M2-APNet: A multimodal deep learning network to predict major air pollutants from temporal satellite images
Gudiseva Swetha,
Rajeshreddy Datla,
Chalavadi Vishnu
et al.
Abstract:Air quality monitoring plays a vital role in the sustainable development of any country. Continuous monitoring of the major air pollutants and forecasting their variations would be helpful in saving the environment and improving the quality of public health. However, this task becomes challenging with the available observations of air pollutants from the on-ground instruments with their limited spatial coverage. We propose a multimodal deep learning network (M 2 -APNet) to predict major air pollutants at a glo… Show more
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