In processing of position time series of crustal deformation monitoring stations by continuousGNSS station, it is very important to determine the motion model to accurately determine the displacementvelocity and other movements in the time series. This paper proposes (1) the general geometric model foranalyzing GNSS position time series, including common phenomena such as linear trend, seasonal term,jumps, and post-seismic deformation; and (2) the approach for directly estimating time decay ofpostseismic deformations from GNSS position time series, which normally is determined based on seismicmodels or the physical process seismicity, etc. This model and approach are tested by synthetic positiontime series, of which the calculation results show that the estimated parameters are equal to the givenparameters. In addition they were also used to process the real data which is GNSS position time series of4 CORS stations in Vietnam, then the estimated velocity of these stations: DANA (n, e, u = -9.5, 31.5, 1.5mm/year), HCMC (n, e, u = -9.5, 26.2, 1.9 mm/year), NADI (n, e, u = -10.6, 31.5, -13.4 mm/year), andNAVI (n, e, u = -13.9, 32.8, -1.1 mm/year) is similar to previous studies.
LiDAR technology has been widely adopted as a proper method for land cover classification.Recently with the development of technology, LiDAR systems can now capture high-resolutionmultispectral bands images with high-density LiDAR point cloud simultaneously. Therefore, it opens newopportunities for more precise automatic land-use classification methods by utilizing LiDAR data. Thisarticle introduces a combining technique of point cloud classification algorithms. The algorithms includeground detection, building detection, and close point classification - the classification is based on pointclouds’ attributes. The main attributes are heigh, intensity, and NDVI index calculated from 4 bands ofcolors extracted from multispectral images for each point. Data of the Leica City Mapper LiDAR systemin an area of 80 ha in Quang Xuong town, Thanh Hoa province, Vietnam was used to deploy theclassification. The data is classified into eight different types of land use consist of asphalt road, otherground, low vegetation, medium vegetation, high vegetation, building, water, and other objects. Theclassification workflow was implemented in the TerraSolid suite, with the result of the automation processcame out with 97% overall accuracy of classification points. The
Recently remarkable advancement development of unmannedaerial vehicles (UAVs) has been observed and their applications have beenshown in many fields such as agriculture, industry, and environmentalmanagement. However, in the mining industry, the application of UAVtechnology remains potential. This paper presents a low-cost unmannedaerial vehicle technology-based system for 3D mapping and air qualitymonitoring at open-pit mine sites in Vietnam. The system includes severaldust sensors that are mounted on a low-cost rotary-wing type UAV. Thesystem collects a variety of data, mainly images and airborne pollutantconcentrations. To evaluate the performance of the proposed system, fieldtests were carried out at the Coc Sau coal mine. Based on the imagestransmitted to the ground monitoring station, large scale 3D topographicmaps were successfully modeled. In addition, sensors mounted on theUAV system were able to monitor the levels of environmental variablesassociated with the air quality within the pit such as temperature, dust, CO,CO2, and NOx. The field test results in this study illustrate the applicabilityof the low-cost UAV for the 3D mapping and the air quality monitoring atlarge and deep coal pits with relatively high accuracy.
In Vietnam, there are a huge number of quarries that areexploited and mainly provide materials to the construction sector of thecountry. However, most of the quarries are operating without topographicplans due to a lack of surveying activities. This paper introduces anapproach of using low-cost UAVs to produce digital surface models whichin turn are used to draw topographic maps of quarries in Vietnam. Forassessments of accuracy, safety, and working efficiency, four quarriesdifferent in terrain conditions, namely Luong Son, Long Son, Nui Nho, andNui Dai were selected as the study areas. Ground control points wereestablished in each area by using GNSS/RTK for camera calibration andaccuracy assessment. The accuracy of DSM was assessed using the rootmean-square error (RMSE) in X, Y, Z, XY, and XYZ components.Capturing images from each site were processed by usingAgisoft®PhotoScan Professional 1.5.2. The results showed that all theDSM models of the four areas have high accuracy, RMSE on the checkedGCPs ranges from 1.0 to 9.0 cm, from 1.2 to 5.0 cm, from 4.4 to 13.4 cm,from 1.6 to 10.3 cm, and from 4.9 to 16.9 cm for X, Y, Z, XY, XYZcomponents, respectively. We concluded that the low-cost UAV basedmapping technology can guarantee the accuracy of DSMs, the safety ofUAV flying, and the efficiency of surveying working simultaneously whenusing in quarries.
Vietnam's mining industry has a long history with mines distributed throughout the country. Ithas contributed significantly to national economic growth. However, it also causes negative impacts onthe environment, thereby affecting sustainable development and mineral resource management.Therefore, mineral resource management is one of the most critical tasks of state management. The factorsthat directly affect this issue are the institutional system and state management tools by the law. Stateinstitutions are an essential tool to regulate behaviors and establish social orders and disciplines in allfields, including mineral resources management. This article presents the current law on managing andexploiting mineral resources to provide orientations and solutions to improve the state institution on theseactivities in Vietnam. Based on clarifying the theory of state institutions and analyzing the current legaldocument systems in Viet Nam, the paper emphasizes the role of appraisal in improving the quality oflegal documents and perfecting state institutions.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.