An Evaluation of Eight Machine Learning Regression Algorithms for Forest Aboveground Biomass Estimation from Multiple Satellite Data Products. - Yuzhen Zhang; Jun Ma; Shunlin Liang; Xisheng Li; Manyao Li (Remote. Sens., 2020)

Building a new machine learning-based model to estimate county-level climatic yield variation for maize in Northeast China. - Manyao Li; Jin Zhao; Xiaoguang Yang (Comput. Electron. Agric., 2021)

A 5-km/5-year global forest aboveground biomass product from 1985-2015. - Yuzhen Zhang; Shunlin Liang; Manyao Li (Zenodo, 2021)

Estimating the Clear-Sky Longwave Downward Radiation in the Arctic from FengYun-3D MERSI-2 Data. - Yunfeng Cao; Manyao Li; Yuzhen Zhang (Remote. Sens., 2022)

A New Spatial-Temporal Depthwise Separable Convolutional Fusion Network for Generating Landsat 8-Day Surface Reflectance Time Series over Forest Regions. - Yuzhen Zhang; Jindong Liu; Shunlin Liang; Manyao Li (Remote. Sens., 2022)

Spatiotemporal Patterns of Air Pollutants over the Epidemic Course: A National Study in China. - Kun Qin; Zhanpeng Wang; Shaoqing Dai; Yuchen Li; Manyao Li; Chen Li; Ge Qiu; Yuanyuan Shi; Chun Yin; Shujuan Yang; Peng Jia 001 (Remote. Sens., 2024)