Rapid visualization of global image and dem based on SDOG-ESSG

Due to the limit of the two-dimension and small scale issues, it's impossible for the conventional planar and spherical global spatial grid to provide a unified real three-dimensional (3D) data model for Earth System Science research. The surface of the Earth is an important interface between l...

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Main Authors: H. G. Bo, L. X. Wu, J. Q. Yu, Y. Z. Yang, L. Xie
Format: Article
Language:English
Published: Copernicus Publications 2013-10-01
Series:The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Online Access:http://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XL-4-W2/101/2013/isprsarchives-XL-4-W2-101-2013.pdf
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author H. G. Bo
L. X. Wu
J. Q. Yu
Y. Z. Yang
L. Xie
author_facet H. G. Bo
L. X. Wu
J. Q. Yu
Y. Z. Yang
L. Xie
author_sort H. G. Bo
collection DOAJ
description Due to the limit of the two-dimension and small scale issues, it's impossible for the conventional planar and spherical global spatial grid to provide a unified real three-dimensional (3D) data model for Earth System Science research. The surface of the Earth is an important interface between lithosphere and atmosphere. Usually, the terrain should be added into the model in global changes and tectonic plates movement researches. However, both atmosphere and lithosphere are typical objects of three-dimension. Thus, it is necessary to represent and visualize the terrain in a real 3D mode. Spheroid Degenerated Octree Grid based Earth System Spatial Grid (SDOG-ESSG) not only solve the problem small-scale issues limited, but also solve the problem of two-dimension issues oriented. It can be used as real 3D model to represent and visualize the global image and DEM. Owing to the complex spatial structure of SDOG-ESSG, the visual efficiency of spatial data based on SDOG-ESSG is very low. Methods of layers and blocks data organization, as well as data culling, Level of Detail (LOD), and asynchronous scheduling, were adopted in this article to improve the efficiency of visualization. Finally, a prototype was developed for the quick visualization of global DEM and image based SDOG-ESSG.
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spelling doaj.art-c0cb2870c5f04353be17d05ccc9e11f52022-12-22T02:45:01ZengCopernicus PublicationsThe International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences1682-17502194-90342013-10-01XL-4/W210110510.5194/isprsarchives-XL-4-W2-101-2013Rapid visualization of global image and dem based on SDOG-ESSGH. G. Bo0L. X. Wu1J. Q. Yu2Y. Z. Yang3L. Xie4College of Geoscience and Surveying Engineering, China University of Mining and Technology, Beijing, 100083, P.R. ChinaCollege of Geoscience and Surveying Engineering, China University of Mining and Technology, Beijing, 100083, P.R. ChinaSchool of Environment Science and Spatial Informatics, China University of Mining and technology, Xuzhou, Jiangsu, 221116, P.R. ChinaCollege of Resources and Civil Engineering, North-eastern University, Shenyang, Liaoning, 110819, P.R. ChinaCollege of Geoscience and Surveying Engineering, China University of Mining and Technology, Beijing, 100083, P.R. ChinaDue to the limit of the two-dimension and small scale issues, it's impossible for the conventional planar and spherical global spatial grid to provide a unified real three-dimensional (3D) data model for Earth System Science research. The surface of the Earth is an important interface between lithosphere and atmosphere. Usually, the terrain should be added into the model in global changes and tectonic plates movement researches. However, both atmosphere and lithosphere are typical objects of three-dimension. Thus, it is necessary to represent and visualize the terrain in a real 3D mode. Spheroid Degenerated Octree Grid based Earth System Spatial Grid (SDOG-ESSG) not only solve the problem small-scale issues limited, but also solve the problem of two-dimension issues oriented. It can be used as real 3D model to represent and visualize the global image and DEM. Owing to the complex spatial structure of SDOG-ESSG, the visual efficiency of spatial data based on SDOG-ESSG is very low. Methods of layers and blocks data organization, as well as data culling, Level of Detail (LOD), and asynchronous scheduling, were adopted in this article to improve the efficiency of visualization. Finally, a prototype was developed for the quick visualization of global DEM and image based SDOG-ESSG.http://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XL-4-W2/101/2013/isprsarchives-XL-4-W2-101-2013.pdf
spellingShingle H. G. Bo
L. X. Wu
J. Q. Yu
Y. Z. Yang
L. Xie
Rapid visualization of global image and dem based on SDOG-ESSG
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
title Rapid visualization of global image and dem based on SDOG-ESSG
title_full Rapid visualization of global image and dem based on SDOG-ESSG
title_fullStr Rapid visualization of global image and dem based on SDOG-ESSG
title_full_unstemmed Rapid visualization of global image and dem based on SDOG-ESSG
title_short Rapid visualization of global image and dem based on SDOG-ESSG
title_sort rapid visualization of global image and dem based on sdog essg
url http://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XL-4-W2/101/2013/isprsarchives-XL-4-W2-101-2013.pdf
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