| 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 | 322 | 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 | 232 | 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 | 190 | 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 | 181 | 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 | 169 | 2016 |
| 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 | 155 | 2020 |
| 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 | 153 | 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 | 152 | 2017 |
| 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 | 151 | 2022 |
| 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 | 147 | 2021 |
| 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 | 139 | 2018 |
| 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 | 138 | 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 | 131 | 2019 |
| 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 | 114 | 2020 |
| 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 | 110 | 2021 |
| 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 | 109 | 2020 |
| 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 | 105 | 2018 |
| 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 | 97 | 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 | 91 | 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 | 89 | 2017 |
Qinghua GuoPeking UniversityVerified email at pku.edu.cn
