Effectiveness of machine learning methods for water segmentation with ROI as the label: A case study of the Tuul River in Mongolia. - Kai Li 021; Juanle Wang; Jinyi Yao (Int. J. Appl. Earth Obs. Geoinformation, 2021)

Deep learning empowers the Google Earth Engine for automated water extraction in the Lake Baikal Basin. - Kai Li 021; Juanle Wang; Wenjing Cheng; Yi Wang; Yezhi Zhou; Altansukh Ochir (Int. J. Appl. Earth Obs. Geoinformation, 2022)

Performance Evaluation of Multi-Typed Precipitation Products for Agricultural Research in the Amur River Basin over the Sino-Russian Border Region. - Yezhi Zhou; Juanle Wang; Elena Grigorieva; Kai Li 021; Huanyu Xu (Remote. Sens., 2023)

An Effective Deep Learning Model for Monitoring Mangroves: A Case Study of the Indus Delta. - Chen Xu; Juanle Wang; Yu Sang; Kai Li 021; Jingxuan Liu; Gang Yang (Remote. Sens., 2023)

Spatial-Temporal Pattern Analysis of Grassland Yield in Mongolian Plateau Based on Artificial Neural Network. - Menghan Li; Juanle Wang; Kai Li 021; Altansukh Ochir; Chuluun Togtokh; Chen Xu (Remote. Sens., 2023)

Consistency Analysis and Accuracy Evaluation of Multi-Source Land Cover Data Products in the Eastern European Plain. - Guangmao Jiang; Juanle Wang; Kai Li 021; Chen Xu; Heng Li 011; Zongyi Jin; Jingxuan Liu (Remote. Sens., 2023)

A Cropland Disturbance Monitoring Method Based on Probabilistic Trajectories. - Jiawei Jiang; Juanle Wang; Keming Yang; Denis Fetisov; Kai Li 021; Meng Liu; Weihao Zou (Remote. Sens., 2024)

Machine Learning-Based Fine Classification of Agricultural Crops in the Cross-Border Basin of the Heilongjiang River between China and Russia. - Meng Liu; Juanle Wang; Denis Fetisov; Kai Li 021; Chen Xu; Jiawei Jiang (Remote. Sens., 2024)

A multi-source data fusion method for land cover production: a case study of the East European Plain. - Kai Li 021; Juanle Wang (Int. J. Digit. Earth, 2024)