Using forest fire experts’ opinions and GIS/remote sensing techniques in locating forest fire lookout towers

被引:0
|
作者
Tayebe Amiri
Abbas Banj Shafiei
Mahdi Erfanian
Omid Hosseinzadeh
Hadi Beygi Heidarlou
机构
[1] Urmia University,Forestry Department, Faculty of Natural Resources
[2] Urmia University,Forestry Department, Faculty of Agriculture and Natural Resources
[3] Urmia University,Range and Watershed Management Department, Faculty of Natural Resources
来源
Applied Geomatics | 2023年 / 15卷
关键词
Analytical hierarchy process; Fire observation tower; Forest fire; Sardasht;
D O I
暂无
中图分类号
学科分类号
摘要
Timely detection of fire and early warning to fire stations are crucial functions in fire-suppression and controlling efforts. The most effective way for early detection of forest fires is monitoring from fire lookout towers. This study aimed to develop a geographical information system (GIS) method to determine proper points for installing fire lookout towers based on using forest fire experts’ opinions to determine effective criteria and sub-criteria on locating fire lookout towers and to weigh them via analytical hierarchy process (AHP) technique. The study area, including four sub-catchments with an area of 32,446 ha, is located in Sardasht, NW Iran, in which no tower has been constructed so far. The results revealed that the most effective criteria in order of priorities are elevation, distance from roads, distance from previous burned areas, slope, and distance from residential areas. This method proposed 4 points for erecting fire lookout towers together covering about 60% of the total study area, while this coverage was more than 75% in sub-catchment number four. Based on the results, the use of forest fire experts’ opinions can lead to good results in determining and weighing (i.e., via AHP) the effective criteria on fire lookout towers locating and a GIS based method to determine optimal points for establishing fire lookout towers.
引用
收藏
页码:45 / 59
页数:14
相关论文
共 50 条
  • [1] Using forest fire experts' opinions and GIS/remote sensing techniques in locating forest fire lookout towers
    Amiri, Tayebe
    Banj Shafiei, Abbas
    Erfanian, Mahdi
    Hosseinzadeh, Omid
    Beygi Heidarlou, Hadi
    APPLIED GEOMATICS, 2023, 15 (01) : 45 - 59
  • [2] Modeling forest fire risk in the northeast of Iran using remote sensing and GIS techniques
    Adab, Hamed
    Kanniah, Kasturi Devi
    Solaimani, Karim
    NATURAL HAZARDS, 2013, 65 (03) : 1723 - 1743
  • [3] Modeling forest fire risk in the northeast of Iran using remote sensing and GIS techniques
    Hamed Adab
    Kasturi Devi Kanniah
    Karim Solaimani
    Natural Hazards, 2013, 65 : 1723 - 1743
  • [4] Spatial distribution of area affected by forest fire in uttaranchal using remote sensing and GIS techniques
    P. Kunwar
    T. S. Kachhwaha
    Journal of the Indian Society of Remote Sensing, 2003, 31 (3) : 145 - 148
  • [5] Application of remote sensing and GIS for analysis of forest fire risk and assessment of forest degradation
    Riebau, AR
    Qu, JJH
    Natural Disasters and Extreme Events in Agriculture: Impacts and Mitigation, 2005, : 335 - 350
  • [6] Remote sensing techniques in monitoring areas affected by forest fire
    Karagianni, Aikaterini Ch.
    Lazaridou, Maria A.
    FIFTH INTERNATIONAL CONFERENCE ON REMOTE SENSING AND GEOINFORMATION OF THE ENVIRONMENT (RSCY2017), 2017, 10444
  • [7] Vegetation Recovery Detection from Forest Fire Using Remote Sensing Techniques
    Ya'acob, Norsuzila
    Miskan, Ezwan Ezree
    Yusof, Azita Laity
    Jusoh, Mohd Huzaimy
    Mustafa, Norfazira
    Mahmon, Nur Anis
    Azmi, Nor Farhana
    2013 IEEE CONFERENCE ON SYSTEMS, PROCESS & CONTROL (ICSPC), 2013, : 237 - 242
  • [8] Advances in remote sensing and GIS applications in support of forest fire management
    Gitas, Ioannis Z.
    San-Miguel-Ayanz, Jesus
    Chuvieco, Emilio
    Camia, Andrea
    INTERNATIONAL JOURNAL OF WILDLAND FIRE, 2014, 23 (05) : 603 - 605
  • [9] A Remote Sensing and GIS Based Investigation of a Boreal Forest Coal Fire
    Prakash, Anupma
    Schaefer, Kate
    Witte, William K.
    Collins, Kim
    Gens, Rudiger
    Goyette, Michael P.
    INTERNATIONAL JOURNAL OF COAL GEOLOGY, 2011, 86 (01) : 79 - 86
  • [10] STUDY ON FOREST FIRE DANGER MODEL WITH REMOTE SENSING BASED ON GIS
    HUANG Fang 1
    2.College of Urban and Environmental Sciences
    Chinese Geographical Science, 2000, (01) : 62 - 68