Characterizing the Spatio-Temporal Pattern of Land Surface Temperature through Time Series Clustering: Based on the Latent Pattern and Morphology. - Huimin Liu; Qingming Zhan; Chen Yang 006; Jiong Wang (Remote. Sens., 2018)

An IHS-Based Pan-Sharpening Method for Spectral Fidelity Improvement Using Ripplet Transform and Compressed Sensing. - Chen Yang 006; Qingming Zhan; Huimin Liu; Ruiqi Ma (Sensors, 2018)

New MAIAC AOD Product Based High Resolution PM2.5 Spatial-Temporal Distribution Change at Urban Scale - Case Study of Wuhan. - Qingming Zhan; Zhiyu Fan; Shuqin Yan; Sushu Yang; Chen Yang 006 (MultiTemp, 2019)

Seasonal Variation of the Spatially Non-Stationary Association Between Land Surface Temperature and Urban Landscape. - Huimin Liu; Qingming Zhan; Sihang Gao; Chen Yang 006 (Remote. Sens., 2019)

Downscaling Land Surface Temperature Using Multiscale Geographically Weighted Regression Over Heterogeneous Landscapes in Wuhan, China. - Chen Yang 006; Qingming Zhan; Yunzhe Lv; Huimin Liu (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2019)

Characterizing the spatial and temporal variation of the land surface temperature hotspots in Wuhan from a local scale. - Chen Yang 006; Qingming Zhan; Sihang Gao; Huimin Liu (Geo spatial Inf. Sci., 2020)

Estimating PM2.5 Concentrations Using Spatially Local Xgboost Based on Full-Covered SARA AOD at the Urban Scale. - Zhiyu Fan; Qingming Zhan; Chen Yang 006; Huimin Liu; Muhammad Bilal 002 (Remote. Sens., 2020)

How do greenspace landscapes affect PM2.5 exposure in Wuhan? Linking spatial-nonstationary, annual varying, and multiscale perspectives. - Qingming Zhan; Chen Yang 006; Huimin Liu (Geo spatial Inf. Sci., 2024)