TREE CROWN DETECTION AND DELINEATION USING OPTICAL SATELLITE IMAGERY

被引:0
作者
Huang, Xiaojing [1 ]
Shi, Chenghua [1 ]
Liew, Soo Chin [1 ]
机构
[1] Natl Univ Singapore, Ctr Remote Imaging Sensing & Proc, Singapore, Singapore
来源
IGARSS 2018 - 2018 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM | 2018年
关键词
tree crown detection; canopy; tree crown; high spatial resolution; object based method;
D O I
暂无
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Automated individual tree crown detection and delineation (ITCD) is essential for forest mapping, sustainable urban planning and 3D city model. In this paper, ITCD using high-resolution optical Worldview-2 satellite imagery over Singapore is presented. The object-based multiresolution approach for tree mapping including tree positions, crown sizes and canopy gaps is described. Accuracy assessment is performed with ground truth data.
引用
收藏
页码:2944 / 2947
页数:4
相关论文
共 50 条
  • [31] Hyperspectral tree crown classification using the multiple instance adaptive cosine estimator
    Zou, Sheng
    Gader, Paul
    Zare, Alina
    PEERJ, 2019, 7
  • [32] Tree Crown Mapping in Managed Woodlands (Parklands) of Semi-Arid West Africa Using WorldView-2 Imagery and Geographic Object Based Image Analysis
    Karlson, Martin
    Reese, Heather
    Ostwald, Madelene
    SENSORS, 2014, 14 (12) : 22643 - 22669
  • [33] Automatic detection tree crown and height using Mask R-CNN based on unmanned aerial vehicles images for biomass mapping
    Fu, Hancong
    Zhao, Hengqian
    Jiang, Jinbao
    Zhang, Yujiao
    Liu, Ge
    Xiao, Wanshan
    Du, Shouhang
    Guo, Wei
    Liu, Xuanqi
    FOREST ECOLOGY AND MANAGEMENT, 2024, 555
  • [34] A Crown Morphology-Based Approach to Individual Tree Detection in Subtropical Mixed Broadleaf Urban Forests Using UAV LiDAR Data
    Xu, Wenbing
    Deng, Susu
    Liang, Dan
    Cheng, Xiaojun
    REMOTE SENSING, 2021, 13 (07)
  • [35] Global monitoring of soil multifunctionality in drylands using satellite imagery and field data
    Hernandez-Clemente, R.
    Hornero, A.
    Gonzalez-Dugo, V.
    Berdugo, M.
    Quero, J. L.
    Jimenez, J. C.
    Maestre, F. T.
    REMOTE SENSING IN ECOLOGY AND CONSERVATION, 2023, 9 (06) : 743 - 758
  • [36] Estimation of Forest Crown Density Using Pleiades Satellite Data and Nonparametric Classification Method
    Kalbi, Siavash
    Hassanvand, Mohammad Nabi
    Soosani, Javad
    Abrary, Kambiz
    Naghavi, Hamed
    JOURNAL OF THE INDIAN SOCIETY OF REMOTE SENSING, 2018, 46 (07) : 1151 - 1158
  • [37] MangoGAN: a general adversarial network-based deep learning architecture for mango tree crown detection
    Kestur, Ramesh
    Kulkarni, Anjali
    Bhaskar, Rahul
    Sreenivasa, Prajwal
    Dhanya Sri, Dasari
    Choudhary, Anubhaw
    Balaji Prabhu, Baluvaneralu V.
    Anand, Gautham
    Narasipura, Omkar
    JOURNAL OF APPLIED REMOTE SENSING, 2022, 16 (01)
  • [38] Impact of Parameters and Tree Stand Features on Accuracy of Watershed-Based Individual Tree Crown Detection Method Using ALS Data in Coniferous Forests from North-Eastern Poland
    Kozniewski, Marcin
    Kolendo, Lukasz
    Chmur, Szymon
    Ksepko, Marek
    REMOTE SENSING, 2025, 17 (04)
  • [39] Cost-effective method for the estimation of tree crown density in urban settings using a smartphone
    Sippel, Ivo
    Moeller, Lucie
    Friesen, Jan
    BLUE-GREEN SYSTEMS, 2023, 5 (02) : 121 - 134
  • [40] Capturing tree crown formation through implicit surface reconstruction using airborne lidar data
    Kato, Akira
    Moskal, L. Monika
    Schiess, Peter
    Swanson, Mark E.
    Calhoun, Donna
    Stuetzle, Werner
    REMOTE SENSING OF ENVIRONMENT, 2009, 113 (06) : 1148 - 1162