文章基本信息

标题：Big Earth data analytics: a survey
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作者：Chaowei Yang ; Manzhu Yu ; Yun Li 等
期刊名称：Big Earth Data
印刷版ISSN：2096-4471
电子版ISSN：2574-5417
出版年度：2019
卷号：3
期号：2
页码：83-107
DOI：10.1080/20964471.2019.1611175
语种：English
出版社：Taylor & Francis Group
摘要：Big Earth data are produced from satellite observations, Internet-of-Things, model simulations, and other sources. The data embed unprecedented insights and spatiotemporal stamps of relevant Earth phenomena for improving our understanding, responding, and addressing challenges of Earth sciences and applications. In the past years, new technologies (such as cloud computing, big data and artificial intelligence) have gained momentum in addressing the challenges of using big Earth data for scientific studies and geospatial applications historically intractable. This paper reviews the big Earth data analytics from several aspects to capture the latest advancements in this fast-growing domain. We first introduce the concepts of big Earth data. The architecture, various functionalities, and supporting modules are then reviewed from a generic methodology aspect. Analytical methods supporting the functionalities are surveyed and analyzed in the context of different tools. The driven questions are exemplified through cutting-edge Earth science researches and applications. A list of challenges and opportunities are proposed for different stakeholders to collaboratively advance big Earth data analytics in the near future.
关键词：Geospatial industry; geospatial analytics; policy makers; data scientist; data system; spatiotemporal data