The ever-growing need of data preservation and their systematic analysis contributing to sustainable development of the society spurred in the past decade,numerous Big Data projects and initiatives are focusing on the Earth Observation (EO). The number of Big Data EO applications has grown extremely worldwide almost simultaneously with other scientific and technological areas of the human knowledge due to the revolutionary technological progress in the space and information technology sciences. The substantial contribution to this development are the space programs of the renowned space agencies, such as NASA, ESA,Roskosmos, JAXA, DLR, INPE, ISRO, CNES etc. A snap-shot of the current Big Data sets from available satellite missions covering the Bulgarian territory is also presented. This short overview of the geoscience Big Data collection with a focus on EO will emphasize to the multiple Vs of EO in order to provide a snapshot on the current state-of-the-art in EO data preservation and manipulation. Main modern approaches for compressing, clustering and modelling EO in the geoinformation science for Big Data analysis, interpretation and visualization for a variety of applications are outlined. Special attention is paid to the contemporary EO data modelling and visualization systems.
翻译:由于在空间和信息技术科学方面的革命性技术进步,大数据EO应用的数量几乎与人类知识的其他科学和技术领域同时增长。对这一发展的重大贡献是著名的空间机构的空间方案,如美国航天局、欧空局、罗斯科泽、日本宇宙航空研究开发机构、德国航天局、国际空间研究所、印度空间研究组织、法国空研中心等的空间方案。还介绍了保加利亚领土上现有卫星飞行任务中现有大数据集的速照。以EO为重点的地球科学大数据采集的简短概览将强调EO的多重V,以便提供关于EO数据保存和操纵方面最新技术的概况。概述了用于大数据分析、解释和可视化的各种应用的地理信息科学中EO的压缩、组合和建模的主要现代方法。特别注意现代EO数据建模和直观系统。