing Using Ahp, Fuzzy Ahp, And Gis, Hasan Eroğlu, Musa Aydin

Turkish Journal of Electrical Engineering and Computer Sciences

With the increase of people's need for energy, electrical energy transmission has become a very important issue as well as electrical power generation. One of the most important problems in energy transmission is finding the best route in a very complex study area. To date, many people from different disciplines have come together to find the best routes by manual methods like using paper maps and deciding which route is the least-cost path (LCP) to the destination point. Today it is known that, in engineering problems, and especially in path-finding or site-placing problems, the Geographic Information System (GIS) is the …