Mapping the spatial distribution of forest fire danger using GIS

被引:12
|
作者
Chuvieco, E
Salas, J
机构
[1] Departmento de Geografía, Univ. de Alcala de Henares Colegios
关键词
D O I
10.1080/02693799608902082
中图分类号
P9 [自然地理学]; K9 [地理];
学科分类号
0705 ; 070501 ;
摘要
A geographical information system (GIS) is proposed as a suitable tool for mapping the spatial distribution of forest fire danger. Using a region severely affected by forest fires in Central Spain as the study area, topography, meteorological data, fuel models and human-caused risk were mapped and incorporated within a GIS. Three danger maps were generated: probability of ignition, fuel hazard and human risk, and all of them were overlaid in an integrated fire danger map, based upon the criteria established by the Spanish Forest Service. GIS make it possible to improve our knowledge of the geographical distribution of fire danger, which is crucial for suppression planning (particularly when hotshot crews are involved) and for elaborating regional fire defence plans.
引用
收藏
页码:333 / 345
页数:13
相关论文
共 50 条
  • [1] A novel HHO-RSCDT ensemble learning approach for forest fire danger mapping using GIS
    Truong, Tran Xuan
    Phuong, Doan Thi Nam
    Nghi, Le Thanh
    Nhu, Viet-Ha
    Bui, Dieu Tien
    [J]. VIETNAM JOURNAL OF EARTH SCIENCES, 2023, 45 (03): : 338 - 356
  • [2] Using GIS to Develop a Model for Forest Fire Risk Mapping
    Gheshlaghi, Hassan Abedi
    [J]. JOURNAL OF THE INDIAN SOCIETY OF REMOTE SENSING, 2019, 47 (07) : 1173 - 1185
  • [3] Using GIS to Develop a Model for Forest Fire Risk Mapping
    Hassan Abedi Gheshlaghi
    [J]. Journal of the Indian Society of Remote Sensing, 2019, 47 : 1173 - 1185
  • [4] Spatial distribution of area affected by forest fire in uttaranchal using remote sensing and GIS techniques
    P. Kunwar
    T. S. Kachhwaha
    [J]. Journal of the Indian Society of Remote Sensing, 2003, 31 (3) : 145 - 148
  • [5] GIS-based spatial prediction of tropical forest fire danger using a new hybrid machine learning method
    Dieu Tien Bui
    Hung Van Le
    Nhat-Duc Hoang
    [J]. ECOLOGICAL INFORMATICS, 2018, 48 : 104 - 116
  • [6] SPATIAL ANALYSIS OF FOREST FIRE DANGER IN PUEBLA, MEXICO
    Carrillo Garcia, Rosa Laura
    Arturo Rodriguez, Dante
    Tchikoue, Hubert
    Monterroso Rivas, Alejandro Ismael
    Santillan Perez, Javier
    [J]. INTERCIENCIA, 2012, 37 (09) : 678 - 683
  • [7] Mapping of vegetation cover using Sentinel-2 to estimate forest fire danger
    Yankovich, Elena P.
    Yankovich, Ksenia S.
    Baranovskiy, Nikolay V.
    Bazarov, Alexander V.
    Sychev, Roman S.
    Badmaev, Nimazhap B.
    [J]. REMOTE SENSING OF CLOUDS AND THE ATMOSPHERE XXIV, 2019, 11152
  • [8] STUDY ON FOREST FIRE DANGER MODEL WITH REMOTE SENSING BASED ON GIS
    HUANG Fang 1
    2.College of Urban and Environmental Sciences
    [J]. Chinese Geographical Science, 2000, (01) : 62 - 68
  • [9] Synergy of GIS and Remote Sensing Data in Forest Fire Danger Modeling
    Hernandez-Leal, Pedro A.
    Gonzalez-Calvo, Alejandro
    Arbelo, Manuel
    Barreto, Africa
    Alonso-Benito, Alfonso
    [J]. IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, 2008, 1 (04) : 240 - 247
  • [10] Study on forest fire danger model with remote sensing based on GIS
    Huang F.
    Liu X.-N.
    Yuan J.-G.
    [J]. Chinese Geographical Science, 2000, 10 (1) : 61 - 67