Abstract: Purpose. The main objective of this paper is to assess the quality of the 3D model of industrial buildings generated from Unmanned Aerial Vehicle (UAV) imagery datasets, including nadir (N), oblique (O), and Nadir and Oblique (N+O) UAV datasets. Methodology. The quality of a 3D model is defined by the accuracy and density of point clouds created from UAV images. For this purpose, the UAV was deployed to acquire images with both O and N flight modes over an industrial mining area containing a mine shaft tower, factory housing and office buildings. The quality assessment was conducted for the 3D point cloud model of three main objects such as roofs, facades, and ground surfaces using CheckPoints (CPs) and terrestrial laser scanning (TLS) point clouds as the reference datasets. The Root Mean Square Errors (RMSE) were calculated using CP coordinates, and cloud to cloud distances were computed using TLS point clouds, which were used for the accuracy assessment. Findings. The results showed that the point cloud model generated by the N flight mode was the most accurate but least dense, whereas that of the O mode was the least accurate but most detailed level in comparison with the others. Also, the combination of O and N datasets takes advantages of individual mode as the point clouds accuracy is higher than that of case O, and its density is much higher than that of case N. Therefore, it is optimal to build exceptional accurate and dense point clouds of buildings. Originality. The paper provides a comparative analysis in quality of point cloud of roofs and facades generated from UAV photogrammetry for mining industrial buildings. Practical value. Findings of the study can be used as references for both UAV survey practices and applications of UAV point cloud. The paper provides useful information for making UAV flight planning, or which UAV points should be integrated into TLS points to have the best point cloud.

Abstract: Recently, terrestrial laser scanner (TLS) has been increasingly used to monitor ofdisplacement of high-rise buildings. The main advantages of this technique are time-saving, higherpoint density, and higher accuracy in comparison with GPS and conventional methods. While TLS isordinary worldwide, there has been no study of the capability of TLS in monitoring the displacement ofhigh-rise buildings yet in Vietnam. The paper's goal is to build a procedure for displacement monitoringof high-rise buildings and assess the accuracy of TLS in this application. In the experiments, a scannedboard with a 60 cm x 60 cm mounted on a moveable monument system is scanned by Faro Focus3DX130. A monitoring procedure using TLS is proposed, including three main stages: site investigation,data acquisition and processing, and displacement determination by the Cloud-to-Cloud method (C2C).As a result, the displacement of the scanned object between epochs is computed. In order to evaluate theaccuracy, the estimated displacement using TLS is compared with the real displacement. The accuracydepends on scanning geometry, surface property, and point density conditions. Our results show that theaccuracy of the estimated displacement is within ± 2 mm for buildings lower than 50 m of height. Thus,TLS completely meets the accuracy requirements of monitoring displacement in the Vietnam Standardsof Engineering Surveying. With such outstanding performance, our workflow of using TLS could beapplied to monitor the displacement of high-rise buildings in the reality of geodetic production inVietnam.

Abstract: Development of agricultural cooperatives is one of the main tasks for successful implementation of the master plan on agricultural restructuring and new rural construction in Phu Tho province. In the past years, the People’s committee of Phu Tho province has been very active in the state management of agricultural cooperatives, thereby developing significantly agricultural cooperatives. Some models of agricultural cooperatives were initially successful associated with value chain development, high-technology application and development of OCOP “one commune, one product” program. However, there are still some shortcomings in state management activities for agricultural cooperatives such as: irregular inspection and supervision of agricultural cooperatives; production land and landing allocation for agricultural cooperatives in the long-term use has been still limited; difficulties in the support of seeds, fertilizers, product processing technology for cooperatives’ members, especially linking agricultural products along the value chain is an obstacle when majority producers are small scale. In addition, the mobilization and persuasion of people to join agricultural cooperatives is still not good. The study proposes 6 groups of solutions to improve the efficiency of state management activities for agricultural cooperatives in Phu Tho province in the future.

Abstract: Trong nghiên cứu này, chúng tôi trình bày kết quả điều tra hiện trạng rùa cạn và rùa nước ngọt tại Khu Bảo tồn thiên nhiên Pù Hu. Để thu thập số liệu thực địa, chúng tôi đã sử dụng các phương pháp phỏng vấn người dân, điều tra theo tuyến, điểm. Bốn đợt khảo sát thực địa với tổng thời gian là 40 ngày đã được chúng tôi tiến hành từ tháng 6/2020 đến 12/2021. Kết quả điều tra tại Khu Bảo tồn thiên nhiên (BTTN) Pù Hu từ năm 2020 - 2021 đã ghi nhận được 11 loài rùa thuộc 9 giống, 4 họ và 1 bộ. ghi nhận 6 loài thuộc Sách Đỏ Việt Nam (2007). 11 loài thuộc Danh lục Đỏ IUCN (2022). 10 loài thuộc CITES (2020). Kết quả điều tra đã xác định được 5 trạng thái sinh cảnh chính có phân bố của các loài rùa. Chỉ số phong phú (A%) của loài Rùa đầu to là cao nhất ở cấp ít (++); hiệu suất tìm kiếm 0,01120 cá thể/giờ; mật độ Rùa đầu to cao nhất là 0,41666 (cá thể/ha); thấp nhất là Ba ba trơn có chỉ số phong phú (A%) ở cấp hiếm (+); hiệu suất tìm kiếm 0,00086 cá thể/giờ; mật độ là 0,03205 (cá thể/ha). Kết quả nghiên cứu đã xác định được 4 nguyên nhân chính ảnh hưởng tới quẩn thể rùa tại Khu BTTN Pù Hu bao gồm săn bắt, thu hái lâm sản ngoài gỗ, mất sinh cảnh sống, đường đi lại trong rừng. Kết quả nghiên cứu đã đề xuất được 4 nhóm giải pháp cấp thiết, 7 giải pháp tổng hợp để bảo tồn và phát triển các quần thể rùa ở Khu BTTN Pù Hu.

Abstract: Climate change induced sea-level rise (SLR) is on its increase globally. Regionally the lowlands of China, Vietnam, Bangladesh, and islands of the Malaysian, Indonesian and Philippine archipelagos are among the world’s most threatened regions. Sea-level rise has major impacts on the ecosystems and society. It threatens coastal populations, economic activities, and fragile ecosystems as mangroves, coastal salt-marches and wetlands. This paper provides a summary of the current state of knowledge of sea level-rise and its effects on both human and natural ecosystems. The focus is on coastal urban areas and low lying deltas in South-East Asia and Vietnam, as one of the most threatened areas in the world. About 3 mm per year reflects the growing consensus on the average SLR worldwide. The trend speeds up during recent decades. The figures are subject to local, temporal and methodological variation. In Vietnam the average values of 3.3 mm per year during the 1993-2014 period are above the worldwide average. Although a basic conceptual understanding exists that the increasing global frequency of the strongest tropical cyclones is related with the increasing temperature and SLR, this relationship is insufficiently understood. Moreover the precise, complex environmental, economic, social, and health impacts are currently unclear. SLR, storms and changing precipitation patterns increase flood risks, in particular in urban areas. Part of the current scientific debate is on how urban agglomeration can be made more resilient to flood risks. Where originally mainly technical interventions dominated this discussion, it becomes increasingly clear that proactive special planning, flood defense, flood risk mitigation, flood preparation, and flood recovery are important, but costly instruments. 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Abstract: Monitoring the displacement of high-rise buildings using a terrestrial laser scanner (TLS) is an active research topic in the field of engineering surveying. The Faro Focus3D X130 is one of the most suitable scanners which is widely used in different industries, such as architecture, archaeology, shipbuilding, and construction. However, in engineering surveying, the potential use of this scanner is not investigated for displacement monitoring yet. This paper's goal is to evaluate the accuracy of this scanner in the displacement monitoring of high-rise buildings. In the fieldwork experiment, the high-rise-rise building’s displacement is simulated by a movement of the board installed on this building. In addition, the surface material, scanning geometry, and point density of data that influenced the scan quality are investigated. The cloud - to - cloud method in CloudCompare software is applied to measure the distance between point clouds in two epochs. The distance between two point clouds allows determining the displacement of the board in two epochs. The results show the deviation between displacement analyzed from point clouds and the actual displacement is smaller than 2 mm in all experiments. TLS completely fulfills the required accuracy in the displacement monitoring according to the Vietnam construction standard. This study indicates that Faro Focus3D X130 is suitable to use in the displacement monitoring of high-rise buildings in practical engineering surveying.

Abstract: The surface plant infrastructure (SPI) of underground coal mines is one of important sets of underground mines as it includes essential objects, such as office buildings, structures and equipment used to load, receive, sort or process minerals; receive and discharge waste rocks; provide ventilation for tunnels and energy for mining operations. The measurement and collection of spatial data of SPI are important to ensure the safe and effective management and operation of mining activities in underground mines. A rapid development in geospatial technologies has facilitated the acquisition of geospatial data in the mining industry. Unmanned Aerial Vehicle (UAV) photogrammetry and Terrestrial Laser Scanning (TLS) are two of the typical geospatial technologies, which have made significant contributions to the field of geospatial data collection. While UAV photogrammetry allows to create dense point clouds with centimeter - level accuracy in a short time and large areas, TLS technology can produce dense point clouds with millimeter - level accuracy. However, the latter is time - consuming and expensive while performing on a large area. The integration of UAV and TLS data can be seen as a reasonable solution to gain the advantages of both and avoid the disadvantages of each technology. This paper presents the results of an integrated study of point cloud data generated by UAV and TLS for the plant infrastructure of the underground coal mine. Featuring structures in the study area include mineshaft tower, office and factory buildings. The results show that the UAV and TLS integrated point cloud data has millimeter - level accuracy for important objects such as mineshaft towers, while ancillary structures in the study area have centimeter - level accuracy.

Abstract: Recently, the direct georeferencing method has been increasingly used in Terrestrial Laser Scanner (TLS). This method has the benefit of saving time, but the low accuracy is a great difficulty to use. This paper proposed a possible approach for direct georeferencing with high accuracy using the resection method. Thanks to new series of TLS combined with a total station called the total station scanner, the resection method can be applied to overcome the problem. However, the assessment of the resection method on the quality of the point cloud is lacking up to now. In this paper, the influence of components of error sources in the resection method on the total error of the point cloud is analyzed. In the experiment, a Topcon GTL-1000 total station scanner was employed. A ground control network and checkered targets were established by a Leica TS06 plus total station. The experimental results verify that the total error of point cloud entirely agrees with the theory about georeferencing using the resection method. In addition, the distance and incidence angle from the scanner to the measured object are the main factors that considerably influence the accuracy of the point cloud. The relationship between these factors and the accuracy of the point cloud is non-linear measured by a coefficient of determination (R2 〉 0.7). Using the resection method, the coordinates of the scan station can obtain at a millimeter level in accuracy. As a result, the resection method is one of the most suitable methods that can be applied for georeferencing in TLS. The high accuracy and saving time for TLS data post-processing in the office are enormous benefits of this method.

Abstract: Based on primary and secondary data collected from interviews with 63 local officials and relevant stakeholders, this study analyzes the management of agricultural products according to the value chain in Yen Binh district, Yen Bai province. The results show that the management of agricultural products through the value chain have initially contributed to the increase of agricultural production's value; the crucial products of the district have been developed into a large-scale production zone; increasing the efficiency of agricultural cooperative models and households’ income. However, there are some limitations in the district: most of the households are small scale and scattered; business organization in the local agricultural sector is lowly efficient; the capacity of state management for the agricultural value chain model is inadequate. The authors proposes a number of solutions to improve the efficiency of agricultural product management according to the value chain, including: Developing an overall strategy and improving the policy system for agricultural product development according to the value chain; Improving the quality of agricultural products in line with the value chain at all stages; Developing linkage models between actors participating in agricultural value chains; Building brand and developing market for agricultural products; Improving the infrastructure system for the development of value chains of agricultural products; Ensuring the harmonization of value chain actors’ interests in the development of agricultural products.