How Big Data Can Help to Monitor the Environment and to Mitigate Risks due to Climate Change

A review

authored by: J. P. Montillet, G. Kermarrec, E. Forootan, M. Haberreiter, X. He, W. Finsterle, R. Fernandes, C. K. Shum
Abstract: 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.
Organisation(s): Institute of Meteorology and Climatology
External Organisation(s): Aalborg University
Jiangxi University of Science and Technology
University of Beira Interior
The Ohio State University
Physikalisch-Meteorologisches Observatorium World Radiation Center (PMOD/WRC)
Type: Book/Film/Article review in journal
Journal: IEEE Geoscience and Remote Sensing Magazine
Volume: 12
Pages: 67-89
No. of pages: 23
ISSN: 2473-2397
Publication date: 06.2024
Publication status: Published
Peer reviewed: Yes
ASJC Scopus subject areas: General Computer Science, Instrumentation, General Earth and Planetary Sciences, Electrical and Electronic Engineering
Sustainable Development Goals: SDG 13 - Climate Action
Electronic version(s): https://doi.org/10.1109/MGRS.2024.3379108 (Access: Closed)