首页 / 数据产品 / 按文献浏览 / Mitigating MODIS AOD non-random sampling error on surface PM2.5 estimates by a combined use of Bayesian Maximum Entropy method and linear mixed-effects model

Mitigating MODIS AOD non-random sampling error on surface PM2.5 estimates by a combined use of Bayesian Maximum Entropy method and linear mixed-effects model

引用方式:

Fu, D., Song, Z., Zhang, X., Xia, X., Wang, J., Che, H., Wu, H., Tang, X., Zhang, J., & Duan, M. (2020). Mitigating MODIS AOD non-random sampling error on surface PM2.5 estimates by a combined use of Bayesian Maximum Entropy method and linear mixed-effects model. Atmos. Pollut. Res. 11, 482–490.

文献信息
标题

Mitigating MODIS AOD non-random sampling error on surface PM2.5 estimates by a combined use of Bayesian Maximum Entropy method and linear mixed-effects model

PDF 此文献未收录 PDF(如何提交?)