Honglin Li

Spatiotemporal evolution of the remotely sensed global continental PM2.5 concentration from 2000-2014 based on Bayesian statistics.

Jinfeng Wang, N. Wang, Junming Li, 2018, Environmental pollution.

Exploring Spatial Influence of Remotely Sensed PM2.5 Concentration Using a Developed Deep Convolutional Neural Network Model

Junming Li, Honglin Li, Meijun Jin, 2019, International journal of environmental research and public health.

Concentration Using a Developed Deep Convolutional Neural Network Model

Junming Li, Honglin Li, Meijun Jin, 2019 .

Automatic detection of oceanic eddies in reanalyzed SST images and its application in the East China Sea

Hongwei Liu, Honglin Li, Songtao Liu, 2015, Science China Earth Sciences.

A Bayesian Space–Time Hierarchical Model for Remotely Sensed Lattice Data Based on Multiscale Homogeneous Statistical Units

Honglin Li, Junming Li, Jinfeng Wang, 2018, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.