The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences

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EISSN : 2194-9034
Published by: Copernicus GmbH (10.5194)
Total articles ≅ 12,476
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T. Zhao, Y. Zhao, W. Liu, X. Zhu, R. Li, X. Wang, X. Zhai, Y. Zhang, Y. Peng, W. Ma
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, pp 645-651;

In the face of the problems that have emerged along with the rapid industrialization and urbanization in China in recent years, the country proposes to compile the national main functional area plan, divides the national land space into four types of main functional areas: optimized development, key development, restricted development and prohibited development, and carries out the compilation of the national main functional area plan at two levels: national and provincial. The spatial evaluation indexes of the country and the results of the main functional area planning are expressed graphically in the form of thematic maps to make them visual, intuitive and easier to understand. In this paper, we study the topic selection of the National Atlas of Main Functional Area Planning, and mainly introduce the research results of the atlas in topic selection research, content structure design and layout design based on the comprehensive analysis of national and provincial information and following the principles of topic selection.
L. Landrieu, E. Rupnik, S. Oude Elberink, C. Mallet, N. Paparoditis
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, pp 1-5;

Z. Tian, J. Zhou
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, pp 23-28;

In recent years, the quality control of surveying, mapping and geographic information engineering has attracted much attention because of its importance. On the basis of the quality control of the first phase of the 927 project and the western surveying and mapping project, in response to the supervision needs of major national surveying, mapping and geographic information projects, this paper is based on the needs of surveying and mapping supervision, characteristics, development status, this paper analyzes the limitations of traditional surveying and mapping supervision in national major surveying and mapping geographic information projects, and proposes an improved surveying and mapping supervision method, namely the concept of surveying and mapping technical supervision. The research determines that the content of technical supervision is divided into two parts: quality management control and stage achievement quality control, and analyzes its application characteristics. Through the application and effect analysis of technical supervision in actual projects, the advantages and feasibility of technical supervision are verified, which can effectively overcome the limitations of traditional surveying and mapping supervision. The research content of this paper can guide the development of the corresponding quality control work, and provide a reference for the quality control of major national projects.
F. Bianconi, M. Filippucci, S. Ceccaroni, M. Seccaroni
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, pp 487-492;

Landscape refers to the qualities of a place, the result of a structural, territorial and environmental component, and the attribution of meanings, which is certainly the fundamental issue of the interpretative process. Percepire etymologically derives from "per", which means "by means of, through", and "capere", which translates as "to take", "to collect" (information, sensory data), "to learn". Since images are derived from the territory, it is of first interest to propose a comparison between representations derived from automated processes on photographs and the synthetic data interpreting the territory inherent in the plans developed with GIS in order to obtain a more precise perceptual analysis. The emergence of new tools for the processing and reproduction of data offers new opportunities for the knowledge and representation of the landscape, in architectural and urban contexts, and the integrative support that these processes can bring to the representation of the qualities of a place have to be reinterpreted in a Spatial Information Dataset in order to make synthetic and intelligible information. Identifying specific themes by questioning these data through criteria and placing at the centre the capacity of the digital environment in its mathematisation to compare data, transforming them into information, in an automated process is aimed at the exploitation of Big Data and the full replicability of the procedure. In this way, it is possible to enter into the analysis of the quality of space, of that notion of landscape concieved as "that part of the territory perceived by the population that lives it".
Z. Jia, Y. Zhu, Y. Cao, M. Dong, L. Zhang, X. Zhou
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, pp 9-14;

Geomatics vocational education (VE) is very important for the high-quality development of geomatics industry and high-level supply of skilled talents. Firstly, the paper briefly introduced the development history of geomatics VE in China, and summarized the current status of geomatics VE. Secondly, the paper analysed the issues and problems of geomatics VE, including insufficient input, ambiguous orientation, slowly technology updating, weak teaching staff and closed communication environment. Next, the paper reported the recent reforms of geomatics VE, including the revision of discipline catalog, training objectives and requirements and recommended curriculum standards at different levels. Then, latest developments of teaching resources and training platform are discussed. Finally, the paper proposed an outlook of geomatics VE in China.
B. Fang, W. Tu, M. Li, J. Cao, W. Gao, Y. Yue, Q. Li
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, pp 521-528;

The Pearl River Delta (the PRD) is a strategic region for China’s development. Since the Reform and Opening up of China in 1983, the PRD has been growing from several isolated cities to one megacity region. Uncovering spatial characteristics is essential for the megacity region synergy, regional planning, and governance. Massive mobile phone location data contains hidden information of complex spatial networks. From the flow perspective, this study thereafter constructs a large-scale mobility network using long-period mobile phone location data. The Louvain method is adopted to detect spatial communities, which reveals the spatial cooperation within the detected area. The disparity filter is used to extract the backbone network, which unravels the geographical connection among these areas. An experiment in the PRD was conducted to investigate the spatial synergy in the PRD. The results suggest that the PRD is with a significant trend of spatial synergy; the backbone of mobility network demonstrates that Guangzhou and Shenzhen are the spatial cores; the East-West differences do exist, the closer to the central urban areas, the higher the degrees of spatial integration. These results will benefit the synergic spatial planning and governance of the PRD.
Y. Tal, E. Keinan, B. Haj Yehia, Y. Roi, T. Berkowich, H. Ronen
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, pp 567-572;

At the last decades the awareness of the role of developing and improving the technological means in order to support better response during disasters such as earthquake and huge forest fire, became critical. Hence, the first responders agencies (Firefighters, police, Red Cross, municipality etc.) requires a geospatial dataset to manage, operate, coordinate and make their decisions based on a "common language" in order to navigate in real time, and to cooperate "on the field" in an appropriate way for saving life’s.Due to the event of huge forest fire in the Carmel Forest at the northern area in the state of Israel, the Survey of Israel promoted the development and dissemination of National First Responders Geospatial Dataset (NFRGD) to all of the first responder’s agencies and municipalities.In the State of Israel, there are more than 1.9 million buildings and 160,000 km of roads and unpaved roads, but only about 30% have an unequivocal name or official number. Since all emergency forces use navigation applications to locate, plan the route and arrive to the event area, most of the buildings and roads cannot be located by means of navigation, because there is no unique identification for them. In these cases, the forces will base their way to the event on prior acquaintance with the area of activity. This knowledge exists only in the local emergency and rescue forces. In huge events, when forces are being enlisted from other service areas to help, and they are not familiar with the local geography, they must work and communicate based on common spatial database.The main challenges of the NFRGD development were:Designing a product that will be generic to the whole of the First Responders agencies.Dissemination of the dataset in frequency that enable the First Responders agencies IT to integrate the data set in their systems.Overcome complex use cases due to the complexity of the reality representation in National Topographic Data Base.This article will describe the methodology of the geo computation and algorithms, which implemented in the development of the NFRGD. The algorithms were characterized and developed by a joint team of representatives from the first responders, the chief scientist and systems analysts of the Survey of Israel (SOI).
S. R. C. Reyes,
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, pp 37-43;

The International Society for Photogrammetry and Remote Sensing Student Consortium (ISPRS SC) is an international organization that represents a constituency of the students and the young professionals with common interests and goals within ISPRS in the areas of photogrammetry, remote sensing and spatial information science. The ISPRS SC Board of Directors strengthened the organization’s foundations and increased its engagement in the Society from 2016 to 2022. Given the current global health crisis, selected members of the Board of Directors continued to serve in the ISPRS SC for a two-year extension and developed creative strategies in navigating the new normal. Building on the strengths of the organization and motivated by the incredible ideas of connecting and engaging the scientific community that emerged during the pandemic, we were able to transform challenges into opportunities through collaborations and sustained participation of our members. In this paper, we summarize all the activities of the Consortium from 2016 to 2022 and provide insights on the impacts and values of these initiatives to the organization and its members. We also elaborated on hosting the GeoMixers as virtual networking events with our partner organizations as well as organizing the virtual Google Earth Engine meetup in the Singapore Geospatial Festival, which was given the short title, [email protected] Outcomes of the Leadership and Service Mentoring Programme, the Consortium’s first mentorship and training programme for potential nominees for the incoming Board of Directors, demonstrated the remarkable potential of the youth in leading and engaging in relevant social and global issues and contributing to the scientific community. Sustaining our relevance to ISPRS, experiencing growth during the pandemic and understanding our roles as an international organization, the Consortium will continue to forge ahead and adapt to change to support the youth and contribute to building resilience and adaptability in our scientific community.
J. Huang, L. Xie, W. Wang, X. Li, R. Guo
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, pp 79-86;

Point clouds classification is the basis for 3D spatial information extraction and applications. The point-clusters-based methods are proved to be more efficient and accurate than the point-based methods, however, the precision of the classification is significantly affected by the segmentation errors. The traditional single-scale point clouds segmentation methods cannot segment complex objects well in urban scenes which will result in inaccurate classification. In this paper, a new multi-scale point clouds segmentation method for urban scene point clouds classification is proposed. The proposed method consists of two stages. In the first stage, to ease the segmentation errors caused by density anisotropy and unreasonable neighborhood, a multi-resolution supervoxels segmentation algorithm is proposed to segment the objects into small-scale clusters. Firstly, the point cloud is segmented into initial supervoxels based on geometric and quantitative constraints. Secondly, robust neighboring relationships between supervoxels are obtained based on kd-tree and octree. Furthermore, the resolution of supervoxels in the planar and low-density region is optimized. In the second stage, planar supervoxels are clustered into the large-scale planar point clusters based on the region growing algorithm. Finally, a mix of small-scale and large-scale point clusters is obtained for classification. The performance of the segmentation method in classification is compared with other segmentation methods. Experimental results revealed that the proposed segmentation method can significantly improve the efficiency and accuracy of point clouds classification than other segmentation methods.
H. Zhang, M. Du, W. Huang, L. Ding, D. Tang, J. Jiang
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, pp 639-644;

With the development of spatial information technology, the amount of geographic information data shows an explosive growth, which puts forward higher demands on the time efficiency and visualization effect of geographic information data release. vector tile maps have become the main map service mode in the fields of Internet maps and GIS industries because of the advantages of its powerful interactive capabilities, efficient data transmission and lower storage costs. In order to construct massive vector tiles quickly and enhance the scalability of vector tiles application, this paper researched the vector tiles construction technology based on the distributed computing framework. Firstly, we introduced the construction process of vector tiles such as pyramid model, data organization and data generalization, Specifically, the data generalization methods of different geometric types were discussed. Second, Apache Sedona, the distributed computing framework were researched and the advantages for vector data processing is introduced. Then, the Sedona based parallel construction technology is proposed, and pipeline optimization of Spark is applied in this process. Third, a comparative experiment to evaluate the performance were conducted, the result showed that the parallel construction technology had obvious performance advantages, the greater the volume and extent of vector data, the greater the advantage.
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