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Yanjun Su
Yanjun Su
Professor, Institute of Botany, Chinese Academy of Sciences
Verified email at ucmerced.edu
Title
Cited by
Cited by
Year
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
1872016
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
1612016
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
1372017
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
1182016
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
1162018
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
1032018
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
952017
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
852020
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
792018
A geometric method for wood-leaf separation using terrestrial and simulated lidar data
S Tao, Q Guo, Y Su, S Xu, Y Li, F Wu
Photogrammetric Engineering & Remote Sensing 81 (10), 767-776, 2015
742015
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
702019
Airborne Lidar-derived volume metrics for aboveground biomass estimation: A comparative assessment for conifer stands
S Tao, Q Guo, L Li, B Xue, M Kelly, W Li, G Xu, Y Su
Agricultural and forest meteorology 198, 24-32, 2014
692014
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
682017
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
652018
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
652014
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
642020
Evaluating short‐and long‐term impacts of fuels treatments and simulated wildfire on an old‐forest species
DJ Tempel, RJ Gutiérrez, JJ Battles, DL Fry, Y Su, Q Guo, MJ Reetz, ...
Ecosphere 6 (12), 1-18, 2015
57*2015
Application of deep learning in ecological resource research: Theories, methods, and challenges
Q Guo, S Jin, M Li, Q Yang, K Xu, Y Ju, J Zhang, J Xuan, J Liu, Y Su, Q Xu, ...
Science China Earth Sciences 63, 1457-1474, 2020
522020
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
512021
Simple method for direct crown base height estimation of individual conifer trees using airborne LiDAR data
L Luo, Q Zhai, Y Su, Q Ma, M Kelly, Q Guo
Optics express 26 (10), A562-A578, 2018
512018
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