Guanglong Ou

According to our database, Guanglong Ou authored at least 14 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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, December, 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, Leiguang Wang, Weiheng Xu

Remote. Sens., April, 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., April, 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

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

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., November, 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., July, 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, Qinling Dai

Remote. Sens., February, 2023

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., February, 2023

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

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

2021

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

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021

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

Improving Aboveground Biomass Estimation of <i>Pinus densata</i> 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