A laser scanning system for estimating wind velocity reduction through tree windbreaks

被引:22
作者
Lee, K. H. [1 ]
Ehsani, R. [1 ]
Castle, W. S. [2 ]
机构
[1] Univ Florida, IFAS, Dept Agr & Biol Engn, Ctr Citrus Res & Educ, Lake Alfred, FL 33850 USA
[2] Univ Florida, IFAS, Dept Hort Sci, Ctr Citrus Res & Educ, Lake Alfred, FL 33850 USA
关键词
Canopy volume; Canopy density; Laser scanner; Windbreak; Wind velocity reduction; GROWTH;
D O I
10.1016/j.compag.2010.03.007
中图分类号
S [农业科学];
学科分类号
09 ;
摘要
The performance of trees as windbreaks is principally determined by their geometric characteristics. This paper reports the development of a laser scanning system to measure tree geometric characteristics on-the-go and its use to estimate percent wind velocity reduction in a windbreak. The laser scanning system was built by mounting a laser sensor, a global positioning system (GPS) receiver, and a notebook computer on a test vehicle. A windbreak was established by arranging a set of large potted trees in a pattern that provided two porosities for wind velocity measurements (windbreaks I and II). Winds generated by a blower at low and high wind velocities were directed at the centers of the tree windbreaks. Wind velocities were measured using a vane anemometer in four areas of the windbreaks, both on the windward and leeward sides. Percent wind velocity reductions between the windward and leeward sides were calculated. The laser scanning system measured the tree canopy geometric characteristics in the same areas where the wind velocities were collected. The linear correlations between the tree canopy geometric characteristics and the percent wind velocity reductions were analyzed. In tree windbreak I. the highest correlation coefficient (r) of 0.97 (root mean square deviation - RMSD = 3.61%) and 0.96 (RMSD = 3.29%) were obtained at the low (<16 in s(-1)) and high (<20 m s(-1)) wind velocity conditions, respectively. On the other hand, in tree windbreak II, the highest r values of 0.93 (RMSD = 4.59%) and 0.98 (RMSD = 2.26%) were estimated at the low (<12 m s(-1)) and high (<18 m s(-1)) wind velocity conditions, respectively. (C) 2010 Elsevier B.V. All rights reserved.
引用
收藏
页码:1 / 6
页数:6
相关论文
共 10 条
  • [1] Effects of tree windbreak on microclimate and wheat productivity in a Mediterranean environment
    Campi, P.
    Palumbo, A. D.
    Mastrorilli, M.
    [J]. EUROPEAN JOURNAL OF AGRONOMY, 2009, 30 (03) : 220 - 227
  • [2] Optimal windbreak design for wind-erosion control
    Cornelis, WM
    Gabriels, D
    [J]. JOURNAL OF ARID ENVIRONMENTS, 2005, 61 (02) : 315 - 332
  • [3] Lee KH, 2009, APPL ENG AGRIC, V25, P777
  • [4] Comparison of two 2D laser scanners for sensing object distances, shapes, and surface patterns
    Lee, Kyeong-Hwan
    Ehsani, Reza
    [J]. COMPUTERS AND ELECTRONICS IN AGRICULTURE, 2008, 60 (02) : 250 - 262
  • [5] MEAN FLOW AND SHEAR-STRESS DISTRIBUTIONS AS INFLUENCED BY VEGETATIVE WINDBREAK STRUCTURE
    SCHWARTZ, RC
    FRYREAR, DW
    HARRIS, BL
    BILBRO, JD
    JUO, ASR
    [J]. AGRICULTURAL AND FOREST METEOROLOGY, 1995, 75 (1-3) : 1 - 22
  • [6] Effect of artificial wind shelters on the growth and yield of rainfed crops
    Sudmeyer, RA
    Crawford, MC
    Meinke, H
    Poulton, PL
    Robertson, MJ
    [J]. AUSTRALIAN JOURNAL OF EXPERIMENTAL AGRICULTURE, 2002, 42 (06): : 841 - 858
  • [7] Early growth of six native Australian tree species in windbreaks and their effect on potato growth in tropical northern Australia
    Sun, D
    Dickinson, GR
    [J]. FOREST ECOLOGY AND MANAGEMENT, 1997, 95 (01) : 21 - 34
  • [8] Influence of measurement set-up of ground-based LiDAR for derivation of tree structure
    Van der Zande, Dirnitry
    Hoet, Wouter
    Jonckheere, Lnge
    van Aardt, Jan
    Coppin, Pol
    [J]. AGRICULTURAL AND FOREST METEOROLOGY, 2006, 141 (2-4) : 147 - 160
  • [9] Spatial modeling of wind speed around windbreaks
    Vigiak, O
    Sterk, G
    Warren, A
    Hagen, LJ
    [J]. CATENA, 2003, 52 (3-4) : 273 - 288
  • [10] Wei J, 2004, T ASAE, V47, P2101, DOI 10.13031/2013.17795