Unmanned aerial vehicle (UAV) was utilized to determine fill height of earthwork construction project along a local road kilometer 16+675 to kilometer 17+275 in Nongthalay subdistrict, Muang district, Krabi province. The data processing was conducted on PIX4D and the heights were measured from point cloud generated from the UAV using QGIS software. The study compared elevation profiles obtained from UAV point cloud data with conventional leveling methods in the road construction project. The results revealed that elevation differences between the two methods ranged from 0.068 to 0.651 meter, with an average difference of 0.327 meter and a percentage difference of 1.06%. These differences exceeded the allowable error threshold of 0.010 meter recommended for leveling class III in road construction specifications. Consequently, the use of UAV technology for leveling in this scenario is questioned due to the significant disparities observed compared to conventional survey methods. Nevertheless, the accuracy of this method can be improved through strategies such as the integration of additional GCPs to enhance georeferencing precision, meticulous camera calibration, and careful consideration of UAV imagery resolution and flight altitude. Diligent planning is essential to ensure precise and reliable height determination. Incorporating UAV technology for elevation acquisition in road construction projects requires a thorough understanding of local road construction standards, project specifications, and design guidelines. These standards can vary by region and road classification, underscoring the importance of staying updated with the latest regulations to ensure accurate and compliant implementation.
{"title":"Utilizing Unmanned Aerial Vehicles (UAVs) for Earthwork Fill Height Determination in Road Construction","authors":"","doi":"10.52939/ijg.v19i9.2877","DOIUrl":"https://doi.org/10.52939/ijg.v19i9.2877","url":null,"abstract":"Unmanned aerial vehicle (UAV) was utilized to determine fill height of earthwork construction project along a local road kilometer 16+675 to kilometer 17+275 in Nongthalay subdistrict, Muang district, Krabi province. The data processing was conducted on PIX4D and the heights were measured from point cloud generated from the UAV using QGIS software. The study compared elevation profiles obtained from UAV point cloud data with conventional leveling methods in the road construction project. The results revealed that elevation differences between the two methods ranged from 0.068 to 0.651 meter, with an average difference of 0.327 meter and a percentage difference of 1.06%. These differences exceeded the allowable error threshold of 0.010 meter recommended for leveling class III in road construction specifications. Consequently, the use of UAV technology for leveling in this scenario is questioned due to the significant disparities observed compared to conventional survey methods. Nevertheless, the accuracy of this method can be improved through strategies such as the integration of additional GCPs to enhance georeferencing precision, meticulous camera calibration, and careful consideration of UAV imagery resolution and flight altitude. Diligent planning is essential to ensure precise and reliable height determination. Incorporating UAV technology for elevation acquisition in road construction projects requires a thorough understanding of local road construction standards, project specifications, and design guidelines. These standards can vary by region and road classification, underscoring the importance of staying updated with the latest regulations to ensure accurate and compliant implementation.  ","PeriodicalId":38707,"journal":{"name":"International Journal of Geoinformatics","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135510380","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Many places in Malaysia suffer from annual floods that sometimes affect the environment, properties, and infrastructures. In this contribution, we attempt to provide a flood information system through the development of a flood risk map. The study was conducted in Maran district from 2017 to 2021 with the available data of Digital Elevation Model (DEM), land use map, topographic map, rainfall intensity, and soil type. The Geographic Information System (GIS) was integrated with the Multi-Criteria Decision Analysis (MCDA) to analyze the potential flood risk area. The distribution of rainfall intensity in the study area is developed using the Inverse Distance Weighted (IDW) interpolation method. The Analytic Hierarchy Process (AHP) is used to determine the weight value of flood hazard criteria. In our study area, there are some natural factors that determine flood risk, such as land use criteria (41.55%), terrain slope (28.95%), rainfall intensity (16.93%), and soil type (12.58%). The value of the consistency ratio is less than 10%, showing that the assessment for each criterion is consistent. It was found that the study area is likely to be at risk of flooding because it has a low slope, has clayey soils, has little vegetation, and is subject to heavy rainfall.
{"title":"Evaluation of Flood Risk Map Development through GIS-Based Multi-Criteria Decision Analysis in Maran District, Pahang - Malaysia","authors":"","doi":"10.52939/ijg.v19i9.2873","DOIUrl":"https://doi.org/10.52939/ijg.v19i9.2873","url":null,"abstract":"Many places in Malaysia suffer from annual floods that sometimes affect the environment, properties, and infrastructures. In this contribution, we attempt to provide a flood information system through the development of a flood risk map. The study was conducted in Maran district from 2017 to 2021 with the available data of Digital Elevation Model (DEM), land use map, topographic map, rainfall intensity, and soil type. The Geographic Information System (GIS) was integrated with the Multi-Criteria Decision Analysis (MCDA) to analyze the potential flood risk area. The distribution of rainfall intensity in the study area is developed using the Inverse Distance Weighted (IDW) interpolation method. The Analytic Hierarchy Process (AHP) is used to determine the weight value of flood hazard criteria. In our study area, there are some natural factors that determine flood risk, such as land use criteria (41.55%), terrain slope (28.95%), rainfall intensity (16.93%), and soil type (12.58%). The value of the consistency ratio is less than 10%, showing that the assessment for each criterion is consistent. It was found that the study area is likely to be at risk of flooding because it has a low slope, has clayey soils, has little vegetation, and is subject to heavy rainfall.","PeriodicalId":38707,"journal":{"name":"International Journal of Geoinformatics","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135510568","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Construction projects generally comprise three fundamental phases: design, implementation, and operation, which encompass a wide range of data types. Construction data encompasses a variety of documents, including topographic surveys, planning and design records, construction reports, and as-built documentation. In Vietnam, the development of Building Information Modeling (BIM) offers promise for managing design and construction data. However, challenges persist in effectively managing and sharing attribute data throughout a construction project's entire lifecycle. This study presents a solution that integrates Geographic Information Systems (GIS) to establish and facilitate the efficient sharing of building data information among pertinent stakeholders. The research has implemented a data system for the H3 lecture hall at Hanoi University of Civil Engineering's campus, encompassing a 3D map database of the entire area, 3D design model data, and associated attribute data. The management of building data for construction projects entails the establishment of geospatial data processing procedures, attribute data systems, and the development of 3D model solutions using the ArcGIS Pro platform. The data is presented and shared through the ArcGIS Online platform, resulting in the creation of a web map designed to enhance the effective management and sharing of construction data.
{"title":"Applying GIS and Geospatial Measurement Technologies in Construction Data Management in Vietnam: A Case Study of Hanoi University of Civil Engineering’s Campus","authors":"","doi":"10.52939/ijg.v19i9.2879","DOIUrl":"https://doi.org/10.52939/ijg.v19i9.2879","url":null,"abstract":"Construction projects generally comprise three fundamental phases: design, implementation, and operation, which encompass a wide range of data types. Construction data encompasses a variety of documents, including topographic surveys, planning and design records, construction reports, and as-built documentation. In Vietnam, the development of Building Information Modeling (BIM) offers promise for managing design and construction data. However, challenges persist in effectively managing and sharing attribute data throughout a construction project's entire lifecycle. This study presents a solution that integrates Geographic Information Systems (GIS) to establish and facilitate the efficient sharing of building data information among pertinent stakeholders. The research has implemented a data system for the H3 lecture hall at Hanoi University of Civil Engineering's campus, encompassing a 3D map database of the entire area, 3D design model data, and associated attribute data. The management of building data for construction projects entails the establishment of geospatial data processing procedures, attribute data systems, and the development of 3D model solutions using the ArcGIS Pro platform. The data is presented and shared through the ArcGIS Online platform, resulting in the creation of a web map designed to enhance the effective management and sharing of construction data.","PeriodicalId":38707,"journal":{"name":"International Journal of Geoinformatics","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135515939","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Urbanization is a contributing factor to global warming, as asphalt, concrete, and other light-absorbing materials replace vegetated areas, causing an increase in Land Surface Temperature (LST) and creating Surface Urban Heat Islands (SUHI). Although thermal satellite imagery has been a powerful tool in mapping LST and SUHI spatio-temporal changes, the number of studies in Africa, including Egypt, remains limited. Thus, in this research, an automated model was developed in ArcGIS and used to map LST and SUHI and detect Urban Hot Spots (UHS) in Alexandria city, Egypt, using Landsat 8 time series (2013 to 2021). The results revealed an increase of 41.31% in urban areas and a decrease of 49.51% in agricultural areas, a change that was demonstrated by a decline in the Normalized Difference Vegetation Index (NDVI) from 0.84 in 2013 to 0.53 in 2021. Correspondingly, LST and SUHI displayed an increasing pattern, with the highest recorded values observed in 2021. Thus, this study showed the negative impact of urbanization on Alexandria city’s temperature – a city that is already facing a climate catastrophe because of the sea level rise resulting from climate change. Furthermore, the developed estimation model can be similarly useful for climate change researchers and decision makers.
{"title":"Optimal Route Determination Automation System for Covid-19 Medical Waste Disposal Based on 3D Building Modeling","authors":"","doi":"10.52939/ijg.v19i9.2885","DOIUrl":"https://doi.org/10.52939/ijg.v19i9.2885","url":null,"abstract":"Urbanization is a contributing factor to global warming, as asphalt, concrete, and other light-absorbing materials replace vegetated areas, causing an increase in Land Surface Temperature (LST) and creating Surface Urban Heat Islands (SUHI). Although thermal satellite imagery has been a powerful tool in mapping LST and SUHI spatio-temporal changes, the number of studies in Africa, including Egypt, remains limited. Thus, in this research, an automated model was developed in ArcGIS and used to map LST and SUHI and detect Urban Hot Spots (UHS) in Alexandria city, Egypt, using Landsat 8 time series (2013 to 2021). The results revealed an increase of 41.31% in urban areas and a decrease of 49.51% in agricultural areas, a change that was demonstrated by a decline in the Normalized Difference Vegetation Index (NDVI) from 0.84 in 2013 to 0.53 in 2021. Correspondingly, LST and SUHI displayed an increasing pattern, with the highest recorded values observed in 2021. Thus, this study showed the negative impact of urbanization on Alexandria city’s temperature – a city that is already facing a climate catastrophe because of the sea level rise resulting from climate change. Furthermore, the developed estimation model can be similarly useful for climate change researchers and decision makers.","PeriodicalId":38707,"journal":{"name":"International Journal of Geoinformatics","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135515942","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The reduction in surface solar radiation known as "Global Dimming" has significant repercussions for both human and ecological well-being. There is a need for further empirical evidence to better understand the extent of Global Dimming in Southeast Asia, particularly in Thailand. This study aims to examine Surface Solar Radiation (SSR) and Aerosol Optical Thickness (AOT) trends and their relationships before the 1990s and post-1990s using ground station data and satellite images to investigate land use of five provinces: Bangkok, Chiang Mai, Songkla, Rayong, and Kon Khen. AOT does not rise significantly annually, but in the central region during the summer, it increases with a significance level of 0.05, and March is the most significant monthly change. SSRavg trend was unchanged before the 1990s. After the 1990s, SSRavg decreased significantly in the central, northern, and eastern regions, with a significance level of 0.01, especially in winter. AOT correlates positively with surface temperature and negatively with SSR intensity and relative humidity. AOT is positively correlated with built-up cover types and negatively correlated with forest cover types (R2 values of 0.708). These findings reveal that Thailand is entering a global dimming; hence, managing land cover could lessen air pollution and help future preventative efforts.
{"title":"The Situation of Global Dimming in the Regional Major Cities of Thailand: Shedding Light on a Growing Concern","authors":"","doi":"10.52939/ijg.v19i9.2883","DOIUrl":"https://doi.org/10.52939/ijg.v19i9.2883","url":null,"abstract":"The reduction in surface solar radiation known as \"Global Dimming\" has significant repercussions for both human and ecological well-being. There is a need for further empirical evidence to better understand the extent of Global Dimming in Southeast Asia, particularly in Thailand. This study aims to examine Surface Solar Radiation (SSR) and Aerosol Optical Thickness (AOT) trends and their relationships before the 1990s and post-1990s using ground station data and satellite images to investigate land use of five provinces: Bangkok, Chiang Mai, Songkla, Rayong, and Kon Khen. AOT does not rise significantly annually, but in the central region during the summer, it increases with a significance level of 0.05, and March is the most significant monthly change. SSRavg trend was unchanged before the 1990s. After the 1990s, SSRavg decreased significantly in the central, northern, and eastern regions, with a significance level of 0.01, especially in winter. AOT correlates positively with surface temperature and negatively with SSR intensity and relative humidity. AOT is positively correlated with built-up cover types and negatively correlated with forest cover types (R2 values of 0.708). These findings reveal that Thailand is entering a global dimming; hence, managing land cover could lessen air pollution and help future preventative efforts.","PeriodicalId":38707,"journal":{"name":"International Journal of Geoinformatics","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135514509","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
This paper presents a framework for developing a lightweight WebGIS platform as a web map service for publishing and servicing cultural tourism information. The archaeological sites, history, and cultural arts in Pattani Province were used as case studies in this article. It incorporates various digital technologies to create digital archives in providing web-based information services, including geospatial databases, virtual tours and virtual reality, 3D models, and online cultural maps for tourism. The framework describes the necessary infrastructure based on open-source code that is specially developed and provides libraries with free software interoperability, which can be considered as a real-time data management facility and simple completion. It is a relatively low-cost but a reasonably efficient system that is very useful and suitable for local authorities and small organizations with budget constraints to be able to implement practical cultural heritage management for a digital tourism experience that can be displayed on computer equipment, smartphones, and VR headgear efficiently. Furthermore, it also offers a conceptual framework in disclosing future research directions.
{"title":"Integrated Framework for Virtual Tours and 3D Visualization of Cultural Tourism in Pattani, Thailand Based on WebGIS Platform","authors":"","doi":"10.52939/ijg.v19i9.2835","DOIUrl":"https://doi.org/10.52939/ijg.v19i9.2835","url":null,"abstract":"This paper presents a framework for developing a lightweight WebGIS platform as a web map service for publishing and servicing cultural tourism information. The archaeological sites, history, and cultural arts in Pattani Province were used as case studies in this article. It incorporates various digital technologies to create digital archives in providing web-based information services, including geospatial databases, virtual tours and virtual reality, 3D models, and online cultural maps for tourism. The framework describes the necessary infrastructure based on open-source code that is specially developed and provides libraries with free software interoperability, which can be considered as a real-time data management facility and simple completion. It is a relatively low-cost but a reasonably efficient system that is very useful and suitable for local authorities and small organizations with budget constraints to be able to implement practical cultural heritage management for a digital tourism experience that can be displayed on computer equipment, smartphones, and VR headgear efficiently. Furthermore, it also offers a conceptual framework in disclosing future research directions.","PeriodicalId":38707,"journal":{"name":"International Journal of Geoinformatics","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135705987","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
In the present research, the Land Surface Temperature (LST) has been calculated from Landsat 7 data of Jeju Island to understand the spatial distribution of temperature on the island which would be strongly related to the ecological characteristics of the island. The dates were selected based on seasons (winter and summer) March 12 and September 19, 2020, respectively. Results calculated from a thermal band of Landsat 7 revealed the temperature variations on the island. Winter temperature varies from -3.7 to 31 oC while the summer season temperature varies from 20.6 to 43.1 oC. The surface temperature was also calculated at elevations of 100m and 500m for both seasons. It was found that on 100 m elevation, in winter the North and South directions have the same temperature, comparatively, in summer the North direction has a 0.97 oC higher temperature than the South. The East direction showed a 0.55 oC higher temperature as compared to the West in winter but in the summer season the case was opposite and the West had a 1.46 oC higher surface temperature than the East. Interestingly at 100 m height in summer, the North, and West has also the same temperature (34.25 oC). In the second case, on 500 m height for all four directions, the LST was compared and results showed that the South has 0.58 and 1.52 oC higher temperatures in winter and summer seasons respectively from the North. On the contrary, the West has 3.33 and 0.5 oC higher temperatures than the East in winter and summer seasons respectively. It revealed that seasons and altitude have a great impact on the LST in different cardinal directions of the island. From the results, it can be assumed that the island's ecological diversity would be strongly related to the geographical distribution of temperature.
{"title":"Elevation-Wise and Direction-Wise Distribution of Land Surface Temperature in Jeju Island using Landsat 7 Data","authors":"","doi":"10.52939/ijg.v19i9.2825","DOIUrl":"https://doi.org/10.52939/ijg.v19i9.2825","url":null,"abstract":"In the present research, the Land Surface Temperature (LST) has been calculated from Landsat 7 data of Jeju Island to understand the spatial distribution of temperature on the island which would be strongly related to the ecological characteristics of the island. The dates were selected based on seasons (winter and summer) March 12 and September 19, 2020, respectively. Results calculated from a thermal band of Landsat 7 revealed the temperature variations on the island. Winter temperature varies from -3.7 to 31 oC while the summer season temperature varies from 20.6 to 43.1 oC. The surface temperature was also calculated at elevations of 100m and 500m for both seasons. It was found that on 100 m elevation, in winter the North and South directions have the same temperature, comparatively, in summer the North direction has a 0.97 oC higher temperature than the South. The East direction showed a 0.55 oC higher temperature as compared to the West in winter but in the summer season the case was opposite and the West had a 1.46 oC higher surface temperature than the East. Interestingly at 100 m height in summer, the North, and West has also the same temperature (34.25 oC). In the second case, on 500 m height for all four directions, the LST was compared and results showed that the South has 0.58 and 1.52 oC higher temperatures in winter and summer seasons respectively from the North. On the contrary, the West has 3.33 and 0.5 oC higher temperatures than the East in winter and summer seasons respectively. It revealed that seasons and altitude have a great impact on the LST in different cardinal directions of the island. From the results, it can be assumed that the island's ecological diversity would be strongly related to the geographical distribution of temperature.","PeriodicalId":38707,"journal":{"name":"International Journal of Geoinformatics","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135705972","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Urbanization is a contributing factor to global warming, as asphalt, concrete, and other light-absorbing materials replace vegetated areas, causing an increase in Land Surface Temperature (LST) and creating Surface Urban Heat Islands (SUHI). Although thermal satellite imagery has been a powerful tool in mapping LST and SUHI spatio-temporal changes, the number of studies in Africa, including Egypt, remains limited. Thus, in this research, an automated model was developed in ArcGIS and used to map LST and SUHI and detect Urban Hot Spots (UHS) in Alexandria city, Egypt, using Landsat 8 time series (2013 to 2021). The results revealed an increase of 38.35% in urban areas and a decrease of 50.79% in agricultural areas, a change that was demonstrated by a decline in the Normalized Difference Vegetation Index (NDVI) from 0.84 in 2013 to 0.53 in 2021. Correspondingly, LST and SUHI displayed an increasing pattern, with the highest recorded values observed in 2021. Thus, this study showed the negative impact of urbanization on Alexandria city’s temperature – a city that is already facing a climate catastrophe because of the sea level rise resulting from climate change. Furthermore, the developed estimation model can be similarly useful for climate change researchers and decision makers.
{"title":"Mapping of Thermal Indices Using an Automated Landsat 8-based-ArcGIS Model: A Case Study in Alexandria City, Egypt","authors":"","doi":"10.52939/ijg.v19i9.2823","DOIUrl":"https://doi.org/10.52939/ijg.v19i9.2823","url":null,"abstract":"Urbanization is a contributing factor to global warming, as asphalt, concrete, and other light-absorbing materials replace vegetated areas, causing an increase in Land Surface Temperature (LST) and creating Surface Urban Heat Islands (SUHI). Although thermal satellite imagery has been a powerful tool in mapping LST and SUHI spatio-temporal changes, the number of studies in Africa, including Egypt, remains limited. Thus, in this research, an automated model was developed in ArcGIS and used to map LST and SUHI and detect Urban Hot Spots (UHS) in Alexandria city, Egypt, using Landsat 8 time series (2013 to 2021). The results revealed an increase of 38.35% in urban areas and a decrease of 50.79% in agricultural areas, a change that was demonstrated by a decline in the Normalized Difference Vegetation Index (NDVI) from 0.84 in 2013 to 0.53 in 2021. Correspondingly, LST and SUHI displayed an increasing pattern, with the highest recorded values observed in 2021. Thus, this study showed the negative impact of urbanization on Alexandria city’s temperature – a city that is already facing a climate catastrophe because of the sea level rise resulting from climate change. Furthermore, the developed estimation model can be similarly useful for climate change researchers and decision makers.","PeriodicalId":38707,"journal":{"name":"International Journal of Geoinformatics","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135706316","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The advancement of unmanned aerial vehicles (UAVs) replaces traditional survey methods and provides more accurate, complete, and higher-resolution photographs than traditional aerial images. Due to the development of new surveying methods, UAVs were taken to survey the eastern Mae Moh coal mine, Mae Moh district, Lampang province, Thailand, to create a 3D digital outcrop model. Geologically, the Mae Moh coal mine forms a graben structure in which the basin's center moves downward relative to the east and west high mountains. To create the 3D model, the UAV or drone was flown over three outcrop stations to capture details of outcrops in the top and 3D views. Computer vision processing complies with aerial images from UAVs to represent bedding planes of coal seams and exposed fault characteristics. The efficiency of measuring orientations of geological structures derived from the 3D model and actual field data reveals that bedding planes and fault planes orient in a similar direction. Regarding the fault planes, the percentage error of strike ranges from 1.5% to 8.0%, whereas the percentage error of dip angle ranges between 2.4% and 2.7%. For the bedding planes, the percentage error of strike ranges from 0.5% to 10.5%, while the percentage error of dip angle ranges between 9 % and 27 %. Although the efficiency of measurements on geological structures from the 3D digital outcrop model needs to be improved, using UAVs will help develop the quality of topographic and geological surveys in the future.
{"title":"3D Digital Outcrop Model for Geological Structure Analysis in Mae Moh Coal Mine, Lampang Province, Thailand","authors":"","doi":"10.52939/ijg.v19i9.2847","DOIUrl":"https://doi.org/10.52939/ijg.v19i9.2847","url":null,"abstract":"The advancement of unmanned aerial vehicles (UAVs) replaces traditional survey methods and provides more accurate, complete, and higher-resolution photographs than traditional aerial images. Due to the development of new surveying methods, UAVs were taken to survey the eastern Mae Moh coal mine, Mae Moh district, Lampang province, Thailand, to create a 3D digital outcrop model. Geologically, the Mae Moh coal mine forms a graben structure in which the basin's center moves downward relative to the east and west high mountains. To create the 3D model, the UAV or drone was flown over three outcrop stations to capture details of outcrops in the top and 3D views. Computer vision processing complies with aerial images from UAVs to represent bedding planes of coal seams and exposed fault characteristics. The efficiency of measuring orientations of geological structures derived from the 3D model and actual field data reveals that bedding planes and fault planes orient in a similar direction. Regarding the fault planes, the percentage error of strike ranges from 1.5% to 8.0%, whereas the percentage error of dip angle ranges between 2.4% and 2.7%. For the bedding planes, the percentage error of strike ranges from 0.5% to 10.5%, while the percentage error of dip angle ranges between 9 % and 27 %. Although the efficiency of measurements on geological structures from the 3D digital outcrop model needs to be improved, using UAVs will help develop the quality of topographic and geological surveys in the future.","PeriodicalId":38707,"journal":{"name":"International Journal of Geoinformatics","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135809600","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The visualization system of nautical charts enhances the safety navigation on sea, particularly in critical areas. Nowadays nautical chart visualization technology considers the benefit of inventive information technology to produce three-dimensional and real-time models which can be easily used. Therefore, this study attempted to develop an Android-based application with Augmented Reality (AR) approach. A digitation of the conventional nautical chart was performed to build a digital nautical chart. This process implemented regulation from United States (US) Chart No. 1 and International Association of Marine Aids to Navigation and Lighthouse Authorities (IALA) Maritime Buoyage System. There are two substantial results of this research: Marine Augmented Reality System (MARS) to display a nautical chart in a three-dimensional form, and Marine Augmented Reality System GPS (MARSGPS) which focuses on integrating the model with its vicinity environment. This brings users to better acknowledge the situation of their environment. The usability test of these products shows that the overall feasibility value is 83.71%. The coordinate accuracy of MARSGPS application has a Root Mean Square Error (RMSE) value of 4.30m, which can be improved through a ground-truth measurement. Nevertheless, this approach provides an essential reference for future research on a three-dimensional nautical chart visualization.
{"title":"MARS: An Augmented Reality-Based Marine Chart Display System","authors":"","doi":"10.52939/ijg.v19i9.2827","DOIUrl":"https://doi.org/10.52939/ijg.v19i9.2827","url":null,"abstract":"The visualization system of nautical charts enhances the safety navigation on sea, particularly in critical areas. Nowadays nautical chart visualization technology considers the benefit of inventive information technology to produce three-dimensional and real-time models which can be easily used. Therefore, this study attempted to develop an Android-based application with Augmented Reality (AR) approach. A digitation of the conventional nautical chart was performed to build a digital nautical chart. This process implemented regulation from United States (US) Chart No. 1 and International Association of Marine Aids to Navigation and Lighthouse Authorities (IALA) Maritime Buoyage System. There are two substantial results of this research: Marine Augmented Reality System (MARS) to display a nautical chart in a three-dimensional form, and Marine Augmented Reality System GPS (MARSGPS) which focuses on integrating the model with its vicinity environment. This brings users to better acknowledge the situation of their environment. The usability test of these products shows that the overall feasibility value is 83.71%. The coordinate accuracy of MARSGPS application has a Root Mean Square Error (RMSE) value of 4.30m, which can be improved through a ground-truth measurement. Nevertheless, this approach provides an essential reference for future research on a three-dimensional nautical chart visualization.","PeriodicalId":38707,"journal":{"name":"International Journal of Geoinformatics","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135705970","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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