Quantifying the effectiveness of shaded fuel breaks from ground-based, aerial, and spaceborne observations

被引:6
作者
Baijnath-Rodino, Janine A. [1 ]
Martinez, Alexandre [1 ,2 ]
York, Robert A. [3 ]
Foufoula-Georgiou, Efi [1 ,4 ]
AghaKouchak, Amir [1 ]
Banerjee, Tirtha [1 ]
机构
[1] Univ Calif Irvine, Dept Civil & Environm Engn, Interdisciplinary Sci & Engn Bldg, Irvine, CA 92697 USA
[2] Inc Newark Calif, Dept Exposure Modeling, Risk Management Solut, Newark, CA 94560 USA
[3] Univ Calif Berkeley, Dept Environm Sci Policy & Management, Georgetown, CA 94720 USA
[4] Univ Calif Irvine, Dept Earth Syst Sci, Irvine, CA USA
基金
美国农业部; 美国国家科学基金会;
关键词
Multispectral analysis; Remote Controlled Aerial Vehicles; Fuel break; Wildfires; Burn severity; POTENTIAL FIRE BEHAVIOR; SIERRA-NEVADA; PRESCRIBED FIRE; FOREST; VEGETATION; SEVERITY; CALIFORNIA; WILDFIRE; RANGE;
D O I
10.1016/j.foreco.2023.121142
中图分类号
S7 [林业];
学科分类号
0829 ; 0907 ;
摘要
Shaded fuel breaks are treatments that aim to mitigate wildfires by establishing linearly aligned locations where wildfire suppression efforts can be more effective at stopping wildfires. Despite the potential of fuel breaks to alter fire behavior, there have been limited quantitative assessments of their effectiveness following exposure to wildfires. In addition, wildfires often occur in complex terrains that are difficult to access with ground vehicles and sensors, posing challenges for data acquisition. However, the use of Remote-controlled Aerial Vehicles (RAVs), such as drones, is becoming increasingly popular as a viable means of conducting high-resolution ob-servations in areas of interest. This study presents the results from a unique opportunity to utilize three distinct observation scale platforms (in-situ, aerial, and spaceborne) to investigate the burn severity impacts across a prior shaded fuel break that serendipitously encountered the 2020 Creek Fire in the Sierra Nevada forests of California, USA. To provide a direct measure of fire severity, ground-based measurements determined the per-centage crown volume (PCV) of scorch and char as a function of distance from the fuel break edge. Along five transects of the fuel break, we also utilized visible bands from drone imagery and digital photogrammetry, to generate georeferenced orthophotos and quantify vegetation health using the Green Leaf Index (GLI). We also quantified burn severity by computing the Delta Normalized Burn Ratio (dNBR) and vegetation health using the Normalized Difference Vegetation Index (NDVI) from Sentinel 2 spaceborne observations. Our results indicate that within the fuel break, the PCV of char is 2 x less than it was outside of it (with PCV char declining at a rate of 2% per 3 m into the fuel break). Burn severity is 5 x less, and vegetation health is approximately 3 x greater within the fuel break compared to directly outside. Furthermore, postfire vegetation health was only 1 x less within the fuel break compared to the pre fire condition, whereas it was 5 x less in the surrounding region. The results confirm that the fuel break altered the fire behavior, reducing the fire intensity, thereby proving effective at reducing fire burn severity and preserving vegetation health within the fuel break.
引用
收藏
页数:9
相关论文
共 56 条
  • [1] Agee J.K., 1996, P 17 ANN FOR VEG MAN
  • [2] The use of shaded fuelbreaks in landscape fire management
    Agee, JK
    Bahro, B
    Finney, MA
    Omi, PN
    Sapsis, DB
    Skinner, CN
    van Wagtendonk, JW
    Weatherspoon, CP
    [J]. FOREST ECOLOGY AND MANAGEMENT, 2000, 127 (1-3) : 55 - 66
  • [3] [Anonymous], 2006, FIRE ECOL, DOI DOI 10.4996/FIREECOLOGY.0202003
  • [4] [Anonymous], 2011, GEN TECHNICAL REPORT
  • [5] [Anonymous], 2003, P 2 INT WILDL FIR EC
  • [6] Banerjee T., 2020, SCI REP-UK, V10, P1
  • [7] Impacts of Forest Thinning on Wildland Fire Behavior
    Banerjee, Tirtha
    [J]. FORESTS, 2020, 11 (09):
  • [8] Monetising the savings of remotely sensed data and information in Burn Area Emergency Response (BAER) wildfire assessment
    Bernknopf, Richard
    Kuwayama, Yusuke
    Gibson, Reily
    Blakely, Jessica
    Mabee, Bethany
    Clifford, T. J.
    Quayle, Brad
    Epting, Justin
    Hardy, Terry
    Goodrich, David
    [J]. INTERNATIONAL JOURNAL OF WILDLAND FIRE, 2021, 30 (01) : 18 - 29
  • [9] Introducing Close-Range Photogrammetry for Characterizing Forest Understory Plant Diversity and Surface Fuel Structure at Fine Scales
    Bright, Benjamin C.
    Loudermilk, E. Louise
    Pokswinski, Scott M.
    Hudak, Andrew T.
    O'Brien, Joseph J.
    [J]. CANADIAN JOURNAL OF REMOTE SENSING, 2016, 42 (05) : 460 - 472
  • [10] Monitoring Mega-Crown Leaf Turnover from Space
    Bush, Emma R.
    Mitchard, Edward T. A.
    Silva, Thiago S. F.
    Dimoto, Edmond
    Dimbonda, Pacome
    Makaga, Loic
    Abernethy, Katharine
    [J]. REMOTE SENSING, 2020, 12 (03)