Spatiotemporal Estimation of Bamboo Forest Aboveground Carbon Storage Based on Landsat Data in Zhejiang, China. - Yangguang Li 002; Ning Han; Xuejian Li; Huaqiang Du; Fangjie Mao; Lu Cui; Tengyan Liu; Luqi Xing (Remote. Sens., 2018)

Assimilating Multiresolution Leaf Area Index of Moso Bamboo Forest from MODIS Time Series Data Based on a Hierarchical Bayesian Network Algorithm. - Luqi Xing; Xuejian Li; Huaqiang Du; Guomo Zhou; Fangjie Mao; Tengyan Liu; Junlong Zheng; Luofan Dong; Meng Zhang; Ning Han; Xiaojun Xu; Weiliang Fan; et al. (Remote. Sens., 2019)

Very High Resolution Remote Sensing Imagery Classification Using a Fusion of Random Forest and Deep Learning Technique - Subtropical Area for Example. - Luofan Dong; Luqi Xing; Tengyan Liu; Huaqiang Du; Fangjie Mao; Ning Han; Xuejian Li; Guomo Zhou; Dien Zhu; Junlong Zheng; Meng Zhang (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2020)

Prediction of Urban Forest Aboveground Carbon Using Machine Learning Based on Landsat 8 and Sentinel-2: A Case Study of Shanghai, China. - Huimian Li; Guilian Zhang; Qicheng Zhong; Luqi Xing; Huaqiang Du (Remote. Sens., 2023)