Application Of Geographic Information System Research Articles

Multiparameter flood hazard, socioeconomic vulnerability and flood risk assessment for densely populated coastal city

In the current study, flood risk assessment of densely populated coastal urban Surat City, on the bank of the lower Tapi River in India, was conducted by combining the hydrodynamic model-based flood hazard and often neglected socioeconomic vulnerability. A two-dimensional (2D) hydrodynamic (HD) model was developed using physically surveyed topographic data and the existing land use land cover (LULC) of the study area (5248 km2). The satisfactory performance of the developed model was ascertained by comparing the observed and simulated water levels/depths across the river and floodplain. The 2D HD model outputs with geographic information system (GIS) applications were further used to develop probabilistic multiparameter flood hazard maps for coastal urban city. During a 100-year return period flood (Peak discharge = 34,459 m3/s), 86.5% of Surat City and its outskirt area was submerged, with 37% under the high hazard category. The north and west zones are the worst affected areas in Surat City. The socioeconomic sensitivity and adaptive capacity indicators were selected at the city's lowest administrative (ward) level. The socioeconomic vulnerability was evaluated by employing the robust data envelopment analysis (DEA) technique. Fifty-five of 89 wards in Surat City, covering 60% of the area under the jurisdiction of the Municipal Corporation, are highly vulnerable. Finally, the flood risk assessment of the city was conducted using a bivariate technique describing the distinctive contribution of flood hazard and socioeconomic vulnerability to risk. The wards adjoining the river and creek are at high flood risk, with an equal contribution of hazard and vulnerability. The ward-level hazard, vulnerability, and risk assessment of the city will help local and disaster management authorities to priorities high risk areas while planning flood management and mitigation strategies.

Geovisualization and Analysis of Landscape-Level Wildfire Behavior Using Repeat Pass Airborne Thermal Infrared Imagery

Geovisualization tools can supplement the statistical analyses of landscape-level wildfire behavior by enabling the discovery of nuanced information regarding the relationships between fire spread, topography, fuels, and weather. The objectives of this study were to develop and evaluate the effectiveness of geovisualization tools for analyzing wildfire behavior and specifically to apply those tools to study portions of the Thomas and Detwiler wildfire events that occurred in California in 2017. Fire features such as active fire fronts and rate of spread (ROS) vectors derived from repetitive airborne thermal infrared (ATIR) imagery sequences were incorporated into geovisualization tools hosted in a web geographic information systems application. This geovisualization application included ATIR imagery, fire features derived from ATIR imagery (rate of spread vectors and fire front delineations), growth form maps derived from NAIP imagery, and enhanced topographic rasters for visualizing changes in local topography. These tools aided in visualizing and analyzing landscape-level wildfire behavior for study portions of the Thomas and Detwiler fires. The primary components or processes of fire behavior analyzed in this study were ROS, spotting, fire spread impedance, and fire spread over multidirectional slopes. Professionals and researchers specializing in wildfire-related topics provided feedback on the effectiveness and utility of the geovisualization tools. The geovisualization tools were generally effective for visualizing and analyzing (1) fire spread over multidirectional slopes; (2) differences in spread magnitudes within and between sequences over time; and (3) the relative contributions of fuels, slope, and weather at any given point within the sequences. Survey respondents found the tools to be moderately effective, with an average effectiveness score of 6.6 (n = 5) for the visualization tools on a scale of 1 (ineffective) to 10 (effective) for postfire spread analysis and visualizing fire spread over multidirectional slopes. The results of the descriptive analysis indicate that medium- and fine-scale topographic features, roads, and riparian fuels coincided with cases of fire spread impedance and exerted control over fire behavior. Major topographic features such as ridges and valleys slowed, or halted, fire spread consistently between study areas. The relationships between spotting, fuels, and topography were inconclusive.

ADEQUACY AND SUITABILITY OF GREEN OPEN SPACE IN MEDAN KOTA DISTRICT

ADEQUACY AND SUITABILITY OF GREEN OPEN SPACE IN MEDAN KOTA DISTRICT

Understanding the Landscape of Usability Evaluation in Geographic Information Systems: A Systematic Literature Review

This systematic literature review comprehensively examines usability evaluation in Geographic Information Systems (GIS). The study explores the importance of usability evaluation, common usability issues, and the role of usability evaluations in GIS design and development. The review reveals a critical need for more scientific publications of up-to-date GIS usability evaluations. It highlights the importance of usability evaluations in developing more user-friendly GIS applications. The findings underscore the need for improved user guidance and more intuitive design of GIS applications, particularly for novice users. The review also identifies several opportunities for future research, including developing usability guidelines for GIS, exploring new methods for analyzing GIS interactions and workflows, and considering GIS use over more extended periods. The findings have significant implications for GIS developers, users, and researchers, emphasizing the importance of conducting usability evaluations to enhance user satisfaction and improve task performance.

Aplikasi SIG Berbasis Web Pemetaan Lokasi Toko Oleh Oleh di Kota Batam

Abstract
 The development of technology today is very undoubted so that information is easy to access anytime and anywhere. The ease of accessing information gives new enthusiasm for humans in developing information technology or commonly referred to as Geographic Information System (GIS). The definition of GIS itself is a special information system that manages data that has special information, or it can also be interpreted as information about the place or location where the geographical location is located. Batam city is one of the cities in the Riau archipelego province. Batam is famous as a location visited by foreign and domestic tourists. Tourists that visit Batam city have a habit of bringing food as souvenirs from Batam. However, tourists and local people sometimes have difficulty in finding the location of stores that sell food souvenirs. This study aims to develop a Geographic Information System application that maps the location of gift shops in Batam. The result of this study is web-based GIS applications, which uses Google Maps API to display maps and retrieve store location coordinates. Through the application, the tourist can be helped in finding the location of souvenir shops in the city of Batam.
 Keywords: GSeographical Information System, Gift Shop, Google Maps API, Web based GIS.

Use of geographical information system (GIS) application in public libraries

PurposeThe purpose of this study is to describe the role of geographical information system (GIS) in public libraries. The study shed light on various functions of GIS in the public library scenario. It further elaborates on the scope of GIS, its functions and the multiple challenges faced by library staff in implementation in public library.Design/methodology/approachA qualitative study was conducted by exploring articles published in top databases like Elsevier, Taylor and Francis, SpringerLink, Google Scholar, etc. The study reveals that GIS has been part of multiple businesses for the past few years, and its role is expanding at an alarming rate in public libraries for the past 10 years.FindingsThe study reveals that GIS deals with the geospatial characteristics of the data set, and the public library’s prime role is to visualize large quantities of disparate data in one data set.Originality/valueThe study will further wider the scope of the GIS in public library scenario. Experts in GIS and library field will get an extensive information and optimum benefits by reading this paper.

Aplikasi Sistem Informasi Geografis untuk Identifikasi Potensi dan Kerentanan Longsor di Kabupaten Bondowoso Provinsi Jawa Timur

Application of Geographic Information System for Identification of Landslide Potential and Susceptibility in Bondowoso Regency. The study was to determine the potential and susceptibility of landslides, as well as to determine the distribution of landslide points in Bondowoso Regency. This research uses a survey and scoring method which refers to PSBA UGM (2001) and BNPB (2012). The parameters used in this study were five, namely soil movement, presipitation, soil type, slope, and land use. The landslide susceptibility level is obtained by overlapping the landslide potential map and the vital land use map. The class of landslide potential in Bondowoso Regency is categorized into areas with no potential to high landslide potential. The class with no potential spread in the lowlands is 27,906.57 ha or 18.27%, the low potential class is 60,391.34 ha or 39.53%, the medium potential class is 43,803.54 ha or 28.67% and the high potential class covering an area of 20,685.32 ha or 13.54% of the total area of Bondowoso Regency. Areas with high landslide susceptibility are Grujugan, Klabang, Maesan, Pakem, and Sempol sub-districts with 50 landslide points found in the sub-district.

Inventory of River Basin Flood Events for Drainage System Examination Using Multi-Temporal Composite Remote Sensing Data

Palembang City is divided into two regions by the Musi river, and there are 114 tributaries streamed within Palembang City, with 31.58% located in the Seberang Ilir region and 68.42% in the Seberang Ulu region. In the lowland topography of Palembang City, with most of the region below 5 m above mean sea level, flooding becomes repetitive. This paper examines the flooded area within the Bendung river basin using multi-temporal composite remote sensing radar data from Sentinel 1. Flood events in November 2018 and December 2021 were selected. The flood extent and affected populations will be calculated using Google Earth Engine (GEE) and Geographic Information System (GIS) application. In this study, flood extent was delineated and compared for different digital elevation models. It is found that the threshold value, the DEM, and the availability of radar data in conjunction with the flood event will better delineate the affected area to the flood. The DEM contributed a 37.5% to 83% difference in the delineated area calculation. The script in the GEE is customizable for different areas of interest and can be applied to different areas with adjustments to the threshold value that should be a minimum of 1.0 or higher.

Spatial analysis of antimicrobial resistance in the environment. A systematic review

Antimicrobial resistance (AMR) is a global major health concern. Spatial analysis is considered an invaluable method in health studies. Therefore, we explored the usage of spatial analysis in Geographic Information Systems (GIS) in studies on AMR in the environment. This systematic review is based on database searches, a content analysis, ranking of the included studies according to the preference ranking organization method for enrichment evaluations (PROMETHEE) and estimation of data points per km2. Initial database searches resulted in 524 records after removal of duplicates. After the last stage of full text screening, 13 greatly heterogeneous articles with diverse study origins, methods and design remained. In the majority of studies, the data density was considerably less than one sampling site per km2 but exceeded 1,000 sites per km2 in one study. The results of the content analysis and ranking showed a variation between studies that primarily used spatial analysis and those that used spatial analysis as a sec ondary method. We identified two distinct groups of GIS methods. The first was focused on sample collection and laboratory testing, with GIS as supporting method. The second group used overlay analysis as the primary method to combine datasets in a map. In one case, both methods were combined. The low number of articles that met our inclusion criteria highlights a research gap. Based on the findings of this study we encourage application of GIS to its full potential in studies of AMR in the environment.

Geodata. Spatial data in metadata creation

In recent years the demand for geoinformation and the use of GIS (Geographic Information System) applications by different subject areas has increased enormously. Libraries are attempting to respond to these needs through the provision of adequately developed spatio-temporal information, the digitisation of historical cartographic and geographic collections, and the enrichment of the metadata associated with digital resources with geodata that allow for proper georeferencing. After defining some key concepts related to the assignment of terrestrial geocoordinates in contemporary times, the article illustrates the potential of their use in the bibliographical domain with particular emphasis on their use by German-speaking libraries.

Water Sowing and harvesting application for water management on the slopes of a volcano

The present study aims to elaborate a hydrogeological characterisation in the Water Sowing and Harvesting context. The study is focused on rural parishes in the Ecuadorian Andes that, despite their proximity to snow sources (Chimborazo glaciers), need more supply of this resource, to satisfy the demand of a population of 70,466 inhabitants. The study is based on hydrology and geomorphological analysis, a geophysical exploration, and a definition of water management strategies. The application of non-destructive geophysical methods and Geographic Information Systems support the hydrogeological study and the proposal of strategies for sustainable water management on the slopes of the Chimborazo volcano. An aquifer potential was identified (sand, gravel and fractured porphyritic andesites) with resistivity values between 51.3 and 157 Ω m at an approximate depth of 30 m from the geophysical characterisation addressed. This potential saturated zone is on the southern slope of the Chimborazo volcano within the hydrographic watershed, with favourable drainage networks for water accumulation. The aquifer shows a high-water saturation level but uncontrolled losses. As a consequence of these characteristics, alternatives for managing water resources are proposed, such as wells construction, using Water Sowing and Harvesting system methods (“camellones”) based on Nature-Based Solutions, dam construction and environmental education. The different proposals are associated with the four sustainability axes of Brundtland (economic, social, environmental and cultural axis) and contribute to the sixth objective of the Sustainable Development Goal 2030 Agenda.

INCORPORATING GEOGRAPHIC INFORMATION TECHNOLOGIES INTO A FRAMEWORK FOR BIOLOGICAL DIVERSITY CONSERVATION AND PREVENTING BIOLOGICAL THREATS TO LANDSCAPES

As the long-term sustainability of both natural and artificial phytocenoses is under serious threat from biological invaders, the global community is working hard to prevent invasions and rapidly eradicate or halt the spread of invasive species. By tracking the actual spread of “invaders” or predicting areas at risk of invasion, geographic information systems (GIS) and remote sensing of the Earth (RSE) can significantly assist the process of ensuring biosecurity at the state level. Research has shown the potential of remote sensing and GIS applications for invasive species mapping and modeling, even though it is currently restricted to a small number of taxa. This article gives examples of how GIS and RSE can be used to track invasive species like Utricularia australis R. br. and Lemna aequinoctialis Welw. To describe the distribution of species, current Internet databases of species distribution and the author’s own research were used. It also talks about promising ways to find and track the spread of invasive species, like using NDVI indices, chlorophyll and xanthophyll content to find changes in regional biodiversity, some problems with finding changes in biodiversity in agricultural landscapes, and mapping invasion risk. The study also demonstrates how GIS technology may be used to identify agricultural landscape biodiversity using radiometric space data from Sentinel 1, followed by a verification of the findings. The prospects of spatial, spectral, and temporal analysis of images are determined, as they make it possible to outline the boundaries of ecosystems, biometric characteristics of species, characteristics of their current and potential areas of distribution, etc.

Diagnosis and Qualitative Estimation of the Hydric Erosion in Watershed of Talangaï (Brazzaville) by the Application of Geographical Information System (GIS)

This research work exposes the results of our study about the cartographic and the qualitative estimation of the hydric erosion of the watershed of talangaï (Brazzaville) following the PAP/RAC approach, tele detection’s data and the geographical information system in order to elaborate thematic cards by enlightening erosion phenomenon. In this watershed of talangaï, this phenomenon of erosion became recurrent and causes more and more spectacular and worrings. As a matter of fact, except climatic aspects of the study zone, this watershed is characterized by a large irregularity of precipitations, of steep slope, and a weak vegetable coverage; which renders it very vulnerable to the erosion. Thus, after the analysis and the treatment of collected data, from the geographical information system (GIS), the study shows that 65% of zone of study present a weak and average erodibility and 35% of a high and the highest erodibility. Likewise, the descriptive cartography of different forms of erosions shows that ravine surface and the erosion in table-cloth are the most current. Also, the consolidated card of erosion states shows in a qualitative way that soil loss in the zone of study is in relationship with its geomorphology. In short, after combining different cards of principle erosive states, a synthesis has been done producing the consolidated card of these states (Integration approach). All these unfavorable conditions; slopes; geomorphology; erodibility; friability of soils, vegetal covert …), triggering of the catastrophe about erosive phenomenon are fulfilled. Thus, the obtained results allow to identify zones which are the most concerned, and the most vulnerable to hydric erosions.

The Implementation of the Mangrove Quality Index: A Way to Overcome Overestimation and Classification Concerns in Detecting Mangrove Forest Cover

The increasing applications of Geographic Information Systems (GIS) and Remote Sensing (RS) for mapping, predicting, and monitoring are practical for sustainable mangrove ecosystem management. This study evaluated various geospatial techniques for detecting healthy mangroves on the eastern coast of Sri Lanka, including single spectral indices, supervised/unsupervised classification, and developed methods using Landsat data. The use of medium-resolution satellite data and the uniqueness of the mangrove ecosystem are generally involved in discriminating healthy mangroves from non-mangrove areas. This study focused on detecting degraded narrow patches of mangroves on the Eastern coast of Sri Lanka using Landsat 8 remote sensing data and five vegetation indices. The accuracy of the results was assessed using randomly generated points. The study used ArcGIS Desktop software for processing, analyzing, and integrating spatial data to meet the research objectives. The mangroves were detected using Landsat 8 OLI satellite images from 2018 and 2021. The results showed high overestimation/underestimation and misclassification of mangroves, thus applying Mangrove Quality Index (MQI). Findings of MQI provide insights into overall mangrove health and identify three degradation classes of mangroves on the Eastern coast of Sri Lanka. The application of MQI in well-developed and degraded mangrove ecosystems merits further investigations, which provide reliable information for conservation priorities.

PEMETAAN TABURAN LEKSIKAL DIALEK MUAR: SATU KAJIAN RINTIS

Dialect is one of the language variations spoken by the community in a certain area to interact with each other. Although the use of dialects in a state does exist, the diversity of sub-dialects is still visible in the eyes of most people. The city of Muar, which is located in the state of Johor, is one of the regions that thrives on the existence of various sub-dialects. With the help of the Geographic Information System (GIS) application, this study focuses on identifying the spread of lexical variants of the Malay dialects found in Lenga, Bukit Kepong and Gombang and further describes the spread factors. This study fully uses the field research method involving a total of six study informants and 60 study respondents. The findings of this study show as many as six lexicals with different variant usage while there are nine lexicals that have the same dialect of use in Lenga, Gombang and Bukit Kepong. In addition, this study also shows that there are three factors that spread the variant between these three areas, among them demarcation, landform and space (spatial) and migration. As a result, the implementation of this study proves that the variety of variants in the three areas located in the Muar district brings uniqueness and becomes a heritage and a symbol of pride of the local community. Because the current study serves as a preliminary research on the Muar dialect mapping, the analysis of this study is done at the level of descriptive explanation. Researchers also did not focus on specific lexicons in lexical distribution mapping. Therefore, further studies are suggested to focus on specific lexicons to show the speech variants of the local dialect. Subsequent studies are also recommended not only to focus on lexical distribution mapping but also to present the lexical distribution through the Isogloss Map used.

Preface

The rapid development of Geographic Information System (GIS) and remote sensing technologies have provided opportunities for GIS and remote sensing applications to be integrated into various practical fields over the past decades. Especially, GIS and remote sensing have led to significant breakthroughs in research related to natural resources, environment, disaster risk, geospatial databases, land use change and urbanization. In that context, The National Conference on GIS Application 2022: GIS and Remote Sensing Applications for Environment and Resource Management was held at the Vietnam National University Ho Chi Minh City - University of Science (VNU-HCM) during 11-12 November, 2022. The major objectives of the conference are to create a symposium for scientists, scholars, managers and stakeholders to exchange their research achievements, applications of GIS and remote sensing technologies in various fields of environmental and natural resource management as well as to propose development orientations for GIS and remote sensing technologies in the future.With a great privilege, we would like to present IOP Conference Series: Earth and Environmental Science to readers. After rigorous reviews, thirty papers from the conference were selected to publish in this special issue. These papers represented cutting-edge research on a variety of subjects, including (a) agriculture and climate change; (b) environmental management; (c) geospatial database analysis; (d) land use change; and (e) natural resources management.We appreciate the support provided by the Vietnam National University Ho Chi Minh City (VNUHCM) and the University of Science (VNUHCM-US) for the conference. We would like to express our gratitude to all conference participants for their papers and attendance. We also want to express our appreciation and gratitude to all the reviewers who have assisted us in maintain the quality reputation of the articles submitted for publication in the IOP proceedings. Finally, we would like to give special thanks to the conference organizer and to all others whose contributions made the publication of the special issue.On behalf of editor boardAssoc. Prof. Dao Nguyen KhoiFaculty of Environment, University of ScienceVietnam National University Ho Chi Minh CityList of Organizing committee, Secretariat, Editor board, List of reviewers are available in this pdf.

Women’s health service access and associated factors in Ethiopia: application of geographical information system and multilevel analysis

ObjectivesWomen’s access to healthcare services is challenged by various factors. This study aimed to assess women’s health service access and identify associated factors.MethodsA cross-sectional study design with a two-stage stratified...

Application of water quality index (WQI) and geographic information system (GIS) to assess water quality during rainy season 2020 in O Loan Lagoon, Phu Yen Province, Vietnam

The research studies the water quality of O Loan Lagoon, which has been active in aquaculture in recent years. Based on the water quality index (WQI) calculations of 15 water samples collected in 3 periods from September 2020 to October 2020, spatial and temporary polluted distribution maps were established using ArcGIS software. The results indicate that the WQI value ranges from 1 to 80, reaching an average of 58. This estimation shows that the water quality of O Loan Lagoon is only average during the rainy season in 2020. Water quality distribution maps show that the southern region's water quality is poorer than the rest. This result demonstrates the negative impacts of aquaculture activities on the coastal lagoon's water environment, and local authorities need appropriate solutions for sustainable aquaculture activities in this area.

Exploring the Use of Geographic Information Systems to Identify Spatial Patterns of Remote UAS Pilots and Possible National Airspace Risk

The proliferation of Unmanned Aircraft Systems (UAS) in the United States National Airspace System (NAS) has resulted in an increasing number of close encounters between manned aircraft and UAS, which correlates with the increasing number of remote pilots in the Federal Aviation Administration (FAA) airmen database. This research explores spatial patterns of registered airmen using Geographic Information Systems (GIS) analyses that provide notable spatial distribution patterns of pilots and how they relate to UAS sightings and airspace categories. The application of GIS to these aviation data may assist safety practitioners with identifying geographic patterns, areas of higher risk, and ultimately improve safety management. The authors analyzed publicly available airmen data to examine spatial distribution patterns, data correlations, and inferences. Airmen addresses were first geocoded into ArcPro 10.4 GIS software as a vector data layer containing attribute values of the database. The spatial analysis tool set was then utilized to establish clustering, density patterns, and spatial relationships between various categories of registered airmen. These density analyses revealed implicitly that commercial registered pilots tend to have the highest clustering near major commercial use controlled airspace, yet registered remote (UAS) pilots are also clustered in these and other densely populated areas. UAS sighting data were also geocoded using zip code values of the reported city to potentially correlate UAS sighting with registered remote pilots, yet the lack of spatial precision in the database made establishing any type of spatial relationship ineffective. The implicit spatial relationships between commercial and remote registered pilots revealed further research is needed to integrate UAS safely and effectively into the national airspace. The poor quality of UAS sighting data also demonstrates the need to better utilize GIS to monitor and track UAS flights within the context of an Unmanned Traffic Management System.

Physical Land Suitability Assessment for Tea Cultivation Using GIS-Based Multi-Criteria Approach at Dabus Basin of Oromia Region, Southwest Ethiopia

Tea is economically important export commodity for Ethiopia Predicting the physical land suitability of tea is vital to avoid a sightless expansion of tea plantations and significant to recognize the potential suitable area for tea to disseminate of tea plantations in the country. Land suitability analysis is pre-request for assigning specific land for specific purposes. The study incorporate applications of Geographic Information System, Remote Sensing and Analytical Hierarchical Process (AHP) to allocate suitability weights to criteria that influence tea plant's growth to produce a predictive suitability map for its cultivation. Topography, Soils, climatic and land use features were included in the process as an important contributing factor for tea plant's growth. Each of the evaluations criteria layers were classified into four suitability class of not suitable, less suitable, suitable, and highly suitable. The results indicated that important influential factors affecting tea cultivation suitability evaluation were Rainfall (23.9%) followed by soils pH (18.05%) Elevation (12.72%), land use (10.79%), Aspect (9.07%), soils texture (6.96%), Slope (6.43), soils Depth (5.25%) temperature (3.42%) and drainage class (3.42%) respectively with 8.23% consistency index. The results revealed that the moderately suitable suitability class occupied the largest proportion of Land (84.92%), followed by highly suitable area (11.42%) and the unsuitable area (3.66%). the study area were precipitation, soil reaction, Altitude, Aspect and current Land use were identified as main limiting factors for Tea productions.