Yanjun Su
Yanjun Su
Professor, Institute of Botany, Chinese Academy of Sciences
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Zitiert von
Zitiert von
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
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
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
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, 1-19, 2017
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
Deep learning: individual maize segmentation from terrestrial lidar data using faster R-CNN and regional growth algorithms
S Jin, Y Su, S Gao, F Wu, T Hu, J Liu, W Li, D Wang, S Chen, Y Jiang, ...
Frontiers in plant science 9, 866, 2018
Comparison of canopy cover estimations from airborne LiDAR, aerial imagery, and satellite imagery
Q Ma, Y Su, Q Guo
IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2017
Estimating aboveground biomass of the mangrove forests on northeast Hainan Island in China using an upscaling method from field plots, UAV-LiDAR data and Sentinel-2 imagery
D Wang, B Wan, J Liu, Y Su, Q Guo, P Qiu, X Wu
International Journal of Applied Earth Observation and Geoinformation 85, 101986, 2020
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
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
Development and performance evaluation of a very low-cost UAV-LiDAR system for forestry applications
T Hu, X Sun, Y Su, H Guan, Q Sun, M Kelly, Q Guo
Remote Sensing 13 (1), 77, 2020
Evaluating maize phenotype dynamics under drought stress using terrestrial lidar
Y Su, F Wu, Z Ao, S Jin, F Qin, B Liu, S Pang, L Liu, Q Guo
Plant methods 15, 1-16, 2019
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
Artificial mangrove species mapping using pléiades-1: An evaluation of pixel-based and object-based classifications with selected machine learning algorithms
D Wang, B Wan, P Qiu, Y Su, Q Guo, X Wu
Remote Sensing 10 (2), 294, 2018
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
Lidar boosts 3D ecological observations and modelings: A review and perspective
Q Guo, Y Su, T Hu, H Guan, S Jin, J Zhang, X Zhao, K Xu, D Wei, M Kelly, ...
IEEE Geoscience and Remote Sensing Magazine 9 (1), 232-257, 2020
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
A geometric method for wood-leaf separation using terrestrial and simulated lidar data
S Tao, Q Guo, S Xu, Y Su, Y Li, F Wu
Photogrammetric Engineering & Remote Sensing 81 (10), 767-776, 2015
A practical method for SRTM DEM correction over vegetated mountain areas
Y Su, G Qinghua
ISPRS Journal of Photogrammetry and Remote Sensing 87, 216-228, 2014
Retrieving the gap fraction, element clumping index, and leaf area index of individual trees using single-scan data from a terrestrial laser scanner
Y Li, Q Guo, Y Su, S Tao, K Zhao, G Xu
ISPRS Journal of Photogrammetry and Remote Sensing 130, 308-316, 2017
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