518 Journal of remote sensing( Chinese)遥感学报2020,24(5 1000-30452013z01016 Qin X L. 2016. Forest Fire Monitoring Using Satellite Remote Sens- Li Z Y, Qin X L, Gao Z H, Deng G, Yin L Y, Sun G F and Zu x F ng. Beijing: China Forestry Publishing House(覃先林.2016.林 2016. Analysis on monitoring burning status of forest fire using 火卫星遥感监测.北京:中国林业出版社) GF-4 satellite images. Spacecraft Engineering, 25(S1): 201-205 Qin X L, Liu S C, LiXT, Li ZY, Gao Z H and Deng G 2018. Applica- (李增元,覃先林,高志海,邓广,尹凌宇,孙桂芬,祖笑锋.2016 tion of GF-4 satellite data in forest and grassland fire monitoring 高分四号卫星监测森林火灾燃烧状态分析.航天器工程,25 in China. Satellite Application,(12):34-37(覃先林,刘树超,李 (S1:201-205) 晓彤,李增元,高志海,邓广.2018.高分四号卫星在中国森林草 Li Z Y, Qin X L, Gao Z H, Deng G and Chen E X. 2018. Research on 原火情监测中的应用.卫星应用,(12).3437) forestry application with high resolution remote sensing. Satellite Qin X L, Pang Y and Deng G. 2012. Remote Sensing Monitoring Tech Application,(11:61-65(李增元,覃先林,高志海,邓广,陈尔 nology and Practice for Forest Resources and Forest Fires in 学.高分遥感林业应用研究.卫星应用,2018,11:61-65) Southeast Asia. Beijing: China Forestry Publishing House(RgE uC. Li YJ. Zhao C H. Yan H and Zhao H M. 2004. The method of 林,庞勇,邓广,2012.东南亚地区森林资源和林火遥感监测技 evaluating sub-pixel size and temperature of fire spot in AVhRR 术与实践.北京:中国林业出版社) data. Journal of Applied Meteorological Science, 15(3): 273-280 Qin X L and Yi H R. 2004. A method to identify forest fire based (刘诚,李亚军,赵长海,阎华,赵洪淼.2004.气象卫星亚像元火 modis data. Fire Safety Science,13(2):83-89(覃先林,易浩 点面积和亮温估算方法.应用气象学报,15(3)273-280)[DO 若.2004.基于MODS数据的林火识别方法研究.火灾科学, 9690issn.1001-7313.2004.03.003 13(2):83-89)[DO:10.3969sn.1004-5309.2004.02.005 Chen X Z, Qin X L, Sun G F and Li X T 2018. Remote sens- Qin X L, Ying L Y, Sun G F and Zu x F 2016. Method for burned for- ing assessment of forest fire damage degree in Bilahe forest farm, est biomass estimation at subcompartment level using GF-I ima Inner Mongolia. Forest Resources Management, (1): 90-95, 140 es and GIs datasets. Journal of Geography and Natural Disasters, (刘树超,陈小中,覃先林,孙桂芬,李晓彤.2018.内蒙古毕拉河 6(3):1000181[DO:10.4172/2167-0587.1000181 林场森林火灾受害程度遥感评价.林业资源管理,(1):90-95, Qin X L, Zhang Z H,LizY, Tian Z w, Xiong C. Yang D F and 140)[DO:10.13466/ cnki. lyzygl.2018.01013 Zhang R. 2010a. Method of forecasting and implementation of ong T F, Zhang Z M, He G J, Jiao W L, Tang C, wu B F, Zhang X forest fire early warning. Journal of Beijing Forestry University, M, Wang G Z and Yin R Y, 2019, 30 m resolution global annual 32(4)17-21(覃先林,张子辉,李增元,田祖为,熊有强,杨德付 burned area mapping based on Landsat images and Google Earth 张瑞.2010a林火预警及实现方法,北京林业大学学报,32(4 Engine Remote Sensing, 11(5): 489[DO1: 10.3390/rs1 1050489 17-21) Miao Q L, Tian X R and Zhao F J 2015, NDVI recovery process for Qin XL, Zhang Z H and Li Y 2010b. An automatic forest fires iden- post-fire vegetation in Daxing anling. Scientia Silvae Sinicae, 51 tification method using HJ-1B IRS data Remote Sensing Technol- (2)90-98(苗庆林,田晓瑞,赵凤君.2015.大兴安岭不同植被 ogy and Application.25(5):700-706(覃先林,张子辉,李增元 火后NDⅥ恢复过程.林业科学,51(2:90-98)[DO:10.1707 2010b.一种利用H-1B红外相机数据自动识别林火的方法.遥 .1001-748820150211 感技术与应用,25(5):700-706)[DOl:10.11873isn.1004 Miller J D and Thode A E. 2007, Quantifying bum severity in a hetero- 0323.2010.5.700 Qin X L, Zhang Z H, Li Burn Ratio(dNBR). Remote Sensing of Environment, 109(1): 66- identification methodology using AATSR data. Remote Sensing 80[DO:10.10160re.2006.12.006 Technology and Application,22(4479-484(覃先林,张子辉,李 Ononye A E, vodacek A and Saber E. 2007. Automated extraction of 增元,易浩若.2007.基于 AATSR数据的东北林火识别方法研 fire line parameters from multispectral infrared images. Remote 究,遥感技术与应用,224):479-484)[DO:10.3969jsn.1004 Sensing of Environment, 108(2): 179-188. DOI: 10. 1016/].rse 0323.2007.04.001 Qin XL, Zhu X, Yang F, Zhao K R, Pang Y,LiZY, Li XZ and Zhang Peng g X. Chen Y H. Li J and Patah N A. 2007. Combination of re- JX. 2013. Analysis of sensitive spectral bands for burning status mote sensing and meteorological data for fire risk monitoring-a detection using hyper-spectral images of Tiangong-01. Spectros ase study in Peninsular Malaysia. Geo-Information Science, 9 copy and Spectral Analysis,3x7:1908-1911(覃先林,朱曦,杨 (5):99-104(彭光雄,陈云浩,李京, Patah na.2007.结合遥感 飞,赵凯瑞,庞勇,李增元,李绪志,张九星.2013.天宫一号高光 和气象数据的森林火险监测研究——以马来西亚半岛为例.地 谱数据探测火情状态敏感谱段分析.光谱学与光谱分析,33 信息科学,9(5)99-104)[DO:10.3969issn.1560-8992007 (7)1908-1911)[DOI:10.3964j.sn.1000-0593(2013)07 05.017 1908-0 Qin X L. 2005. Study on Forest Fire Early Warning and Monitoring Qin X L, Yang F, Zu X F, Zhang Z H and Li Z Y 2014. Quantitative Methodology Using Remote Sensing and Geography Information extraction of fine contour parameters for forest fire using satellite (覃先 林.2005.遥感与地理信息系统技术相结合的林火预警方法的 648(覃先林杨飞,祖笑锋张子辉李增元.2014.火线轮廓参数 研究.北京:中国林业科学研究院) 卫星遥感定量提取方法红外与毫米波学报,33(6):64248)Journal of Remote Sensing（Chinese） 遥感学报 2020, 24（5） 1000-3045.2013.Z01.016] Li Z Y, Qin X L, Gao Z H, Deng G, Yin L Y, Sun G F and Zu X F. 2016. Analysis on monitoring burning status of forest fire using GF-4 satellite images. Spacecraft Engineering, 25(S1): 201-205 （李增元, 覃先林, 高志海, 邓广, 尹凌宇, 孙桂芬, 祖笑锋. 2016. 高分四号卫星监测森林火灾燃烧状态分析 . 航天器工程, 25 (S1): 201-205） Li Z Y, Qin X L, Gao Z H, Deng G and Chen E X. 2018. Research on forestry application with high resolution remote sensing. Satellite Application, (11):61-65（李增元，覃先林，高志海，邓广，陈尔 学. 高分遥感林业应用研究. 卫星应用，2018，11：61-65） Liu C, Li Y J, Zhao C H, Yan H and Zhao H M. 2004. The method of evaluating sub-pixel size and temperature of fire spot in AVHRR data. Journal of Applied Meteorological Science, 15(3): 273-280 （刘诚, 李亚军, 赵长海, 阎华, 赵洪淼. 2004. 气象卫星亚像元火 点面积和亮温估算方法 . 应用气象学报, 15(3): 273-280）[DOI: 10.3969/j.issn.1001-7313.2004.03.003] Liu S C, Chen X Z, Qin X L, Sun G F and Li X T. 2018. Remote sens‐ ing assessment of forest fire damage degree in Bilahe forest farm, Inner Mongolia. Forest Resources Management, (1): 90-95, 140 (刘树超, 陈小中, 覃先林, 孙桂芬, 李晓彤. 2018. 内蒙古毕拉河 林场森林火灾受害程度遥感评价 . 林业资源管理, (1): 90-95, 140）[DOI: 10.13466/j.cnki.lyzygl.2018.01.013] Long T F, Zhang Z M , He G J, Jiao W L, Tang C , Wu B F, Zhang X M, Wang G Z and Yin R Y. 2019. 30 m resolution global annual burned area mapping based on Landsat images and Google Earth Engine. Remote Sensing, 11(5): 489 [DOI: 10.3390/rs11050489] Miao Q L, Tian X R and Zhao F J. 2015. NDVI recovery process for post-fire vegetation in Daxing’anling. Scientia Silvae Sinicae, 51 (2): 90-98（苗庆林, 田晓瑞, 赵凤君 . 2015. 大兴安岭不同植被 火后 NDVI恢复过程 . 林业科学, 51(2): 90-98）[DOI: 10.11707/ j.1001-7488.20150211] Miller J D and Thode A E. 2007. Quantifying burn severity in a hetero‐ geneous landscape with a relative version of the delta Normalized Burn Ratio (dNBR). Remote Sensing of Environment, 109(1): 66- 80 [DOI: 10.1016/j.rse.2006.12.006] Ononye A E, Vodacek A and Saber E. 2007. Automated extraction of fire line parameters from multispectral infrared images. Remote Sensing of Environment, 108(2): 179-188. [DOI: 10.1016/j. rse. 2006.09.029] Peng G X, Chen Y H, Li J and Patah N A. 2007. Combination of re‐ mote sensing and meteorological data for fire risk monitoring—a case study in Peninsular Malaysia. Geo-Information Science, 9 (5): 99-104（彭光雄, 陈云浩, 李京, Patah N A. 2007. 结合遥感 和气象数据的森林火险监测研究——以马来西亚半岛为例. 地 球信息科学, 9(5): 99-104）[DOI: 10.3969/j.issn.1560-8999.2007. 05.017] Qin X L. 2005. Study on Forest Fire Early Warning and Monitoring Methodology Using Remote Sensing and Geography Information System Techniques. Beijing: Chinese Academy of Forestry (覃先 林 . 2005. 遥感与地理信息系统技术相结合的林火预警方法的 研究. 北京: 中国林业科学研究院) Qin X L. 2016. Forest Fire Monitoring Using Satellite Remote Sens‐ ing. Beijing: China Forestry Publishing House (覃先林 . 2016. 林 火卫星遥感监测. 北京: 中国林业出版社) Qin X L, Liu S C, Li X T, Li Z Y, Gao Z H and Deng G. 2018. Applica‐ tion of GF-4 satellite data in forest and grassland fire monitoring in China. Satellite Application, (12): 34-37（覃先林, 刘树超, 李 晓彤, 李增元, 高志海, 邓广. 2018. 高分四号卫星在中国森林草 原火情监测中的应用. 卫星应用, (12): 34-37） Qin X L, Pang Y and Deng G. 2012. Remote Sensing Monitoring Tech‐ nology and Practice for Forest Resources and Forest Fires in Southeast Asia. Beijing: China Forestry Publishing House (覃先 林, 庞勇, 邓广 . 2012. 东南亚地区森林资源和林火遥感监测技 术与实践. 北京: 中国林业出版社) Qin X L and Yi H R. 2004. A method to identify forest fire based on MODIS data. Fire Safety Science, 13(2): 83-89（覃先林, 易浩 若 . 2004. 基于 MODIS 数据的林火识别方法研究 . 火灾科学, 13(2): 83-89）[DOI: 10.3969/j.issn.1004-5309.2004.02.005] Qin X L, Ying L Y, Sun G F and Zu X F. 2016. Method for burned for‐ est biomass estimation at subcompartment level using GF-1 imag‐ es and GIS datasets. Journal of Geography and Natural Disasters, 6(3): 1000181 [DOI: 10.4172/2167-0587.1000181] Qin X L, Zhang Z H, Li Z Y, Tian Z W, Xiong Y Q, Yang D F and Zhang R. 2010a. Method of forecasting and implementation of forest fire early warning. Journal of Beijing Forestry University, 32(4) 17-21（覃先林, 张子辉, 李增元, 田祖为, 熊有强, 杨德付, 张瑞 . 2010a. 林火预警及实现方法 . 北京林业大学学报, 32(4): 17-21） Qin X L, Zhang Z H and Li Z Y. 2010b. An automatic forest fires iden‐ tification method using HJ-1B IRS data. Remote Sensing Technol‐ ogy and Application, 25(5): 700-706（覃先林, 张子辉, 李增元 . 2010b. 一种利用HJ-1B红外相机数据自动识别林火的方法. 遥 感 技 术 与 应 用 , 25(5): 700-706）[DOI: 10.11873/j. issn. 1004- 0323.2010.5.700] Qin X L, Zhang Z H, Li Z Y and Yi H R. 2007. Northeast forest fires identification methodology using AATSR data. Remote Sensing Technology and Application, 22(4): 479-484（覃先林, 张子辉, 李 增元, 易浩若 . 2007. 基于 AATSR 数据的东北林火识别方法研 究. 遥感技术与应用, 22(4): 479-484）[DOI: 10.3969/j.issn.1004- 0323.2007.04.001] Qin X L, Zhu X, Yang F, Zhao K R, Pang Y, Li Z Y, Li X Z and Zhang J X. 2013. Analysis of sensitive spectral bands for burning status detection using hyper-spectral images of Tiangong-01. Spectros‐ copy and Spectral Analysis, 33(7): 1908-1911（覃先林, 朱曦, 杨 飞, 赵凯瑞, 庞勇, 李增元, 李绪志, 张九星. 2013. 天宫一号高光 谱数据探测火情状态敏感谱段分析 . 光谱学与光谱分析, 33 (7): 1908-1911） [DOI: 10.3964/j. issn. 1000-0593(2013)07- 1908-04] Qin X L, Yang F, Zu X F, Zhang Z H and Li Z Y. 2014. Quantitative extraction of fine contour parameters for forest fire using satellite remote sensing. Journal of Infrared Millimeter Waves, 33(6): 642- 648（覃先林,杨飞, 祖笑锋,张子辉,李增元. 2014. 火线轮廓参数 卫星遥感定量提取方法 . 红外与毫米波学报, 33(6): 642-648） 518