Individual tree segmentation and tree species classification in subtropical broadleaf forests using UAV-based LiDAR, hyperspectral, and ultrahigh-resolution RGB data

被引:0
|
作者
Qin, Haiming [1 ]
Zhou, Weiqi [1 ,2 ,3 ]
Yao, Yang [1 ]
Wang, Weimin [4 ,5 ,6 ]
机构
[1] State Key Laboratory of Urban and Regional Ecology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing,100085, China
[2] College of Resources and Environment, University of Chinese Academy of Sciences, Beijing,100049, China
[3] Beijing-Tianjin-Hebei Urban Megaregion National Observation and Research Station for Eco-Environmental Change, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing,100085, China
[4] Shenzhen Ecological and Environmental Monitoring Center of Guangdong Province, Shenzhen,518049, China
[5] Guangdong Greater Bay Area, Change and Comprehensive Treatment of Regional Ecology and Environment, National Observation and Research Station, Shenzhen,518049, China
[6] State Environmental Protection Scientific Observation and Research Station for Ecology and Environment of Rapid Urbanization Region, Shenzhen,518049, China
关键词
115;
D O I
暂无
中图分类号
学科分类号
摘要
引用
收藏
相关论文
共 50 条
  • [41] Tree Species Classifications of Urban Forests Using UAV-LiDAR Intensity Frequency Data
    Gong, Yulin
    Li, Xuejian
    Du, Huaqiang
    Zhou, Guomo
    Mao, Fangjie
    Zhou, Lv
    Zhang, Bo
    Xuan, Jie
    Zhu, Dien
    REMOTE SENSING, 2023, 15 (01)
  • [42] Using UAV LiDAR Intensity Frequency and Hyperspectral Features to Improve the Accuracy of Urban Tree Species Classification
    Gong, Yulin
    Zhu, Di'en
    Li, Xuejian
    Lv, Lujin
    Zhang, Bo
    Xuan, Jie
    Du, Huaqiang
    IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, 2024, 17 : 2849 - 2865
  • [43] Tree crown segmentation and species classification in a wet eucalypt forest from airborne hyperspectral and LiDAR data
    Yadav, Bechu K., V
    Lucieer, Arko
    Baker, Susan C.
    Jordan, Gregory J.
    INTERNATIONAL JOURNAL OF REMOTE SENSING, 2021, 42 (20) : 7952 - 7977
  • [44] CNN-Based Individual Tree Species Classification Using High-Resolution Satellite Imagery and Airborne LiDAR Data
    Li, Hui
    Hu, Baoxin
    Li, Qian
    Jing, Linhai
    FORESTS, 2021, 12 (12):
  • [45] Urban tree species classification using UAV-based multi-sensor data fusion and machine learning
    Hartling, Sean
    Sagan, Vasit
    Maimaitijiang, Maitiniyazi
    GISCIENCE & REMOTE SENSING, 2021, 58 (08) : 1250 - 1275
  • [46] Mapping Individual Tree Species in an Urban Forest Using Airborne Lidar Data and Hyperspectral Imagery
    Zhang, Caiyun
    Qiu, Fang
    PHOTOGRAMMETRIC ENGINEERING AND REMOTE SENSING, 2012, 78 (10): : 1079 - 1087
  • [47] ACE R-CNN: An Attention Complementary and Edge Detection-Based Instance Segmentation Algorithm for Individual Tree Species Identification Using UAV RGB Images and LiDAR Data
    Li, Yingbo
    Chai, Guoqi
    Wang, Yueting
    Lei, Lingting
    Zhang, Xiaoli
    REMOTE SENSING, 2022, 14 (13)
  • [48] Mapping forest tree species in high resolution UAV-based RGB-imagery by means of convolutional neural networks
    Schiefer, Felix
    Kattenborn, Teja
    Frick, Annett
    Frey, Julian
    Schall, Peter
    Koch, Barbara
    Schmidtlein, Sebastian
    ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING, 2020, 170 : 205 - 215
  • [49] Using Hyperspectral Images and Lidar Data to Create Models for the Classification and CAVE Visualization of Tree Species
    Pajorova, Eva
    Krammer, Peter
    Hluchy, Ladislav
    JOURNAL OF ELECTRICAL SYSTEMS, 2024, 20 (04) : 652 - 658
  • [50] Individual Tree Canopy Parameters Estimation Using UAV-Based Photogrammetric and LiDAR Point Clouds in an Urban Park
    Ghanbari Parmehr, Ebadat
    Amati, Marco
    REMOTE SENSING, 2021, 13 (11)