Machine Learning-Based Improvement of Aerosol Optical Depth from CHIMERE Simulations Using MODIS Satellite Observations.

MLA

Lemmouchi, Farouk, et al. “Machine Learning-Based Improvement of Aerosol Optical Depth from CHIMERE Simulations Using MODIS Satellite Observations.” Remote Sensing, vol. 15, no. 6, Mar. 2023, p. 1510. EBSCOhost, https://doi.org/10.3390/rs15061510.

APA

Lemmouchi, F., Cuesta, J., Lachatre, M., Brajard, J., Coman, A., Beekmann, M., & Derognat, C. (2023). Machine Learning-Based Improvement of Aerosol Optical Depth from CHIMERE Simulations Using MODIS Satellite Observations. Remote Sensing, 15(6), 1510. https://doi.org/10.3390/rs15061510

Chicago

Lemmouchi, Farouk, Juan Cuesta, Mathieu Lachatre, Julien Brajard, Adriana Coman, Matthias Beekmann, and Claude Derognat. 2023. “Machine Learning-Based Improvement of Aerosol Optical Depth from CHIMERE Simulations Using MODIS Satellite Observations.” Remote Sensing 15 (6): 1510. doi:10.3390/rs15061510.