Applications of remote sensing vis-à-vis machine learning in air quality monitoring and modelling: a review

Author:

Bahadur Faizan Tahir,Shah Shagoofta Rasool,Nidamanuri Rama Rao

Publisher

Springer Science and Business Media LLC

Subject

Management, Monitoring, Policy and Law,Pollution,General Environmental Science,General Medicine

Reference136 articles.

1. Abadi M et al. (2016) Tensorflow: Large-scale machine learning on heterogeneous distributed systems. arXiv preprint arXiv:1603.04467. http://arxiv.org/pdf/1603.04467.pdf.

2. AbdelSattar, A. (2019). Monitoring air pollution using satellite data. Proceedings of the International Conference on Industrial Engineering and Operations Management, 772–780. Available online: https://www.ieomsociety.org/gcc2019/papers/126.pdf

3. Abdullah, S., Ismail, M., & Ahmed, A. N. (2019a). Multi-layer perceptron model for air quality prediction. Malaysian Journal of Mathematical Sciences, 13, 85–95.

4. Abdullah, S., Ismail, M., Ahmed, A. N., & Abdullah, A. M. (2019b). Forecasting particulate matter concentration using linear and non-linear approaches for air quality decision support. Atmosphere, 10(11), 667. https://doi.org/10.3390/atmos10110667

5. Abirami, S., & Chitra, P. (2021). Regional air quality forecasting using spatiotemporal deep learning. Journal of Cleaner Production, 283, 125341. https://doi.org/10.1016/j.jclepro.2020.125341

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