Remote sensing classification method of vegetation dynamics based on time series Landsat image: a case of opencast mining area in China. - Jiaxing Xu; Hua Zhao; Pengcheng Yin; Duo Jia; Gang Li (EURASIP J. Image Video Process., 2018)

Integrating Temporal Evolution with Cellular Automata for Simulating Land Cover Change. - Cangjiao Wang; Shaogang Lei; Andrew J. Elmore; Duo Jia; Shouguo Mu (Remote. Sens., 2019)

Efficient Approach for Computing the Discrimination Ratio-Based Variant of Information Entropy for Image Processing. - Peichao Gao; Hong Zhang 030; Duo Jia; Changqing Song; Changxiu Cheng; Shi Shen (IEEE Access, 2020)

A Novel Deep Learning-Based Spatiotemporal Fusion Method for Combining Satellite Images with Different Resolutions Using a Two-Stream Convolutional Neural Network. - Duo Jia; Changqing Song; Changxiu Cheng; Shi Shen; Lixin Ning; Chun Hui (Remote. Sens., 2020)

A Hybrid Deep Learning-Based Spatiotemporal Fusion Method for Combining Satellite Images with Different Resolutions. - Duo Jia; Changxiu Cheng; Changqing Song; Shi Shen; Lixin Ning; Tianyuan Zhang (Remote. Sens., 2021)

Vegetation Phenology in the Qilian Mountains and Its Response to Temperature from 1982 to 2014. - Cancan Qiao; Shi Shen; Changxiu Cheng; Junxu Wu; Duo Jia; Changqing Song (Remote. Sens., 2021)

Multitask Deep Learning Framework for Spatiotemporal Fusion of NDVI. - Duo Jia; Changxiu Cheng; Shi Shen; Lixin Ning (IEEE Trans. Geosci. Remote. Sens., 2022)

Accuracy Assessment and Impact Factor Analysis of GEDI Leaf Area Index Product in Temperate Forest. - Cangjiao Wang; Duo Jia; Shaogang Lei; Izaya Numata; Luo Tian (Remote. Sens., 2023)

Evaluation of GEDI for Estimating the Vertical Distribution of PAI in Temperate Forests: A Case Study of the Conterminous United States. - Duo Jia; Cangjiao Wang; Yanchen Bo (IEEE Geosci. Remote. Sens. Lett., 2025)