Physical Sciences and Mathematics Commons^™

The Usage Of Band Ratios To Predict Lake Water Quality Parameters Using Sentinel-2 L1c Imagery, Austin Spoor, Ho-Seop Cha

International Journal of Geospatial and Environmental Research

Band ratios using remote imagery can be useful for monitoring large bodies of water when high quality imagery is available. Sentinel-2 satellite imagery provides frequent, high-resolution coverage of the globe. This study set out to test the usefulness of existing band ratios for estimating chlorophyll a (CHL-a), dissolved organic carbon (DOC), and turbidity with Sentinel-2 imagery. USGS in-situ data was matched to Sentinel-2 imagery of Beaver Lake, Arkansas taken August 2015 to July 2019 and the dark spectrum fitting (DSF) atmospheric correction method in ACOLITE was applied to generate surface reflectance values. CHL-a was estimated using two …

Accuracy Assessment Of Measuring Linear And Areal Features In Aerial Imagery, I-Kuai Hung, David L. Kulhavy, Daniel R. Unger, Reid A. Viegut, Yanli Zhang, Nicholas C. Schiwitz

International Journal of Geospatial and Environmental Research

As part of natural resource education in the Arthur Temple College of Forestry and Agriculture at Stephen F. Austin State University (SFASU), students were instructed to take areal and linear measurements of grounds remotely using available platforms including aerial orthomosaic derived from UAS (unmanned aerial system) acquired imagery, Google Earth Pro, and Pictometry. The onscreen measurement was conducted at five different map scales, 1/1000, 1/2000, 1/3000, 1/4000, and 1/5000. Accuracy of the measurements was assessed by comparing the onscreen measurements to ground truth data verified with a measuring tape. Results show that measurements based on the UAS were more accurate …

Comparing Drone2map Versus Pix4dmapper When Creating Orthophoto Mosaics Over Homogeneous Land Features, Victoria Williams, Daniel R. Unger, David Kulhavy, I-Kuai Hung, Yanli Zhang

International Journal of Geospatial and Environmental Research

This study evaluated two popular software packages currently used within the natural resources profession to create orthophoto mosaics: Drone2Map and Pix4Dmapper. Of particular concern was how effective these two software packages would perform in creating orthophoto mosaics over a city park in East Texas consisting of forest, open grass, and urban concrete surrounding a lake. Two drone flights over the city park were conducted. One flight was at 76 meters (250 feet) above ground with a single pass configuration. The other flight was at 122 meters (400 feet) above ground with a double pass configuration. Upon the completion of each …

Special Thanks To Reviewers 2021-2022, Woonsup Choi

International Journal of Geospatial and Environmental Research

Sincere thanks are extended to the individuals who reviewed manuscripts for International Journal of Geospatial and Environmental Research during the period from 1 January 2021 to 31 December 2022.

Exploring The Spatial Distribution Of Air Pollutants And Covid-19 Death Rate: A Case Study For Los Angeles County, California, Akhil Mandalapu, Junfeng Jiao, Amin Azimian

International Journal of Geospatial and Environmental Research

Objective

Since March 2020, COVID-19 has rapidly spread across the world with over 240 million cases and over 5 million deaths as of November 2021. It has been unclear what role air pollutants may play in exacerbating respiratory illnesses such as COVID-19 due to their interaction with the respiratory system. The association with air pollutants and COVID-19 severity has been explored at the regional and metropolitan area, however it is unclear if such an association is consistent at the neighborhood level.

Methods

Weekly death rates from COVID-19 from March 2020 to November 2021 were compared using one-sided unpaired t-tests across …

What Geographers Research: An Analysis Of Geography Topics, Clusters, And Trends Using A Keyword Network Analysis Approach And The 2000-2019 Aag Conference Presentations, Jeong C. Seong, Chul Sue Hwang, Ana Stanescu, Youngho Lee, Yubin Lee

International Journal of Geospatial and Environmental Research

The spectrum of geographic research topics is very broad, and several thousands of research projects are presented at AAG annual conferences. This research aims at analyzing geography research topics, clusters, and trends using conference presentation data. We analyzed the 2000-2019 AAG conference presentations with keyword network analysis methods. The most frequently used keywords during the 20-year span were GIS, followed by Remote Sensing, Climate Change, Urban, China, Education, Political Ecology, Migration, Gender, and Agriculture. Results showed that geographic research has focused on six major clusters during 2000-2019: GIS, Urban, Climate Change, Political Ecology, People, and Education. About 68.6 percent of …

Characterizing Clustering Models Of High-Dimensional Remotely Sensed Data Using Subsampled Field-Subfield Spatial Cross-Validated Random Forests, Andrew B. Whetten

International Journal of Geospatial and Environmental Research

Clustering models are regularly used to construct meaningful groups of observations within complex datasets, and they are an exceptional tool for spatial exploratory analysis. The clusters detected in a recent spatio-temporal cluster analysis of leaf area index (LAI) in the Columbia River Basin (CRB) require further investigation since they are only derived using a single greenness metric. It is of great interest to further understand how greening indices can be used to determine separation of sites across an array of remotely sensed environmental attributes. In this prior work, there are highly localized minority clusters that were detected to be most …

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 …

Measuring Spatio-Temporal Responses To Hurricane Matthew Employing Twitgis, Seungil Yum

International Journal of Geospatial and Environmental Research

This study explores spatio-temporal responses to Hurricane Matthew across the US states by analyzing Twitter data. This study finds that people in different states and periods respond differently to Hurricane Matthew. For instance, people in the Midwest and Northeast regions show a high proportion of tweets in the pre-hurricane period. Those in the Southeast region demonstrate a high proportion of those in the hurricane period, and those in the West region show a high proportion of those in the post-hurricane period. This study also finds that people increase long distance trips (over 100 km) and decrease short distance trips (within …

Geospatial Technology In Sustainable Cities And Communities: Introduction To The Special Issue, Siti Aekbal Salleh, Zulkiflee Abd Latif, Nazri Che Dom

International Journal of Geospatial and Environmental Research

This special issue aims to demonstrate how we could leverage geospatial technology for sustainable cities and communities. Contributions on a wide range of geospatial technologies (e.g., GIS, remote sensing, spatial statistics, photogrammetry, and geomatics) as well as issues addressing better cities and communities for a sustainable future are encouraged. This issue contains selected papers from the 7th International Conference on Geomatics and Geospatial Technology (GGT) 2021, which took place in Kuala Lumpur, Malaysia, on 24th March 2021. The five articles selected for this special issue demonstrate how geospatial technology can be used to create more sustainable cities and communities. The …

Geological Lineament Assessment From Passive And Active Remote Sensing Imageries, Ainyyafiatty Arifin, Nor A. Adnan

International Journal of Geospatial and Environmental Research

Lineament is any extensive linear feature on the Earth’s surface that can be identified when there is a change in the topographical data. The advancement of technologies in remote sensing and Geographical Information Sciences (GIS) lead to the various studies and methods in mapping lineaments due to the availability of data from small to large scale areas. Lineament can be extracted from remote sensing data either with manual, semi-automatic or automatic image processing techniques that incorporate in numerous remote sensing and GIS software. Manually digitizing or tracing the aerial photograph is a subjective method as the lineament will be interpreted …

A Comparative Study Of Delineated Watersheds Using Aster And Srtm In Johor, Malaysia, Nafisah Khalid, Maisarah Abdul Halim, Siti Nur A’Tirah Shahimi

International Journal of Geospatial and Environmental Research

The availability of watershed delineation that has been generated from DEM data is difficult to obtain and the accessibility of DEM data which are unrestricted and precise are hard to obtain in Malaysia. The aim of this study is to examine the accuracy of watershed delineation between Digital Elevation Model (DEM) from ASTER and SRTM in Johor State Malaysia. In this study, free online data sources from USGS website are used to delineate watershed from ASTER and SRTM satellite imageries. The hydrological modelling tool namely ArcSWAT is utilized to delineate watersheds for both DEM datasets. Both DEM data that had …

Travel Time Patterns Of Students With Special Needs To Special Education Integrated Program-Based Schools In Johor Bahru, Malaysia: An Initial Finding, Nurul Hawani Idris, Nur Afiqah Ahmad Bakhtiar, Mohamad Hafis Izran Ishak

International Journal of Geospatial and Environmental Research

Education for all has been a global priority to ensure that all students have equal access to high-quality education regardless of disability or minority status. In Malaysia, the special education integrated programme (SEIP) is designed to close the inequality gap by integrating special education into existing government and vernacular schools. Numerous studies examine the travel patterns of regular students to school, resulting in a dearth of research on the travel patterns of special needs students to formal school. Thus, this paper uses spatial analysis to demonstrate the travel patterns of students with special needs to SEIP schools. This paper demonstrated …

Geospatial Clustering And Hot Spot Detection Of Covid-19 Incidence In 2020: A Global Analysis, Munazza Fatima, Sana Arshad, Ibtisam Butt, Saba Arshad

International Journal of Geospatial and Environmental Research

Emergence and spread of Covid-19 initiated diversified researches based on spatial analysis in visualization, exploration, and modelling of this infection. This short communication is an attempt to comprehend the geographic distribution and spatial clustering of Covid-19 in year 2020. Main objective is to spatially analyze Covid-19 incidence rates, identification of hotspots and clusters outliers at global level. Monthly data of reported cases were taken from World Health Organization dashboard and situation reports. Incidence rate was calculated for each country for each month. Spatial autocorrelation techniques of Global Moran are I and Anselian Local Moran’s I were used to examine the …

Special Thanks To Reviewers 2020, Woonsup Choi

International Journal of Geospatial and Environmental Research

Sincere thanks are extended to the individuals who reviewed manuscripts for International Journal of Geospatial and Environmental Research during the period of 1 January to 31 December 2020.

Exploring The Potential Of Feature Selection Methods In The Classification Of Urban Trees Using Field Spectroscopy Data, Simbarashe Jombo, Elhadi Adam, Marcus J. Byrne, Khalid Adem Ali, Solomon W Newete

International Journal of Geospatial and Environmental Research

Mapping of vegetation at the species level using hyperspectral satellite data can be effective and accurate because of its high spectral and spatial resolutions that can detect detailed information of a target object. Its wide application, however, not only is restricted by its high cost and large data storage requirements, but its processing is also complicated by challenges of what is known as the Hughes effect. The Hughes effect is where classification accuracy decreases once the number of features or wavelengths passes a certain limit. This study aimed to explore the potential of feature selection methods in the classification of …

Scale Mis-Matches When Assessing Chloride Concentration And Corrosiveness Using Statewide Data For Trend Analysis, Rebecca L. Kauten

International Journal of Geospatial and Environmental Research

This study compares chloride concentrations and a series of corrosiveness indexes to determine whether trends in statewide databases appropriately detect local conditions. Chloride concentrations in local, urban streams generally persist at higher levels than what is typical of natural waters. Data collected for statewide water quality assessments are often at a broader geographical scale. Results and subsequent policies may indicate little to no environmental concern, meanwhile degradation at the local scale remains relatively undetected. Pulses of local snowmelt runoff may violate water quality criteria, but long-term trends measured at the statewide scale are in decline. Results highlight the need for …

A Neighborhood-Level Perspective Of Real Estate Determinants In Three U.S. Cities, Mikhail Samarin, Madhuri Sharma

International Journal of Geospatial and Environmental Research

This study examines the relationships between commonly available socio-economic and environmental determinants of real estate (crime, quality of schools, racial/ethnic diversity, and built environment) and real estate values in socially and politically recognized units in the three largest cities of the U.S.—New York, Los Angeles, and Chicago. Utilizing a variety of data sources used by potential real estate buyers, we conduct correlations, mapping, and multiple regression analyses to identify the degrees and strengths of associations between select determinants and real estate values at these politically recognized units. Results suggest that the cities exhibit similar patterns for crime-related characteristics and quality …

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 …

Green To Gray: Political Ecology Of Paving Over Green Spaces In Moscow, Russia, Mikhail S. Blinnikov, Liudmila Volkova

International Journal of Geospatial and Environmental Research

Moscow, Russia is the largest city in Europe with over 12.6 million residents. The remarkable fact is that it is also a biologically diverse ecosystem with a few dozen specially protected natural areas, including 15 large forest parks and a variety of smaller nature-places. The recent landscaping “improvements” conducted by the Moscow government since 2010 greatly increased negative impacts on the green infrastructure, e.g., a lot more paving, systematic grass mowing, widespread planting of exotic plant species, increased residential and commercial construction, more noise, etc. While quantification of the impacts of the above on the biota is not easy, we …

A Conceptual Agent-Based Model Of Farming Households’ Vulnerability To Winter Storms, Yiyi Zhang

International Journal of Geospatial and Environmental Research

Vulnerability assessments are implemented to identify regions and groups at risk and factors that need to be addressed to reduce vulnerability. Existing assessments have allowed multidimensional factors to be examined in various settings and adopted complex models to simulate human-environment-weather interactions. However, these models are far less accessible than traditional models due to model abstraction and there has been limited research detailing a formalized way to simulate the interactions between rural households and external changes in response to a specific extreme weather event. To supplement applied efforts in vulnerability assessments and address the challenge in communicating agent-based models, this study …

Mapping And Describing Geospatial Data To Generalize Complex Models: The Case Of Littosim-Gen, Ahmed Laatabi, Nicolas Becu, Nicolas Marilleau, Cécilia Pignon-Mussaud, Marion Amalric, Xavier Bertin, Brice Anselme, Elise Beck

International Journal of Geospatial and Environmental Research

For some scientific questions, empirical data are essential to develop reliable simulation models. These data usually come from different sources with diverse and heterogeneous formats. The design of complex data-driven models is often shaped by the structure of the data available in research projects. Hence, applying such models to other case studies requires either to get similar data or to transform new data to fit the model inputs. It is the case of agent-based models (ABMs) that use advanced data structures such as Geographic Information Systems data. We faced this problem in the LittoSIM-GEN project when generalizing our participatory flooding …

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.

A Pilot Study On The Relationship Between Urban Green Spaces And Fine Particulate Matter, Sohyun Park, Seungman Kim, Jaehoon Lee

International Journal of Geospatial and Environmental Research

This study aims at identifying the relationships among various variables that influence city-wide PM_2.5 pollution levels in the six largest cities in Texas. The variables were categorized into three groups for statistical analysis: 1) urban components (city land area, urban population, population density); 2) green space components (coverage, percentage, connectivity, and shape); and 3) meteorological factors (ambient temperature and wind speed). To identify the relationship between meteorological features and daily PM_2.5 concentration, we used descriptive statistics for each city and all six cities combined. A bivariate statistical test was used to examine the correlation between urban and green …

Special Thanks To Reviewers 2018-2019, Woonsup Choi

International Journal of Geospatial and Environmental Research

Sincere thanks are extended to the following individuals who reviewed manuscripts submitted to the International Journal of Geospatial and Environmental Research during the period of 1 January 2018 to 31 December 2019.

Effects Of Stormwater Green Infrastructure On Watershed Outflow: Does Spatial Distribution Matter?, Benjamin Fahy, Heejun Chang

International Journal of Geospatial and Environmental Research

Green Stormwater Infrastructure (GSI) has become a popular method in urban stormwater management. We examined how spatial distribution of GSI affected rainfall-runoff relationships in a recently developed neighborhood in Gresham, Oregon, USA for the 2017-2018 water year. Runoff ratio, peak discharge, and flashiness were compared under four precipitation scenarios (of differing intensity and duration) and different spatial arrangements of GSI. Distributed GSI reduced runoff ratio (10 - 20%), peak discharge (26 - 68%), and flashiness index (56 - 70%). Distributed GSI outperformed centralized structures for all metrics, reducing runoff ratio (22 - 32%), peak discharge 67 to 69%, and flashiness …

Temporal Trends And Origins Of Lake Erie Cadmium Contamination In Relation To Sediment Substrate Type Using Multivariate Kriging Analyses, Danielle E. Mitchell, K. Wayne Forsythe, Chris H. Marvin, Debbie A. Burniston

International Journal of Geospatial and Environmental Research

Using the kriging spatial interpolation method, Cd sediment contamination in Lake Erie from 1971 (263 samples) and 1997/1998 (55 samples) were mapped as continuous data surfaces. Although the most recent data set is two decades old, the roughly 25 year period between the two comprehensive lake-wide surveys represents a period of intense binational management action to reduce sources of contamination. To improve interpolation accuracy between two different sampling densities, auxiliary variables including lake-wide sediment substrate types were integrated into spatial analysis of Cd contamination patterns. The potential for adverse biological impacts posed by Cd sediment contamination to humans and aquatic …

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 …

Implications Of Dam Removal: Modeling Streamflow In Lansing, Michigan Using The Soil And Water Assessment Tool, Ryan J. Filbin, Laiyin Zhu, Lisa Dechano-Cook, Lei Meng

International Journal of Geospatial and Environmental Research

This paper uses hydrologic modeling methods to determine the effects of dam removal in Lansing, Michigan, on the streamflow of the Grand River, flooding risks, and flood mitigation strategies. In Michigan, more than one-half of the state’s dam infrastructure is more than 50 years old, and more than one-third are classified as having a moderate-to high-risk potential. Lansing, Michigan, contains two moderate-to high-risk dams along the Grand River that are a significant hazard to the surrounding community in the event of structural failure. This research utilizes the Soil and Water Assessment Tool (SWAT) to model the impacts of the Moores …

Improving International Development Evaluation Through Geospatial Data And Analysis, Malte Lech, Juha Ilari Uitto, Sven Harten, Geeta Batra, Anupam Anand

International Journal of Geospatial and Environmental Research

Increasing availability of new types of data strengthens geospatial research in different scientific fields and opens up opportunities to better measure results and evaluate the impacts of development interventions. This article presents examples where geospatial approaches have been applied in evaluations and thus demonstrate the potential use in informing policy design through scientifically sound evidence as well as learning.

The authors illustrate innovative ways of employing geospatial data and analysis in impact evaluations of international development cooperation. These interventions are concerned with topics such as biodiversity conservation, land degradation, sustainable use of natural resources, and disaster risk management. Recent methodological …