Article Versions Notes

Rivera Martinez R, Santaren D, Laurent O, Cropley F, Mallet C, Ramonet M, Caldow C, Rivier L, Broquet G, Bouchet C, et al. The Potential of Low-Cost Tin-Oxide Sensors Combined with Machine Learning for Estimating Atmospheric CH₄ Variations around Background Concentration. Atmosphere. 2021; 12(1):107. https://doi.org/10.3390/atmos12010107

Rivera Martinez, Rodrigo, Diego Santaren, Olivier Laurent, Ford Cropley, Cécile Mallet, Michel Ramonet, Christopher Caldow, Leonard Rivier, Gregoire Broquet, Caroline Bouchet, and et al. 2021. "The Potential of Low-Cost Tin-Oxide Sensors Combined with Machine Learning for Estimating Atmospheric CH₄ Variations around Background Concentration" Atmosphere 12, no. 1: 107. https://doi.org/10.3390/atmos12010107

Rivera Martinez, R., Santaren, D., Laurent, O., Cropley, F., Mallet, C., Ramonet, M., Caldow, C., Rivier, L., Broquet, G., Bouchet, C., Juery, C., & Ciais, P. (2021). The Potential of Low-Cost Tin-Oxide Sensors Combined with Machine Learning for Estimating Atmospheric CH₄ Variations around Background Concentration. Atmosphere, 12(1), 107. https://doi.org/10.3390/atmos12010107