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Guanglong Ou
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2020 – today
- 2026
[j18]Lisha Nie, Leiguang Wang, Yuxuan Li, Peirou Yang, Zhigang Lv, Yun Liu, Weiheng Xu, Guanglong Ou, Weili Kou:
Forest fire risk zonation in Yunnan Province using multi-source indicators and interpretable machine learning. Ecol. Informatics 95: 103769 (2026)- 2025
[j17]Hongbin Luo, Guanglong Ou
, Cairong Yue, Bodong Zhu, Yong Wu
, Xiaoli Zhang, Chi Lu, Jing Tang:
A framework for montane forest canopy height estimation via integrating deep learning and multi-source remote sensing data. Int. J. Appl. Earth Obs. Geoinformation 138: 104474 (2025)
[j16]Zhibo Yu, Yong Wu
, Ziyu Zhang, Chi Lu, Hong Wang, Zhi Liu, Xiaoli Zhang, Lei Bao, Jie Pan, Guanglong Ou
, Hongbin Luo
:
A precise estimation framework for individual tree AGB of Pinus kesiya var. Langbianensis utilizing point cloud registration Optimization. Int. J. Appl. Earth Obs. Geoinformation 140: 104612 (2025)
[j15]Haoyu Fu
, Ruiqi Yang
, Nan Chen
, Qinling Dai, Yili Zhao, Weiheng Xu, Guanglong Ou
, Chen Zheng
, Leiguang Wang
:
OMRF-HS: Object Markov Random Field With Hierarchical Semantic Regularization for High-Resolution Image Semantic Segmentation. IEEE Trans. Geosci. Remote. Sens. 63: 1-18 (2025)- 2024
[j14]Mengni Fu, Chi Lu
, Yingwu Mao, Xiaoli Zhang, Yong Wu
, Hongbin Luo, Zhi Liu, Wenfang Li, Guanglong Ou
:
An efficient and accurate deep learning method for tree species classification that integrates depthwise separable convolution and dilated convolution using hyperspectral data. Int. J. Digit. Earth 17(1) (2024)
[j13]Yun Liu, Huimei Liu, Weiheng Xu, Leiguang Wang, Qiuhua Wang, Guanglong Ou
, Mei Wu, Zehu Hong:
Advances and challenges of carbon storage estimation in tea plantation. Ecol. Informatics 81: 102616 (2024)
[j12]Zihao Liu
, Tianbao Huang
, Yong Wu
, Xiaoli Zhang, Chunxiao Liu, Zhibo Yu, Can Xu, Guanglong Ou
:
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. Ecol. Informatics 83: 102796 (2024)
[j11]Yong Wu
, Guanglong Ou
, Tengfei Lu, Tianbao Huang
, Xiaoli Zhang, Zihao Liu
, Zhibo Yu, Binbing Guo, Er Wang, Zihang Feng, Hongbin Luo
, Chi Lu
, Leiguang Wang, Weiheng Xu
:
Improving Aboveground Biomass Estimation in Lowland Tropical Forests across Aspect and Age Stratification: A Case Study in Xishuangbanna. Remote. Sens. 16(7): 1276 (2024)
[j10]Yong Wu
, Guanglong Ou
, Tianbao Huang
, Xiaoli Zhang, Chunxiao Liu, Zhi Liu, Zhibo Yu, Hongbin Luo
, Chi Lu
, Kaize Shi, Leiguang Wang, Weiheng Xu
:
Climate Interprets Saturation Value Variations Better Than Soil and Topography in Estimating Oak Forest Aboveground Biomass Using Landsat 8 OLI Imagery. Remote. Sens. 16(8): 1338 (2024)
[j9]Er Wang, Tianbao Huang
, Zhi Liu, Lei Bao
, Binbing Guo, Zhibo Yu, Zihang Feng, Hongbin Luo
, Guanglong Ou
:
Improving Forest Above-Ground Biomass Estimation Accuracy Using Multi-Source Remote Sensing and Optimized Least Absolute Shrinkage and Selection Operator Variable Selection Method. Remote. Sens. 16(23): 4497 (2024)- 2023
[j8]Lu Li, Boqi Zhou, Yanfeng Liu, Yong Wu
, Jing Tang, Weiheng Xu
, Leiguang Wang, Guanglong Ou
:
Reduction in Uncertainty in Forest Aboveground Biomass Estimation Using Sentinel-2 Images: A Case Study of Pinus densata Forests in Shangri-La City, China. Remote. Sens. 15(3): 559 (2023)
[j7]Pengfei Zheng, Panfei Fang, Leiguang Wang
, Guanglong Ou
, Weiheng Xu
, Fei Dai, Qinling Dai:
Synergism of Multi-Modal Data for Mapping Tree Species Distribution - A Case Study from a Mountainous Forest in Southwest China. Remote. Sens. 15(4): 979 (2023)
[j6]Tianbao Huang
, Guanglong Ou
, Yong Wu
, Xiaoli Zhang, Zihao Liu
, Hui Xu, Xiongwei Xu, Zhenghui Wang, Can Xu:
Estimating the Aboveground Biomass of Various Forest Types with High Heterogeneity at the Provincial Scale Based on Multi-Source Data. Remote. Sens. 15(14): 3550 (2023)
[j5]Zehu Hong, Weiheng Xu
, Yun Liu, Leiguang Wang
, Guanglong Ou
, Ning Lu, Qinling Dai:
Retrieval of Three-Dimensional Green Volume in Urban Green Space from Multi-Source Remote Sensing Data. Remote. Sens. 15(22): 5364 (2023)- 2022
[j4]Jing Tang, Ying Liu, Lu Li, Yanfeng Liu, Yong Wu
, Hui Xu, Guanglong Ou
:
Enhancing Aboveground Biomass Estimation for Three Pinus Forests in Yunnan, SW China, Using Landsat 8. Remote. Sens. 14(18): 4589 (2022)
[j3]Huafang Chen, Zhihao Qin, De-Li Zhai, Guanglong Ou
, Xiong Li
, Gaojuan Zhao, Jinlong Fan, Chunliang Zhao, Hui Xu:
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. Remote. Sens. 14(21): 5456 (2022)- 2021
[c1]Ruonan Li, Leiguang Wang, Guanglong Ou
, Weiheng Xu, Qinling Dai:
Mapping Forest Type with Multi-Seasonal Landsat Data and Multiple Environmental Factors in Yunnan Province Based on Google Earth Engine. IGARSS 2021: 6468-6471
2010 – 2019
- 2019
[j2]Guanglong Ou
, Chao Li, Yanyu Lv, Anchao Wei, Hexian Xiong, Hui Xu, Guangxing Wang
:
Improving Aboveground Biomass Estimation of Pinus densata Forests in Yunnan Using Landsat 8 Imagery by Incorporating Age Dummy Variable and Method Comparison. Remote. Sens. 11(7): 738 (2019)
[j1]Guanglong Ou
, Yanyu Lv, Hui Xu, Guangxing Wang
:
Improving Forest Aboveground Biomass Estimation of Pinus densata Forest in Yunnan of Southwest China by Spatial Regression using Landsat 8 Images. Remote. Sens. 11(23): 2750 (2019)
Coauthor Index

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last updated on 2026-07-18 00:15 CEST by the dblp team
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