SolidEarth: a new Digital Earth system for the modeling and visualization of the whole Earth space

Liangfeng ZHU, Jianzhong SUN, Changling LI, Bing ZHANG

PDF(7680 KB)
PDF(7680 KB)
Front. Earth Sci. ›› 2014, Vol. 8 ›› Issue (4) : 524-539. DOI: 10.1007/s11707-014-0438-7
RESEARCH ARTICLE
RESEARCH ARTICLE

SolidEarth: a new Digital Earth system for the modeling and visualization of the whole Earth space

Author information +
History +

Abstract

Although many of the first-generation Digital Earth systems have proven to be quite useful for the modeling and visualization of geospatial objects relevant to the Earth’s surface and near-surface, they were not designed for the purpose of modeling and application in geological or atmospheric space. There is a pressing need for a new Digital Earth system that can process geospatial information with full dimensionality. In this paper, we present a new Digital Earth system, termed SolidEarth, as an alternative virtual globe for the modeling and visualization of the whole Earth space including its surface, interior, and exterior space. SolidEarth consists of four functional components: modeling in geographical space, modeling in geological space, modeling in atmospheric space, and, integrated visualization and analysis. SolidEarth has a comprehensive treatment to the third spatial dimension and a series of sophisticated 3D spatial analysis functions. Therefore, it is well-suited to the volumetric representation and visual analysis of the inner/outer spheres in Earth space. SolidEarth can be used in a number of fields such as geoscience research and education, the construction of Digital Earth applications, and other professional practices of Earth science.

Keywords

Digital Earth / Earth space / full dimensionality / visualization

Cite this article

Download citation ▾
Liangfeng ZHU, Jianzhong SUN, Changling LI, Bing ZHANG. SolidEarth: a new Digital Earth system for the modeling and visualization of the whole Earth space. Front. Earth Sci., 2014, 8(4): 524‒539 https://doi.org/10.1007/s11707-014-0438-7

References

[1]
Bailey J E, Chen A (2011). The role of Virtual Globes in geoscience. Comput Geosci, 37(1): 1–2
CrossRef Google scholar
[2]
Bernardin T, Cowgill E, Kreylos O, Bowles C, Gold P, Hamann B, Kellogg L (2011). Crusta: a new virtual globe for real-time visualization of sub-meter digital topography at planetary scales. Comput Geosci, 37(1): 75–85
CrossRef Google scholar
[3]
Bilitza D (2001). International Reference Ionosphere 2000. Radio Sci, 36(2): 261–275
CrossRef Google scholar
[4]
Butler D (2006). Virtual globes: the web-wide world. Nature, 439(7078): 776–778
CrossRef Pubmed Google scholar
[5]
Calcagno P, Chilès J P, Courrioux G, Guillen A (2008). Geological modelling from field data and geological knowledge: part I. Modelling method coupling 3D potential-field interpolation and geological rules. Phys Earth Planet Inter, 171(1–4): 147–157
CrossRef Google scholar
[6]
Craglia M, de Bie K, Jackson D, Pesaresi M, Remetey-Fülöpp G, Wang C, Annoni A, Bian L, Campbell F, Ehlers M, van Genderen J, Goodchild M, Guo H, Lewis A, Simpson R, Skidmore A, Woodgate P (2012). Digital Earth 2020: towards the vision for the next decade. Int J Digital Earth, 5(1): 4–21
CrossRef Google scholar
[7]
Craglia M, Goodchild M F, Annoni A, Camara G, Gould M, Kuhn W, Mark D, Masser I, Maguire D, Liang S, Parsons E (2008). Next-generation Digital Earth: a position paper from the Vespucci Initiative for the advancement of Geographic Information Science. Int J Spatial Data Infrastructures Res, 3: 146–167
[8]
de Floriani L, Falcidieno B (1988). A hierarchical boundary model for solid object representation. ACM Trans Graph, 7(1): 42–60
CrossRef Google scholar
[9]
De Paor D G, Whitmeyer S J (2011). Geological and geophysical modeling on virtual globes using KML, COLLADA, and Javascript. Comput Geosci, 37(1): 100–110
CrossRef Google scholar
[10]
Denver L F, Phillips D C (1990). Stratigraphic geocellular modeling. Geobyte, 5: 45–47
[11]
Dong S, Li T, Gao R, Hou H, Li Q, Li Y, Zhang S, Keller G R, Liu M (2011). A multidisciplinary Earth science research program in China. Eos Trans AGU, 92(38): 313–314
CrossRef Google scholar
[12]
Dziewonski A M, Anderson D L (1981). Preliminary reference Earth model. Phys Earth Planet Inter, 25(4): 297–356
CrossRef Google scholar
[13]
Fowler C M R (2005). The Solid Earth: An Introduction to Global Geophysics (2nd ed). Cambridge: Cambridge University Press, 685
[14]
Goodchild M F (2008). The use cases of digital earth. Int J Digital Earth, 1(1): 31–42
CrossRef Google scholar
[15]
Goodchild M F (2012). Discrete global grids: retrospect and prospect. Geography and Geo-Information Science, 28(1): 1–6
[16]
Goodchild M F, Guo H, Annoni A, Bian L, de Bie K, Campbell F, Craglia M, Ehlers M, van Genderen J, Jackson D, Lewis A J, Pesaresi M, Remetey-Fülöpp G, Simpson R, Skidmore A, Wang C, Woodgate P (2012). Next-generation Digital Earth. Proc Natl Acad Sci USA, 109(28): 11088–11094
CrossRef Pubmed Google scholar
[17]
Gore A (1999). The Digital Earth: Understanding our planet in the 21st Century. Photogramm Eng Remote Sensing, 65: 528–530
[18]
Guillen A, Calcagno P, Courrioux G, Joly A, Ledru P (2008). Geological modelling from field data and geological knowledge: part II. Modelling validation using gravity and magnetic data inversion. Phys Earth Planet Inter, 171(1–4): 158–169
CrossRef Google scholar
[19]
Guo H (2012). Digital Earth: a new challenge and new vision. Int J Digital Earth, 5(1): 1–3
CrossRef Google scholar
[20]
Hack R, Orlic B, Ozmutlu S, Zhu S, Rengers N (2006). Three and more dimensional modeling in geo-engineering. Bull Eng Geol Environ, 65(2): 143–153
CrossRef Google scholar
[21]
Jones C B (1989). Data structures for three-dimensional spatial information systems in geology. Int J Geogr Inform Syst, 3: 15–31
[22]
Kennett B L N, Engdahl E R, Buland R (1995). Constraints on seismic velocities in the Earth from traveltimes. Geophys J Int, 122(1): 108–124
CrossRef Google scholar
[23]
Li J, Wu H, Yang C, Wong D W, Xie J (2011). Visualizing dynamic geosciences phenomena using an octree-based view-dependent LOD strategy within virtual globes. Comput Geosci, 37(9): 1295–1302
CrossRef Google scholar
[24]
Li Z, Openshaw S (1993). A natural principle for the objective generalization of digital maps. Cartography and Geographic Information Systems, 20(1): 19–29
CrossRef Google scholar
[25]
Martínez-Graña A M, Goy J L, Cimarra C A (2013). A virtual tour of geological heritage: valourising geodiversity using Google Earth and QR code. Comput Geosci, 61: 83–93
CrossRef Google scholar
[26]
Mooney W D, Laske G, Masters T G (1998). CRUST 5.1: a global crustal model at 5°×5°. J Geophys Res, 103(B1): 727–747
CrossRef Google scholar
[27]
Navin J, de Hoog M (2011). Presenting geoscience using virtual globes. AusGeo News, 104: 15–19
[28]
Picone J M, Hedin A E, Drob D P, Aikin A C (2002). NRLMSISE-00 empirical model of the atmosphere: statistical comparisons and scientific issues. J Geophys Res, 107(A12): 1468–1483
CrossRef Google scholar
[29]
Postpischl L, Danecek P, Morelli A, Pondrelli S (2011). Standardization of seismic tomographic models and earthquake focal mechanisms data sets based on web technologies, visualization with keyhole markup language. Comput Geosci, 37(1): 47–56
CrossRef Google scholar
[30]
Royse K R, Rutter H K, Entwisle D C (2009). Property attribution of 3D geological models in the Thames Gateway, London: new ways of visualising geoscientific information. Bull Eng Geol Environ, 68(1): 1–16
CrossRef Google scholar
[31]
Shen D, Wong D W, Camelli F, Liu Y (2013). An ArcScene plug-in for volumetric data conversion, modeling and spatial analysis. Comput Geosci, 61: 104–115
CrossRef Google scholar
[32]
Turner A K (2006). Challenges and trends for geological modelling and visualization. Bull Eng Geol Environ, 65(2): 109–127
CrossRef Google scholar
[33]
Wang P, Xu Q, Li J S (2005). 3D modeling and visualization simulation of near-earth space environment elements. Journal of System Simulation, 17: 2957–2960 (in Chinese)
[34]
Wang Y, Huynh G, Williamson C (2013). Integration of Google Maps/Earth with microscale meteorology models and data visualization. Comput Geosci, 61: 23–31
CrossRef Google scholar
[35]
Wu L X (2004). Topological relations embodied in a generalized tri-prism (GTP) model for a 3D geoscience modeling system. Comput Geosci, 30(4): 405–418
CrossRef Google scholar
[36]
Wu Q, Xu H (2004). On three-dimensional geological modeling and visualization. Sci China Earth Sci, 47(8): 739–748
CrossRef Google scholar
[37]
Wu Q, Xu H, Zou X (2005). An effective method for 3D geological modeling with multi-source data integration. Comput Geosci, 31(1): 35–43
CrossRef Google scholar
[38]
Yang C, Raskin R, Goodchild M, Gahegan M (2010). Geospatial cyberinfrastructure: past, present and future. Comput Environ Urban Syst, 34(4): 264–277
CrossRef Google scholar
[39]
Yu J Q, Wu L X, Zi G J, Guo Z Z (2012). SDOG-based multi-scale 3D modeling and visualization on global lithosphere. Sci China Earth Sci, 55(6): 1012–1020
CrossRef Google scholar
[40]
Yu L, Gong P (2012). Google Earth as a virtual globe tool for Earth science applications at the global scale: progress and perspectives. Int J Remote Sens, 33(12): 3966–3986
CrossRef Google scholar
[41]
Zhang L Q, Guo Z F, Kang Z Z, Zhang L X, Zhang X M, Yang L (2009). Web-based visualization of spatial objects in 3DGIS. Sci China Inform. Sci., 52: 1588–1597
[42]
Zhu L, Wang X, Zhang B (2014). Modeling and visualizing borehole information on virtual globes using KML. Comput Geosci, 62: 62–70
CrossRef Google scholar
[43]
Zhu L, Zhang C, Li M, Pan X, Sun J (2012). Building 3D solid models of sedimentary stratigraphic systems from borehole data: an automatic method and case studies. Eng Geol, 127: 1–13
CrossRef Google scholar
[44]
Zhu L, Zhuang Z (2010). Framework system and research flow of uncertainty in 3D geological structure models. Min Sci Technol, 20: 306–311
[45]
Zhu Q, Gong J, Zhang Y (2007). An efficient 3D R-tree spatial index method for virtual geographic environments. ISPRS J Photogramm Remote Sens, 62(3): 217–224
CrossRef Google scholar

Acknowledgements

This research was supported by the National Science and Technology Program of China (Grant No. SinoProbe-08), the National Natural Science Foundation of China (Grant No. 40902093), the National Social Science Foundation of China (Grant No. 07CZZ019), the Development Foundation of Experimental Teaching Equipment in East China Normal University (Grant No. 64100010) and the Open Foundation of Shanghai Key Lab for Urban Ecological Processes and Eco-Restoration (Grant No. SHUES2011A06). We would like to thank the Editor and two anonymous reviewers for their helpful and constructive suggestions for improving the paper.

RIGHTS & PERMISSIONS

2014 Higher Education Press and Springer-Verlag Berlin Heidelberg
AI Summary AI Mindmap
PDF(7680 KB)

Accesses

Citations

Detail

Sections
Recommended

/