Distributed geospatial information processing: sharing distributed geospatial resources to support Digital Earth

2008 ◽  
Vol 1 (3) ◽  
pp. 259-278 ◽  
Author(s):  
Chaowei Yang ◽  
Wenwen Li ◽  
Jibo Xie ◽  
Bin Zhou
2019 ◽  
pp. 191-227
Author(s):  
Zhenlong Li ◽  
Zhipeng Gui ◽  
Barbara Hofer ◽  
Yan Li ◽  
Simon Scheider ◽  
...  

Abstract The increasing availability of geospatial data offers great opportunities for advancing scientific discovery and practices in society. Effective and efficient processing of geospatial data is essential for a wide range of Digital Earth applications such as climate change, natural hazard prediction and mitigation, and public health. However, the massive volume, heterogeneous, and distributed nature of global geospatial data pose challenges in geospatial information processing and computing. This chapter introduces three technologies for geospatial data processing: high-performance computing, online geoprocessing, and distributed geoprocessing, with each technology addressing one aspect of the challenges. The fundamental concepts, principles, and key techniques of the three technologies are elaborated in detail, followed by examples of applications and research directions in the context of Digital Earth. Lastly, a Digital Earth reference framework called discrete global grid system (DGGS) is discussed.


2018 ◽  
Vol 1 ◽  
pp. 1-4
Author(s):  
Vladimir S. Tikunov ◽  
Iryna N. Tikunova ◽  
Eugene N. Eremchenko

Sustainable development is one of the most important challenges for humanity and one of the priorities of the United Nations. Achieving sustainability of the whole World is a main goal of management at all levels – from personal to local to global. Therefore, decision making should be supported by relevant geospatial information system. Nevertheless, classical geospatial products, maps and GIS, violate fundamental demand of ‘situational awareness’ concept, well-known philosophy of decision-making – same representation of situation within a same volume of time and space for all decision-makers. Basic mapping principles like generalization and projections split the universal single model of situation on number of different separate and inconsistent replicas. It leads to wrong understanding of situation and, after all – to incorrect decisions. In another words, quality of the sustainable development depends on effective decision-making support based on universal global scale-independent and projection-independent model. This new way for interacting with geospatial information is a quantum leap in cartography method. It is implemented in the so-called ‘Digital Earth’ paradigm and geospatial services like Google Earth. Com-paring of both methods, as well as possibilities of implementation of Digital Earth in the sustain-able development activities, are discussed.


2010 ◽  
Vol 108-111 ◽  
pp. 319-323
Author(s):  
Gen Yuan Du ◽  
Fang Miao ◽  
Xi Rong Guo

This paper proposes a novel digital earth platform framework, which is a application, service and decision-making support systems of geospatial data acquisition, storage, transmission, conversion, processing, analysis, retrieval, expression and output as a unified body, the core of which is to deal with geospatial data for spatial geographic information network service Geo-Browser/Geospatial Information Server (G/S) mode and Hyper Geographic Markup Language (HGML). Depth understanding and analysis of platform architecture, this paper realizes of digital earth platform prototype – U-Star based on the geospatial information network service G/S mode, the platform has the merits of C/S mode that full use of client resources, efficient to deal with the client data, as well as the advantages of B/S mode that the unified client and convenient to access network. This platform is a new server which can cope with massive geospatial information and a solution which can provide efficient service. It has already been applied into many fields, such as the digital tourism service system, the time sequence analysis of Wenchuan Earthquake, the real-time video monitoring based on the digital earth platform and the intelligent processing and exhibition of remote sensing data. The result indicates that the perfection of space, time and complexion of the geospatial information network accessing will effectively improve the quality and efficiency of the shared data, which has very important theoretical significance and bright prospect of application.


2019 ◽  
pp. 495-526 ◽  
Author(s):  
Milan Konecny ◽  
Temenoujka Bandrova ◽  
Petr Kubicek ◽  
Silvia Marinova ◽  
Radim Stampach ◽  
...  

Abstract This chapter describes the state-of-the-art of the potential of Digital Earth for progressively better solutions for disaster mitigation. The chapter illustrates the use of strong Digital Earth tools for data sharing and important potential for users, such as 2D or multi-D visualizations. Milestones of developments in early warning, disaster risk management and disaster risk reduction concepts are highlighted as a continuous movement between sustainable development and original concepts of disaster risk reduction. Improved solutions have been based on new research directions formulated in Sustainable Development Goals tasks and by expanding the possibilities of new effective solutions via newly organized data ecosystems generated by the United Nations Global Geospatial Information Management, the Group on Earth Observations and the Group on Earth Observations System of Systems, Copernicus and, more recently, the Digital Belt and Road initiative. The new trends in spatial big data are emphasized; the most important for disaster risk reduction are the basic theses of the U.N. Conference in Sendai. This chapter describes three aspects: innovative Digital Earth development, national and local disaster risk assessment and the benefits arising from the use of maps and dynamic data, and analyses of the contributions of cartography to disaster risk reduction.


2019 ◽  
pp. 229-277 ◽  
Author(s):  
Arzu Çöltekin ◽  
Amy L. Griffin ◽  
Aidan Slingsby ◽  
Anthony C. Robinson ◽  
Sidonie Christophe ◽  
...  

Abstract In this chapter, we review and summarize the current state of the art in geovisualization and extended reality (i.e., virtual, augmented and mixed reality), covering a wide range of approaches to these subjects in domains that are related to geographic information science. We introduce the relationship between geovisualization, extended reality and Digital Earth, provide some fundamental definitions of related terms, and discuss the introduced topics from a human-centric perspective. We describe related research areas including geovisual analytics and movement visualization, both of which have attracted wide interest from multidisciplinary communities in recent years. The last few sections describe the current progress in the use of immersive technologies and introduce the spectrum of terminology on virtual, augmented and mixed reality, as well as proposed research concepts in geographic information science and beyond. We finish with an overview of “dashboards”, which are used in visual analytics as well as in various immersive technologies. We believe the chapter covers important aspects of visualizing and interacting with current and future Digital Earth applications.


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