Improving Aboveground Biomass Estimation of Pinus densata Forests in Yunnan Using Landsat 8 Imagery by Incorporating Age Dummy Variable and Method Comparison. - Guanglong Ou; Chao Li; Yanyu Lv; Anchao Wei; Hexian Xiong; Hui Xu; Guangxing Wang (Remote. Sens., 2019)

Improving Forest Aboveground Biomass Estimation of Pinus densata Forest in Yunnan of Southwest China by Spatial Regression using Landsat 8 Images. - Guanglong Ou; Yanyu Lv; Hui Xu; Guangxing Wang (Remote. Sens., 2019)

Mapping Forest Type with Multi-Seasonal Landsat Data and Multiple Environmental Factors in Yunnan Province Based on Google Earth Engine. - Ruonan Li; Leiguang Wang; Guanglong Ou; Weiheng Xu; Qinling Dai (IGARSS, 2021)

Mapping Forest Aboveground Biomass with MODIS and Fengyun-3C VIRR Imageries in Yunnan Province, Southwest China Using Linear Regression, K-Nearest Neighbor and Random Forest. - Huafang Chen; Zhihao Qin; De-Li Zhai; Guanglong Ou; Xiong Li; Gaojuan Zhao; Jinlong Fan; Chunliang Zhao; Hui Xu (Remote. Sens., 2022)

Enhancing Aboveground Biomass Estimation for Three Pinus Forests in Yunnan, SW China, Using Landsat 8. - Jing Tang; Ying Liu; Lu Li; Yanfeng Liu; Yong Wu; Hui Xu; Guanglong Ou (Remote. Sens., 2022)

Reduction in Uncertainty in Forest Aboveground Biomass Estimation Using Sentinel-2 Images: A Case Study of Pinus densata Forests in Shangri-La City, China. - Lu Li; Boqi Zhou; Yanfeng Liu; Yong Wu; Jing Tang; Weiheng Xu; Leiguang Wang; Guanglong Ou (Remote. Sens., 2023)

Synergism of Multi-Modal Data for Mapping Tree Species Distribution - A Case Study from a Mountainous Forest in Southwest China. - Pengfei Zheng; Panfei Fang; Leiguang Wang; Guanglong Ou; Weiheng Xu; Fei Dai 002; Qinling Dai (Remote. Sens., 2023)

Estimating the Aboveground Biomass of Various Forest Types with High Heterogeneity at the Provincial Scale Based on Multi-Source Data. - Tianbao Huang; Guanglong Ou; Yong Wu; Xiaoli Zhang; Zihao Liu; Hui Xu; Xiongwei Xu; Zhenghui Wang; Can Xu (Remote. Sens., 2023)

Retrieval of Three-Dimensional Green Volume in Urban Green Space from Multi-Source Remote Sensing Data. - Zehu Hong; Weiheng Xu; Yun Liu; Leiguang Wang; Guanglong Ou; Ning Lu; Qinling Dai (Remote. Sens., 2023)

Aboveground biomass inversion of forestland in a Jinsha River dry-hot valley by integrating high and medium spatial resolution optical images: A case study on Yuanmou County of Southwest China. - Zihao Liu; Tianbao Huang; Yong Wu; Xiaoli Zhang; Chunxiao Liu; Zhibo Yu; Can Xu; Guanglong Ou (Ecol. Informatics, 2024)

Advances and challenges of carbon storage estimation in tea plantation. - Yun Liu; Huimei Liu; Weiheng Xu; Leiguang Wang; Qiuhua Wang; Guanglong Ou; Mei Wu; Zehu Hong (Ecol. Informatics, 2024)

Improving Forest Above-Ground Biomass Estimation Accuracy Using Multi-Source Remote Sensing and Optimized Least Absolute Shrinkage and Selection Operator Variable Selection Method. - Er Wang; Tianbao Huang; Zhi Liu; Lei Bao; Binbing Guo; Zhibo Yu; Zihang Feng; Hongbin Luo; Guanglong Ou (Remote. Sens., 2024)

Climate Interprets Saturation Value Variations Better Than Soil and Topography in Estimating Oak Forest Aboveground Biomass Using Landsat 8 OLI Imagery. - Yong Wu; Guanglong Ou; Tianbao Huang; Xiaoli Zhang; Chunxiao Liu; Zhi Liu; Zhibo Yu; Hongbin Luo; Chi Lu; Kaize Shi; Leiguang Wang; Weiheng Xu (Remote. Sens., 2024)

Improving Aboveground Biomass Estimation in Lowland Tropical Forests across Aspect and Age Stratification: A Case Study in Xishuangbanna. - Yong Wu; Guanglong Ou; Tengfei Lu; Tianbao Huang; Xiaoli Zhang; Zihao Liu; Zhibo Yu; Binbing Guo; Er Wang; Zihang Feng; Hongbin Luo; Chi Lu; et al. (Remote. Sens., 2024)

An efficient and accurate deep learning method for tree species classification that integrates depthwise separable convolution and dilated convolution using hyperspectral data. - Mengni Fu; Chi Lu; Yingwu Mao; Xiaoli Zhang; Yong Wu; Hongbin Luo; Zhi Liu; Wenfang Li; Guanglong Ou (Int. J. Digit. Earth, 2024)

A framework for montane forest canopy height estimation via integrating deep learning and multi-source remote sensing data. - Hongbin Luo; Guanglong Ou; Cairong Yue; Bodong Zhu; Yong Wu; Xiaoli Zhang; Chi Lu; Jing Tang (Int. J. Appl. Earth Obs. Geoinformation, 2025)

A precise estimation framework for individual tree AGB of Pinus kesiya var. Langbianensis utilizing point cloud registration Optimization. - Zhibo Yu; Yong Wu; Ziyu Zhang; Chi Lu; Hong Wang; Zhi Liu; Xiaoli Zhang; Lei Bao; Jie Pan; Guanglong Ou; Hongbin Luo (Int. J. Appl. Earth Obs. Geoinformation, 2025)

OMRF-HS: Object Markov Random Field With Hierarchical Semantic Regularization for High-Resolution Image Semantic Segmentation. - Haoyu Fu; Ruiqi Yang; Nan Chen; Qinling Dai; Yili Zhao; Weiheng Xu; Guanglong Ou; Chen Zheng 002; Leiguang Wang (IEEE Trans. Geosci. Remote. Sens., 2025)