Application Of Geographic Information System Research Articles

SIGFIS: a Geographic Information System for Monitoring the Use of Water Resources in the State of Pernambuco

Objective: The objective is to develop a Geographic Information System for Monitoring (SIGFIS) for the oversight of water resource use in the State of Pernambuco, aiming to improve the efficiency of monitoring operations and water sustainability. Literature Review: The study is based on theories and applications of Geographic Information Systems (GIS) in water resource management. Method: The methodology includes an applied and descriptive study, with data collection from sources such as APAC, IBGE, and CPRM. Documental research methods and field surveys were used, along with geoprocessing. The data were standardized and integrated into a geographic database, with the creation of thematic maps and spatial analyses. Results and Discussion: The results include an improvement in the real-time monitoring capacity of water resources, allowing for a faster response to irregularities and optimization of monitoring resources. Research Implications: Practical implications include improving the efficiency of monitoring operations and APAC's response capacity, while theoretical implications reinforce the importance of GIS in water resource management. It is expected that SIGFIS will contribute to the formulation of more robust and scientifically-based public policies. Originality/Value: This study contributes to the literature by developing a specific GIS for the monitoring of water resources in Pernambuco, demonstrating the relevance of GIS technology in promoting water sustainability and improving environmental governance.

Application of Geographic Information System to Sensing Strength and Potentiality of Ecological Industrialization in China’s Huai River Ecological Economic Belt

Application of Geographic Information System to Sensing Strength and Potentiality of Ecological Industrialization in China’s Huai River Ecological Economic Belt

Analysis for an open-source library in database management systems

AbstractSpatial data management is crucial for applications like urban planning and environmental monitoring. While traditional relational databases are commonly used, they struggle with large and complex spatial data. NoSQL databases provide support for unstructured data and scalability. This article compares the performance and disk space usage of SQL Server (a relational database) and MongoDB (NoSQL database) using an open-source library. Experiments conducted with the OpenStreetMap dataset from Central America show that the MongoDB database outperformed the relational SQL Server database in most cases, offering practical advantages for spatial data management in Geographic Information System applications.

The Utilization of Geographic Information System for Damaged roads in Medan Selayang District

Medan Selayang District is one of the sub-districts with the most populous activity center in Medan City where there is transportation infrastructure in the form of highways with various conditions, both roads with stable and unstable conditions so that they are vulnerable to roads damage. This study aims to map the level of potential road damage and analyze the level of potential road damage in Medan Selayang District using the Geographic Information System (GIS) application. The method used in this study is a data collection and data processing method using Quantum GIS. Data processing methods are in the form of georeferencing and digitization, parameter appreciation and overlap or overlay. The parameters used include slope, rainfall, soil type, traffic volume and the availability of drainage channels. The result of this study is a map of the potential level of roads damage in Medan Selayang sub-district with 3 categories of levels namely low damage along 4,714 Km (20.01%), moderate damage along 13,922 Km (59.12%) and high damage along 4,916 Km (20.87%). The distribution of potential road damage levels in Medan Selayang sub-district spreads for each category of damage levels

Application of GIS and Artificial Intelligence in Military Operations: Prospects and Challenges

Geographic Information System (GIS) and Remote Sensing have been considered significant in the military due to their spatiality in nature. Recent military developments have seen various military institutions depending on spatial mapping tools, for the purpose of command, control, communication and coordination in military operations. In this study, the qualitativeanalytical method was used to illustrate the applications of GIS in military operations, drawing lessons from land based military developments from selected studies. An online survey was conducted to extract information from a sample of forty (40) students undertaking War Studies at the University of Zimbabwe, who were conveniently selected for the study. In-depth interviews were also done with two (2) military experts from the university. Data collected was analyzed using descriptive statistics and qualitative interpretation of recent developments in military GIS. The benefits of GIS and machine learning in military operations included access to information; improved data management; information dissemination; improved terrain analysis; object, target or pattern recognition; quick data processing algorithms; autonomous systems; and predictive analysis. The study also notes some challenges associated with GIS and machine learning in military operations include expensive to set up which constituted of respondents; training requirements; cyber-security; software issues; offensive in nature, as well as misinterpretation of situations. The study recommends the need for human-AI collaboration and the development of a regulatory framework at national, regional and international level in ensuring sustainable implementation of GIS technology in military operations.

GEOINFORMATION SUPPORT FOR DEMINING THE TERRITORIES OF THE KHARKIV REGION

Modern conflicts and military actions result in massive landmine laying, making them dangerous for civilians. After the completion of hostilities, there is an urgent need to clear these areas to restore human life and infrastructure. The article presents the application of geographic information systems (GIS) and databases for the inventory and management of explosive ordnance data in post-conflict areas using the example of the Kharkiv region. The paper explains the structure and functioning of the explosive ordnance database, designed to optimise the demining process and increase its efficiency and safety. The explosive object database receives information from various sources, including mobile groups of the State Emergency Service of Ukraine, the National Police, and other units. The primary tool for fixing the coordinates of explosive objects is GPS devices. The database contains information about the coordinates of unexploded ordnance, their type, condition, date of discovery, the group that discovered it, and other information. The database allows searching and filtering of explosive objects by various criteria, generating reports on the number and types of explosives found in different areas of the region. Also, it is possible to visualise the data from the database on maps to enhance understanding of the distribution of explosive objects. Using the database can significantly improve the planning and coordination of demining work, track the progress of demining, assess the resources required for demining, warn the civilian population about the danger, analyse risks, conduct statistical analysis, report to the authorities, and train sappers. Implementing such a database will allow optimising demining planning, increasing the safety of sappers, and accelerating the restoration of a safe life for the population. The technology’s adaptability also means it can be utilised in other post-conflict regions, highlighting its potential for broader application. This system underscores the importance of integrating modern technological solutions in addressing the challenges of post-conflict reconstruction and safety. Keywords: geographic information systems, database, explosive ordnance, demining, security, recovery.

GEOSPATIAL DEVELOPMENT OF TERRITORIAL COMMUNITIES: THEORETICAL PROVISIONS

Determining the geospatial development of territorial communities is a relevant issue. For the formation of geospatial development of territorial communities, directions of creation and use of geodatabases and opportunities and application of modern geographic information systems are of particular importance. The research reached the aim regarding the substantiation of theoretical approaches to determining the geospatial development of territorial communities. In this context, the study achieved the following objectives: generalising theoretical provisions regarding the definition of the geospatial development of territorial communities and highlighting theoretical approaches to the definition of the geospatial development of territorial communities. Distinguished theoretical approaches to the definition of geospatial development of territorial communities include: functional approach: characterised by directions of application of geoinformation systems and realisation of the formation and completion of stages of implementation of geospatial development of territorial communities; spatial approach: the main focus is on the spatial aspects of the development of territorial communities; urban planning approach: determining the influence of urban planning factors on the functioning of territorial communities to ensure geospatial development; regulatory approach: formation and application of regulatory support for geospatial development of territorial communities; security approach: singling out security factors affecting the geospatial development of territorial communities; systemic approach: defining geospatial development as a systemic category consisting of a set of factors, the formation and interaction of which is carried out based on methods and models, which allows for the formation of geospatial provision with the use of modern geoinformation tools to build a higher quality environment compared to the past state. It makes it possible to increase the effectiveness of the functioning of territorial communities and create a geospatial basis for making informed decisions regarding the use of the land and property complex as the main factor that ensures their development. Keywords: geospatial development, territorial communities, theoretical provisions, geographic information systems, systematic approach.

Unveiling Site Visibility: A Study of Farming Communities in the Magaliesberg Region, South Africa

This paper explores the historical and contemporary significance of visibility in human interactions with their environments, particularly in the context of archaeology and the application of geographic information systems (GIS) for visibility analysis. The study highlights the role of visibility analysis in investigating not only the physical visibility of features in landscapes but also the cultural significance associated with seeing or not seeing them. It draws from the ‘visibility relates’ principle, which argues that individuals tend to establish connections with visible entities. The focus is on comparing nineteenth-century urban settlements (Kaditshwene, Molokwane, and Marothodi) in the Magaliesberg region of South Africa, particularly examining the strategic positioning of kraals within these Sotho-Tswana farming communities. These settlements are some of the more popular Late Farming Communities (AD 1300–1840) in South Africa; hence, they have archaeological background and are among the few, if not the only ones, that have LiDAR data coverage. The findings reveal distinctions in visibility at both settlement and household scalar levels, with Kaditshwene standing out as different from Marothodi and Molokwane. This suggests that kraals were strategically located to be more or less visible based on specific settlement circumstances, such as attracting people from other communities and concerns about cattle theft. This study contributes to GIS approaches to archaeological sites and landscapes in Africa and calls for more extensive use of geospatial statistics in African archaeology.

Vertical Accuracy of Google Earth Data

Digital Elevation Models (DEMs) are an important data source used in many engineering and Geographic Information System (GIS) applications. This paper illustrates a strategy for creating a DEM by utilizing elevation data from Google Earth and evaluating the vertical positional accuracy of the generated DEM adopting a well-defined methodology. To ensure the accuracy of the elevation data obtained from Google Earth, a thorough evaluation was done in three diverse small districts of the northern shoreline in Egypt. The evaluation process involved determining the ground coordinates of reference points utilizing two surveying techniques: total station and Real-Time Kinematic (RTK) Global Positioning System (GPS) surveys. These coordinates were compared with the ones predicated by the DEM generated by putting into service Google Earth's elevation data. Furthermore, the vertical accuracy was assessed using Shuttle Radar Topographic Mission (SRTM) data of Google Earth collected at two different periods in 2015 and 2023. The vertical accuracy of the Google Earth data is detailed utilizing Mean Error (ME), Maximum Absolute Error (MAE), and Root Mean Square Error (RMSE). According to the results, Google Earth's elevation data accuracy remains consistent from 2015 to 2023, and refining SRTM data does not improve the vertical accuracy. The vertical accuracy of the total station survey surpasses the one of the RTK GPS survey, and the elevation accuracy of the RTK GPS survey decreases with increasing height difference. In addition, the vertical accuracy of DEMs was found to be sufficient for some engineering applications but not accurate enough for precise engineering studies. The accuracy achieved in small height difference terrain can be utilized to produce large-scale cadastral maps, city plans, or land use maps. Finally, the elevation data offered by Google Earth can be utilized for preliminary studies at a low cost. However, to ensure the accuracy of these data, it is recommended that users compare them with reference data before implementation.

Navigating urban complexity: The role of GIS in spatial planning and urban development

This paper explores the transformative impact of Geographic Information Systems (GIS) in urban planning and architecture. It delves into various applications of GIS, including urban layout and design, traffic flow management, environmental impact assessments, infrastructure and utility management, and historical and cultural preservation. The challenges of implementing GIS, such as data accuracy, interoperability, and the need for specialized training, are examined. Additionally, the paper discusses the future of GIS in urban development, highlighting technological advancements, integration with smart city concepts, and the importance of policy and governance. Through comprehensive analysis, this study underscores the significance of GIS as a pivotal tool in creating sustainable, efficient, and resilient urban spaces

Estimation of potential carbon sequestration in Thai reforestation from mining, based on the integrated spatial analysis

Mining, an activity that dates to the earliest stages of human civilization, has played a vital role in fulfilling human requirements for an extended period of time. Nevertheless, it is worth noting that this particular activity accounts for a significant proportion, ranging from 4% to 7% of the overall world greenhouse gas emissions. These emissions mostly consist of carbon dioxide, methane, and nitrogen oxides, which are released because of fuel burning, on-site energy generation, and many other sources. The mining industry, as a constituent of industrial process and product use (IPPU) sector in Thailand, makes a substantial contribution to these emissions. Thailand is now engaged in the implementation of carbon sequestration strategies, specifically focusing on the reclamation and replanting of post-mining zones. This initiative aims to tackle the various issues associated with small-scale operations within the country’s mining sector. The objective of this study is to analyse the carbon sequestration potential of Thailand’s mining area through the utilization of satellite pictures obtained from LANDSAT 8 OLI and Geographic Information System (GIS) applications. This study assesses the present carbon storage capacity, establishes the appropriate carbon pricing, and investigates the potential for reforestation in mining areas inside the nation. Based on the findings, it is evident that the northern region of Thailand has the most substantial potential for carbon sequestration, mostly due to the presence of vegetated land. Furthermore, it is projected that the overall carbon sequestration capacity in Thailand will amount to 14.68 MtCO2e in 2023 and 28.02 MtCO2e in 2030.

Pemanfaatan Sig Untuk Untuk Mengurangi Resiko Bencana Banjir Di Kota Demak

The application of Geographic Information Systems (SIG) has become an important tool in combating the risk of flood disasters in many areas, including Demak City. This research aims to explore and evaluate the possible benefits of implementing SIG to reduce the danger of flooding in Demak City. The study approaches used include stakeholder interviews, field surveys, and geographic data analysis. The research results show how useful SIG is for creating early warning systems, identifying air flow patterns, and mapping areas vulnerable to flooding. The use of SIG also enables improved coordination of flood mitigation and management among various interconnected entities. This study makes a significant contribution to our understanding of the function of geospatial information technology in disaster management and provides useful insights for stakeholders to create more effective methods for mitigating flood hazards in Demak City.

Enhancing integrated resource management through remote sensing and GIS

Integrated Resource Management plays a crucial role in sustainable development by ensuring efficient allocation and utilization of natural resources. Remote Sensing (RS) and Geographic Information System (GIS) have emerged as powerful tools for collecting, analyzing, and managing spatial data, enabling comprehensive and integrated decision-making processes. This review article uniquely focuses on Integrated Resource Management (IRM) and its role in sustainable development. It specifically examines the application of RS and GIS in IRM across various resource management domains. The article stands out for its comprehensive coverage of the benefits, challenges, and future directions of this integrated approach.

Application of GIS in Evaluating Suitable Clam Farming Site in Vembanad Lake, India

The present study identifies and quantifies appropriate sites for black clam farming in the Vembanad Lake using a geographical information system (GIS). The black clam, Villorita cpyrinoides, is the most important clam landed in India. Despite being a candidate species for aquaculture, the trials on farming of clams are very limited. The aim of this study was to select the most suitable sites for clam farming in Vembanad Lake based on the use of GIS-based models. For this, the importance of soil quality, water quality and infrastructure facilities were accessed using an analytical hierarchical process. The site suitability map was prepared using each attribute and divided into four classes, such as most suitable, moderately suitable, least suitable and poor. Water quality is found to play a major role (54%) compared to soil quality (24%) and infrastructure facilities (22%) for development of clam farms in Vembanad Lake. Salinity registered the highest importance (0.21) for the water quality suitability map as compared to other parameters like pH and dissolved oxygen. The total area covered under this study was 6471 ha out of which, 3121 ha (48%) was identified as most suitable and of the remaining 3350 ha, 1804 ha (28%) was identified as moderately suitable, 946 ha (15%) was identified as least suitable and 600 ha (9%) was identified as the poor site for clam farming in Vembanad Lake.

Preface

It is with great pleasure that we introduce the proceedings of The National Conference on GIS Application, hosted by the Vietnam National University of Agriculture on November 11-12, 2023. The conference, held under the theme “GIS Application: Digital transformation in natural resources and environmental management,” serves as a platform for the exchange of cutting-edge research and ideas within the dynamic landscape of Geographic Information Systems (GIS).In the context of Digital Transformation and Industry 4.0, this conference stands as a pivotal gathering aimed at exploring and leveraging GIS technologies for the sustainable management of natural resources and the environment. The event encompasses 8 sessions, each dedicated to a specific facet of GIS application, ranging from environmental and natural resource management to healthcare and urban infrastructure.The diverse array of sessions includes: GIS, GPS, and Remote Sensing in environmental and natural resources management; GIS, GPS, and Remote Sensing in land management, urban management, and infrastructure; GIS, GPS, and Remote Sensing in Climate Change research for natural disaster prevention and mitigation; GIS, GPS, and Remote Sensing in agriculture, forestry, and aquaculture; GIS and GPS in state management; GIS, GPS, and Remote Sensing in the field of medicine and public health care; GIS and GPS in water supply and drainage management and urban works; Artificial intelligence (AI), Big Data in the field of GIS.The response to the conference was overwhelming, with over 100 submitted papers reflecting the dedication and enthusiasm of researchers in the GIS community. Following a meticulous review process on the Easychair and Morressier platforms, 28 outstanding papers have been selected for publication in the IOP Conference Series: Earth and Environmental Science.We extend our sincere gratitude to all contributors, reviewers, and participants who have contributed to the success of this conference. It is our hope that these proceedings will serve as a valuable resource and inspire further advancements in GIS application for the betterment of our natural environment and resource management practices.We wish you an insightful and fruitful exploration of the diverse research presented in these proceedings.Sincerely,On behalf of editor boardProf. Dr. Nguyen Kim LoiDepartment of GIS and Natural ResourcesFaculty of Environment and Natural ResourcesNong Lam University, Ho Chi Minh CityVIETNAMList of Editor board is available in this Pdf.

Application of GIS in land unit mapping and evaluation of land suitability for agriculture in Uong Bi district – Quang Ninh province

This study aims to apply Geographic Information Systems (GIS) in land unit mapping and the evaluation of land suitability for agriculture in Uong Bi District, Quang Ninh Province, Vietnam. Given the complex and spontaneous changes in land usage driven by market fluctuations and environmental challenges, assessing land quality becomes crucial for sustainable agricultural development. Integrating soil, topographic, and climatic data within a GIS framework led to the creation of land unit maps for 40 different units in Uong Bi district, classified based on soil type, slope, soil depth, soil fertility, and hydrological conditions. The assessment of land suitability for seven main crops, including Litchi, Citrus, Dragon fruit, Cinnamon, Vegetables, Pine, and Macca, was conducted using the FAO framework for land evaluation. The results indicate that Pine and Cinamon have the highest arable area across all crops (with 15,895.40 ha and 15,502.40 ha respectively) while Vegetables show the lowest total arable area (4,063 ha). The findings provide valuable insights into the suitability of land for specific crops, facilitating informed decision-making to optimize land use and improve agricultural production.

Development of Soil Quality Databases and Land Potential Assessment Using GIS: A Case Study of Lao Cai Province, Vietnam

The utilization of Geographic Information Systems (GIS), particularly the Mapinfo software, is indispensable in the establishment of a land quality and land potential database encompassing each land parcel within Lao Cai province. Through a multifaceted approach involving data collection techniques, field surveys, data analysis, and the creation of both spatial and attribute databases, the GIS application in Lao Cai province has successfully compiled a comprehensive dataset. This dataset encompasses a range of layers, including boundaries, administrative demarcations, land use statuses, survey points, soil types, slope characteristics, soil depth, irrigation patterns, climatic conditions, soil fertility data, and transportation and hydrological information. The amalgamation of this spatial data with attribute data yields a comprehensive repository featuring information on 405 units of agricultural land quality and potential, in addition to 65 aggregated non-agricultural land parcels. This combined dataset functions as the foundational land quality and potential database for Lao Cai province. Assessment outcomes for land quality and land potential throughout the entire province reveal that 51.42% of the land exhibits low quality, 35.06% demonstrates moderate quality, and 13.52% boasts high quality. In terms of land potential, 29.15% is categorized as having low potential, 44.88% as having moderate potential, and 25.97% as having high potential. Furthermore, the precise delineation of land quality and potential for each land parcel within the database effectively caters to the information retrieval needs of land administrators and stakeholders. This research also seeks to contribute to the standardization of land databases at both the provincial and national levels, thereby bolstering land management efforts within the context of globalization, development, and climate change adaptation.

Application of Geographic Information Systems (GIS) and the Practice of Public Administration

Geographic Information System (GIS) applications are tools that allow users to create interactive queries (user-created searches), analyse spatial information, edit data in maps and present the results of all these operations. This paper was particularly focused on the application of GIS in the practice of Public Administration. Public Administration is a branch of management sciences that studies how government organizations operate and how they make decisions. The complexity in achieving equitable distribution of government actions as well as implementation of such actions to the public requires a thorough analysis of costs and benefits. Many GIS tools could be useful to public administrators, such as measurement tools, mapping tools, spatial analysis tools, data capturing and management tools. Data management tools allow administrators to organize and manage large amounts of data. Therefore, GIS technology offers a framework for gathering and managing information and improving planning efforts in the public domain for effective service delivery. They are quite available at the disposal of Public Administration experts if they are to successfully meet the challenges surrounding the procedure of planning development.

Geostatistics and GIS as a Technique for Chemical Soil Properties Mapping

Soil properties play a fundamental role in agriculture, and understanding their spatial distribution is essential for effective land management and increasing agricultural productivity. This study focuses on the application of geostatistics and Geographic Information Systems (GIS) as techniques for mapping soil properties, in the case of the Mozambique Sugar cane company (ADM) in Mafambisse, in the province of Sofala, Mozambique. The central objective is to demonstrate how geostatistics and GIS can be used to characterize and map soil properties. The research was materialized using field surveys that estimated the pH in the field of several sampling points at different depths in the irrigated perimeter of the ADM. Geostatistics is applied, using methods such as kriging and variogram analysis, allowing the creation of continuous maps that represent soil properties in unsampled locations. GIS is an essential tool for integrating geostatistical data and creating accessible and informative maps. The results of this study indicate that the combination of geostatistics and GIS offers an effective approach for mapping soil properties. This knowledge is crucial for Mozambique sugar cane company, an important company in the sugar industry, to optimize its agricultural practices, increase productivity and minimize environmental impacts. Thus, offering solid bases for making informed and sustainable agricultural decisions, contributing to efficient agricultural development in Mozambique and other regions with similar challenges.

Application of geographic information systems for zoning tourism clusters in the Voronezh Region: economic effect

The article examines the economic effect of using geographic information systems (GIS) to create tourism clusters in regions, such as the Voronezh Region, and considers how this approach in the study opens up new opportunities for attracting tourists and increasing economic activity. The article analyzes how GIS contributes to the formation of tourism clusters in the region and what economic benefits this brings. A tourism cluster is an association of tourism enterprises, services, and infrastructure in a specific geographical area. GIS zoning of clusters opens the way to synergy and interaction among industry participants, which helps to increase the attractiveness of the region for tourists and raise the economic potential in the development of the hospitality sector.