VEGETATION MODELLING BASED ON TLS DATA FOR ROUGHNESS COEFFICIENT ESTIMATION IN RIVER VALLEY

被引:0
|
作者
Tymkow, Przemyslaw [1 ]
Borkowski, Andrzej [1 ]
机构
[1] Wroclaw Univ Environm & Life Sci, Inst Geodesy & Geoinformat, PL-50375 Wroclaw, Poland
关键词
terrestrial laser scanning; 3D modelling; shrub modelling; convex hull; hydrodynamic modelling; point cloud;
D O I
暂无
中图分类号
P [天文学、地球科学];
学科分类号
07 ;
摘要
Many environmental studies such as generation of hydrodynamic models, that are tools for risk management, require information about vegetation conditions. The description of vegetation from the hydraulic modelling point of view should include type, distribution and arrangement of existing plants. Geometric parameters of plants can be determined on the basis of laser scanning data. Terrestrial laser scanning (TLS) allows to determine precisely not only the external shape of the plant, but the geometry of individual branches as well. A method for macro and micro-structure estimation of a single shrub is presented in this paper. The data used in the research were measured with Leica ScanStation II. In the macro-structural approach, where the plant is considered as a compact solid, it is important to choose those measurement points that represent the surfaces of the plant. To achieve better matching to the non-convex parts of the hull the use of a multi-stage solid generation procedure is proposed. In this approach points are divided into segments with common edges. The method assumes that the plant is divided along the z axis into segments of a given width. First, points from one segment are projected onto the division plane. Then, 2D convex hull is generated for all the points. Finally, selected points (again in 3D space) are used for 3D convex hull generation. In order to define the geometry of vegetation the micro-structure procedure is supplemented by the segmentation algorithm to split points into groups, which form one branch. To verify the accuracy, the total surface area and the total shrub volume of branches calculated for individual variants were compared with the total surface area and volume derived from the direct measurements. Additionally, the qualitative analysis was also carried out.
引用
收藏
页码:309 / 313
页数:5
相关论文
共 50 条
  • [21] Distribution modelling of vegetation types based on area frame survey data
    Horvath, Peter
    Halvorsen, Rune
    Stordal, Frode
    Tallaksen, Lena Merete
    Tang, Hui
    Bryn, Anders
    APPLIED VEGETATION SCIENCE, 2019, 22 (04) : 547 - 560
  • [22] Satellite-based estimation of roughness lengths and displacement heights for wind resource modelling
    Floors, Rogier
    Badger, Merete
    Troen, Ib
    Grogan, Kenneth
    Permien, Finn-Hendrik
    WIND ENERGY SCIENCE, 2021, 6 (06) : 1379 - 1400
  • [23] An Estimation Method for Soft Fault Reflection Coefficient of Power Cable Based on Sliding-Window TLS-ESPRIT
    Tang, Zhirong
    Zhou, Kai
    Xu, Yefei
    Meng, Pengfei
    Zhang, Hongzhou
    IEEE TRANSACTIONS ON POWER DELIVERY, 2024, 39 (06) : 3092 - 3100
  • [24] Land surface roughness impacted by typical vegetation restoration projects on aeolian sandy lands in the Yarlung Zangbo River valley, southern Tibetan plateau
    Zhang, Baojun
    Xiong, Donghong
    Tang, Yongfa
    Liu, Lin
    INTERNATIONAL SOIL AND WATER CONSERVATION RESEARCH, 2022, 10 (01) : 109 - 118
  • [25] Estimation of Photosynthetic and Non-Photosynthetic Vegetation Coverage in the Lower Reaches of Tarim River Based on Sentinel-2A Data
    Guo, Zengkun
    Kurban, Alishir
    Ablekim, Abdimijit
    Wu, Shupu
    Van de Voorde, Tim
    Azadi, Hossein
    Maeyer, Philippe De
    Dufatanye Umwali, Edovia
    REMOTE SENSING, 2021, 13 (08)
  • [26] Estimation of Water Demand for Riparian Forest Vegetation Based on Sentinel-2 Data: A Case Study of the Kokyar River Basin
    Liu, Xianhe
    Alifujiang, Yilinuer
    Abliz, Abdugheni
    Asaiduli, Halidan
    Ye, Panqing
    Nurahmat, Buasi
    FORESTS, 2024, 15 (10):
  • [27] Evapotranspiration from Natural Vegetation in the Central Valley of California: Monthly Grass Reference-Based Vegetation Coefficients and the Dual Crop Coefficient Approach
    Howes, Daniel J.
    Fox, Phyllis
    Hutton, Paul H.
    JOURNAL OF HYDROLOGIC ENGINEERING, 2015, 20 (10)
  • [28] Estimation of dry vegetation cover and mass from MODIS data: Verification by roughness length and sand saltation threshold
    Wu, Jing
    Kurosaki, Yasunori
    Gantsetseg, Batdelger
    Ishizuka, Masahide
    Sekiyama, Tsuyoshi Thomas
    Buyantogtokh, Batjargal
    Liu, Jiaqi
    INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION, 2021, 102
  • [29] Riparian Vegetation Mapping for Hydraulic Roughness Estimation Using Very High Resolution Remote Sensing Data Fusion
    Forzieri, Giovanni
    Moser, Gabriele
    Vivoni, Enrique R.
    Castelli, Fabio
    Canovaro, Francesco
    JOURNAL OF HYDRAULIC ENGINEERING, 2010, 136 (11) : 855 - 867
  • [30] Maize Crop Coefficient Estimation Based on Spectral Vegetation Indices and Vegetation Cover Fraction Derived from UAV-Based Multispectral Images
    Marcial-Pablo, Mariana de Jesus
    Ontiveros-Capurata, Ronald Ernesto
    Jimenez-Jimenez, Sergio Ivan
    Ojeda-Bustamante, Waldo
    AGRONOMY-BASEL, 2021, 11 (04):