Maps of fire occurrence - spatially explicit reconstruction of recent fire history using satellite remote sensing

被引:11
|
作者
Pleniou, Magdalini [1 ]
Xystrakis, Fotios [1 ]
Dimopoulos, Panayotis [1 ]
Koutsias, Nikos [1 ]
机构
[1] Univ Ioannina, Dept Environm & Nat Resources Management, Agrinion, Greece
来源
JOURNAL OF MAPS | 2012年 / 8卷 / 04期
关键词
fire scar mapping; satellite remote sensing; fire history reconstruction; fire frequency; fire regime; fire return interval; Greece; BLACK-HILLS; LANDSCAPE; REGIMES; RISK;
D O I
10.1080/17445647.2012.743866
中图分类号
P9 [自然地理学]; K9 [地理];
学科分类号
0705 ; 070501 ;
摘要
Maps depicting the spatially explicit fire history of an area, including variables such as fire frequency and fire return interval, are important tools promoting the understanding of processes associated with wildfires (fire ignition and spread), the assessment of the impacts of wildland fires on landscape dynamics, and decisions on appropriate management practices. Remote sensing is a cost- and time-effective alternative to automatically assess a vast amount of spatial information and produce various thematic maps. The aim of this study was to reconstruct the recent fire history of Attica region (Greece), in a spatially explicit mode by means of remote sensing techniques using a series of Landsat images acquired from 1984 to 2011. The results show that the fire scar perimeters were captured with high accuracy. Regression modelling shows that the differences between the area burned estimated from satellite data and that recorded by the forest service can be explained (86.3% of the variance) by the number of satellite images used (standardized coefficient 0.752) followed by the date of the first image (standardized coefficient 0.705). The use of satellite data as the basic source of information alongside automated classification methods should be promoted for the creation of fire history maps. The latter is further supported when considering the long history of data capture from Landsat satellites, which provide a huge, global historical archive of repeat images of the Earth's surface.
引用
收藏
页码:499 / 506
页数:8
相关论文
共 50 条
  • [21] Mapping the research history, collaborations and trends of remote sensing in fire ecology
    de Santana, Mariana M. M.
    Mariano-Neto, Eduardo
    de Vasconcelos, Rodrigo N.
    Dodonov, Pavel
    Medeiros, Jose M. M.
    SCIENTOMETRICS, 2021, 126 (02) : 1359 - 1388
  • [22] Mapping the research history, collaborations and trends of remote sensing in fire ecology
    Mariana M. M. de Santana
    Eduardo Mariano-Neto
    Rodrigo N. de Vasconcelos
    Pavel Dodonov
    José M. M. Medeiros
    Scientometrics, 2021, 126 : 1359 - 1388
  • [23] Super-Resolution Reconstruction of Remote Sensing Data Based on Multiple Satellite Sources for Forest Fire Smoke Segmentation
    Liang, Haotian
    Zheng, Change
    Liu, Xiaodong
    Tian, Ye
    Zhang, Jianzhong
    Cui, Wenbin
    REMOTE SENSING, 2023, 15 (17)
  • [24] Real time monitoring fire detection Using Remote Sensing
    Habibie, Muhammad Iqbal
    Nurda, Nety
    Akbar, Harun Idham
    Bibin Bintoro, Oni
    Arifandri, Robby
    Ramadhana, Nugraha
    2021 IEEE Asia-Pacific Conference on Geoscience, Electronics and Remote Sensing Technology, AGERS 2021 - Proceeding, 2021, : 28 - 32
  • [25] Real time monitoring fire detection Using Remote Sensing
    Habibie, Muhammad Iqbal
    Nurda, Nety
    Akbar, Harun Idham
    Bintoro, Oni Bibin
    Arifandri, Robby
    Ramadhana, Nugraha
    2021 IEEE ASIA-PACIFIC CONFERENCE ON GEOSCIENCE, ELECTRONICS AND REMOTE SENSING TECHNOLOGY (AGERS-2021), 2021, : 28 - 32
  • [26] Modeling spatially explicit fire impact on gross primary production in interior Alaska using satellite images coupled with eddy covariance
    Huang, Shengli
    Liu, Heping
    Dahal, Devendra
    Jin, Suming
    Welp, Lisa R.
    Liu, Jinxun
    Liu, Shuguang
    REMOTE SENSING OF ENVIRONMENT, 2013, 135 : 178 - 188
  • [27] Research and Application of Fire Risk Assessment Based on Satellite Remote Sensing for Transmission Line
    Chen, Xiaoming
    Li, Tao
    Ruan, Ling
    Xu, Kan
    Huang, Junjie
    Xiong, Yu
    WORLD CONGRESS ON ENGINEERING AND COMPUTER SCIENCE, WCECS 2015, VOL I, 2015, : 284 - 287
  • [28] Research on Forest Fire Monitoring Based on Multi -Source Satellite Remote Sensing Images
    Yin Jun-yue
    He Rui-rui
    Zhao Feng-jun
    Ye Jiang-xia
    SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43 (03) : 917 - 926
  • [29] Using Remote Sensing to Assess Russian Forest Fire Carbon Emissions
    A. S. Isaev
    G. N. Korovin
    S. A. Bartalev
    D. V. Ershov
    A. Janetos
    E. S. Kasischke
    H. H. Shugart
    N. H. F. French
    B. E. Orlick
    T. L. Murphy
    Climatic Change, 2002, 55 : 235 - 249
  • [30] POST-FIRE RECOVERY MONITORING USING REMOTE SENSING: A REVIEW
    Stankova, Nataliya
    AEROSPACE RESEARCH IN BULGARIA, 2023, 35 : 192 - 200