ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-4/W2, 77-85, 2017
https://doi.org/10.5194/isprs-annals-IV-4-W2-77-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 4.0 License.
 
19 Oct 2017
SPATIOTEMPORAL VISUALIZATION OF TIME-SERIES SATELLITE-DERIVED CO2 FLUX DATA USING VOLUME RENDERING AND GPU-BASED INTERPOLATION ON A CLOUD-DRIVEN DIGITAL EARTH
S. Wu1,2, Y. Yan1,2, Z. Du1,2, F. Zhang1,2, and R. Liu1,2 1Zhejiang Provincial Key Laboratory of Geographic Information System, Zhejiang University, Hangzhou 310028, China
2Institute of Geographic Information Science, School of Earth Sciences, Zhejiang University, Hangzhou 310027, China
Keywords: Cloud-driven Digital Earth, Volume Rendering, GPU-based Interpolation, Time-series Satellite Data, Ocean Carbon Cycle Abstract. The ocean carbon cycle has a significant influence on global climate, and is commonly evaluated using time-series satellite-derived CO2 flux data. Location-aware and globe-based visualization is an important technique for analyzing and presenting the evolution of climate change. To achieve realistic simulation of the spatiotemporal dynamics of ocean carbon, a cloud-driven digital earth platform is developed to support the interactive analysis and display of multi-geospatial data, and an original visualization method based on our digital earth is proposed to demonstrate the spatiotemporal variations of carbon sinks and sources using time-series satellite data. Specifically, a volume rendering technique using half-angle slicing and particle system is implemented to dynamically display the released or absorbed CO2 gas. To enable location-aware visualization within the virtual globe, we present a 3D particlemapping algorithm to render particle-slicing textures onto geospace. In addition, a GPU-based interpolation framework using CUDA during real-time rendering is designed to obtain smooth effects in both spatial and temporal dimensions. To demonstrate the capabilities of the proposed method, a series of satellite data is applied to simulate the air-sea carbon cycle in the China Sea. The results show that the suggested strategies provide realistic simulation effects and acceptable interactive performance on the digital earth.
Conference paper (PDF, 7778 KB)


Citation: Wu, S., Yan, Y., Du, Z., Zhang, F., and Liu, R.: SPATIOTEMPORAL VISUALIZATION OF TIME-SERIES SATELLITE-DERIVED CO2 FLUX DATA USING VOLUME RENDERING AND GPU-BASED INTERPOLATION ON A CLOUD-DRIVEN DIGITAL EARTH, ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-4/W2, 77-85, https://doi.org/10.5194/isprs-annals-IV-4-W2-77-2017, 2017.

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