Quantitative assessment of the different methods addressing the endmember variability. - Yuhan Rao; Jin Chen 001; Xuehong Chen; Jianmin Wang 010 (IGARSS, 2013)

Spatialization of electricity consumption of China using saturation-corrected DMSP-OLS data. - Xin Cao 002; Jianmin Wang 010; Jin Chen 001; Feng Shi (Int. J. Appl. Earth Obs. Geoinformation, 2014)

A quantitative assessment of multiple scattering in plant-soil mixtures and the implications on nonlinear spectral unmixing models. - Jianmin Wang 010; Xin Cao 002; Jin Chen 001; Desheng Liu; Yuhan Rao (IGARSS, 2015)

An Improved Method for Producing High Spatial-Resolution NDVI Time Series Datasets with Multi-Temporal MODIS NDVI Data and Landsat TM/ETM+ Images. - Yuhan Rao; Xiaolin Zhu 001; Jin Chen 001; Jianmin Wang 010 (Remote. Sens., 2015)

Assessment of Multiple Scattering in the Reflectance of Semiarid Shrublands. - Jianmin Wang 010; Xin Cao 002; Jin Chen 001; Xiuping Jia (IEEE Trans. Geosci. Remote. Sens., 2015)

How Does Scale Effect Influence Spring Vegetation Phenology Estimated from Satellite-Derived Vegetation Indexes? - Licong Liu; Ruyin Cao; Miaogen Shen; Jin Chen 001; Jianmin Wang 010; Xiaoyang Zhang 001 (Remote. Sens., 2019)

Development of Global Land Surface Phenology Product from Time Series of VIIRS Observations. - Xiaoyang Zhang 001; Jianmin Wang 010; Yongchang Ye (IGARSS, 2020)

Evaluating a spatiotemporal shape-matching model for the generation of synthetic high spatiotemporal resolution time series of multiple satellite data. - Xiaoyang Zhang 001; Feng Gao 009; Jianmin Wang 010; Yongchang Ye (Int. J. Appl. Earth Obs. Geoinformation, 2021)

Fusing Geostationary Satellite Observations with Harmonized Landsat-8 and Sentinel-2 Time Series for Monitoring Field-Scale Land Surface Phenology. - Yu Shen; Xiaoyang Zhang 001; Weile Wang; Ramakrishna Nemani; Yongchang Ye; Jianmin Wang 010 (Remote. Sens., 2021)