The use of ALS, TLS and VLS measurements in mapping and monitoring urban trees. - Markus Holopainen; Mikko Vastaranta; Ville Kankare; Hannu Hyyppä; Matti Vaaja; Juha Hyyppä; Xinlian Liang; Paula Litkey; Xiaowei Yu; Harri Kaartinen; Antero Kukko; Sanna Kaasalainen; et al. (JURSE, 2011)

Detecting Changes in Forest Structure over Time with Bi-Temporal Terrestrial Laser Scanning Data. - Xinlian Liang; Juha Hyyppä; Harri Kaartinen; Markus Holopainen; Timo Melkas (ISPRS Int. J. Geo Inf., 2012)

Automatic Stem Mapping Using Single-Scan Terrestrial Laser Scanning. - Xinlian Liang; Paula Litkey; Juha Hyyppä; Harri Kaartinen; Mikko Vastaranta; Markus Holopainen (IEEE Trans. Geosci. Remote. Sens., 2012)

3D Modeling of Coarse Fluvial Sediments Based on Mobile Laser Scanning Data. - Yunsheng Wang; Xinlian Liang; Claude Flener; Antero Kukko; Harri Kaartinen; Matti Kurkela; Matti Vaaja; Hannu Hyyppä; Petteri Alho (Remote. Sens., 2013)

Automatic Stem Mapping by Merging Several Terrestrial Laser Scans at the Feature and Decision Levels. - Xinlian Liang; Juha Hyyppä (Sensors, 2013)

The Use of a Mobile Laser Scanning System for Mapping Large Forest Plots. - Xinlian Liang; Juha Hyyppä; Antero Kukko; Harri Kaartinen; Anttoni Jaakkola; Xiaowei Yu (IEEE Geosci. Remote. Sens. Lett., 2014)

The Use of a Hand-Held Camera for Individual Tree 3D Mapping in Forest Sample Plots. - Xinlian Liang; Anttoni Jaakkola; Yunsheng Wang; Juha Hyyppä; Eija Honkavaara; Jingbin Liu; Harri Kaartinen (Remote. Sens., 2014)

Possibilities of a Personal Laser Scanning System for Forest Mapping and Ecosystem Services. - Xinlian Liang; Antero Kukko; Harri Kaartinen; Juha Hyyppä; Xiaowei Yu; Anttoni Jaakkola; Yunsheng Wang (Sensors, 2014)

Automated Stem Curve Measurement Using Terrestrial Laser Scanning. - Xinlian Liang; Ville Kankare; Xiaowei Yu; Juha Hyyppä; Markus Holopainen (IEEE Trans. Geosci. Remote. Sens., 2014)

Geostatistical modeling using LiDAR-derived prior knowledge with SPOT-6 data to estimate temperate forest canopy cover and above-ground biomass via stratified random sampling. - Wang Li 001; Zheng Niu; Xinlian Liang; Zengyuan Li; Ni Huang; Shuai Gao; Cheng Wang 016; Muhammad Shakir (Int. J. Appl. Earth Obs. Geoinformation, 2015)

Reciprocal Estimation of Pedestrian Location and Motion State toward a Smartphone Geo-Context Computing Solution. - Jingbin Liu; Lingli Zhu; Yunsheng Wang; Xinlian Liang; Juha Hyyppä; Tianxing Chu; Keqiang Liu; Ruizhi Chen (Micromachines, 2015)

Comparison of Laser and Stereo Optical, SAR and InSAR Point Clouds from Air- and Space-Borne Sources in the Retrieval of Forest Inventory Attributes. - Xiaowei Yu; Juha Hyyppä; Mika Karjalainen; Kimmo Nurminen; Kirsi Karila; Mikko Vastaranta; Ville Kankare; Harri Kaartinen; Markus Holopainen; Eija Honkavaara; Antero Kukko; Anttoni Jaakkola; et al. (Remote. Sens., 2015)

Forest Data Collection Using Terrestrial Image-Based Point Clouds From a Handheld Camera Compared to Terrestrial and Personal Laser Scanning. - Xinlian Liang; Yunsheng Wang; Anttoni Jaakkola; Antero Kukko; Harri Kaartinen; Juha Hyyppä; Eija Honkavaara; Jingbin Liu (IEEE Trans. Geosci. Remote. Sens., 2015)

Can global navigation satellite system signals reveal the ecological attributes of forests? - Jingbin Liu; Juha Hyyppä; Xiaowei Yu; Anttoni Jaakkola; Xinlian Liang; Harri Kaartinen; Antero Kukko; Lingli Zhu; Yunsheng Wang; Hannu Hyyppä (Int. J. Appl. Earth Obs. Geoinformation, 2016)

International Benchmarking of the Individual Tree Detection Methods for Modeling 3-D Canopy Structure for Silviculture and Forest Ecology Using Airborne Laser Scanning. - Yunsheng Wang; Juha Hyyppä; Xinlian Liang; Harri Kaartinen; Xiaowei Yu; Eva Lindberg; Johan Holmgren; Yuchu Qin; Clément Mallet; Antonio Ferraz; Hossein Torabzadeh; Felix Morsdorf; et al. (IEEE Trans. Geosci. Remote. Sens., 2016)

Automated matching of multiple terrestrial laser scans for stem mapping without the use of artificial references. - Jingbin Liu; Xinlian Liang; Juha Hyyppä; Xiaowei Yu; Matti Lehtomäki; Jiri Pyörälä; Lingli Zhu; Yunsheng Wang; Ruizhi Chen (Int. J. Appl. Earth Obs. Geoinformation, 2017)

TLS-bridged co-prediction of tree-level multifarious stem structure variables from worldview-2 panchromatic imagery: a case study of the boreal forest. - Yi Lin 002; Tian Wei; Bin Yang 008; Yuri Knyazikhin; Yuhu Zhang; Hisashi Sato; Xing Fang; Xinlian Liang; Lei Yan; Shanlin Sun (Int. J. Digit. Earth, 2017)

Autonomous Collection of Forest Field Reference - The Outlook and a First Step with UAV Laser Scanning. - Anttoni Jaakkola; Juha Hyyppä; Xiaowei Yu; Antero Kukko; Harri Kaartinen; Xinlian Liang; Hannu Hyyppä; Yunsheng Wang (Remote. Sens., 2017)

Measuring Leaf Water Content with Dual-Wavelength Intensity Data from Terrestrial Laser Scanners. - Samuli Junttila; Mikko Vastaranta; Xinlian Liang; Harri Kaartinen; Antero Kukko; Sanna Kaasalainen; Markus Holopainen; Hannu Hyyppä; Juha Hyyppä (Remote. Sens., 2017)

An Integrated GNSS/INS/LiDAR-SLAM Positioning Method for Highly Accurate Forest Stem Mapping. - Chuang Qian 001; Hui Liu; Jian Tang 004; Yuwei Chen; Harri Kaartinen; Antero Kukko; Lingli Zhu; Xinlian Liang; Liang Chen 007; Juha Hyyppä (Remote. Sens., 2017)

Vertical Optical Scanning with Panoramic Vision for Tree Trunk Reconstruction. - Adilson Berveglieri; Antonio M. G. Tommaselli; Xinlian Liang; Eija Honkavaara (Sensors, 2017)

A Novel GNSS Technique for Predicting Boreal Forest Attributes at Low Cost. - Jingbin Liu; Juha Hyyppä; Xiaowei Yu; Anttoni Jaakkola; Antero Kukko; Harri Kaartinen; Lingli Zhu; Xinlian Liang; Yunsheng Wang; Hannu Hyyppä (IEEE Trans. Geosci. Remote. Sens., 2017)

An Approach to Tree Species Classification Using Voxel Neighborhood Density-Based Subsampling of Multiscan Terrestrial Lidar Data. - Aravind Harikumar; Xinlian Liang; Francesca Bovolo (IGARSS, 2018)

Evaluation of Close-Range Photogrammetry Image Collection Methods for Estimating Tree Diameters. - Martin Mokros; Xinlian Liang; Peter Surový; Peter Valent; Juraj Cernava; Frantisek Chudý; Daniel Tunák; Simon Salon; Ján Merganic (ISPRS Int. J. Geo Inf., 2018)

Extrinsic Calibration of 2D Laser Rangefinders Based on a Mobile Sphere. - Shoubin Chen; Jingbin Liu; Teng Wu; Wenchao Huang; Keke Liu; Deyu Yin; Xinlian Liang; Juha Hyyppä; Ruizhi Chen (Remote. Sens., 2018)

Quantitative Assessment of Scots Pine (Pinus Sylvestris L.) Whorl Structure in a Forest Environment Using Terrestrial Laser Scanning. - Jiri Pyörälä; Xinlian Liang; Mikko Vastaranta; Ninni Saarinen; Ville Kankare; Yunsheng Wang; Markus Holopainen; Juha Hyyppä (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2018)

Filtering Airborne LiDAR Data Through Complementary Cloth Simulation and Progressive TIN Densification Filters. - Shangshu Cai; Wuming Zhang; Xinlian Liang; Peng Wan 003; Jianbo Qi; Sisi Yu; Guangjian Yan; Jie Shao 002 (Remote. Sens., 2019)

Editorial for the Special Issue "Frontiers in Spectral Imaging and 3D Technologies for Geospatial Solutions". - Eija Honkavaara; Konstantinos Karantzalos; Xinlian Liang; Erica Nocerino; Ilkka Pölönen; Petri Rönnholm (Remote. Sens., 2019)

Investigating the Feasibility of Multi-Scan Terrestrial Laser Scanning to Characterize Tree Communities in Southern Boreal Forests. - Tuomas Yrttimaa; Ninni Saarinen; Ville Kankare; Xinlian Liang; Juha Hyyppä; Markus Holopainen; Mikko Vastaranta (Remote. Sens., 2019)

A Novel Calibration Method between a Camera and a 3D LiDAR with Infrared Images. - Shoubin Chen; Jingbin Liu; Xinlian Liang; Shuming Zhang; Juha Hyyppä; Ruizhi Chen (ICRA, 2020)

Integrity Monitoring for Bluetooth Low Energy Beacons RSSI Based Indoor Positioning. - Haiyun Yao; Hong Shu; Xinlian Liang; Hongji Yan; Hongxing Sun (IEEE Access, 2020)

CAE-LO: LiDAR Odometry Leveraging Fully Unsupervised Convolutional Auto-Encoder for Interest Point Detection and Feature Description. - Deyu Yin; Qian Zhang; Jingbin Liu; Xinlian Liang; Yunsheng Wang; Jyri Maanpää; Hao Ma; Juha Hyyppä; Ruizhi Chen (CoRR, 2020)

Fast registration of forest terrestrial laser scans using key points detected from crowns and stems. - Wenxia Dai; Bisheng Yang; Xinlian Liang; Zhen Dong 005; Ronggang Huang; Yunsheng Wang; Jiri Pyörälä; Antero Kukko (Int. J. Digit. Earth, 2020)

Improved 3D Stem Mapping Method and Elliptic Hypothesis-Based DBH Estimation from Terrestrial Laser Scanning Data. - Wenfang Ye; Chuang Qian 001; Jian Tang 004; Hui Liu; Xiaoyun Fan; Xinlian Liang; Hongjuan Zhang (Remote. Sens., 2020)

Point cloud data from terrestrial laser scanning for stem volume modelling of Scots pine trees. - Ninni Saarinen; Ville Kankare; Jiri Pyörälä; Tuomas Yrttimaa; Xinlian Liang; Michael A. Wulder; Markus Holopainen; Juha Hyyppä; Mikko Vastaranta (Zenodo, 2020)

Novel low-cost mobile mapping systems for forest inventories as terrestrial laser scanning alternatives. - Martin Mokros; Tomás Mikita; Arunima Singh; Julián Tomastík; Juliána Chudá; Piotr Wezyk; Karel Kuzelka; Peter Surový; Martin Klimánek; Karolina Zieba-Kulawik; Rogerio Bobrowski; Xinlian Liang (Int. J. Appl. Earth Obs. Geoinformation, 2021)

Lockdown induced night-time light dynamics during the COVID-19 epidemic in global megacities. - Gang Xu; Tianyu Xiu; Xi Li 016; Xinlian Liang; Limin Jiao (Int. J. Appl. Earth Obs. Geoinformation, 2021)

Improving TLS-based stem volume estimates by field measurements. - Timo P. Pitkänen; Pasi Raumonen; Xinlian Liang; Matti Lehtomäki; Annika Kangas (Comput. Electron. Agric., 2021)

Interest point detection from multi-beam light detection and ranging point cloud using unsupervised convolutional neural network. - Deyu Yin; Qian Zhang; Jingbin Liu; Xinlian Liang; Yunsheng Wang; Shoubin Chen; Jyri Maanpää; Juha Hyyppä; Ruizhi Chen (IET Image Process., 2021)

Voxel-Based Automatic Tree Detection and Parameter Retrieval from Terrestrial Laser Scans for Plot-Wise Forest Inventory. - Gábor Brolly; Géza Király; Matti Lehtomäki; Xinlian Liang (Remote. Sens., 2021)

Assessment of Close-Range Remote Sensing Methods for DTM Estimation in a Lowland Deciduous Forest. - Luka Jurjevic; Mateo Gasparovic; Xinlian Liang; Ivan Balenovic (Remote. Sens., 2021)

Subsidence Detection for Urban Roads Using Mobile Laser Scanner Data. - Hongxia Song; Jixian Zhang; Jianzhang Zuo; Xinlian Liang; Wenli Han; Juan Ge (Remote. Sens., 2022)

Void-Volume-Based Stem Geometric Modeling and Branch-Knot Localization in Terrestrial Laser Scanning Data. - Aravind Harikumar; Xinlian Liang; Francesca Bovolo; Lorenzo Bruzzone (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2022)

Accuracy fluctuations of ICESat-2 height measurements in time series. - Xu Wang 059; Xinlian Liang; Weishu Gong; Pasi Häkli; Yunsheng Wang (Int. J. Appl. Earth Obs. Geoinformation, 2024)

Automated Registration of Terrestrial Point Clouds Through Ground Overlapping Searching in Forests. - Xusong Dai; Xinlian Liang; Hanwen Qi; Jianchang Chen; Xu Wang 059; Xiaochen Wang; Qingjun Zhang; Jian Zhang (IEEE Trans. Geosci. Remote. Sens., 2024)

Automated First-Order Tree Branch Modeling at Plot- and Individual-Tree-Levels From Close-Range Sensing for Silviculture and Forest Ecology. - Hanwen Qi; Xinlian Liang (IEEE Trans. Geosci. Remote. Sens., 2024)

Benchmarking of Laser-Based Simultaneous Localization and Mapping Methods in Forest Environments. - Xiaochen Wang; Xinlian Liang; Mariana Batista Campos; Jian Zhang; Yunsheng Wang (IEEE Trans. Geosci. Remote. Sens., 2024)

Autonomous Exploration Under Canopy for Forest Investigation Using LiDAR and Quadrotor. - Haiyun Yao; Xinlian Liang (IEEE Trans. Geosci. Remote. Sens., 2024)

A Benchmark of Absolute and Relative Positioning Solutions in GNSS Denied Environments. - Haiyun Yao; Xinlian Liang; Ruizhi Chen; Xiaochen Wang; Hanwen Qi; Liang Chen 007; Yunsheng Wang (IEEE Internet Things J., 2024)

Forest in situ observations through a fully automated under-canopy unmanned aerial vehicle. - Xinlian Liang; Haiyun Yao; Hanwen Qi; Xiaochen Wang (Geo spatial Inf. Sci., 2024)

3D-SeqMOS: A Novel Sequential 3D Moving Object Segmentation in Autonomous Driving. - Yuan Zhuang 001; Qipeng Li; Yiwen Chen; Jianzhu Huai; Miao Li 002; Tianbing Ma; Yufei Tang; Xinlian Liang (IEEE Trans. Intell. Transp. Syst., 2024)

Deep Change Monitoring: A Hyperbolic Representative Learning Framework and a Dataset for Long-term Fine-grained Tree Change Detection. - Yante Li; Hanwen Qi; Haoyu Chen 001; Xinlian Liang; Guoying Zhao 001 (CVPR, 2025)

Individual Tree Segmentation From Airborne LiDAR Data Based on Automatic Treetop Detection and Simulated Stem-Branch Points Compensation. - Qingjun Zhang; Jiale Chen; Hanwen Qi; Xu Wang 059; Xinlian Liang (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2025)

Robust Multisource Forest Point Cloud Registration With Distribution Similarity Analysis. - Xiangjiang Liu; Huabing Huang; Daile Wang; Zhenbang Wu; Peimin Chen; Sheng Ding; Xinlian Liang; Tianhong Yang (IEEE Trans. Geosci. Remote. Sens., 2025)

ForestSemantic: a dataset for semantic learning of forest from close-range sensing. - Xinlian Liang; Hanwen Qi; Xuejie Deng; Jianchang Chen; Shangshu Cai; Qingjun Zhang; Yunsheng Wang; Antero Kukko; Juha Hyyppä (Geo spatial Inf. Sci., 2025)

Multispectral airborne laser scanning for tree species classification: a benchmark of machine learning and deep learning algorithms. - Josef Taher; Eric Hyyppä; Matti Hyyppä; Klaara Salolahti; Xiaowei Yu; Leena Matikainen; Antero Kukko; Matti Lehtomäki; Harri Kaartinen; Sopitta Thurachen; Paula Litkey; Ville Luoma; et al. (CoRR, 2025)