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Mobile service for open data visualization on geo-based images

机译:用于基于地理图像的开放数据可视化的移动服务

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Since the early 2010s, governments in most countries have adopted and promoted open data policy and open data platform. Korea are in the same situation, and government and public organizations have operated the public-accessible open data portal systems since 2011. The number of open data and data type have been increasing every year. These trends are more expandable or extensible on mobile environments. The purpose of this study is to design and implement a mobile application service to visualize various typed or formatted public open data with geo-based images on the mobile web. Open data cover downloadable data sets or open-accessible data application programming interface API. Geo-based images mean multi-sensor satellite imageries which are referred in geo-coordinates and matched with digital map sets. System components for mobile service are fully based on open sources and open development environments without any commercialized tools: PostgreSQL for database management system, OTB for remote sensing image processing, GDAL for data conversion, GeoServer for application server, OpenLayers for mobile web mapping, R for data analysis and D3.js for web-based data graphic processing. Mobile application in client side was implemented by using HTML5 for cross browser and cross platform. The result shows many advantageous points such as linking open data and geo-based data, integrating open data and open source, and demonstrating mobile applications with open data. It is expected that this approach is cost effective and process efficient implementation strategy for intelligent earth observing data.
机译:自2010年代初以来,大多数国家/地区的政府已采用并促进了开放数据政策和开放数据平台。韩国处于同样的情况,自2011年以来,政府和公共组织一直在使用可公开访问的开放数据门户系统。开放数据和数据类型的数量每年都在增加。这些趋势在移动环境中更加可扩展或可扩展。本研究的目的是设计和实现一种移动应用程序服务,以在移动Web上使用基于地理的图像可视化各种类型或格式的公共开放数据。开放数据涵盖可下载数据集或开放访问数据应用程序编程接口API。基于地理的图像是指在地理坐标中引用并与数字地图集匹配的多传感器卫星图像。用于移动服务的系统组件完全基于开源和开放的开发环境,而没有任何商业化的工具:用于数据库管理系统的PostgreSQL,用于遥感图像处理的OTB,用于数据转换的GDAL,用于应用服务器的GeoServer,用于移动Web映射的OpenLayers,R用于数据分析,而D3.js用于基于Web的数据图形处理。客户端的移动应用程序是通过将HTML5用于跨浏览器和跨平台来实现的。结果显示了许多优势,例如链接开放数据和基于地理的数据,集成开放数据和开放源代码以及用开放数据演示移动应用程序。预期该方法对于智能地球观测数据是具有成本效益和过程有效的实施策略。

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