A case study on fractal simulation of forest fire spread

被引:2
作者
朱启疆
戎太宗
孙睿
机构
关键词
remote sensing; forest flre monitoring; fire-field spreading; fractal simulation;
D O I
暂无
中图分类号
TP79 [遥感技术的应用];
学科分类号
081102 ; 0816 ; 081602 ; 083002 ; 1404 ;
摘要
This paper relates to the semi-empirical model based on fire field energy balance and the physical model based on land temperature, aiming to provide a practical way of describing fire spread. Fire spread is determined by the characteristics of combustible materials and the agency of meteorological factors and terrains. Combustible materials, such as surface area, have no featured scale, yet the process of forest fire spread contains the self-replicating feature, both of which contribute to the self-similarity of fire spread. Consequently, fire behavior can be described by fractal geometry. In this research, we select Wuchagou forest in Da Hinggan Mountains as the experimental site where a forest fire took place three years ago. The forest fire was detected on low-resolution NOAA-AVHRR images, and fire spread was simulated on high-resolution TM images as another attempt to merge information. Based on remote sensing and GIS, we adopted the method of limited spreading lumping (DLA) to describe growing phe
引用
收藏
页码:104 / 112 +114
页数:10
相关论文
共 50 条
[31]   Assessing forest fragmentation and connectivity: a case study in the Carpathians [J].
Ostapowicz, Katarzyna ;
Estreguil, Christine ;
Kozak, Jacek ;
Vogt, Peter .
REMOTE SENSING FOR ENVIRONMENTAL MONITORING, GIS APPLICATIONS AND GEOLOGY VI, 2006, 6366
[32]   The use of different remote sensing imagery to forest lands a case study: Belgrad forest [J].
Musaoglu, N ;
Kantarci, MD .
REMOTE SENSING IN TRANSITION, 2004, :103-107
[33]   Application of Remote Sensing on Monitoring of Forest Fire [J].
Zhang, Jianhuan ;
Lin, Shan ;
Kong, Linghua ;
Chen, Yanping .
AUTOMATION EQUIPMENT AND SYSTEMS, PTS 1-4, 2012, 468-471 :290-+
[34]   Forest fire in India: a review of the knowledge base [J].
Joseph, Shijo ;
Anitha, K. ;
Murthy, M. S. R. .
JOURNAL OF FOREST RESEARCH, 2009, 14 (03) :127-134
[35]   Active methods of early forest fire detection [J].
Utkin, Andrei B. ;
Lavrov, Alexander ;
Vilar, Rui .
LAT 2010: INTERNATIONAL CONFERENCE ON LASERS, APPLICATIONS, AND TECHNOLOGIES, 2011, 7994
[36]   Forest Fire Burnt Area Assessment in the Biodiversity Rich Regions Using Geospatial Technology: Uttarakhand Forest Fire Event 2016 [J].
Gupta, Stutee ;
Roy, Arijit ;
Bhavsar, Dhruval ;
Kala, Rajkanti ;
Singh, Sarnam ;
Kumar, A. Senthil .
JOURNAL OF THE INDIAN SOCIETY OF REMOTE SENSING, 2018, 46 (06) :945-955
[37]   Forest Fire Burnt Area Assessment in the Biodiversity Rich Regions Using Geospatial Technology: Uttarakhand Forest Fire Event 2016 [J].
Stutee Gupta ;
Arijit Roy ;
Dhruval Bhavsar ;
Rajkanti Kala ;
Sarnam Singh ;
A. Senthil Kumar .
Journal of the Indian Society of Remote Sensing, 2018, 46 :945-955
[38]   Modelling the risk of forest to fire for the Bosomkese Forest Reserve, Ahafo Region, Ghana [J].
Dadzie, Adams Elias ;
Mary, Antwi .
SOUTH AFRICAN JOURNAL OF GEOMATICS, 2021, 10 (01) :60-74
[39]   Detection of Forest Fire Risk Areas of Zonguldak and Eregli Regional Forest Directorate [J].
Dilekci, Semra ;
Marangoz, Aycan Murat ;
Atesoglu, Ayhan .
GEOMATIK, 2021, 6 (01) :44-53
[40]   SPATIAL ANALYSIS OF FOREST REGENERATION AFTER FIRE IN THE FOREST OF FERGOUG IN MASCARA, ALGERIA [J].
Haddouche, Idriss ;
Benhanifia, Khatir ;
Gacemi, Mohammed .
BOIS ET FORETS DES TROPIQUES, 2011, (307) :23-31