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.

doi:10.1109/mgrs.2024.3379108

IEEE Geosci. Remote Sens. Mag.

2024

DOI: 10.1109/mgrs.2024.3379108

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

J.-P. Montillet,

G. Kermarrec,

E. Forootan

et al.

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2024

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Cited by 5 publications

References 164 publications

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Unveiling the thermal impact of land cover transformations in Khuzestan province through MODIS satellite remote sensing products

Baronian,

Borna,

Jafarpour Ghalehteimouri

et al. 2024

Paddy Water Environ

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Unveiling the thermal impact of land cover transformations in Khuzestan province through MODIS satellite remote sensing products

Baronian,

Borna,

Jafarpour Ghalehteimouri

et al. 2024

Paddy Water Environ

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An Evaluation of Low‐Cost Terrestrial Lidar Sensors for Assessing Hydrogeomorphic Change

Perks,

Pitman,

Bainbridge

et al. 2024

Earth and Space Science

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Accurate topographic data acquired at appropriate spatio‐temporal resolution is often the cornerstone of geomorphic research. Recent decades have seen advances in our ability to generate highly accurate topographic data, primarily through the application of remote sensing techniques. Structure from Motion‐Multi View Stereo (SfM‐MVS) and lidar have revolutionised the spatial resolution of surveys across large spatial extents. Technological developments have led to commercialisation of small form factor (SFF) 3D lidar sensors that are suited to deployment on both mobile (e.g., uncrewed aerial systems), and in fixed semi‐permanent installations. Whilst the former has been adopted, the potential for the latter to generate data suitable for geomorphic investigations has yet to be assessed. We address this gap here in the context of a 3‐month deployment where channel change is assessed in an adjusting fluvial system. We find that SFF 3D lidar sensors generate change detection products comparable to those generated using a conventional lidar system. Areas of no geomorphic change are characterised as such (mean 3D change of 0.014 m compared with 0.0014 m for the Riegl VZ‐4000), with differences in median change in eroding sections of between 0.02 and 0.04 m. We illustrate that this data enables: (a) accurate characterisation of river channel adjustments through extraction of bank long‐profiles; (b) the assessment of bank retreat patterns which help elucidate failure mechanics; and (c) the extraction of water surface elevations. The deployment of this technology will enable a better understanding of processes across a variety of geomorphic systems, as data can be captured in 4D with near real‐time processing.

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Climate risk analysis: Definitions, measurements, strategies, and sectoral impacts

Huang,

Vigne,

Yao

et al. 2024

Journal of Economic Surveys

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The paper reviews and integrates the definitions, measurement techniques of climate risk, and its economic, social, and financial impacts. It systematizes the various dimensions of climate risk, including climate transition risks and physical risks, and how these risks are defined and understood in the current literature. The paper compiles the methodologies used to measure climate risks, highlighting innovative approaches such as big data analytics, machine learning, and complex network models. Additionally, it assesses the societal impacts of climate change, examining how different sectors, including agriculture, energy, transportation, and finance, are affected. By synthesizing findings from a broad range of studies, this review provides a detailed understanding of the multifaceted nature of climate risk and offers insights into effective risk management strategies. Significantly, this research serves as a crucial theoretical foundation for policymakers in formulating policies to combat climate change and for industry practitioners in devising investment strategies, thus providing practical implications that are essential for mitigating the adverse effects of climate change on society. The paper aims to be a valuable resource for those working in this area.

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

Cited by 5 publications

References 164 publications

Unveiling the thermal impact of land cover transformations in Khuzestan province through MODIS satellite remote sensing products

Unveiling the thermal impact of land cover transformations in Khuzestan province through MODIS satellite remote sensing products

An Evaluation of Low‐Cost Terrestrial Lidar Sensors for Assessing Hydrogeomorphic Change

Climate risk analysis: Definitions, measurements, strategies, and sectoral impacts

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