{"title":"An Investigation of Soil Spectral Characteristics under Different Conditions in Jordan","authors":"","doi":"10.52939/ijg.v20i6.3335","DOIUrl":"https://doi.org/10.52939/ijg.v20i6.3335","url":null,"abstract":"","PeriodicalId":38707,"journal":{"name":"International Journal of Geoinformatics","volume":"11 4","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141652730","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}
{"title":"Urban Land Use Changes Simulation with CA-ANN Model: A Case Study of Mae Sot District, Tak Province, Thailand","authors":"","doi":"10.52939/ijg.v20i6.3339","DOIUrl":"https://doi.org/10.52939/ijg.v20i6.3339","url":null,"abstract":"","PeriodicalId":38707,"journal":{"name":"International Journal of Geoinformatics","volume":"57 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141654761","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}
{"title":"Analysis of Hotel Distribution Patterns in Hail, Saudi Arabia, Using Geographic Information Systems (GIS)","authors":"","doi":"10.52939/ijg.v20i6.3333","DOIUrl":"https://doi.org/10.52939/ijg.v20i6.3333","url":null,"abstract":"","PeriodicalId":38707,"journal":{"name":"International Journal of Geoinformatics","volume":"49 3","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141654604","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}
{"title":"Evaluating Spatiotemporal Dynamics: A Comparative Study of Predictive Efficacy in Land Use Land Cover Change Models-Markov Chain, CA-ANN, and PLUS","authors":"","doi":"10.52939/ijg.v20i6.3329","DOIUrl":"https://doi.org/10.52939/ijg.v20i6.3329","url":null,"abstract":"","PeriodicalId":38707,"journal":{"name":"International Journal of Geoinformatics","volume":"10 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141655608","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}
{"title":"Optimal Locations of Municipal Solid Waste-to-Value-Added Conversion Facilities Using GIS Analysis: A Case Study in Mymensingh Division, Bangladesh","authors":"","doi":"10.52939/ijg.v20i6.3341","DOIUrl":"https://doi.org/10.52939/ijg.v20i6.3341","url":null,"abstract":"","PeriodicalId":38707,"journal":{"name":"International Journal of Geoinformatics","volume":"53 5","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141654584","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}
{"title":"Quantifying Urban Expansion in Small Cities: A Case Study of the Al-Qassim Region, Saudi Arabia","authors":"","doi":"10.52939/ijg.v20i6.3337","DOIUrl":"https://doi.org/10.52939/ijg.v20i6.3337","url":null,"abstract":"","PeriodicalId":38707,"journal":{"name":"International Journal of Geoinformatics","volume":"18 6","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141652136","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}
{"title":"Revealing Adolescent Drug Trafficking and Addiction: Exploring School Disciplinary and Drug Issues in the Federal Territory of Kuala Lumpur and Selangor, Malaysia","authors":"","doi":"10.52939/ijg.v20i6.3327","DOIUrl":"https://doi.org/10.52939/ijg.v20i6.3327","url":null,"abstract":"","PeriodicalId":38707,"journal":{"name":"International Journal of Geoinformatics","volume":"49 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141654606","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 an assessment of the potential of solar rooftops, and an analysis of the feasibility of investing in rooftop photovoltaic systems for the buildings at Lampang Rajabhat University. The ArcGIS solar radiation analysis tool was used to prepare the solar radiation maps. The derived solar radiation values were then used to evaluate the viability of investing in rooftop photovoltaic (PV) systems, considering factors that included Net Present Value (NPV), Internal Rate of Return (IRR), and Payback Period (PB) through project analysis and evaluation. According to the analysis, 23 buildings could be fitted with a solar rooftop, and 4,106 solar panels would cover 8.29% of the roof area. Southerly oriented pitched roofs had high solar radiation; nevertheless, slopes steeper than 40° reduced the radiation. Flat roofs with solar panels that were oriented southward and inclined at around 15° were found to be effective. When the PV-potential value was compared with the PV output value, a 0.19% difference between the values was observed. After we adjusted the PV-potential value in the PV-potential areas, the solar energy potential was determined to be 1,540,389.14 kWh per year. This potential could result in a 42.73% reduction in the total electricity cost at the university. Furthermore, the system’s financial and environmental analyses revealed that the discounted PB would be 9 years and 6 months, with a reduction of 791.44 tCO 2 eq/year. These findings could be used to guide the university in developing a policy about the installation of a rooftop PV system, reduce fossil fuel consumption, and increase self-generated clean energy. These indicators are critical milestones for the university toward becoming a green university and achieving the Sustainable Development Goals
{"title":"Technical and Economic Potential of Solar Energy on Rooftops: A Case Study at Lampang Rajabhat University, Thailand","authors":"W. Wongwan, N. Pleerux, Thanomsat, S. Moukomla","doi":"10.52939/ijg.v20i2.3069","DOIUrl":"https://doi.org/10.52939/ijg.v20i2.3069","url":null,"abstract":"This paper presents an assessment of the potential of solar rooftops, and an analysis of the feasibility of investing in rooftop photovoltaic systems for the buildings at Lampang Rajabhat University. The ArcGIS solar radiation analysis tool was used to prepare the solar radiation maps. The derived solar radiation values were then used to evaluate the viability of investing in rooftop photovoltaic (PV) systems, considering factors that included Net Present Value (NPV), Internal Rate of Return (IRR), and Payback Period (PB) through project analysis and evaluation. According to the analysis, 23 buildings could be fitted with a solar rooftop, and 4,106 solar panels would cover 8.29% of the roof area. Southerly oriented pitched roofs had high solar radiation; nevertheless, slopes steeper than 40° reduced the radiation. Flat roofs with solar panels that were oriented southward and inclined at around 15° were found to be effective. When the PV-potential value was compared with the PV output value, a 0.19% difference between the values was observed. After we adjusted the PV-potential value in the PV-potential areas, the solar energy potential was determined to be 1,540,389.14 kWh per year. This potential could result in a 42.73% reduction in the total electricity cost at the university. Furthermore, the system’s financial and environmental analyses revealed that the discounted PB would be 9 years and 6 months, with a reduction of 791.44 tCO 2 eq/year. These findings could be used to guide the university in developing a policy about the installation of a rooftop PV system, reduce fossil fuel consumption, and increase self-generated clean energy. These indicators are critical milestones for the university toward becoming a green university and achieving the Sustainable Development Goals","PeriodicalId":38707,"journal":{"name":"International Journal of Geoinformatics","volume":"92 ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140272509","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}
Utilizing small-format oblique camera systems to capture simultaneous nadir and oblique photographs from unmanned aerial vehicles (UAVs) is a common practice in modern photogrammetry. Oblique photographs provide enhanced geometric insights into building side views, terrain morphology, and vegetation, thereby enriching interpretation and classification. However, the design of camera rig parameters and their precise mathematical modeling for small-format oblique camera systems in multi-view processing is essential to ensure accurate representation of the physical camera geometry and results. This study investigates the camera rig parameters of the ‘3DM-V3’ small-format oblique camera system, focusing specifically on the relative relationship between nadir and oblique cameras, within two prominent photogrammetric software: PIX4Dmapper and Agisoft Metashape. The research concludes that optimal parameterization involves fully constrained relative translation parameters (T X , T Y , T Z ) rel for the four oblique cameras, while setting approximate initial estimates as free constrained for relative rotation parameters (R X , R Y , R Z ) rel . This approach aligns with the physical geometry of the camera system and yields a precise camera model, as confirmed through bundle block adjustment (BBA) computations. PIX4Dmapper yields horizontal and vertical root mean square errors (RMSE) of 0.023 m and 0.019 m, respectively, while Agisoft Metashape results in RMSE of 0.018 m and 0.046 m. These RMSE values, considering the ground sample distance and ground control point accuracy, reflect the robustness of the approach. The insights from this research offer valuable guidance for industries, facilitating informed decisions regarding the selection of appropriate software and parameters for small-format oblique camera systems mounted on UAVs, thus ensuring consistency between theoretical models and real-world applications.
在现代摄影测量中，利用小型斜角相机系统从无人飞行器（UAV）上同时拍摄天底角和斜角照片是一种常见的做法。斜向照片可增强对建筑物侧视图、地形形态和植被的几何洞察力，从而丰富判读和分类方法。然而，在多视角处理过程中，小型斜摄影机系统的摄影机支架参数设计及其精确的数学建模对于确保准确呈现摄影机的物理几何形状和结果至关重要。本研究调查了两款著名摄影测量软件中 "3DM-V3 "小尺寸斜摄影机系统的摄影机装置参数，特别侧重于天底摄影机和斜摄影机之间的相对关系：PIX4Dmapper 和 Agisoft Metashape。研究得出结论，最佳参数化涉及四个斜摄影机的完全约束相对平移参数 (T X , T Y , T Z ) rel，同时将近似初始估计值设置为自由约束相对旋转参数 (R X , R Y , R Z ) rel。这种方法与摄像机系统的物理几何形状相一致，并通过束块调整 (BBA) 计算得到了精确的摄像机模型。PIX4Dmapper 的水平和垂直均方根误差 (RMSE) 分别为 0.023 米和 0.019 米，而 Agisoft Metashape 的 RMSE 分别为 0.018 米和 0.046 米。本研究的见解为各行业提供了宝贵的指导，有助于为安装在无人机上的小尺寸斜相机系统选择合适的软件和参数做出明智的决策，从而确保理论模型与实际应用之间的一致性。
{"title":"A Comparative Analysis of Camera Rig Parameters in Photogrammetric Software for Small-Format Oblique Camera System on Unmanned Aerial Vehicle","authors":"T. Bannakulpiphat, P. Santitamnont","doi":"10.52939/ijg.v20i2.3059","DOIUrl":"https://doi.org/10.52939/ijg.v20i2.3059","url":null,"abstract":"Utilizing small-format oblique camera systems to capture simultaneous nadir and oblique photographs from unmanned aerial vehicles (UAVs) is a common practice in modern photogrammetry. Oblique photographs provide enhanced geometric insights into building side views, terrain morphology, and vegetation, thereby enriching interpretation and classification. However, the design of camera rig parameters and their precise mathematical modeling for small-format oblique camera systems in multi-view processing is essential to ensure accurate representation of the physical camera geometry and results. This study investigates the camera rig parameters of the ‘3DM-V3’ small-format oblique camera system, focusing specifically on the relative relationship between nadir and oblique cameras, within two prominent photogrammetric software: PIX4Dmapper and Agisoft Metashape. The research concludes that optimal parameterization involves fully constrained relative translation parameters (T X , T Y , T Z ) rel for the four oblique cameras, while setting approximate initial estimates as free constrained for relative rotation parameters (R X , R Y , R Z ) rel . This approach aligns with the physical geometry of the camera system and yields a precise camera model, as confirmed through bundle block adjustment (BBA) computations. PIX4Dmapper yields horizontal and vertical root mean square errors (RMSE) of 0.023 m and 0.019 m, respectively, while Agisoft Metashape results in RMSE of 0.018 m and 0.046 m. These RMSE values, considering the ground sample distance and ground control point accuracy, reflect the robustness of the approach. The insights from this research offer valuable guidance for industries, facilitating informed decisions regarding the selection of appropriate software and parameters for small-format oblique camera systems mounted on UAVs, thus ensuring consistency between theoretical models and real-world applications.","PeriodicalId":38707,"journal":{"name":"International Journal of Geoinformatics","volume":"156 11","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140283640","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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