NetCDF-Based Visualization of Marine Environment Data Using Virtual Earth

Xiang Hong Wang; Ji Ping Liu; Sheng Hua Xu; Yong Wang

doi:10.4028/www.scientific.net/AMR.518-523.5719

Paper Titles

LAI Retrieval Based on PROSPECT-SAILH Model from Multi-Angular Data of WiDAS Imaging System
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Land Use/Land Cover Dynamic Monitoring and Analysis Using Remote Sensing and GIS Techniques: Case Study of Qingpu District, Shanghai
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Mapping of Soil Salinity Based on Field Measured Spectra and ALI Image in Yellow River Delta
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Multi-Scale Spatial Analysis of Valley City in Northwest China Based on GIS — Taking Yan’an as an Example
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NetCDF-Based Visualization of Marine Environment Data Using Virtual Earth
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Quantitative Analysis on Land Cover in Three Gorges Reservoir Area Based on Transition Matrix
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Research and Development of the Quick Mapping System on Rural Planning
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Retrievals of Aerosol Optical Depth and Angstrom Exponent for Identification of Aerosols at Kuching, Sarawak
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Road Extraction Based on the Algorithms of K-Means Clustering and Hybrid Model of SVM and FCM
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NetCDF-Based Visualization of Marine Environment Data Using Virtual Earth

Abstract:

For the characteristics of the marine environment data with multiple-formats, heterogeneous, multi-dimensional and dynamic in structure and time, this paper studies the three-dimensional visualization method of the NetCDF-based marine environment data. On the basis of comprehensive analysis the NetCDF data model in principle, data organization, scheduling methods and so on, the present study proposes NetCDF to store these data, and designs a 3D dynamic rendering model for typical marine environment data based on virtual earth, implements the dynamic representation and spatial-temporal analysis, which includes marine feature field visualization, the attributes information query and the process characteristics analysis. The practical application shows that the method of this paper can represent massive marine environment data efficiently and vividly, it provides a powerful visualization auxiliary tool for the representation of the complex ocean phenomena, spatial-temporal analysis and trend prediction.