Atmospheric Pollution Retrieval Using Path Radiance Derived from Remote Sensing Data
Author:
Publisher
Springer Science and Business Media LLC
Subject
Earth and Planetary Sciences (miscellaneous),Computers in Earth Sciences,Geography, Planning and Development
Link
https://link.springer.com/content/pdf/10.1007/s41651-021-00093-8.pdf
Reference39 articles.
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2. Alvarez-Mendoza CI, Teodoro AC, Torres N, Vivanco V (2019) Assessment of remote sensing data to model PM10 estimation in cities with a low number of air quality stations: a case of study in Quito, Ecuador. Environments 6(7):85. https://doi.org/10.3390/environments6070085
3. Bai Y, Li Y, Wang X, Xie J, Li C (2016) Air pollutants concentrations forecasting using back propagation neural network based on wavelet decomposition with meteorological conditions. Atmos Pollut Res 7(3)
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