Evaluation of forest flammability based on inversion data of vegetation canopy water content

doi:10.13474/j.cnki.11-2246.2023.0111

Abstract

Abstract: Frequently occurring forest fires in Liangshan county spread rapidly and are difficult to be put out. This paper proposes a method to identify forest combustion and flammablility levels by using traditional remote sensing means, relevant data of remote sensing satellite, UAV, and several selected factors such as terrain, surface temperature, vegetation, and water content. The concept of ecological water (layer) is adopted into our study of the target area to generate a spatial significance distribution on forest combustion and flammability, which can further establish an evaluation system to control and prevent forest fires.

Key words: forest fires, vegetation ecological water, UAV remote sensing, inflammable degree of vegetation

CLC Number:

P237

CHEN Zongjie, YANG Wunian, ZHANG Wanlin, LIU Mingxin, DONG Xiujun, HE Xianding. Evaluation of forest flammability based on inversion data of vegetation canopy water content[J]. Bulletin of Surveying and Mapping, 2023, 0(4): 99-105.

References

[1] 舒立福,田晓瑞,李红. 世界森林火灾状况综述[J]. 世界林业研究,1998,11(6):41-47.
[2] 白夜,王博,武英达,等. 凉山州森林火灾形成的火环境研究[J]. 林业资源管理,2020(5):116-122.
[3] 张景群,窦彬生,叶宏谋. 八种林分类型易燃可燃物分布研究[J]. 陕西林业科技,1996(1):50-51.
[4] 高国平,周志权,王忠友. 森林可燃物研究综述[J]. 辽宁林业科技,1998(4):34-37.
[5] SATURDAY B. Bushfires in Australia[J]. European Journal of Surgical Oncology,1978,22(4):354-358.
[6] RICE R C. Diurnal and seasonal soil water uptake and flux within a bermudagrass root zone[J]. Soil Science Society of America Journal,1975,39(3):394-398.
[7] WHITMORE T C,CHANDLER C,CHENEY P,et al. Fire in forestry[J]. The Journal of Ecology,1984,72(3):1081.
[8] 杨武年,简季,李玉霞,等. 陆表生态水(层)遥感定量反演理论及方法[C]//资源环境与地学空间信息技术新进展学术会议论文集. 成都:[s.n.],2016:218-220.
[9] 简季. 生态水遥感定量研究:以岷江上游典型地区为例[D]. 成都:成都理工大学,2006.
[10] 李玉霞. 岷江上游毛儿盖地区生态水信息指标参数遥感量化研究[D]. 成都:成都理工大学,2007.
[11] 潘佩芬,杨武年,简季,等. 基于光谱指数的植被含水率遥感反演模型研究:以岷江上游毛尔盖地区为例[J]. 遥感信息,2013,28(3):69-73.
[12] 全兴文. 植被冠层反射率模型弱敏感参数遥感反演方法[D]. 成都:电子科技大学,2017.
[13] 万新南,杨武年,吴炳方,等. "生态水层与生态水"概念及研究意义[J]. 地球科学进展,2004,19(S1):117-121.
[14] 杨俊义,万新南,张慧利. 九寨沟地区生态水研究[J]. 物探化探计算技术,2006,28(3):242-245.
[15] GEVREY M,DIMOPOULOS I,LEK S. Review and comparison of methods to study the contribution of variables in artificial neural network models[J]. Ecological Modelling,2003,160(3):249-264.
[16] 徐涵秋. 新型Landsat8卫星影像的反射率和地表温度反演[J]. 地球物理学报,2015,58(3):741-747.
[17] KALABOKIDIS K,ATHANASIS N,GAGLIARDI F,et al. Virtual fire:a web-based GIS platform for forest fire control[J]. Ecological Informatics,2013,16:62-69.
[18] GROISMAN P Y,SHERSTYUKOV B G,RAZUVAEV V N,et al. Potential forest fire danger over Northern Eurasia:changes during the 20th century[J]. Global and Planetary Change,2007,56(3/4):371-386.
[19] 杨光,舒立福,邸雪颖,等. 森林火灾损失评估方法体系研究综述[J]. 安徽农业科学,2014,42(31):10961-10964.
[20] 黄耀林. 南方森林火灾发生原因与预防对策探讨[J]. 技术与市场,2016,23(1):157-158.
[21] 景丽杰. 气候变暖背景下黑龙江省森林火灾防控策略[J]. 现代农业科技,2011(14):255.
[22] 王春芳,郭风平. 当代森林火灾防控对策研究[J]. 中国安全生产科学技术,2011,7(7):168-173.
[23] LEBLON B,KASISCHKE E,ALEXANDER M,et al. Fire danger monitoring using ERS-1 SAR images in the case of northern boreal forests[J]. Natural Hazards,2002,27(3):231-255.
[24] SHULYAK P P,ERSHOV D V,KOROVIN G N. Control over dynamics of large forest fires and assessment of efficiency and timeliness of their detection and suppression[J]. Contemporary Problems of Ecology,2014,7(7):797-807.