2021
DOI: 10.1016/j.eti.2021.101679
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Green city air measurement and health exercise big data monitoring based on remote sensing images and sensors

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Cited by 2 publications
(3 citation statements)
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“…Therefore, satellite remote sensing technology provides a global, high-resolution monitoring tool that can accurately depict the real levels of air pollution in a region. This, in turn, assists governments and research institutions in gaining a better understanding of and managing air pollution, while also extending the impact of environmental monitoring [11].…”
Section: Model Settingmentioning
confidence: 94%
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“…Therefore, satellite remote sensing technology provides a global, high-resolution monitoring tool that can accurately depict the real levels of air pollution in a region. This, in turn, assists governments and research institutions in gaining a better understanding of and managing air pollution, while also extending the impact of environmental monitoring [11].…”
Section: Model Settingmentioning
confidence: 94%
“…Satellite remote sensing technology offers the capability to cover a wide range of times, spaces and spectra relative to traditional measurement technology, and has the advantages of precision, speed and real-time monitoring, enabling macro-ecological environmental surveillance. It has a broad application prospect in environmental monitoring, which can directly obtain the concentration of sulfur dioxide in space and the changes occurring along with time in real time, which will greatly improve the quantification and refinement level of environmental monitoring and management, and promote the construction of ecological civilization in the world [11,22]. This means that satellite remote sensing technology can reflect the real changes in regional air pollution, thus avoiding behaviors such as data tampering at the local level for environmental performance assessment and further expanding the enforcement of environmental constraints.…”
Section: Environmental Target Constraints and The Impact Of Remote Se...mentioning
confidence: 99%
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