The Journal of Spatial Innovation Development

Google Earth Engine for Geospatial Analysis: A Conceptual of Applications and Potential for Research and Development

2025-09-02T12:48:11+07:00

This academic article explores the potential and applications of the Google Earth Engine (GEE) platform for large-scale geospatial data analysis. It analyzes the challenges posed by the rapid increase of Big Geospatial Data, which has made traditional desktop-based processing methods insufficient. The GEE platform, a Cloud Computing system developed by Google, solves this problem with three core features: a massive and readily available geospatial data catalog, parallel processing that significantly reduces the time for analyzing large datasets, and a code-based environment that provides flexibility and reproducibility.

A review of relevant literature and research highlights GEE's pivotal role in driving research and development across various fields, including land cover change monitoring, water resource management, precision agriculture, disaster management, and climate change studies. Although GEE is a powerful tool, it does have limitations to consider, such as the requirement for coding skills, reliance on a stable internet connection, and constraints on the spatial resolution of certain data types. In conclusion, GEE has the potential to become a key tool for advancing innovation in geoinformatics, and this article provides recommendations for future developments to enhance its efficiency and reduce barriers to use for a wider range of researchers and users.

Development of Internal Audit Report Status Tracking System: A Case Study of University of Phayao

2025-06-24T09:56:33+07:00

This research aims to: 1) design an internal audit report status tracking system, 2) develop the internal audit report status tracking system, and 3) evaluate the internal audit report status tracking system of the Internal Audit Unit at the University of Phayao. The research sample consisted of 12 purposively selected participants, categorized as follows: 1) six system users, including four internal auditors, one head of the Internal Audit Unit, and one executive; 2) three information system experts; and 3) three internal audit experts. The research instruments included three types of questionnaires: 1) a satisfaction assessment questionnaire, 2) an information system efficiency evaluation questionnaire, and 3) an innovation quality assessment questionnaire. Data analysis was conducted using mean, percentage, and standard deviation. The results revealed that users had the highest level of satisfaction (x̅ = 4.64, S.D. = 0.62). The efficiency of the information system was rated at the highest level (x̅ = 4.95, S.D. = 0.08), and the research innovation quality had an Index of Item-Objective Congruence (IOC) of 0.82. In conclusion, the internal audit report status tracking system of the Internal Audit Unit at the University of Phayao is a high-quality innovation suitable for internal audit operations and is effectively functional.

Development of Fall Detection System for Elderly with Computer Vision

2025-07-29T00:41:41+07:00

Elderly individuals are particularly susceptible to fall-related accidents, especially those living alone. This study proposes the development of a computer vision-based fall detection system designed to enhance personal safety through real-time monitoring. The system integrates indoor video surveillance using OpenCV and processes the captured frames via Media Pipe to extract and analyze human postures based on 33 skeletal landmark points. Fall detection is achieved by identifying abrupt downward movements toward the ground, measured in terms of both direction and duration.

Experimental simulations covering various fall scenarios—namely forward, backward, leftward, and rightward—demonstrated that the system achieved an average detection accuracy of 90%. These findings underscore the system’s potential to reduce the risk of injury among elderly individuals by enabling timely intervention in the event of a fall. It is anticipated that the outcomes of this research will contribute to the advancement of intelligent fall detection technologies and provide a foundation for future developments in elderly care and health monitoring systems.

Spatial Information for Border Health System Management in Stateless Persons and Migrant Working Group

2025-08-01T09:12:11+07:00

This study aims to examine the situation and context of stateless persons and cross-border migrants in the Thai–Lao border area, Tha Li District, Loei Province, who face significant limitations in accessing rights and healthcare services. The research employed participatory surveys to collect data on living conditions and challenges of the target population, combined with geospatial data collection of residential locations using the Global Navigation Satellite System (GNSS). A spatial information system was developed through Geographic Information System (GIS) technology to analyze population numbers, spatial distribution, and to build a geospatial database supporting decision-making in border health management.

The study found that Tha Li District, Loei Province, is a border town adjacent to Kaen Thao district, in Xayaburi Province, Lao PDR, with communities settled along the Hueang River, a small border river that can be easily crossed. The survey identified 991 stateless persons. The developed spatial information system was able to visualize household locations and distribution, along with in-depth analyses highlighting key issues: 70.74% of the population are female, 66.30% have never returned to their country of origin, and 34.71% lack identity documents-factors that restrict access to rights and healthcare services. Moreover, linking positional data with satellite imagery provided concrete insights that support precise decision-making in defining target areas, monitoring, and managing border health. This includes population classification by residence, gender, age, document type, health conditions, and trust networks.

An urgent concern is the lack of knowledge and understanding among this group regarding the processes of legal status development and their entitled benefits, particularly the right to healthcare in public service units. Given that most of the population are women and elderly persons-groups at higher risk of health problems and chronic diseases—clear and systematic measures are needed from relevant agencies, especially public health service providers, to ensure continuous and sustainable solutions.

A Comparative Study of Academic Achievement and Satisfaction between using the Cisco Packet Tracer Simulator and Real Laboratory Study

2025-09-02T12:49:36+07:00

This research presents a comparative study on the learning achievement and satisfaction between using the Cisco Packet Tracer simulation program and practicing with real equipment. The research was conducted with a sample group of 60 students from the Faculty of Information and Communication Technology, University of Phayao, academic year 2022. They were divided into two groups of 30 students each to learn through the simulation program and practice with real equipment. The results of the study found that the group learning through the simulation program showed a significantly higher level of learning satisfaction than the group practicing with real equipment at the 0.05 level. The simulation group had a mean satisfaction score of 3.82 and a standard deviation of 0.74, while the group practicing with real equipment had a mean satisfaction score of 3.64 and a standard deviation of 0.65. The results of this study reflect that the use of simulation programs in teaching can effectively create satisfaction and enhance the learning experience of students in the field of information technology.

Development of a Fire Incident Reporting System via Telegram Chatbot: A Case Study of the Disaster Prevention and Mitigation Division, Mae Suk Subdistrict Administrative Organization, Phayao Province

2025-06-26T09:24:05+07:00

The development of a fire incident reporting system via Telegram chatbot, with a case study of the Disaster Prevention and Mitigation Division, Mae Suk Subdistrict Administrative Organization, Phayao Province, was undertaken with two main objectives: (1) to design and develop a fire alert notification system through the Telegram chatbot application, and (2) to evaluate the satisfaction of both general users and system administrators regarding the system’s functionalities. The system is designed to enable the public to report fire incidents conveniently and rapidly, while allowing officials to receive information, monitor situations, and manage incidents efficiently. The developed system supports the collection of information from general users, including name, surname, phone number, incident location, and multimedia files such as photos or videos. This information is transmitted to relevant officials via Telegram, with interactive response buttons provided for officials to update the status of each incident. Technically, the system utilizes Google Apps Script as the main server to receive messages from Telegram via Webhook, process the data, and store all information in Google Sheets. The stored data can then be visualized in the form of reports or dashboards through Looker Studio, enabling officials and administrators to monitor and analyze statistical data effectively. Regarding user satisfaction, the evaluation revealed that users were highly satisfied with the system, with an overall mean score of 4.61 and a standard deviation of 0.52. When considering specific aspects, the mean scores for content quality, interface design and layout for Telegram usage, and practical application were 4.68, 4.59, and 4.56, respectively, with standard deviations of 0.50, 0.53, and 0.54. This system allows users to conveniently report incidents via chat, display the coordinates of the incident location, and assist officials in route planning. Additionally, it provides statistics on incident reports, such as the number of incidents per day, incident locations, or types of fire incidents, which are beneficial for enhancing the efficiency of fire incident management in the area.

Application of Geographic Information System for Spatial Data Analysis of Student Admissions and the Development of Educational Guidance Pathways in Northeastern Thailand: A Case Study of the School of Information and Communication Technology, University of Phayao

2025-06-04T15:32:16+07:00

This study aimed to analyze the spatial distribution of undergraduate admissions to the School of Information and Communication Technology, University of Phayao, and to develop an effective educational guidance route plan in Northeastern Thailand. The research applied Geographic Information System (GIS) technology and Network Analysis. The dataset comprised admission records from academic years 2011 to 2024, totaling 14 years. Spatial frequency analysis was conducted, and target schools were identified using the Simple Additive Weighting (SAW) method, based on two main factors: the number of admitted students from each school and the time period of their admissions. The results revealed 10 schools suitable for educational guidance activities. Additionally, three scenario-based route models were developed: (1) the shortest distance route covering 487 kilometers in 365 minutes, (2) the return-oriented route covering 589.08 kilometers in 442 minutes, and (3) the multimodal continuous route covering 477.8 kilometers in 358 minutes. The findings support strategic planning for targeted, efficient educational guidance under limited resources, and promote equitable access to higher education. This approach aligns with the goals of sustainable development and lifelong learning enhancement.

Assessment to Determine Urgent Plan Priorities Project to Reduce Greenhouse Gases in Phayao Province

2026-01-13T14:20:47+07:00

This study aimed to assess provincial-level greenhouse gas (GHG) emissions in Phayao Province. The 2019 GHG inventory was conducted at two reporting levels: Basic and Basic+. At the Basic level, total emissions were approximately 667,981 tons of carbon dioxide equivalent (tCO₂e) or about 1.41 tCO₂e per capita. At the more comprehensive Basic+ level, which involves more detailed and extensive data collection, total emissions reached 5,093,153 tCO₂e, equivalent to approximately 10.78 tCO₂e per capita, calculated based on the registered population of 472,356 in 2019 (Department of Provincial Administration, 2019). The main source of emissions in Phayao Province was the Agriculture, Forestry, and Other Land Use (AFOLU) sector, accounting for 86.82% of total emissions, followed by the waste management, energy, and transportation sectors, while no emissions from the industrial processes sector were reported in that year.

As most provincial GHG emissions were generated from land use and agricultural activities, Phayao Province developed a GHG reduction plan comprising 26 measures covering the energy, transportation, agriculture, and forestry sectors, with a target to reduce emissions by 422,380 tCO₂e by 2030. The implementation framework is divided into three phases: short-term measures focusing on low-cost and immediately actionable actions, such as replacing public lighting with LED bulbs and promoting energy conservation campaigns; medium-term measures emphasizing infrastructure investment and development, including solar rooftop installations, improved waste and wastewater management systems, and expansion of green areas; and long-term measures aiming at structural transformation, such as the development of clean energy public transportation systems and full-scale renewable energy utilization. The plan places particular emphasis on the agricultural sector by promoting safe and low-carbon agriculture under the Bio-Circular-Green (BCG) Economy model through reducing chemical use, strengthening farmers’ capacity, applying innovation and appropriate technologies, and establishing local cooperation networks, together with continuous monitoring and evaluation to ensure effective and tangible outcomes.

Design and Development of a Community-Based Digital Platform to Address Agricultural Machinery and Labor Booking Issues in Rice Farming Communities

2026-01-27T09:29:13+07:00

This research aims to design and develop a community-based digital platform for managing the reservation of agricultural equipment and labor, with an emphasis on resolving delays, improving coordination, and establishing a centralized system for accessing agricultural machinery services within local communities. These issues are frequently observed in rice cultivation practices at the reginal level. The platform facilitates the reservation of agricultural machinery, such as combine harvesters and rice transplanters, as well as the hiring agricultural labor for various farming tasks including transplanting, pesticide application, fertilization, and rice seed seeding.

The system is designed to provide real-time information on the availability of agricultural machinery and labor, enabling farmers to plan their operations more effectively and reducing errors caused by unstructured coordination. At the same time, the platform assists service providers in efficiently managing their resources through a flexible booking and scheduling management system that accommodates diverse community contexts.

The platform development process involves user interface design using Figma, application development using the Flutter framework with Dart as the primary programming language, and data management using Supabase. Supabase serves as an open-source backend platform for storing, processing, and managing booking data, supporting real-time system operations, and enhancing development flexibility. Currently, the platform is accessible via desktop computers. The evaluation in this study focuses on functional correctness and system readiness for practical deployment. Future work includes field implementation within community settings to assess the platform’s effectiveness and suitability for supporting sustainable agricultural development.

The Study of Farmers’ Decision to Reduce the Burning of Rice Residue, Phitsanulok and Sukhothai Provinces

2025-06-24T09:59:47+07:00

This study investigates the decision-making of rice farmers in Phitsanulok and Sukhothai provinces regarding the reduction of rice residue burning. Data were collected through questionnaires from 192 farmers and analyzed using descriptive and inferential statistics. The results revealed that access to irrigation, social conformity behavior, farm size, and income from rice cultivation significantly increased the likelihood of burning rice residues. In contrast, participation in agricultural programs organized by the Ministry of Agriculture and Cooperatives was associated with a decreased likelihood of burning. Farmers who received subsidies for plowing rice residues back into the soil were 18.41% more likely to reduce burning, while those who received microbial decomposition agents were 13.61% more likely to do so, compared to those who did not receive any support. The study also found that removing both measures could lead to a crowding-out effect, diminishing farmers' intrinsic motivation to reduce burning for the benefit of society. Therefore, it is recommended that the government continue subsidizing plowing costs, accelerate research and development of effective microbial agents, and encourage small-scale farmers to participate more actively in agricultural programs. Public awareness campaigns should also be promoted to emphasize the negative impacts of residue burning. Additionally, farmers should utilize agricultural machinery that facilitates residue management, plan their field operations efficiently, and integrate knowledge from government programs to maximize the household use of rice straw.