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ORCIDYong Wu 0010
Person information
- affiliation: Southwest Forestry University, Kunming, Yunnan, China
Other persons with the same name
- Yong Wu — disambiguation page
- Yong Wu 0001
![[0000-0003-2206-8594]](https://devdomain4test.ir/img/orcid-mark.12x12.png "0000-0003-2206-8594")
— Griffith University, Gold Coast, QLD, Australia - Yong Wu 0002 — Inha University, Department of Chemistry, Incheon, South Korea
- Yong Wu 0003 — Tsinghua University, Department of Electronic Engineering / Graduate School at Shenzhen, China (and 1 more)
- Yong Wu 0004 — Zhejiang University, Ningbo Institute of Technology, Department of Fundamental Education, China (and 1 more)
- Yong Wu 0005 — Donghua University, Glorious Sun School of Business and Management, Shanghai, China
- Yong Wu 0006 — Anhui Normal University, Wuhu, Anhui, China
- Yong Wu 0007 — Shanghai Institute of Microsystem and Information Technology, Chinese Academy of Sciences, Shanghai, China
- Yong Wu 0008 — National Agricultural Technology Extension and Service Center, Beijing, China
- Yong Wu 0009 — Tsinghua University, Beijing, China
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2020 – today
- 2025
[j9]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)- [j8]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) - 2024
- [j7]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) - [j6]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) - [j5]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) - [j4]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) - 2023
- [j3]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) - [j2]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) - 2022
- [j1]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)
Coauthor Index
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