气候变化领域集成服务门户(CCPortal): How Big Data Can Help to Monitor the Environment and to Mitigate Risks due to Climate Change A review

CCPortal

DOI	10.1109/MGRS.2024.3379108
	How Big Data Can Help to Monitor the Environment and to Mitigate Risks due to Climate Change A review
	Montillet, J. -P.; Kermarrec, G.; Forootan, E.; Haberreiter, M.; He, X.; Finsterle, W.; Fernandes, R.; Shum, C. K.
发表日期	2024
ISSN	2473-2397
EISSN	2168-6831
英文摘要	Climate change triggers a wide range of hydrometeorological, glaciological, and geophysical processes that span across vast spatiotemporal scales. With the advances in technology and analytics, a multitude of remote sensing (RS), geodetic, and in situ instruments have been developed to effectively monitor and help comprehend Earth's system, including its climate variability and the recent anomalies associated with global warming. A huge volume of data is generated by recording these observations, resulting in the need for novel methods to handle and interpret such big datasets. Managing this enormous amount of data extends beyond current computer storage considerations; it also encompasses the complexities of processing, modeling, and analyzing. Big datasets present unique characteristics that set them apart from smaller datasets, thereby posing challenges to traditional approaches. Moreover, computational time plays a crucial role, especially in the context of geohazard warning and response systems, which necessitate low latency requirements. In this review, we delve into the monitoring and analysis of various climate change-related phenomena, including, but not limited to, droughts, floods, cyclone-induced storm surges, urban heat islands (UHIs), ice mass balance, sea-level rise (SLR), and the modeling of the influence of solar variability on Earth's climate. By examining these phenomena, we explore some of the current and future trends in big data, aiming to encourage and speed up the development of such techniques and promoting their benefits to timely monitor climate and toward achieving climate sustainability.
英文关键词	Climate change; Hydroelectric power generation; Meteorological factors; Risk management; Glaciology; Spatiotemporal phenomena; Storage management; Global warming; Data models; Remote sensing; Geodesy; Low latency communication; Computational modeling; Complexity theory; Big Data; Environmental monitoring
语种	英语
WOS研究方向	Geochemistry & Geophysics ; Remote Sensing ; Imaging Science & Photographic Technology
WOS类目	Geochemistry & Geophysics ; Remote Sensing ; Imaging Science & Photographic Technology
WOS记录号	WOS:001205836800001
来源期刊	IEEE GEOSCIENCE AND REMOTE SENSING MAGAZINE
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/308398
作者单位	Leibniz University Hannover; Aalborg University; Jiangxi University of Science & Technology; Universidade da Beira Interior; University System of Ohio; Ohio State University
推荐引用方式 GB/T 7714	Montillet, J. -P.,Kermarrec, G.,Forootan, E.,et al. How Big Data Can Help to Monitor the Environment and to Mitigate Risks due to Climate Change A review[J],2024.
APA	Montillet, J. -P..,Kermarrec, G..,Forootan, E..,Haberreiter, M..,He, X..,...&Shum, C. K..(2024).How Big Data Can Help to Monitor the Environment and to Mitigate Risks due to Climate Change A review.IEEE GEOSCIENCE AND REMOTE SENSING MAGAZINE.
MLA	Montillet, J. -P.,et al."How Big Data Can Help to Monitor the Environment and to Mitigate Risks due to Climate Change A review".IEEE GEOSCIENCE AND REMOTE SENSING MAGAZINE (2024).