Evaluation of MODIS Aerosol Optical Depth and Surface Data Using an Ensemble Modeling Approach to Assess PM2.5 Temporal and Spatial Distributions

MLA

Johana M. Carmona, et al. “Evaluation of MODIS Aerosol Optical Depth and Surface Data Using an Ensemble Modeling Approach to Assess PM2.5 Temporal and Spatial Distributions.” Remote Sensing, vol. 13, no. 16, Aug. 2021, p. 3102. EBSCOhost, https://doi.org/10.3390/rs13163102.

APA

Johana M. Carmona, Pawan Gupta, Diego F. Lozano-García, Ana Y. Vanoye, Iván Y. Hernández-Paniagua, & Alberto Mendoza. (2021). Evaluation of MODIS Aerosol Optical Depth and Surface Data Using an Ensemble Modeling Approach to Assess PM2.5 Temporal and Spatial Distributions. Remote Sensing, 13(16), 3102. https://doi.org/10.3390/rs13163102

Chicago

Johana M. Carmona, Pawan Gupta, Diego F. Lozano-García, Ana Y. Vanoye, Iván Y. Hernández-Paniagua, and Alberto Mendoza. 2021. “Evaluation of MODIS Aerosol Optical Depth and Surface Data Using an Ensemble Modeling Approach to Assess PM2.5 Temporal and Spatial Distributions.” Remote Sensing 13 (16): 3102. doi:10.3390/rs13163102.