SHS Web Conf.
Volume 145, 20222022 3rd International Conference on Advanced Education and Management Engineering (AEME2022)
|Number of page(s)||11|
|Published online||29 August 2022|
Mapping and analysis using multisource oceanic satellite data and google earth engine
Institute of Land and Urban-Rural Development, Zhejiang University of Finance and Economics, 310018 No.18, Xueyuan Street, Hangzhou, Zhejiang, China
2 College of Mechanical and Electrical Engineering, China Jiliang University, 310018 No.258, Xueyuan Street, Hangzhou, ZheJiang, China
* Corresponding author: email@example.com
Ocean satellite observation because of its large coverage area and high frequency observation become ever more important data and information source with global climate changing, ocean resources protecting and oceanic engineering projects implementing. Oceanic satellite data characteristically include multi-physical parameters, are the product of multi-level processing and are multi-sourced data. Therefore, oceanic satellite data often have different manifestations making the understanding and use of these data challenging, and there is an urgent need for a flexible platform to share the data and merge different kinds of the data information. Here we use Google Earth Engine that make these data easily understandable and a fully synthesized and comprehensive visualization. Then the key techniques for creating 2D and 3D visualizations of oceanic satellite data using KML and Google Earth are detailed in this paper. As an example, multi-sourced satellite data including horizontal distribution and vertical profiles of Typhoon Morakot in August 2009 are combined on Google Earth with three-dimensional visualization. We have extended this research and developed a web service system based on an oceanic satellite visualization data model to dynamically display different types of the oceanic satellite data on Google Earth.
© The Authors, published by EDP Sciences, 2022
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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