Extracting the vegetation phenology of India monsoon forest. - Rong Shang; Ronggao Liu; Yang Liu 120; Zuo Lu (IGARSS, 2016)

Determining the Start of the Growing Season from MODIS Data in the Indian Monsoon Region: Identifying Available Data in the Rainy Season and Modeling the Varied Vegetation Growth Trajectories. - Rong Shang; Ronggao Liu; Mingzhu Xu; Yang Liu 120; Jadunandan Dash; Quansheng Ge (Remote. Sens., 2018)

Making Landsat Time Series Consistent: Evaluating and Improving Landsat Analysis Ready Data. - Shi Qiu 003; Yukun Lin; Rong Shang; Junxue Zhang 003; Lei Ma 005; Zhe Zhu (Remote. Sens., 2019)

Correction: Shang, R.; Liu, R.; Xu, M.; Liu, Y.; Dash, J.; Ge, Q. Determining the Start of the Growing Season from MODIS Data in the Indian Monsoon Region: Identifying Available Data in the Rainy Season and Modeling the Varied Vegetation Growth Trajectories, Remote Sens. 2018, 10, 122. - Rong Shang; Ronggao Liu; Mingzhu Xu; Yang Liu 120; Jadunandan Dash; Quansheng Ge (Remote. Sens., 2019)

High-resolution mapping of forest canopy height using machine learning by coupling ICESat-2 LiDAR with Sentinel-1, Sentinel-2 and Landsat-8 data. - Wang Li 001; Zheng Niu; Rong Shang; Yuchu Qin; Li Wang 055; Hanyue Chen (Int. J. Appl. Earth Obs. Geoinformation, 2020)

A 21-Year Time Series of Global Leaf Chlorophyll Content Maps From MODIS Imagery. - Mingzhu Xu; Ronggao Liu; Jing M. Chen; Yang Liu 120; Aleksandra Wolanin; Holly Croft; Liming He; Rong Shang; Weimin Ju; Yongguang Zhang; Yuhong He; Rong Wang 011 (IEEE Trans. Geosci. Remote. Sens., 2022)

Improving LandTrendr Forest Disturbance Mapping in China Using Multi-Season Observations and Multispectral Indices. - Dean Qiu; Yunjian Liang; Rong Shang; Jing M. Chen (Remote. Sens., 2023)

LACC2.0: Improving the LACC Algorithm for Reconstructing Satellite-Derived Time Series of Vegetation Biochemical Parameters. - Mingzhu Xu; Rong Shang; Jing M. Chen; Lingfang Zeng (Remote. Sens., 2023)

A Satellite Observational Study of Topographical Effects on Daytime Shallow Convective Clouds. - Guoqiang Xu; Shizuo Fu; Jane Liu; Rong Shang; Yuanyuan Luo (Remote. Sens., 2023)

Improved estimation of the underestimated GEDI footprint LAI in dense forests. - Lijuan Liang; Rong Shang; Jing M. Chen; Mingzhu Xu; Hongda Zeng (Geo spatial Inf. Sci., 2025)