2020年 03期

Fire Information Detection of the Bilahe Forest Based on Moderate Resolution Imaging Spectroradiometer Data


摘要(Abstract):

利用中分辨率成像光谱仪(MODIS)时间序列数据进行森林火情监测的原理及通道特性进行分析,利用阈值算法提取火点信息作为鲁棒卫星技术(RST)算法阈值确定前提,结合2种算法对内蒙古大兴安岭毕拉河林场火灾进行火点信息的提取,提高火点信息算法精度;然后,基于确认的火点信息,结合局部变化检测指数(ALICE)和全球环境监测指数(GEMI)提取过火迹地信息。结果表明:结合2种算法确定新的阈值可以有效地提取森林火点信息,检测精度由高到低的顺序为基于连续日期均值算法和基于空间域均值算法、基于每月同期均值算法,基于连续日均值的RST算法更加适合林火信息检测;结合ALICE和GEMI提取过火迹地信息的方法可以检测出绝大部分过火迹地像元,检测精度较高。

关键词(KeyWords): 中分辨率成像光谱仪;林火监测;火点判识;鲁棒卫星技术;全球环境监测指数

基金项目(Foundation): 国家自然科学基金项目(41571350)

作者(Author): 丁海勇,吴月

DOI: 10.13349/j.cnki.jdxbn.2020.03.006

参考文献(References):

[1] 李鑫,段菁.内蒙古森林防火视频监控体系建设技术研究:以呼和浩特市为例[J].内蒙古林业调查设计,2016,39(3):88-91.

[2] 王恩利.我国的林业灾害现状与防治[J].北京农业,2013(27):48.

[3] 李洪双,周政,安鸿东.浅析森林火灾的卫星化监测技术[J].黑龙江科技信息,2010(7):33.

[4] 梁芸.利用EOS/MODIS资料监测森林火情[J].遥感技术与应用,2002,17(6):310-312.

[5] KAUFMAN Y J,JUSTICE C O,FLYNN L,et al.Monitoringglobal fires from EOS-MODIS[J].Journal of Geophysical Research,1998,102(29):611-624.

[6] GIGLIO L,SCHROEDER W,JUSTICE C O.The collection 6 MODIS active fire detection algorithm and fire products[J].Remote Sensing of Environment,2016,178:31-41.

[7] GIGLIO L,DESCLOITRES J,JUSTICE C O,et al.An enhanced contextual fire detection algorithm for MODIS[J].Remote Sensing of Environment,2003,87(2):273-282.

[8] FRASER R,FEMANDES R,LATIFOVIE R.Multitemporal mapping of burned forest over Canada using satellite based change metrics[J].Geocarto International,2003,18(2):37-47.

[9] 周小成,汪小钦,高中灵.基于知识的多时相TM图像森林火烧迹地快速提取方法[J].灾害学,2005,20(2):22-26.

[10] BASTARRIKA A,CHUVIECO E,MARTIN M P.Mapping burned areas from Landsat TM/ETM+data with a tow-phase algorithm:balancing omission and commission errors[J].Remote Sensing of Environment,2011,115(4):1003-1012.

[11] 杨伟,张树文,姜晓丽.基于MODIS时序数据的黑龙江流域火烧迹地提取[J].生态学报,2015,35(17):5866-5873.

[12] PETROPOULOS C P,VADREVU K P,XANTHOPOULOS G.A comparison of spectral angle mapper and artificial neural network classifiers combined with Landsat TM imagery analysis for obtaining burn area mapping[J].Sensors,2010,10(3):1967-1985.

[13] 祖笑锋,覃先林,尹凌宇,等.基于高分一号影像光谱指数识别火烧迹地的决策树方法[J].林业资源管理,2015,8(4):73-83.

[14] LI Z,NADON S,CIHLAR J.Satellite-based detection of Canadian bored forest fires:development and application of the algorithm[J].International Journal of Remote Sensing,2000,21(16):3057-3069.

[15] KUCERA J,YASUOKAY,DYE D G.Creating a forest fire database for the Far East of Asia using NOAA/AVHRR observation[J].International Journal of Remote Sensing,2005,26(11):2423-2439.

[16] 郑伟,李亚君,刘诚,等.基于多源卫星遥感数据的森林过火面积估算方法[J].林业科学,2011,47(8):192-195.

[17] 王一博,宋冬梅.MODIS地震热异常的数据处理与算法研究[D].青岛:中国石油大学(华东),2014.

[18] FRANCESCO M,MAURIZIO C,CAROLINA F,et al.On the exportability of robust satellite techniques (RST) for active volcano monitoring[J].Remote Sensing,2010,2:1575-1588.

[19] 何阳,杨进,马勇,等.基于Landsat-8陆地卫星数据的火点检测方法[J].红外与毫米波学报,2016,35(5):600-608,624.

[20] 刘玉洁,杨忠东.MODIS遥感信息处理原理与算法[M].北京:科学出版社,2001.

[21] FANG L,YANG J.Atmospheric effects on the performance and threshold extrapolation of multi-temporal Landsat derived dNBR for burn severity assessment[J].International Journal of Applied Earth Observation and Geoinformation,2014,33:10-20.

[22] 李玉红,郝玉洁.广西林火监测业务系统的设计与实现[D].成都:电子科技大学,2012.

[23] ALIANO C,CORRADO R,FILIZZOLA C,et al.Robust TIR satellite techniques for monitoring earthquake active regions:limits,main achievements and perspectives[J].Annals of Geophysics,2008,51(1):303-317.

[24] 杨珊荣,李虎,余涛,等.基于MODIS的秸秆焚烧火点识别原理及算法IDL实现[J].遥感信息,2009(2):91-97.