Assessing air pollution changes during the COVID-19 and its impact on the urban environment using remote sensing and neural networks

Mokarram, Marzieh; Taripanah, Farideh; Minh Pham, Tam

doi:10.1016/j.asr.2023.11.039

Advances in Space Research

2024

DOI: 10.1016/j.asr.2023.11.039

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Assessing air pollution changes during the COVID-19 and its impact on the urban environment using remote sensing and neural networks

Marzieh Mokarram,

Farideh Taripanah,

Tam Minh Pham

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Cited by 4 publications

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2024

Environ Dev Sustain

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Characterizing the air pollution dynamics amidst three COVID-19-induced lockdowns during the first wave (2020), second wave (2021), and third wave (2022) in the Kolkata and Howrah Municipal Corporations, India

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Assessing air pollution changes during the COVID-19 and its impact on the urban environment using remote sensing and neural networks

Cited by 4 publications

References 69 publications

Characterizing the air pollution dynamics amidst three COVID-19-induced lockdowns during the first wave (2020), second wave (2021), and third wave (2022) in the Kolkata and Howrah Municipal Corporations, India

Characterizing the air pollution dynamics amidst three COVID-19-induced lockdowns during the first wave (2020), second wave (2021), and third wave (2022) in the Kolkata and Howrah Municipal Corporations, India

Predicting land use dynamics, surface temperature and urban thermal field variance index in mild cold climate urban area of Pakistan

STRD-Net: A Dual-Encoder Semantic Segmentation Network for Urban Green Space Extraction

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