LiDAR-Based Wildfire Prevention in WUI: The Automatic Detection, Measurement and Evaluation of Forest Fuels

被引:39
作者
Fernandez-Alvarez, Marta [1 ]
Armesto, Julia [1 ]
Picos, Juan [1 ]
机构
[1] A Xunqueira Campus Univ, Forestry Engn Sch, Pontevedra 36005, Spain
关键词
forest fire; LiDAR; automatic measuring; tree characterization; shrub evaluation; WAVE-FORM LIDAR; INDIVIDUAL TREES; AIRBORNE LIDAR; HEIGHT; SEGMENTATION; PARAMETERS; FIRE; ALGORITHMS; MODELS; LEVEL;
D O I
10.3390/f10020148
中图分类号
S7 [林业];
学科分类号
0829 ; 0907 ;
摘要
This paper describes a methodology using LiDAR point clouds with an ultra-high resolution in the characterization of forest fuels for further wildfire prevention and management. Biomass management strips were defined in three case studies using a particular Spanish framework. The data were acquired through a UAV platform. The proposed methodology allows for the detection, measurement and characterization of individual trees, as well as the analysis of shrubs. The individual tree segmentation process employed a canopy height model, and shrub cover LiDAR-derived models were used to characterize the vegetation in the strips. This way, the verification of the geometric legal restrictions was performed automatically and objectively using decision trees and GIS tools. As a result, priority areas, where wildfire prevention efforts should be concentrated in order to control wildfires, can be identified.
引用
收藏
页数:20
相关论文
共 45 条
  • [1] A simulation study of thinning and fuel treatments on a wildland-urban interface in eastern Oregon, USA
    Ager, Alan A.
    McMahan, Andrew J.
    Barrett, James J.
    McHugh, Charles W.
    [J]. LANDSCAPE AND URBAN PLANNING, 2007, 80 (03) : 292 - 300
  • [2] A fire modeling approach to assess wildfire exposure of valued resources in central Navarra, Spain
    Alcasena, Fermin J.
    Salis, Michele
    Vega-Garcia, Cristina
    [J]. EUROPEAN JOURNAL OF FOREST RESEARCH, 2016, 135 (01) : 87 - 107
  • [3] Estimating forest canopy fuel parameters using LIDAR data
    Andersen, HE
    McGaughey, RJ
    Reutebuch, SE
    [J]. REMOTE SENSING OF ENVIRONMENT, 2005, 94 (04) : 441 - 449
  • [4] [Anonymous], 1983, INT143 USDA FOR SERV, DOI DOI 10.2737/INT-GTR-143
  • [5] [Anonymous], 2001, Federal Register, V66, P751
  • [6] Layer Stacking: A Novel Algorithm for Individual Forest Tree Segmentation from LiDAR Point Clouds
    Ayrey, Elias
    Fraver, Shawn
    Kershaw, John A., Jr.
    Kenefic, Laura S.
    Hayes, Daniel
    Weiskittel, Aaron R.
    Roth, Brian E.
    [J]. CANADIAN JOURNAL OF REMOTE SENSING, 2017, 43 (01) : 16 - 27
  • [7] Botequilha-Leitao A, 2012, GEOFOCUS-REV INT CIE, V12, P93
  • [8] Classifying individual tree species under leaf-off and leaf-on conditions using airborne lidar
    Brandtberg, Tomas
    [J]. ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING, 2007, 61 (05) : 325 - 340
  • [9] Estimating forest canopy parameters from satellite waveform LiDAR by inversion of the FLIGHT three-dimensional radiative transfer model
    Bye, I. J.
    North, P. R. J.
    Los, S. O.
    Kljun, N.
    Rosette, J. A. B.
    Hopkinson, C.
    Chasmer, L.
    Mahoney, C.
    [J]. REMOTE SENSING OF ENVIRONMENT, 2017, 188 : 177 - 189
  • [10] Chas Amil M.L., 2013, P 6 C FOR ESP VIT GA