Design and Implementation of a High Spatial Resolution Remote Sensing Image Intelligent Interpretation System. - Dengkui Mo; Hui Lin 004; Jiping Li; Hua Sun 002; Yujiu Xiong (Data Sci. J., 2007)

A SVM-Based Change Detection Method from Bi-Temporal Remote Sensing Images in Forest Area. - Dengkui Mo; Hui Lin 004; Jiping Li; Hua Sun 002; Zhuo Zhang 017; Yujiu Xiong (WKDD, 2008)

A Novel Remotely Sensed Image Interpretation Method. - Dengkui Mo; Hui Lin 004; Hua Sun 002; Zhuo Zhang 017; Huaiqing Zhang (FSKD (5), 2009)

Non-wood forest information extraction based on ALOS data. - Enping Yan; Hui Lin 004; Dengkui Mo; Liming Bai; Hua Sun 002 (FSKD, 2010)

Remotely sensed image intelligent interpretation based on robust segmentation and GIS system. - Dengkui Mo; Enping Yan; Hui Lin 004; Guozhen Zhang; Jiping Li (FSKD, 2012)

Impacts of Plot Location Errors on Accuracy of Mapping and Scaling Up Aboveground Forest Carbon Using Sample Plot and Landsat TM Data. - Maozhen Zhang; Hui Lin 004; Siqi Zeng 003; Jiping Li; Junnan Shi; Guangxing Wang (IEEE Geosci. Remote. Sens. Lett., 2013)

Retrieval and Accuracy Assessment of Tree and Stand Parameters for Chinese Fir Plantation Using Terrestrial Laser Scanning. - Hua Sun 002; Guangxing Wang; Hui Lin 004; Jiping Li; Huaiqing Zhang; Hongbo Ju (IEEE Geosci. Remote. Sens. Lett., 2015)

Improvement of Forest Carbon Estimation by Integration of Regression Modeling and Spectral Unmixing of Landsat Data. - Enping Yan; Hui Lin 004; Guangxing Wang; Hua Sun 002 (IEEE Geosci. Remote. Sens. Lett., 2015)

Multi-Resolution Mapping and Accuracy Assessment of Forest Carbon Density by Combining Image and Plot Data from a Nested and Clustering Sampling Design. - Enping Yan; Hui Lin 004; Guangxing Wang; Hua Sun 002 (Remote. Sens., 2016)

Improving Selection of Spectral Variables for Vegetation Classification of East Dongting Lake, China, Using a Gaofen-1 Image. - Renfei Song; Hui Lin 004; Guangxing Wang; Enping Yan; Zilin Ye (Remote. Sens., 2018)

Optimizing kNN for Mapping Vegetation Cover of Arid and Semi-Arid Areas Using Landsat Images. - Hua Sun 002; Qing Wang 012; Guangxing Wang; Hui Lin 004; Peng Luo; Jiping Li; Siqi Zeng 003; Xiaoyu Xu; Lanxiang Ren (Remote. Sens., 2018)

Mapping Paddy Rice Using a Convolutional Neural Network (CNN) with Landsat 8 Datasets in the Dongting Lake Area, China. - Meng Zhang 016; Hui Lin 004; Guangxing Wang; Hua Sun 002; Jing Fu (Remote. Sens., 2018)

Mapping Growing Stem Volume of Chinese Fir Plantation Using a Saturation-based Multivariate Method and Quad-polarimetric SAR Images. - Jiangping Long; Hui Lin 004; Guangxing Wang; Hua Sun 002; Enping Yan (Remote. Sens., 2019)

Improving the Estimation of Forest Carbon Density in Mountainous Regions Using Topographic Correction and Landsat 8 Images. - Enping Yan; Yunlin Zhao; Hui Lin 004; Guangxing Wang; Dengkui Mo (Remote. Sens., 2019)

Correction: Zhang, M., et al. Estimation of Vegetation Productivity Using a Landsat 8 Time Series in a Heavily Urbanized Area, Central China. Remote Sens. 2019, 11, 133. - Meng Zhang 016; Hui Lin 004; Guangxing Wang; Hua Sun 002; Yaotong Cai (Remote. Sens., 2019)

Mapping wetland using the object-based stacked generalization method based on multi-temporal optical and SAR data. - Yaotong Cai; Xinyu Li 006; Meng Zhang 016; Hui Lin 004 (Int. J. Appl. Earth Obs. Geoinformation, 2020)

Estimating the Growing Stem Volume of Chinese Pine and Larch Plantations based on Fused Optical Data Using an Improved Variable Screening Method and Stacking Algorithm. - Xinyu Li 006; Zhaohua Liu; Hui Lin 004; Guangxing Wang; Hua Sun 002; Jiangping Long; Meng Zhang 016 (Remote. Sens., 2020)

Estimating the Growing Stem Volume of Coniferous Plantations Based on Random Forest Using an Optimized Variable Selection Method. - Fugen Jiang; Mykola Kutia; Arbi J. Sarkissian; Hui Lin 004; Jiangping Long; Hua Sun 002; Guangxing Wang (Sensors, 2020)

Estimating the Growing Stem Volume of the Planted Forest Using the General Linear Model and Time Series Quad-Polarimetric SAR Images. - Jiangping Long; Hui Lin 004; Guangxing Wang; Hua Sun 002; Enping Yan (Sensors, 2020)

Estimating the Urban Fractional Vegetation Cover Using an Object-Based Mixture Analysis Method and Sentinel-2 MSI Imagery. - Yaotong Cai; Meng Zhang 016; Hui Lin 004 (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2020)

Classification of Paddy Rice Using a Stacked Generalization Approach and the Spectral Mixture Method Based on MODIS Time Series. - Meng Zhang 016; Huaiqing Zhang; Xinyu Li 006; Yang Liu; Yaotong Cai; Hui Lin 004 (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2020)

Mapping the vegetation distribution and dynamics of a wetland using adaptive-stacking and Google Earth Engine based on multi-source remote sensing data. - Xiangren Long; Xinyu Li 006; Hui Lin 004; Meng Zhang 016 (Int. J. Appl. Earth Obs. Geoinformation, 2021)

Coniferous Plantations Growing Stock Volume Estimation Using Advanced Remote Sensing Algorithms and Various Fused Data. - Xinyu Li 006; Jiangping Long; Meng Zhang 016; Zhaohua Liu; Hui Lin 004 (Remote. Sens., 2021)

Mapping the Growing Stem Volume of the Coniferous Plantations in North China Using Multispectral Data from Integrated GF-2 and Sentinel-2 Images and an Optimized Feature Variable Selection Method. - Xinyu Li 006; Hui Lin 004; Jiangping Long; Xiaodong Xu (Remote. Sens., 2021)

A Novel Method for Estimating Spatial Distribution of Forest Above-Ground Biomass Based on Multispectral Fusion Data and Ensemble Learning Algorithm. - Xinyu Li 006; Meng Zhang 016; Jiangping Long; Hui Lin 004 (Remote. Sens., 2021)

A Combined Strategy of Improved Variable Selection and Ensemble Algorithm to Map the Growing Stem Volume of Planted Coniferous Forest. - Xiaodong Xu; Hui Lin 004; Zhaohua Liu; Zilin Ye; Xinyu Li 006; Jiangping Long (Remote. Sens., 2021)

Inversion of Coniferous Forest Stock Volume Based on Backscatter and InSAR Coherence Factors of Sentinel-1 Hyper-Temporal Images and Spectral Variables of Landsat 8 OLI. - Xinyu Li 006; Zilin Ye; Jiangping Long; Huanna Zheng; Hui Lin 004 (Remote. Sens., 2022)

Mapping Forest Stock Volume Based on Growth Characteristics of Crown Using Multi-Temporal Landsat 8 OLI and ZY-3 Stereo Images in Planted Eucalyptus Forest. - Zhaohua Liu; Zilin Ye; Xiaodong Xu; Hui Lin 004; Tingchen Zhang; Jiangping Long (Remote. Sens., 2022)

Analyzing the Saturation of Growing Stem Volume Based on ZY-3 Stereo and Multispectral Images in Planted Coniferous Forest. - Tingchen Zhang; Hui Lin 004; Jiangping Long; Meng Zhang 016; Zhaohua Liu (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2022)

Mapping Forest Growing Stem Volume Using Novel Feature Evaluation Criteria Based on Spectral Saturation in Planted Chinese Fir Forest. - Hui Lin 004; Wanguo Zhao; Jiangping Long; Zhaohua Liu; Peisong Yang; Tingchen Zhang; Zilin Ye; Qingyang Wang; Hamid Reza Matinfar (Remote. Sens., 2023)

Evaluating the Sensitivity of Polarimetric Features Related to Rotation Domain and Mapping Chinese Fir AGB Using Quad-Polarimetric SAR Images. - Tingchen Zhang; Hui Lin 004; Jiangping Long; Huanna Zheng; Zilin Ye; Zhaohua Liu (Remote. Sens., 2023)

Interpretation and Mapping Tree Crown Diameter Using Spatial Heterogeneity in Relation to the Radiative Transfer Model Extracted from GF-2 Images in Planted Boreal Forest Ecosystems. - Zhaohua Liu; Jiangping Long; Hui Lin 004; Kai Du; Xiaodong Xu; Hao Liu; Peisong Yang; Tingchen Zhang; Zilin Ye (Remote. Sens., 2023)

Evaluating the Transferability of Spectral Variables and Prediction Models for Mapping Forest Aboveground Biomass Using Transfer Learning Methods. - Li Chen; Hui Lin 004; Jiangping Long; Zhaohua Liu; Peisong Yang; Tingchen Zhang (Remote. Sens., 2023)

A Novel Feature Evaluation Method in Mapping Forest AGB by Fusing Multiple Evaluation Metrics Using PolSAR Data. - Tingchen Zhang; Jiangping Long; Hui Lin 004; Zhaohua Liu; Zilin Ye; Huanna Zheng (IEEE Geosci. Remote. Sens. Lett., 2024)

The Influences of Meteorological Factors on Mapping Forest Stock Volume With Sentinel-1 Images. - Xunwei Li; Jiangping Long; Hui Lin 004; Tingchen Zhang; Huanna Zheng (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2025)