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Vertical accuracy evaluation of DEM data based on ICESat-2 ATLAS DING Xiameng, ZHANG Jixian, GUO Jing, ZHANG He, CHANG Yaru Bulletin of Surveying and Mapping    2022, 0 (12): 84-90.   DOI: 10.13474/j.cnki.11-2246.2022.0361 Abstract （452）            Knowledge map    Save In order to investigate the elevation accuracy of three open source DEM data, ASTER GDEMV3、SRTM1 DEM and AW3D30 DEM. In this paper, high precision ICESat-2 ATLAS altimetry data is used as reference data, comparative evaluation of elevation accuracy of DEM using GIS statistical analysis, error correlation analysis and mathematical statistics.The results show that:①The quality of AW3D30 is the most stable; SRTM1 DEM has the highest accuracy in the plains; the accuracy in the highland mountains is AW3D30 DEM, ASTER GDEMV3, and SRTM1 DEM in descending order.②The elevation accuracy of DEM data is influenced by the surface coverage and is closely related to the topographic factors. The performance of DEM data elevation accuracy in the two study areas with the same surface coverage is not consistent, SRTM has the best performance under the plain surface coverage with an average error of 3.15 m, and AW3D30 DEM has the best performance under the mountainous surface coverage with an average error of 7.61 m.③The influence of slope on the elevation accuracy of DEM data is large, and the elevation error of three kinds of DEM data in two study areas increases with the increase of slope; the influence of slope direction on the elevation accuracy of DEM data is small, and no obvious pattern is found. Reference | Related Articles | Metrics

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Realize building monomerization of 3D model based on deep learning WANG Wenna, ZHANG Gong, WU Kan, WANG Rui, QI Lizhuang Bulletin of Surveying and Mapping    2022, 0 (12): 14-18,23.   DOI: 10.13474/j.cnki.11-2246.2022.0350 Abstract （432）            Knowledge map    Save The oblique photography 3D modeling technology can quickly obtain the real 3D model of the target area, but the model under this mechanism is a continuous triangulated irregular network(TIN), which makes it impossible to analyze specific geographic objects. In this paper, two methods of object-oriented image analysis and deep learning semantic segmentation are used to extract buildings and comparative analysis. The result shows that semantic segmentation method can effectively extract the buildings in the digital orthophotos corresponding to the tilt model. By post-processing the extraction results and giving the vector data the basic attributes of the building, the vector datas are used to realize the building monomerization and publish 3D models and data services, which can more effectively use the oblique photography model to show the geographical space and the building information. Reference | Related Articles | Metrics

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Construction and application of monitoring index for mine ecological restoration YUE Yongsheng, LUO Zhiyuan, JI Lin Bulletin of Surveying and Mapping    2022, 0 (12): 136-140.   DOI: 10.13474/j.cnki.11-2246.2022.0370 Abstract （371）            Knowledge map    Save At present, there is a lack of a complete monitoring index system for the monitoring of mine ecological restoration project effect in China. In order to promote the construction of mine ecological restoration monitoring index system, this research builds a set of scientific evaluation index system of mining ecological restoration results monitoring technology from the basic content of mine ecological restoration monitoring, the aspect such as the selection of monitoring indicators research, innovation from water environment, soil environment, the surface environment and geological environment, ecological restoration comprehensive benefit. The index system is applied in the ecological restoration monitoring of a coal mine in Shenmu city, Shaanxi province, and verified by means of GIS analysis and sample monitoring. On this basis, the overall effect of mine ecological restoration is evaluated. The results show that among the soil environmental indicators, the soil layer thickness index reflecting soil physical properties are better. The surface water pollution of the mining area is less, and there is basically no microbial and organic pollution. The water quality is alkaline, which is consistent with the soil in the mining area. The vegetation cover and habitat quality index in the test area are good. The proportion of subsidence area is small. The comprehensive benefit index of mine ecological restoration in the experimental area is not good. Reference | Related Articles | Metrics

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The analysis of object-oriented fine modeling LI Jiajun Bulletin of Surveying and Mapping    2022, 0 (12): 1-6.   DOI: 10.13474/j.cnki.11-2246.2022.0348 Abstract （356）            Knowledge map    Save In this paper, the idea of object-oriented fine modeling is proposed by using the technology of photo and point cloud fusion, and practices and explores a landscape sketch from three stages:data acquisition, data processing and model production. Through comparison, the advantages and disadvantages of data obtained by different types of sensors in the model results are analyzed. Finally use the point cloud and photo fusion modeling technology, the problem of rough geometry and poor texture of the real scene model is solved. It provides reference basic data for small-scale planning. Reference | Related Articles | Metrics

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3D road boundary extraction based on mobile laser scanning point clouds and OSM data WANG Yanjun, LIN Yunhao, WANG Shuhan, LI Shaochun, WANG Mengjie Bulletin of Surveying and Mapping    2022, 0 (7): 18-25.   DOI: 10.13474/j.cnki.11-2246.2022.0197 Abstract （337）            Knowledge map    Save Accurate road boundary extraction modeling is an important topic in urban road management, intelligent traffic planning and high-precision map generation. In this paper, an accurate 3D road boundary extraction method based on OSM is proposed based on mobile laser scanning point clouds data. Firstly, the original mobile LiDAR point cloud data is processed by CSF filtering to separate the ground points, and the candidate data set of road boundary points is obtained by combining with the relative elevation analysis. Then, the nodes of OSM vector road network data are used to assist the data segmentation of road boundary point candidate point set. Finally, a 3D road boundary point set is obtained based on RANSAC algorithm in each segment point cloud data set. Through the extraction experiment of three different types of urban road boundary sections, the analysis results show that, the accuracy rate and recall rate of the proposed method are 96.12% and 95.17%, respectively, and F1 value is 92.11%. The research method in this paper can be used to extract and vectorize high-precision road boundaries, thus provide support for intelligent transportation and unmanned navigation. Reference | Related Articles | Metrics

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Application of ground SAR in landslide deformation monitoring ZHOU Zhiwei, CHENG Xiang, ZHOU Wei, HAO Weifeng, XIAO Haibin, CHEN Hongjie, YANG Kui Bulletin of Surveying and Mapping    2022, 0 (7): 60-63.   DOI: 10.13474/j.cnki.11-2246.2022.0204 Abstract （320）            Knowledge map    Save Ground based InSAR is a new technical means developed in recent years to mesure surface deformation based on ground-based SAR (GB-SAR). It has high resolution, and can monitor in real time, and achieve millimeter deformation monitoring accuracy. It provides an advanced technical means for real-time monitoring and early warning of short-range landslide. This paper takes a landslide in Lancang River as the study object, a fixed station is set up on the opposite bank of the landslide to collect GB-SAR data according to the fixed frequency. The interferogram pair is formed by two images successively, then the high coherent point target is extracted by the coherent threshold method, and finally the deformation result of landslide is extracted by the deformation model. The research shows that the GB-SAR is able to obtain the whole deformation boundary, spatial distribution and time change process of the landslide, which is very effective for real-time monitoring of landslide disaster. The relevant research of this paper can provide references for landslide disaster monitoring and early warning. Reference | Related Articles | Metrics

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An improved method for segmentation of supervoxel and regional growing point clouds HAN Ying, ZHENG Wenwu, ZHAO Sha, TANG Yuran Bulletin of Surveying and Mapping    2022, 0 (12): 126-130.   DOI: 10.13474/j.cnki.11-2246.2022.0368 Abstract （311）            Knowledge map    Save Point cloud segmentation is a key processing step for identifying spatial features of geographic scenes, exploring and recording spatial information, and its segmentation accuracy directly affects the effects of subsequent 3D scene reconstruction and feature extraction. Aiming at the instability of traditional region-growing point cloud segmentation algorithms, this paper combines supervoxels and region-growing algorithms to segment point cloud data, and uses the color information of the point cloud itself to further improve the segmentation results. The experimental results show that compared to the traditional region growing and existing segmentation algorithms, combining supervoxels and region growing algorithm proposed in this paper has better effect on point cloud data segmentation, and its accuracy and recall rates are both improved. Reference | Related Articles | Metrics

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Rapid extraction of COVID-19 information based on nighttime light remote sensing: a case study of Beijing JIANG Zelin, DENG Jian, LUAN Haijun, LI Lanhui Bulletin of Surveying and Mapping    2022, 0 (7): 43-48.   DOI: 10.13474/j.cnki.11-2246.2022.0201 Abstract （287）            Knowledge map    Save In response to the increasingly complex epidemic situation at home and abroad, this paper takes the Beijing epidemic in June 2020 as an example, use the day-by-day luminous data of NPP-VIIRS satellite to analyze the affected areas of the epidemic and the status of epidemic control and recovery, and to explore the relationship with social and economic factors such as population density. The research results show that day-by-day luminous remote sensing can effectively extract the area affected by the epidemic and reflect the degree of impact of the area. The extracted affected area is consistent with the medium and high risk areas designated by the country; At the same time, It can timely monitor the development of the epidemic and the status of epidemic prevention and control measures, the intensity of regional luminous has changed significantly with the progress of the epidemic and prevention and control; The average light loss and recovery intensity have a strong correlation with the regional population density during the outbreak period, and the correlation index R 2 is 0.97 and 0.91 respectively. The results of this study show that day-by-day luminous imaging has great potential in quickly extracting information on changes in the new crown pneumonia epidemic. Reference | Related Articles | Metrics

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GNSS-PWV calculation method based on the GPT-3 model GAO Ying, XU Siyi, LI Li, LU Houxian, HE Qimin, WANG Xiaoming Bulletin of Surveying and Mapping    2023, 0 (3): 44-48,103.   DOI: 10.13474/j.cnki.11-2246.2023.0070 Abstract （281）            Knowledge map    Save To solve the problem that precipitable water vapor (PWV) can't be calculated in real time without the measured meteorological parameters at some GNSS stations,taking the Yangtze River Delta region as an example, a new method to obtain high-precision PWV by combining GPT3 model with GNSS-ZTD is proposed in this paper. The results show that the meteorological parameters and some tropospheric delay parameters of GPT3 model have good stability and accuracies in the Yangtze River Delta region. The RMS of PWV obtained by integrating the parameters (ZHD and T m) of GPT3 model and GNSS-ZTD is 3.56 mm, which is close to GNSS-PWV (3.74 mm), and is far superior to GPT3-PWV (11.12 mm). Reference | Related Articles | Metrics

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Monitoring land subsidence of Hebei section of Beijing-Xiong'an intercity railway by time-series InSAR GE Pengfei, LIU Hui, CHEN Mi, LI Yu, DING Ruili, LIU Fei Bulletin of Surveying and Mapping    2022, 0 (7): 64-70.   DOI: 10.13474/j.cnki.11-2246.2022.0205 Abstract （275）            Knowledge map    Save In this paper, the spatial and temporal distribution of land subsidence along the Beijing-Xiong'an intercity railway (Hebei section), from Gu'an station to Xiong'an station, is obtained by using 34 Sentinel-1B images from 2018 to 2020 based on SBAS-InSAR technology. Then, the spatial autocorrelation analysis is used to understand the spatial distribution characteristics of land subsidence in the study area. Finally, the causes of subsidence are analyzed combined with the hydrological data. The results show that, the development of land subsidence along Hebei section of Beijing-Xiong'an intercity railway is different from north to south. The average annual settlement rate in the north is less than 10 mm/a, and the maximum annual settlement rate in the south is -105.6 mm/a, and the average annual settlement rate in the west is higher than that in the east. By analyzing the influencing factors, it can be concluded that there is a correlation between ground subsidence and groundwater depth, and the area with high groundwater depth has a higher ground subsidence. At the same time, combined with the results of land use change in the study area, it is found that the static load caused by urbanization has a certain impact on the land subsidence along the Beijing-Xiong'an intercity railway. Reference | Related Articles | Metrics

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Spatial distribution and analysis of debris flow in Jishishan county of Gansu province QIANG Dexia, MA Haizheng, ZHU Ziping, GOU Yanmei Bulletin of Surveying and Mapping    2022, 0 (7): 107-111,117.   DOI: 10.13474/j.cnki.11-2246.2022.0212 Abstract （271）            Knowledge map    Save Debris flow disasters are sudden, rapid and serious, easy to cause serious losses to people??s lives, property and social infrastructure construction. Taking the rainfall data when mudslide occurred in Jishishan county from August 2 to 3, 2018 as the critical value, combined with the data of environmental variables such as terrain and geomorphology, soil quality, vegetation coverage and hydrology in the region, it is found that the areas such as Liuji township, Shiyuan township and Dahejia township of Jishishan county are prone to high risk areas of debris flow disasters through data analysis with GIS technology. There are three main causes of local mudslides. ①The local vegetation is seriously damaged so that the soil is unstable and heavy rainfall easily causes debris flow. ②The research area belongs to the Loess Plateau landform, and debris flow is easy to occur under the erosion of water. ③ The damage along the Yellow River is more serious. In the flood season of summer and autumn, the water volume of the Yellow River increases sharply, and the soil without vegetation protection is severely eroded, providing material conditions for the occurrence of debris flow. Reference | Related Articles | Metrics

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Research on automatic hole repair method based on 3D modeling of UAV tilt photography XIE Wenjun, ZHANG Jialiang Bulletin of Surveying and Mapping    2022, 0 (12): 24-28,34.   DOI: 10.13474/j.cnki.11-2246.2022.0352 Abstract （270）            Knowledge map    Save Aiming at the problem of holes in the process of constructing real 3D scene by tilt photogrammetry, this paper looks for a method that can realize the automatic repair of holes. Through the compiled boundary shrinkage method processing program and using the spatial three processing results of tilt photogrammetry, the automatic hole repair of real 3D model is realized. Through the actual 3D modeling project of UAV tilt photography, the hole repair test is adopted to verify that the automatic hole repair method is feasible, and the model still has high a ContextCapture Centeruracy after hole repair. Reference | Related Articles | Metrics

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Tree canopy delineation using UAV multispectral imagery RAN Chongxian, LI Senlei Bulletin of Surveying and Mapping    2022, 0 (7): 112-117.   DOI: 10.13474/j.cnki.11-2246.2022.0213 Abstract （267）            Knowledge map    Save As one of the main components of trees,the canopy is an important parameter for tree growth and tree species identification, which is of great significance to forest resource survey and ecological research. Compared with traditional field surveys, UAV remote sensing technology is more efficient and convenient. This paper is based on UAV multi-spectral image for canopy extraction. We use local maximum algorithm and Mean Shift optimization for tree detection, whose detection accuracy is about 10% higher than the local maximum method. In addition, we design a new tree canopy delineation algorithm,which use dynamic programming algorithm to extract the global optimal boundary. Compared with the watershed segmentation algorithm, the proposed method has better results in sparse or denser forest. The F-score is increased by 12% in the sparse, and the F-score is increased by 28% in the desne. Reference | Related Articles | Metrics

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A method of simplification of 3D model based on CityGML NI Xiaodong, LIANG Junda, WU Longxiang, LIU Muyang Bulletin of Surveying and Mapping    2022, 0 (12): 29-34.   DOI: 10.13474/j.cnki.11-2246.2022.0353 Abstract （261）            Knowledge map    Save 3D real scene should meet the needs of managing natural resources, society and economics, which puts forward making basic geographic information products entitize. The simplification of 3D model is the key link of the transformation. Based on the experience of existing methods, this paper proposes a simplification method for 3D model based on CityGML. Based on two-dimensional vector of the solid profile of the figure vertex coordinates and elevation information, build polygons for walls, roof, etc. Combine the polygons into a simple three-dimensional expression. Then Texture map with Render to Texture technology (RTT), build 3D model for each two-dimensional vector by refactoring semantics and LOD levels based on CityGML. This method can successfully make 3D model entitize which occupies a small capacity, and meets various application demands of 3D real scene. Reference | Related Articles | Metrics

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Spatial and temporal dynamic change and influencing factors of ecological environment quality in Chaohu Lake basin based on GEE WANG Ying, LI Daiwei, ZHANG Fan, ZHU Huizi, LI Longwei, LI Nan Bulletin of Surveying and Mapping    2023, 0 (7): 7-13.   DOI: 10.13474/j.cnki.11-2246.2023.0193 Abstract （258）   HTML （19）    PDF（pc） （6645KB）（174）       Knowledge map    Save Taking Chaohu Lake basin as the research area, remote sensing ecological index (RSEI) is constructed through Google Earth Engine cloud computing platform, and large-scale and long-time dynamic monitoring analysis and evaluation of ecological environment quality in Chaohu Lake basin are carried out by means of spatial autocorrelation and geographic detectors based on Landsat TM/OLI series remote sensing data from 2000 to 2020. The results show that:①The average value of RSEI increased from 0.70 in 2000 to 0.74 in 2020, showing an overall improvement trend, and the ecological environment level is mainly excellent and good. ②The global Moran's I index of the study area is all greater than 0, and the ecological environment quality in Chaohu Lake basin presented a clustering trend on the global autocorrelation, with a significant spatial positive correlation. In the past 20 years, the low-low aggregation area had a trend of increasing firstly and then decreasing. ③The ecological environment is affected by many factors, among which human factors had a great impact on the ecological environment of Chaohu Lake basin in 2010, which leaded to the decline of ecological environment quality. Reference | Related Articles | Metrics

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Dual response of the Loess Plateau ecosystem to climate change and human activities JIANG Xiuwei, SHI Yun Bulletin of Surveying and Mapping    2023, 0 (7): 1-6.   DOI: 10.13474/j.cnki.11-2246.2023.0192 Abstract （256）            Knowledge map    Save In the context of climate change and increasingly intense human activities, to assess the spatial and temporal changes of ecological and environmental quality in the Loess Plateau region, this study takes the Loess Plateau as the study area based on the GEE platform, selects MODIS product data from 2000 to 2020 to construct the RSEI index, and uses the trend analysis method, standard deviation ellipse method, and residual analysis method to analyze the spatial and temporal changes of ecological and environmental quality in the Loess Plateau. The results show that: ①The RSEI of Loess Plateau has shown an increasing trend in the past 21 years, and its growth rate is 0.005/a ( p<0.01).②spatially, the RSEI is mainly increasing, accounting for 92.78% of the total area of the region, and keep improving trend in the future.③In terms of migration, the migration distance of poor grade is the largest, at 85.67 km, followed by good grade with 49.05 km; the smallest migration distance is medium grade with 30.18 km.④Both climate change and human activities have positive effects on the RSEI of Loess Plateau, and human activities are the main driving factor. Reference | Related Articles | Metrics

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Application of close to photogrammetry and BIM technology in component level 3D real scene construction of endangered ethnic buildings CAI Jun, JIANG Wei, WEN Riqiang, FENG Shengfeng Bulletin of Surveying and Mapping    2022, 0 (12): 19-23.   DOI: 10.13474/j.cnki.11-2246.2022.0351 Abstract （256）            Knowledge map    Save In order to improve and perfect the 3D real scene of traditional villages so as to achieve the purpose of inheriting and protecting the endangered ethnic buildings in traditional villages. Relying on the component level 3D real scene project of traditional villages in Guangxi, this paper uses the oblique photogrammetry to build the urban level 3D real scene of traditional villages, and uses the close photogrammetry and BIM to build the component level 3D real scene model of highly endangered ethnic buildings. The component level 3D real model map of traditional villages is a combination of oblique photography model and close photogrammetric model. According to the relevant information of the endangered ethnic buildings, including the appearance characteristics of the components, size information, endangered level, age and geographical location, this paper uses BIM technology to carry out parametric modeling, coding and warehousing, forming a searchable 3D real model database. Reference | Related Articles | Metrics

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Application of CatBoost model in water depth inversion KONG Ruiyao, XIE Tao, MA Ming, KONG Ruilin Bulletin of Surveying and Mapping    2022, 0 (7): 33-37.   DOI: 10.13474/j.cnki.11-2246.2022.0199 Abstract （251）            Knowledge map    Save In multispectral remote sensing water depth inversion research, the traditional water depth inversion models have some limitations due to many factors affecting the accuracy of water depth inversion. Machine learning algorithms are more advantageous in solving nonlinear and highly complex problems, and their application in some specific areas of water depth inversion can improve the inversion accuracy. In this paper, using Sentinel-2 multispectral remote sensing images and LiDAR bathymetry data, it constructs CatBoost water depth inversion model with Oahu as the study area and compares the inversion accuracy with traditional water depth inversion models as well as XGBoost and LightGBM models in Boosting. It's showed in the experimental results that R-Square, root mean square error, mean absolute error, and mean relative error of the tuned CatBoost water depth inversion model are 96.19%, 1.09 m, 0.77 m and 9.61%, and the accuracy of the model is the highest, and the effect is more better. Reference | Related Articles | Metrics

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Discussion on quality inspection technology for new fundamental surveying and mapping HAN Wenli, ZHANG Jixian, CHEN Haipeng, HUANG Haiying, ZHANG Libo, GE Juan, SHEN Jing, LU Yao Bulletin of Surveying and Mapping    2022, 0 (7): 148-153.   DOI: 10.13474/j.cnki.11-2246.2022.0220 Abstract （247）            Knowledge map    Save In view of the technical requirements and challenges brought to quality inspection by the innovation of concept, technology, product and organization mode in new fundamental surveying and mapping, aiming at improving the automatic and intelligent quality inspection ability, this paper constructs the quality inspection technical framework of new fundamental surveying and mapping. And proposes the research content and direction of modern quality inspection infrastructure and equipment, new theory and common technology, real-time data processing and quality inspection technology,networked service mode.Promote the application of big data, knowledge map, blockchain, cloud service and other technologies in new fundamental surveying and mapping quality inspection. Improve the quality assurance ability and level of new fundamental surveying and mapping, and support the transformation and high-quality development of fundamental surveying and mapping. Reference | Related Articles | Metrics

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Study on inversion of forest biomass by LiDAR and hyperspectral WEN Yuxiao, Lü Jie, MA Qingxun, ZHANG Peng, XU Ruling Bulletin of Surveying and Mapping    2022, 0 (7): 38-42.   DOI: 10.13474/j.cnki.11-2246.2022.0200 Abstract （244）            Knowledge map    Save Estimating forest aboveground biomass (AGB) is critical to achieving global carbon neutral goals. In this study, Howland forest in Maine, USA is taken as the research area. With the ground measured sample site data, different data sources (airborne LiDAR and hyperspectral remote sensing data) and machine learning algorithms (random forest, support vector machine, gradient boosting decision tree and K-nearest neighbor) are compared and analyzed. It is to improve the estimation accuracy of Howland forest AGB. The results show that the optimal accuracy of the model with airborne LiDAR and hyperspectral vegetation index variables is 0.874 and 0.868 respectively. The accuracy of the regression model with the combination of airborne LiDAR and hyperspectral vegetation index variables and gradient boosting decision tree is 0.927, that is, multi-source remote sensing data is better than a single data source. The synergistic use of LiDAR and hyperspectral data has applicability and application prospects for improving the accuracy of biomass estimates in areas such as Howland and beyond. Reference | Related Articles | Metrics