A Survey of Digital Earth

Computers and Graphics (Pergamon)

Volumn 53, Issue , 2015, Pages 95-117

  Mahdavi Amiri, Ali ^a   Alderson, Troy ^a   Samavati, Faramarz ^a  

^a UNIVERSITY OF CALGARY   (Canada)

Author keywords

Digital Earth; Discrete Global Grid System; Geospatial visualization; Virtual Globe

Indexed keywords

DATA VISUALIZATION; VISUALIZATION;

DATA CREATION; DIGITAL EARTH; DIGITAL EARTH SYSTEM; DIGITAL REPRESENTATIONS; DISCRETE GLOBAL GRID SYSTEMS; GEO-SPATIAL DATA; GEOSPATIAL VISUALIZATION; VIRTUAL GLOBE;

DATA INTEGRATION;

EID: 84947753778     PISSN: 00978493     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.cag.2015.08.005     Document Type: Article

References (233)

1. Funkhouser T. Five principles for choosing research problems in computer graphics. In: ACM SIGGRAPH 2014 computer graphics achievement award talk, 2014.
2. J. Chen, X. Zhao, and Z. Li An algorithm for the generation of Voronoi diagrams on the sphere based on QTM Photogramm Eng Remote Sens 69 1 2004 79 89
3. H. Lukatela A seamless global terrain model in the Hipparchus system Discrete global grids: a web book 2002 University of California Santa Barbara (http://www.ncgia.ucsb.edu/globalgrids-book)
4. Brooks DR. Grid systems for Earth radiation budget experiment applications. In: NASA technical memorandum NASA scientific and technical information branch, 1981.
5. Google Inc. Google Earth. URL: (http://earth.google.com).
6. PYXIS Innovation Inc. How PYXIS works. URL: (http://www.pyxisinnovation.com/pyxwiki/index.php?title=How-PYXIS-Works), 2015.
7. Virtual Terrain Project. URL: (http://vterrain.org/), 2015.
8. Gruen A. GEO informatics - in the spotlight - satellite versus aerial images - not always a matter of choice! URL: (http://www.geoinformatics.com/blog/in-the-spotlight/satellite-versus-aerial-images-not-always-a-matter-of-choice), 2012.
9. J. Zhang, P. Atkinson, and M.F. Goodchild Scale in spatial information and analysis 2014 CRC Press Boca Raton, Florida, USA
10. L. Williams Pyramidal parametrics ACM SIGGRAPH Comput Graph 17 3 1983 1 11
11. C. Han, and H. Hoppe Optimizing continuity in multiscale imagery ACM Trans Graph 29 6 2010 171:1-10
12. M. Lancelle, and D.W. Fellner Smooth transitions for large scale changes in multi-resolution images: vision modeling and visualization 2011 The Eurographics Association
13. R. Kooima, J. Leigh, A. Johnson, D. Roberts, M. SubbaRao, and T.A. DeFanti Planetary-scale terrain composition IEEE Trans Vis Comput Graph 15 5 2009 719 733
14. K. Sahr Location coding on icosahedral aperture 3 hexagon discrete global grids Comput Environ Urban Syst 32 3 2008 174 187
15. J.B. Campbell, and R.H. Wynne Introduction to remote sensing 5th ed. 2011 Guilford Publications
16. E. Mikhail, J. Bethel, and J. McGlone Introduction to modern photogrammetry 2001 Wiley New York, USA
17. H. Zhou, J. Sun, G. Turk, and J.M. Rehg Terrain synthesis from digital elevation models IEEE Trans Vis Comput Graph 13 4 2007 834 848
18. Štava O, Beneš B, Brisbin M, Křivánek J. Interactive terrain modeling using hydraulic erosion. In: Proceedings of the 2008 ACM SIGGRAPH/Eurographics symposium on computer animation, SCA08. Dublin, Ireland: Eurographics Association; 2008. p. 201-10.
19. Tasse FP, Emilien A, Cani M-P, Hahmann S, Bernhardt A. First person sketch-based terrain editing. In: Proceedings of the graphics interface conference, GI14. Montreal, Quebec, Canada: Canadian Information Processing Society; 2014. p. 217-24.
20. Schneider J, Boldte T, Westermann R. Real-time editing, synthesis, and rendering of infinite landscapes on GPUs. In: Proceedings of vision, modeling and visualization, 2006.
21. D.S. Ebert Texturing & modeling: a procedural approach 2003 Morgan Kaufmann Burlington, USA
22. J. Brosz, F.F. Samavati, and M.C. Sousa Terrain synthesis by-example Commun Comput Inf Sci: Adv Comput Graph Compur Vis 4 2008 58 77
23. E. Danovaro, L. de Floriani, P. Magillo, E. Puppo, and D. Sobrero Level-of-detail for data analysis and exploration: a historical overview and some new perspectives Comput Graph 30 3 2006 334 344
24. L. de Floriani, and E. Puppo A hierarchical triangle-based model for terrain description Theories and methods of spatio-temporal reasoning in geographic space. Lecture notes in computer science 1992 Springer Berlin, Heidelberg 236 251
25. R. Pajarola, and E. Gobbetti Survey of semi-regular multiresolution models for interactive terrain rendering Vis Comput 23 8 2007 583 605
26. K. Weiss, and L. de Floriani Simplex and diamond hierarchies: models and applications Comput Graph Forum 30 8 2011 2127 2155
27. Natali M, Lidal EM, Parulek J, Viola I, Patel D. Modeling terrains and subsurface geology. In: EuroGraphics 2013 state of the art reports (STARs), 2013. p. 155-73.
28. P. Cozzi, and K. Ring 3D engine design for virtual globes 1st ed 2011 CRC Press Boca Raton, Florida, USA
29. P. Longley Geographic information systems and science 2nd ed 2005 Wiley New York, USA
30. A. Boyko, and T. Funkhouser Extracting roads from dense point clouds in large scale urban environment ISPRS J Photogramm Remote Sens 66 6 2011 S2 S12
31. F. Rottensteiner Automatic generation of high-quality building models from lidar data IEEE Comput Graph Appl 23 6 2003 42 50
32. J.B. Mena State of the art on automatic road extraction for GIS update: a novel classification Pattern Recognit Lett 24 16 2003 3037 3058
33. S. Clode, F. Rottensteiner, P. Kootsookos, and E. Zelniker Detection and vectorization of roads from lidar data Photogramm Eng Remote Sens 73 5 2007 517 535
34. X. Hu, C.V. Tao, and Y. Hu Automatic road extraction from dense urban area by integrated processing of high resolution imagery and lidar data Int Arch Photogramm Remote Sens Spatial Inf Sci 35 2 2004 88 92
35. C. Heipke, H. Mayer, C. Wiedemann, and O. Jamet Evaluation of automatic road extraction Int Arch Photogramm Remote Sens 32 3 1997 151 160
36. Fortier A, Ziou D, Armenakis C, Wang S. Survey of work on road extraction in aerial and satellite images. Technical report. Département de mathématiques et dínformatique, Université de Sherbrooke; 1999.
37. Shackelford A, Davis C. Fully automated road network extraction from high-resolution satellite multispectral imagery. In: Proceedings of the IEEE international geoscience and remote sensing symposium, 2003, IGARSS, vol. 1,03, 2003. p. 461-3.
38. M.-F.A. Fortier, D. Ziou, C. Armenakis, and S. Wang Automated correction and updating of road databases from high-resolution imagery Can J Remote Sens 27 1 2001 76 89
39. Mayer H, Laptev I, Baumgartner A. Multi-scale and snakes for automatic road extraction. In: Computer vision - ECCV98. Lecture notes in computer science, vol. 1407. Berlin, Heidelberg: Springer; 1998. p. 720-33.
40. Brovelli MA, Cannata M, Longoni UM. Managing and processing LIDAR data within GRASS. In: Proceedings of the GRASS users conference, vol. 29, 2002.
41. McCrae JP. Sketch-based path design [Masters thesis]. University of Toronto; 2008.
42. Applegate CS, Laycock SD, Day, AM. A sketch-based system for highway design with user-specified regions of influence. Comput Graph 2012;36(6):685-95. 2011 Joint symposium on computational aesthetics (CAe), non-photorealistic animation and rendering (NPAR), and sketch-based interfaces and modeling (SBIM).
43. G. Chen, G. Esch, P. Wonka, P. Müller, and E. Zhang Interactive procedural street modeling ACM Trans Graph 27 3 2008 103:1 103:10
44. Applegate CS, Laycock SD, Day AM. A sketch-based system for highway design. In: Proceedings of the 8th Eurographics symposium on sketch-based interfaces and modeling, SBIM11. Vancouver, Canada: ACM; 2011. p. 55-62.
45. Smelik R, Tutenel T, de Kraker KJ, Bidarra R. Integrating procedural generation and manual editing of virtual worlds. In: Proceedings of the workshop on procedural content generation in games. Monterey, California, USA: ACM; 2010. p. 2:1-8.
46. E. Galin, A. Peytavie, N. Maréchal, and E. Guérin Procedural generation of roads Comput Graph Forum 29 2 2010 429 438
47. R. Smelik, T. Tutenel, K. de Kraker, and R. Bidarra A declarative approach to procedural modeling of virtual worlds Comput Graph 35 2 2011 352 363
48. A. Emilien, A. Bernhardt, A. Peytavie, M.-P. Cani, and E. Galin Procedural generation of villages on arbitrary terrains Vis Comput 28 6-8 2012 809 818
49. R.M. Smelik, T. Tutenel, R. Bidarra, and B. Benes A survey on procedural modelling for virtual worlds Comput Graph Forum 33 6 2014 31 50
50. Schneider M, Klein R. Efficient and accurate rendering of vector data on virtual landscapes. In: Proceedings of the 15th international conference in Central Europe on computer graphics, visualization and computer vision, WSCG07. Plzen - Bory, Czech Republic: Václav Skala-UNION Agency; 2007.
51. Schneider M, Guthe M, Klein R. Real-time rendering of complex vector data on 3D terrain models. In: Proceedings of the 11th international conference on virtual systems and multimedia, Seoul, South Korea; 2005. p. 573-82.
52. Vaaraniemi M, Treib M, Westermann R. High-quality cartographic roads on high-resolution DEMs. In: Proceedings of the 15th international conference in Central Europe on computer graphics, visualization and computer vision, WSCG07. Plzen - Bory, Czech Republic: Václav Skala-UNION Agency; 2011.
53. Deng B, Xu D, Zhang J, Song C. Visualization of vector data on global scale terrain. In: Proceedings of the 2nd international conference on computer science and electronics engineering. Hangzhou, China: Atlantis Press; 2013.
54. M. Zhou, J. Chen, and J. Gong A virtual globe-based vector data model: quaternary quadrangle vector tile model Int J Digital Earth 2015 1 22 http://dx.doi.org/10.1080/17538947.2015.1016558
55. Kersting O, Döllner J. Interactive 3D visualization of vector data in GIS. In: Proceedings of the 10th ACM international symposium on advances in geographic information systems. McLean, VA, USA: ACM; 2002. p. 107-12.
56. Schilling A, Basanow J, Zipf A, Vector based mapping of polygons on irregular terrain meshes for web 3D map services. In: Proceedings of the 3rd international conference on web information systems and technologies, WEBIST07, 2007. p. 198-205.
57. Agrawal A, Radhakrishna M, Joshi R. Geometry-based mapping and rendering of vector data over LOD phototextured 3D terrain models. In: Proceedings of WSCG06, 2006.
58. Qiao Z, Weng J, Sui Z, Cai H, Zhang X. A rapid visualization method of vector data over 3D terrain. In: Proceedings of the 19th international conference on geoinformatics, 2011. p. 1-5.
59. Wenbin S, Shigang S, Feng C, Lichao Z. Geometry-based mapping of vector data and DEM based on hierarchical longitude/latitude grids. In: Proceedings of the 2nd IITA international conference on geoscience and remote sensing, IITA-GRS10, vol. 1, 2010. p. 215-8.
60. Wartell Z, Kang E, Wasilewski T, Ribarsky W, Faust N. Rendering vector data over global, multi-resolution 3D terrain. In: Proceedings of the symposium on data visualisation, VISSYM03, 2003. p. 213-22.
61. S. Nebiker, S. Bleisch, and M. Christen Rich point clouds in virtual globes - a new paradigm in city modeling? Comput Environ Urban Syst 34 6 2010 508 517
62. J. Otepka, S. Ghuffar, C. Waldhauser, R. Hochreiter, and N. Pfeifer Georeferenced point clouds: a survey of features and point cloud management ISPRS Int J Geo-Inf 2 4 2013 1038 1065
63. Hengel A, Dick A, Thormahlen T, Ward B, Torr PHS. Interactive 3D model completion. In: Proceedings of digital image computing: techniques and applications, DICTA07. Glenelg, Australia: IEEE; 2007. p. 175-81.
64. S. Agarwal, Y. Furukawa, N. Snavely, I. Simon, B. Curless, S.M. Seitz, and et al. Building Rome in a day Commun ACM 54 10 2011 105 112
65. P. Musialski, P. Wonka, D.G. Aliaga, M. Wimmer, L. van Gool, and W. Purgathofer A survey of urban reconstruction Comput Graph Forum 32 6 2013 146 177
66. C. Zhang Fundamentals of environmental sampling and analysis 2007 Wiley New York City, NY, USA
67. Food and Agriculture Organization of the United Nations. Guidelines for the routine collection of capture fishery data. FAO fisheries technical paper, vol. 382, 1999. URL: (https://books.google.ca/books?id=hf71w8WYGRIC).
68. Vesely J. Guidance for choosing a sampling design for environmental data collection. Washington, DC, USA: US Environmental Protection Agency, Proquest, Umi Dissertation Publishing; 2011.
69. D. White, J.A. Kimerling, and S.W. Overton Cartographic and geometric components of a global sampling design for environmental monitoring Cartogr Geogr Inf Sci 19 1 1992 5 22
70. Goodchild MF. Discrete global grids for digital Earth. In: Proceedings of the 1st international conference on discrete global grids, 2000.
71. K. Sahr, D. White, and A.J. Kimerling Geodesic discrete global grid systems Cartogr Geogr Inf Sci 30 2 2003 121 134
72. Cignoni P, Ganovelli F, Gobbetti E, Marton F, Ponchio F, Scopigno R. Planet-sized batched dynamic adaptive meshes (P-BDAM). In: Proceedings of IEEE visualization, VIS03. Seattle, WA, USA: IEEE Computer Society; 2003. p. 147-55.
73. N. Greene Environment mapping and other applications of world projections IEEE Comput Graph Appl 6 11 1986 21 29
74. Compton K, Grieve J, Goldman E, Quigley O, Stratton C. Todd E, et al. Creating spherical worlds. In: SIGGRAPH07: ACM SIGGRAPH 2007 sketches. San Diego, California, USA: ACM; 2007.
75. Grimm CM. Simple manifolds for surface modeling and parameterization. In: Proceedings of shape modeling international, SMI02, 2002. p. 237-44.
76. Alborzi H. Geometric issues in spatial indexing [Masters thesis]. College Park: University of Maryland; 2006.
77. G.H. Dutton A hierarchical coordinate system for geoprocessing and cartography. Lecture notes in earth sciences 1999 Springer Berlin, Heidelberg
78. Lee M, Samet H. Traversing the triangle elements of an icosahedral spherical representation in constant time. In: Proceedings of the 8th international symposium on spatial data handling, 1998. p. 22-33.
79. K. Sahr Hexagonal discrete global grid systems for geospatial computing Arch Photogramm Cartogr Remote Sens 22 2011 363 376
80. He X, Jia W. Hexagonal structure for intelligent vision. In: Proceedings of the 1st international conference of information and communication technologies, ICIT05, 2005. p. 52-64.
81. Kamgar-Parsi B, Kamgar-Parsi B, Sander III WA. Quantization error in spatial sampling: comparison between square and hexagonal pixels. In: Proceedings of the IEEE computer society conference on computer vision and pattern recognition, CVPR89, 1989. p. 604-11.
82. Snyder J, Mitchell D. Sampling-efficient mapping of spherical images. Technical report. Microsoft Research; 2001.
83. A. Vince Indexing the aperture 3 hexagonal discrete global grid J Vis Commun Image Represent 17 6 2006 1227 1236
84. A. Vince, and X. Zheng Arithmetic and fourier transform for the PYXIS multi-resolution digital Earth model Int J Digital Earth 2 1 2009 59 79
85. X. Tong, J. Ben, Y. Wang, Y. Zhang, and T. Pei Efficient encoding and spatial operation scheme for aperture 4 hexagonal discrete global grid system Int J Geogr Inf Sci 27 5 2013 898 921
86. Sahr K. Central place indexing systems. US Patent Application 20120206494 (filed October 28, 2010); 2010
87. D. White Global grids from recursive diamond subdivisions of the surface of an octahedron or icosahedron Environ Monit Assess 64 1 2000 93 103
88. M.F. Goodchild, and Y. Shiren A hierarchical spatial data structure for global geographic information systems CVGIP, Graph Models Image Process 54 1 1992 31 44
89. Ben J, Tong X, Chen R. A spatial indexing method for the hexagon discrete global grid system. In: Proceedings of the 18th international conference on geoinformatics, 2010. p. 1-5.
90. Alborzi H, Samet H, Augmenting SAND with a spherical data model. In: Proceedings of the international conference on discrete global grids, 2000.
91. SEEGrid, WebHome < SCENZGrid < SEEGrid, (https://www.seegrid.csiro.au/wiki/SCENZGrid/WebHome).
92. K.M. Górski, E. Hivon, A.J. Banday, B.D. Wandelt, F.K. Hansen, M. Reinecke, and et al. HEALPix: a framework for high-resolution discretization and fast analysis of data distributed on the sphere Astrophys J 622 2 2005 759
93. Mahdavi-Amiri A, Bhojani F, Samavati FF. One-to-two digital Earth. In: Proceedings of the international symposium on visual computing, ISVC13, 2013. p. 681-92.
94. J.P. Snyder An equal area map projection for polyhedral globes Cartographica 29 1992 10 21
95. Wickman FE, Elvers E, Edvarson K. A system of domains for global sampling problems. Geogr Ann Ser A, Phys Geogr 1974;56(3/4):201-12.
96. Fekete G, Treinish LA. Sphere quadtrees: a new data structure to support the visualization of spherically distributed data. In: Proceedings of SPIE 1259. Extracting meaning from complex data: processing, display, interaction, 1990. p. 242-53.
97. Peterson P. Close-packed, uniformly adjacent, multiresolutional, overlapping spatial data ordering. US Patent 8,400,451 (issued March 19, 2013); 2004.
98. Szalay AS, Gray J, Fekete G, Kunszt PZ, Kukol P, Thakar A. Indexing the sphere with the hierarchical triangular mesh. Technical report MSR-TR-2005-123. Microsoft Research; 2005
99. A. Mahdavi-Amiri, E. Harrison, and F.F. Samavati Hexagonal connectivity maps for digital Earth Int J Digital Earth 2014 1 20
100. L. Middleton, and J. Sivaswamy Hexagonal image processing: a practical approach Advances in computer vision and pattern recognition 2005 Springer-Verlag London
101. I.P. Ivrissimtzis, N.A. Dodgson, and M.A. Sabin A generative classification of mesh refinement rules with lattice transformations Comput-Aided Geom Des 21 1 2004 99 109
102. R. Sadourny, A. Arakawa, and Y. Mintz Integration of the nondivergent barotropic vorticity equation with an icosahedral-hexagonal grid for the sphere Mon Weather Rev 96 6 1968 351 356
103. J. Thuburn A PV-based shallow-water model on a hexagonal-icosahedral grid Mon Weather Rev 125 9 1997 2328 2347
104. Tong X, Ben J, Wang Y. A new effective hexagonal discrete global grid system: hexagonal quad balanced structure. In: Proceedings of the 18th international conference on geoinformatics, 2010. p. 1-6.
105. Snyder JP. Map projections - a working manual. Washington, DC, USA: US Government Printing Office; 1987.
106. J.P. Snyder Flattening the Earth: two thousand years of map projections 1997 University of Chicago Press Chicago, USA
107. E. Grafarend, and F. Krumm Map projections: cartographic information systems 2006 Springer Berlin, Germany
108. Harrison E. Equal area spherical subdivision [Masters thesis]. 2012.
109. F. Pearson Projections: theory and applications 1990 CRC Press Boca Raton, USA
110. Hormann K, Lévy B, Sheffer A. Mesh parameterization: theory and practice. In: SIGGRAPH07: ACM SIGGRAPH 2007 courses. San Diego, California, USA: ACM; 2007.
111. M. Abate, and F. Tovena Curves and surfaces 2012 Springer Milan
112. do Carmo MP. Differential geometry of curves and surfaces. Upper Saddle River, NJ, USA: Prentice-Hall, Inc.; 1976 [chapters 4-6].
113. R. Schmidt, C. Grimm, and B. Wyvill Interactive decal compositing with discrete exponential maps ACM Trans Graph 25 3 2006 605 613
114. P. Grohs, and J. Wallner Definability and stability of multiscale decompositions for manifold-valued data J Frankl Inst 349 5 2012 1648 1664
115. S.R. Buss, and J.P. Fillmore Spherical averages and applications to spherical splines and interpolation ACM Trans Graph 20 2 2001 95 126
116. D. Roşca, and G. Plonka Uniform spherical grids via equal area projection from the cube to the sphere J Comput Appl Math 236 6 2011 1033 1041
117. D. van Leeuwen, and D. Strebe A slice-and-dice approach to area equivalence in polyhedral map projections Cartogr Geogr Inf Sci 33 4 2006 269 286
118. A. Holhos, and D. Roşca An octahedral equal area partition of the sphere and near optimal configurations of points Comput Math Appl 67 5 2014 1092 1107
119. Fuller, R.B. Life Presents R. Buckminster Fuller's Dymaxion World, 1943, https://books.google.ca/books?id=ljKaPgAACAAJ
120. E. Praun, and H. Hoppe Spherical parametrization and remeshing ACM Trans Graph 22 3 2003 340 349
121. A. Sheffer, C. Gotsman, and N. Dyn Robust spherical parameterization of triangular meshes 2004 Springer Vienna
122. Harrison E, Mahdavi-Amiri A, Samavati FF. Optimization of inverse Snyder polyhedral projection. In: Proceedings of the 2011 international conference on cyberworlds, CW11, 2011. p. 136-43.
123. E. Harrison, A. Mahdavi-Amiri, and F.F. Samavati Analysis of inverse Snyder optimizations Trans Comput Sci 16 2012 134 148
124. Lambers M, Kolb A. Ellipsoidal cube maps for accurate rendering of planetary-scale terrain data. In: Proceedings of the Pacific conference on computer graphics and applications, PGP12, 2012. p. 5-10.
125. A.M. Dimitrijević, and D.D. Rančić Ellipsoidal clipmaps - a planet-sized terrain rendering algorithm Comput Graph 52 2015 43 61
126. Google Inc. Google Earth projection. URL: (https://support.google.com/earth/answer/148110?hl=en), 2015.
127. E.D. Kaplan, and C.J. Hegarty Understanding GPS: principles and applications 2nd ed 2006 Artech House, Inc. Norwood, USA
128. National Geospatial - Intelligence Agency (NGA). Nga standardization document - implementation practice web mercator projection. URL: (http://earth-info.nga.mil/GandG/wgs84/web-mercator/).
129. Google Inc. Google Maps coordinates. URL: (https://developers.google.com/maps/documentation/android/tileoverlay), 2015.
130. A. Mahdavi-Amiri, F.F. Samavati, and P. Peterson Categorization and conversions for indexing methods of discrete global grid systems ISPRS Int J Geo-Inf 4 2015 320 336
131. I. Gargantini An effective way to represent quadtrees Commun ACM 25 12 1982 905 910
132. Pascucci V, Frank RJ. Global static indexing for real-time exploration of very large regular grids. In: Proceedings of the ACM/IEEE conference on supercomputing. Denver, Colorado: IEEE; 2001. p. 363-370.
133. Bai J, Zhao X, Chen J. Indexing of the discrete global grid using linear quadtree, 2005. p. 267-70.
134. J.J. Bartholdi III, and P. Goldsman Continuous indexing of hierarchical subdivisions of the globe Int J Geogr Inf Sci 15 2000 489 522
135. Mahdavi-Amiri A, Samavati FF. Connectivity maps for subdivision surfaces. In: GRAPP/IVAPP, 2012. p. 26-37.
136. A. Mahdavi-Amiri, and F.F. Samavati Atlas of connectivity maps Comput Graph 39 2014 1 11
137. G. Sellers, J. Obert, P. Cozzi, K. Ring, E. Persson, J. de Vahl, and et al. Rendering massive virtual worlds. In: SIGGRAPH13: ACM SIGGRAPH 2013 courses 2013 ACM
138. Cozzi P, Bagnell D. A WebGL globe rendering pipeline. In: GPU Pro 4: advanced rendering techniques. A.K. Peters, Boca Raton, USA: CRC Press; 2013. URL: (https://books.google.se/books?id=TUuhiPLNmbAC).
139. T. Bernardin, E. Cowgill, O. Kreylos, C. Bowles, P. Gold, B. Hamann, and et al. Crusta: a new virtual globe for real-time visualization of sub-meter digital topography at planetary scales Comput Geosci 37 1 2011 75 85
140. Westerteiger R, Gerndt A, Hagen H, Hamann B. A rapid visualization method of vector data over 3D terrain. In: Proceedings of the IRTG workshop on visualization of large and unstructured data sets, VLUDS11, 2011. p. 13-23.
141. Thorne C. Using a floating origin to improve fidelity and performance of large, distributed virtual worlds. In: Proceedings of the 2005 international conference on cyberworlds, CW05, 2005.
142. Ohlarik D. Precisions, precisions (http://blogs.agi.com/insight3d/index.php/2008/09/03/precisions-precisions/), 2008.
143. Tanner CC, Migdal CJ, Jones MT. The clipmap: a virtual mipmap. In: Proceedings of SIGGRAPH98. Annual conference series, 1998. p. 151-8.
144. F. Losasso, and H. Hoppe Geometry clipmaps: terrain rendering using nested regular grids ACM Trans Graph 23 3 2004 769 776
145. Clasen M, Hege H-C. Terrain rendering using spherical clipmaps. In: Proceedings of the Eurographics conference on visualization, EUROVIS06, 2006.
146. Mahdavi-Amiri A, Samavati FF. Adaptive atlas of connectivity maps. In: Proceedings of the 8th international conference on curves and surfaces. Lecture notes in computer science. Paris, France: Springer; 2014.
147. Pakdel H-R, Samavati FF. Incremental adaptive loop subdivision. In: Computational science and its applications. Lecture notes in computer science. Berlin, Heidelberg: Springer; 2004. p. 237-46.
148. Keysers J. Review of digital globes 2015 (http://www.crcsi.com.au/assets/Resources/Globe-review-paper-March-2015.pdf), 2015.
149. Hivon E, Gorski K, Reinecke M. HEALPix, data analysis, simulations and visualization on the sphere (http://sourceforge.net/projects/healpix/).
150. Landcare Research. Landcare Research - Manaaki Whenua (http://www.landcareresearch.co.nz/home).
151. GNS Science. Home - GNS Science (http://www.gns.cri.nz/).
152. Dutton GH. Zenithial orthotriangular projection. In: Proceedings of auto-carto, vol. 10, 1991. p. 77-95.
153. PLA Information Engineering University. Hierarchical encoding, operation and indexing method of hexagonal grid with aperture of 4. CN Patent 102,281,075 (issued March 6, 2013); 2013.
154. Presagis. Common Database (CDB) Presagis (http://www.presagis.com/products-services/standards/cdb/).
155. Presagis. Common Database (CDB) API Presagis (http://www.presagis.com/products-services/products/modeling-simulation/free-tools/cdb-api/).
156. T. Rees C-Squares, a new spatial indexing system and its applicability to the description of oceanographic datasets Oceanography 16 1 2003 11 19
157. CSIRO. CSIRO marine and atmospheric research (http://www.cmar.csiro.au/).
158. CSIRO. C-squares home page (http://www.cmar.csiro.au/csquares/).
159. Bar-Zeev A. How Google Earth [really] works (http://www.realityprime.com/blog/2007/07/how-google-earth-really-works/), 2007.
160. Tanner C. Asynchronous multilevel texture pipeline. US patent 6,618,053; 2003.
161. Schwartz J. Bing Maps tile system (http://msdn.microsoft.com/en-us/library/bb259689.aspx).
162. Skyline Software Systems Inc. Skyline globe (http://www.skylinesoft.com/SkylineGlobe/corporate/home/index.aspx?), 2015.
163. NASA. World Wind Java SDK (http://worldwind.arc.nasa.gov/java/).
164. Přidal KP. Tiles à la google maps: coordinates, tile bounds and projection (http://www.maptiler.org/google-maps-coordinates-tile-bounds-projection/), 2008.
165. Analytical Graphics, Inc. (AGI). Cesium (http://cesiumjs.org/), 2015.
166. Telespazio, Globweb. (http://demonstrator.telespazio.com/GlobWeb/), 2015.
167. J.-Q. Yu, L.-X. Wu, G.-J. Zi, and Z.-Z. Guo SDOG-based multi-scale 3D modeling and visualization on global lithosphere Sci China Earth Sci 55 6 2012 1012 1020
168. Jie-Qing Y, Li-Xin W. Spatial subdivision and coding of a global three-dimensional grid: spheroid degenerated-octree grid. In: Proceedings of the IEEE international geoscience and remote sensing symposium, IGARSS09, 2009. p. II-361-4.
169. D. Butler Virtual globes: the web-wide world Nature 439 7078 2006 776 778
170. B.T. Tuttle, S. Anderson, and R. Huff Virtual globes: an overview of their history, uses, and future challenges Geogr Compass 2 5 2008 1478 1505
171. Grossner KE, Clarke KC. Is Google Earth, "digital Earth?": defining a vision. In: Proceedings of the 5th international symposium on digital Earth, 2007.
172. M. Craglia, K. de Bie, D. Jackson, M. Pesaresi, G. Remetey-Fülöpp, C. Wang, and et al. Digital Earth 2020: towards the vision for the next decade Int J Digital Earth 5 1 2012 4 21
173. Goodchild MF, Guo H, Annoni A, Bian L, de Bie K, Campbell F, et al. Next-generation digital Earth. Proc Natl Acad Sci 2012;109(28):11088-94.
174. D. Li, Y. Yao, Z. Shao, and L. Wang From digital Earth to smart Earth Chin Sci Bull 59 8 2014 722 733
175. A. Annoni, M. Craglia, M. Ehlers, Y. Georgiadou, A. Giacomelli, M. Konecny, and et al. A European perspective on digital Earth Int J Digital Earth 4 4 2011 271 284
176. M.F. Goodchild The use cases of digital Earth Int J Digital Earth 1 1 2008 31 42
177. M.F. Goodchild The future of digital Earth Ann GIS 18 2 2012 93 98
178. A. Beltran, C. Abargues, C. Granell, M. Núñez, L. Díaz, and J. Huerta A virtual globe tool for searching and visualizing geo-referenced media resources in social networks Multimed Tools Appl 64 1 2013 171 195
179. Zhong C, Zhu Y, Li M, Hu F. A study on automatic quality control for 3D city reconstruction. In: Proceedings of SPIE 6753. Geoinformatics 2007: Geospatial information science, 2007.
180. S. Tavani, P. Granado, A. Corradetti, M. Girundo, A. Iannace, P. Arbués, and et al. Building a virtual outcrop, extracting geological information from it, and sharing the results in Google Earth via open plot and photoscan: an example from the Khaviz Anticline (Iran) Comput Geosci 63 2014 44 53
181. G. Walker Johnson, A.G. Gaylord, J.C. Franco, R.P. Cody, J.J. Brady, W. Manley, and et al. Development of the arctic research mapping application (ARMAP): interoperability challenges and solutions Comput Geosci 37 11 2011 1735 1742
182. J. Sewall, D. Wilkie, and M.C. Lin Interactive hybrid simulation of large-scale traffic ACM Trans Graph 30 6 2011 135
183. D. Wilkie, J. Sewall, and M.C. Lin Transforming GIS data into functional road models for large-scale traffic simulation IEEE Trans Vis Comput Graph 18 6 2012 890 901
184. W. Doyle, and J.M. Pearce Utilization of virtual globes for open source industrial symbiosis Open Environ Sci 3 2009 88 96
185. D. Williamson Integration of the barotropic vorticity equation on a spherical geodesic grid Tellus A 20 4 1968
186. J. Li, Y. Jiang, C. Yang, Q. Huang, and M. Rice Visualizing 3D/4D environmental data using many-core graphics processing units (GPUs) and multi-core central processing units (CPUs) Comput Geosci 59 2013 78 89
187. J. Li, H. Wu, C. Yang, D.W. Wong, and J. Xie Visualizing dynamic geosciences phenomena using an octree-based view-dependent LOD strategy within virtual globes Comput Geosci 37 9 2011 1295 1302
188. K. Johansen, C. Roelfsema, and S. Phinn High spatial resolution remote sensing for environmental monitoring and management preface J Spatial Sci 53 1 2008 43 47
189. T.A. Erickson, A.M. Michalak, and J.C. Lin A data system for visualizing 4-D atmospheric CO2 models and data OSGeo J 8 2011 37 47
190. S.R.J. Sheppard Landscape visualisation and climate change: the potential for influencing perceptions and behaviour Environ Sci Policy 8 6 2005 637 654 mitigation and Adaptation Strategies for Climate Change
191. L.M. Ballagh, M.A. Parsons, and R. Swick Visualising cryospheric images in a virtual environment: present challenges and future implications Polar Rec 43 04 2007 305 310
192. S. Li, C. Xiong, and Z. Ou A web GIS for sea ice information and an ice service archive Trans GIS 15 2 2011 189 211
193. Lisa M Ballagh, and et al. Representing scientific data sets in KML: Methods and challenges Computers & Geosciences 37.1 2011 57 64
194. M.C. Serreze, M.M. Holland, and J. Stroeve Perspectives on the arctics shrinking sea-ice cover Science 315 5818 2007 1533 1536
195. P. Jankowski, M.-H. Tsou, and R.D. Wright Applying internet geographic information system for water quality monitoring Geogr Compass 1 6 2007 1315 1337
196. E.S. Bradley, D.A. Roberts, P.E. Dennison, R.O. Green, M. Eastwood, S.R. Lundeen, and et al. Google Earth and Google Fusion Tables in support of time-critical collaboration: mapping the deepwater horizon oil spill with the AVIRIS airborne spectrometer Earth Sci Inform 4 4 2011 169 179
197. L. Liang, and P. Gong Evaluation of global land cover maps for cropland area estimation in the conterminous United States Int J Digital Earth 8 2015
198. Y. Yamagishi, K. Suzuki, H. Tamura, H. Yanaka, and S. Tsuboi Visualization of geochemical data for rocks and sediments in Google Earth: development of a data converter application for geochemical and isotopic data sets in database systems Geochem Geophys Geosyst 12 3 2011
199. A. Kawasaki, M.L. Berman, and W. Guan The growing role of web-based geospatial technology in disaster response and support Disasters 37 2 2013 201 221
200. Zhang H, Shi Y, Yuen DA, Yan Z, Yuan X, Zhang C. Modeling and visualization of tsunamis. In: Earthquakes: simulations, sources and tsunamis. Birkhäuser Basel, Switzerland: Springer; 2008. p. 475-96.
201. Yuan X, Nguyen MX, Liu YC, Yuen DA, Chen B, Shi Y. Tsunami and earthquake visualization inspired by light interference. In: Proceedings of IEEE visualization, 2006.
202. Kellogg LH, Bawden GW, Bernardin T, Billen M, Cowgill E, Hamann B, et al. Interactive visualization to advance earthquake simulation. In: Earthquakes: simulations, sources and tsunamis. Birkhäuser Basel, Switzerland: Springer; 2008. p. 621-33.
203. Davies DK, Vosloo HF, Vannan SS, Frost PE. Near real-time fire alert system in South Africa: from desktop to mobile service. In: Proceedings of the 7th ACM conference on designing interactive systems. Cape Town, South Africa: ACM; 2008. p. 315-22.
204. Brice T, Foster A. The application of virtual globe software in forecasting flash flooding of low water crossings. In: Proceedings of the 25th conference on international interactive information and processing systems (IIPS) for meteorology, oceanography, and hydrology, 2009.
205. Weber B. Polar bears counted using Google Earth images. The Star. 2014.
206. Bar-Ness YD. Conservation of Indian Heritage trees, vol. 17. New Delhi, India: Indian National Trust on Arts and Cultural Heritage; 2009.
207. Papatheodoulou A, Michael K, Greenwood T, Klonis P, Taylor L, Kiriakou I, et al. The use of satellite imagery for the identification and protection of important oak areas. In: Proceedings of the 1st international conference on remote sensing and geoinformation of environment. Paphos, Cyprus: International Society for Optics and Photonics; 2013.
208. Reifke L. Harnessing the power of Google Earth for seagrass conservation in the Comoros Islands [Masters thesis]. Oregon State University; 2009.
209. González-Delgado JA, Martínez-Graña AM, Civis J, Sierro FJ, Goy JL, Dabrio CJ, et al. Virtual 3D tour of the Neogene palaeontological heritage of Huelva (Guadalquivir Basin, Spain). Environ Earth Sci 2014;73(8):4609-18.
210. Benham PM, Beckman EJ, DuBay SG, Flores LM, Johnson AB, Lelevier MJ, et al. Satellite imagery reveals new critical habitat for endangered bird species in the high Andes of Peru. Endanger Species Res 2011;145-57.
211. P.P. Olea, and Mateo-Tomás P. Assessing species habitat using Google Street View: a case study of cliff-nesting vultures PloS one 8 1 2013
212. Shiau Y, Chen Y, Tseng K, Cheng J, Lin S, Lo S, et al. A real-time high-resolution underwater ecological observation streaming system. In: Proceedings of the international society for photogrammetry and remote sensing technical commission VIII symposium, 2010. p. 517-21.
213. Sheth F, Aurambout J-P, Pettit C. Creating a marine habitat geoexploratorium using digital globe technologies. In: Proceedings of the 7th international symposium on digital Earth, 2011.
214. M.S. Merrifield, W. McClintock, C. Burt, E. Fox, P. Serpa, C. Steinback, and et al. MarineMap: a web-based platform for collaborative marine protected area planning Ocean Coast Manag 74 2013 67 76
215. Brandusescu A, Sieber R, Schuurman N. The use of geovisualization to public health, in the context of open source applications and digital Earths: an effective representation? In: Proceedings of spatial knowledge and information, vol. 2, 2011.
216. A.-S. Stensgaard, C.F. Saarnak, J. Utzinger, P. Vounatsou, C. Simoonga, G. Mushinge, and et al. Virtual globes and geospatial health: the potential of new tools in the management and control of vector-borne diseases Geospatial Health 3 2 2009 127 141
217. A.Y. Chang, M.E. Parrales, J. Jimenez, M.E. Sobieszczyk, S.M. Hammer, D.J. Copenhaver, and et al. Combining Google Earth and GIS mapping technologies in a dengue surveillance system for developing countries Int J Health Geogr 8 1 2009 49
218. D. Janies, A.W. Hill, R. Guralnick, F. Habib, E. Waltari, and W.C. Wheeler Genomic analysis and geographic visualization of the spread of avian influenza (H5N1) Syst Biol 56 2 2007 321 329
219. J. Cinnamon, and N. Schuurman Injury surveillance in low-resource settings using geospatial and social web technologies Int J Health Geogr 9 1 2010 25
220. Zhang J, Shi H, Zhang Y. Self-organizing map methodology and Google Maps services for geographical epidemiology mapping. In: Proceedings of digital image computing: techniques and applications, DICTA09. Melbourne, Australia: IEEE; 2009. p. 229-35.
221. Förstner W. 3D-city models: automatic and semiautomatic acquisition methods. In: Proceedings of photogrammetric week99. Heidelberg, Germany: Wichmann Verlag; 1999. p. 291-303.
222. Ross D-IL. Virtual 3d city models in urban land management [Ph.D. thesis]. Technische Universität Berlin; 2010.
223. Wen W, Kjems E, Bodum L, Kolar J. Dynamic features in a 3D city model as an energy system. In: Proceedings of the ISPRS international conference on 3D geoinformation, 2010.
224. H. Wu, Z. He, and J. Gong A virtual globe-based 3D visualization and interactive framework for public participation in urban planning processes Comput Environ Urban Syst 34 4 2010 291 298
225. R.B. Schultz, J.J. Kerski, and T.C. Patterson The use of virtual globes as a spatial teaching tool with suggestions for metadata standards J Geogr 107 1 2008 27 34
226. R. Rakshit, and Y. Ogneva-Himmelberger Application of virtual globes in education Geogr Compass 2 6 2008 1995 2010
227. Langford C. New geo-spatial software connects with kids. Can Geogr. http://www.canadiangeographic.ca/magazine/jf15/worldview.asp
228. B. Thankachan, and T. Franklin Impact of Google Earth on student learning Int J Hum Soc Sci 3 2013 11 16
229. A. Demirci, A. Karaburun, and H. KIlar Using Google Earth as an educational tool in secondary school geography lessons Int Res Geogr Environ Educ 22 4 2013 277 290
230. A.M. Bodzin, D. Anastasio, and V. Kulo Designing Google Earth activities for learning Earth and environmental science Teaching science and investigating environmental issues with geospatial technology 2014 Springer Netherlands 213 232
231. R. Hennessy, T. Arnason, I. Ratinen, and L. Rubensdotter Google Earth geo-education resources: a transnational approach from Ireland, Iceland, Finland, and Norway Geol Soc Am Spec Pap 492 2012 413 418
232. T.C. Patterson Google Earth as a (not just) geography education tool J Geogr 106 4 2007 145 152
233. A.M. Bodzin Integrating instructional technologies in a local watershed investigation with urban elementary learners J Environ Educ 39 2 2008 47 58