Artikel mit Open-Access-Mandaten - Qinghua GuoWeitere Informationen
Nicht verfügbar: 12
Neural network guided interpolation for mapping canopy height of China's forests by integrating GEDI and ICESat-2 data
X Liu, Y Su, T Hu, Q Yang, B Liu, Y Deng, H Tang, Z Tang, J Fang, Q Guo
Remote Sensing of Environment 269, 112844, 2022
Mandate: Chinese Academy of Sciences, National Natural Science Foundation of China
Stem–leaf segmentation and phenotypic trait extraction of individual maize using terrestrial LiDAR data
S Jin, Y Su, F Wu, S Pang, S Gao, T Hu, J Liu, Q Guo
IEEE Transactions on Geoscience and Remote Sensing 57 (3), 1336-1346, 2018
Mandate: Chinese Academy of Sciences, National Natural Science Foundation of China
An updated vegetation map of China (1: 1000000)
Y Su, Q Guo, T Hu, H Guan, S Jin, S An, X Chen, K Guo, Z Hao, Y Hu, ...
Science Bulletin 65 (13), 1125-1136, 2020
Mandate: Chinese Academy of Sciences
UAV-lidar aids automatic intelligent powerline inspection
H Guan, X Sun, Y Su, T Hu, H Wang, H Wang, C Peng, Q Guo
International Journal of Electrical Power & Energy Systems 130, 106987, 2021
Mandate: National Natural Science Foundation of China
Estimation of degraded grassland aboveground biomass using machine learning methods from terrestrial laser scanning data
K Xu, Y Su, J Liu, T Hu, S Jin, Q Ma, Q Zhai, R Wang, J Zhang, Y Li, H Liu, ...
Ecological Indicators 108, 105747, 2020
Mandate: Chinese Academy of Sciences, National Natural Science Foundation of China
Separating the structural components of maize for field phenotyping using terrestrial LiDAR data and deep convolutional neural networks
S Jin, Y Su, S Gao, F Wu, Q Ma, K Xu, T Hu, J Liu, S Pang, H Guan, ...
IEEE Transactions on Geoscience and Remote Sensing 58 (4), 2644-2658, 2019
Mandate: Chinese Academy of Sciences, National Natural Science Foundation of China
A novel framework to automatically fuse multiplatform LiDAR data in forest environments based on tree locations
H Guan, Y Su, T Hu, R Wang, Q Ma, Q Yang, X Sun, Y Li, S Jin, J Zhang, ...
IEEE Transactions on Geoscience and Remote Sensing 58 (3), 2165-2177, 2019
Mandate: Chinese Academy of Sciences, National Natural Science Foundation of China
Retrieval of tree branch architecture attributes from terrestrial laser scan data using a Laplacian algorithm
Y Li, Y Su, X Zhao, M Yang, T Hu, J Zhang, J Liu, M Liu, Q Guo
Agricultural and Forest Meteorology 284, 107874, 2020
Mandate: Chinese Academy of Sciences, National Natural Science Foundation of China
A novel entropy-based method to quantify forest canopy structural complexity from multiplatform lidar point clouds
X Liu, Q Ma, X Wu, T Hu, Z Liu, L Liu, Q Guo, Y Su
Remote Sensing of Environment 282, 113280, 2022
Mandate: Chinese Academy of Sciences, National Natural Science Foundation of China
Terrestrial laser scanning‐derived canopy interception index for predicting rainfall interception
Y Yu, T Gao, J Zhu, X Wei, Q Guo, Y Su, Y Li, S Deng, M Li
Ecohydrology 13 (5), e2212, 2020
Mandate: Chinese Academy of Sciences, National Natural Science Foundation of China
The Integration of Uavand Backpack Lidar Systems for Forest Inventory
Y Su, H Guan, T Hu, Q Guo
IGARSS 2018-2018 IEEE International Geoscience and Remote Sensing Symposium …, 2018
Mandate: US National Science Foundation, National Natural Science Foundation of China
Canopy conductance in a two‐storey Siberian boreal larch forest, Russia
BL Xue, Z Li, XA Yin, T Zhang, S Iida, K Otsuki, T Ohta, Q Guo
Hydrological Processes 29 (6), 1017-1026, 2015
Mandate: National Natural Science Foundation of China
Verfügbar: 98
Rapid loss of lakes on the Mongolian Plateau
S Tao, J Fang, X Zhao, S Zhao, H Shen, H Hu, Z Tang, Z Wang, Q Guo
Proceedings of the National Academy of Sciences 112 (7), 2281-2286, 2015
Mandate: Chinese Academy of Sciences, National Natural Science Foundation of China
Improved progressive TIN densification filtering algorithm for airborne LiDAR data in forested areas
X Zhao, Q Guo, Y Su, B Xue
ISPRS Journal of Photogrammetry and Remote Sensing 117, 79-91, 2016
Mandate: US National Science Foundation, National Natural Science Foundation of China
Spatial distribution of forest aboveground biomass in China: Estimation through combination of spaceborne lidar, optical imagery, and forest inventory data
Y Su, Q Guo, B Xue, T Hu, O Alvarez, S Tao, J Fang
Remote Sensing of Environment 173, 187-199, 2016
Mandate: US National Science Foundation, National Natural Science Foundation of China
Segmenting tree crowns from terrestrial and mobile LiDAR data by exploring ecological theories
S Tao, F Wu, Q Guo, Y Wang, W Li, B Xue, X Hu, P Li, D Tian, C Li, H Yao, ...
ISPRS Journal of Photogrammetry and Remote Sensing 110, 66-76, 2015
Mandate: National Natural Science Foundation of China
Evaluating the Performance of Sentinel-2, Landsat 8 and Pléiades-1 in Mapping Mangrove Extent and Species
D Wang, B Wan, P Qiu, Y Su, Q Guo, R Wang, F Sun, X Wu
Remote Sensing 10 (9), 1468, 2018
Mandate: National Natural Science Foundation of China
An integrated UAV-borne lidar system for 3D habitat mapping in three forest ecosystems across China
Q Guo, Y Su, T Hu, X Zhao, F Wu, Y Li, J Liu, L Chen, G Xu, G Lin, ...
International Journal of Remote Sensing 38 (8-10), 2954-2972, 2017
Mandate: US National Science Foundation, National Natural Science Foundation of China
Mapping Global Forest Aboveground Biomass with Spaceborne LiDAR, Optical Imagery, and Forest Inventory Data
T Hu, Y Su, B Xue, J Liu, X Zhao, J Fang, Q Guo
Remote Sensing 8 (7), 565, 2016
Mandate: US National Science Foundation, National Natural Science Foundation of China
Lidar sheds new light on plant phenomics for plant breeding and management: Recent advances and future prospects
S Jin, X Sun, F Wu, Y Su, Y Li, S Song, K Xu, Q Ma, F Baret, D Jiang, ...
ISPRS Journal of Photogrammetry and Remote Sensing 171, 202-223, 2021
Mandate: Chinese Academy of Sciences
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