如何确定合适的阈值来区分夜间辐射雾、晴空地表和中高云一直是雾检测研究的重点。圣巴巴拉DISORT 大气辐射传输模型（Santa Barbara DISORT atmospheric radiative transfer，SBDART）可模拟雾顶亮度温度。基于该模型获取MODIS B20与B31波段的亮温差（brightness temperature difference，BTD），将其用于夜间辐射雾检测。以MODIS卫星数据为可行性试验数据，用国家卫星气象中心提供的地面验证数据进行验证，结果表明，使用该模型监测夜间雾的准确率达78.3%，误判率为21.7%，可靠性指标为0.643，Kappa系数为0.730。为进一步验证方法的稳定性，选取8景卫星序列图像进行时间序列分析，结果显示Kappa系数均值为0.744，说明应用当前阈值方法对MODIS夜间雾检测具有可适用性。该方法为夜间雾预报和夜间雾参数反演提供了有效的参考。
How to obtain suitable threshold to distinguish radiation fog,clear sky surface and clouds is the focus of the study of fog detection. The Santa Barbara DISORT atmospheric radiative transfer(SBDART)model can simulate the fog top brightness temperature. In this paper,the authors obtained the brightness temperature difference(BTD)between MODIS B20 and MODIS B31 bands based on the model and applied it to the detection of radiation fog at night. The data used for feasibility test were from EOS MODIS satellite in the North China Plain on November 25, 2007,and ground validation data were from the National Satellite Meteorological Center. The varification results show that the accuracy of using the model to monitor the night time radiation fog (POD)is 78.3%,the false alarm rate (FAR)is 21.7%, the reliability index(CSI)is 0.643,and the Kappa factor is 0.730. To further validate the stability of the method,the authors selected the sequence of eight satellite images in northern China for the time series analysis. The results show that the mean value of reliability index is 0.744,suggesting that the proposed method can serve as the foundation of night time fog forecasting and parameter inversion.
张伟康, 马慧云, 邹峥嵘, 何卓臣, 赵国庆. 基于SBDART辐射传输模型的夜间辐射雾自动检测及时间序列分析[J]. 国土资源遥感, 2014, 26(2): 80-86.
ZHANG Weikang, MA Huiyun, ZOU Zhengrong, HE Zhuochen, ZHAO Guoqing. Automatic detection of night time radiation fog based on SBDART radiative transfer model and the analysis of time series. REMOTE SENSING FOR LAND & RESOURCES, 2014, 26(2): 80-86.
[1] Eyre J R,Brownscombe J L,Allam R J.Detection of fog at night using advanced very high resolution radiometer(AVHRR)imagery[J].Meteorological Magazine,1984,113(1346):266-271.[2] Ellrod G P.Advances in the detection and analysis of fog at night using GOES multispectral infrared imagery[J].Weather and Forecasting,1995,10(3):606-619.[3] 张顺谦,杨秀蓉.基于神经网络和分形纹理的夜间浓雾遥感监测技术[J].应用气象学报,2005,16(6):804-810. Zhang S Q,Yang X R.Remote sensing monitoring technology of thick fog at night based on neural networks and fractal grain [J]. Journal of Applied Meteorological Science,2005,16(6): 804-810.[4] 马慧云,李德仁,刘良明,等.基于AVHRR,MODIS和MVRIS数据的辐射雾变化检测与分析[J].武汉大学学报:信息科学版,2007,32(4):297-300. Ma H Y,Li D R,Liu L M,et al.Fog dynamic change detection based on AVHRR,MODIS and MVIRS data[J].Geomatics and Information Science of Wuhan University,2007,32(4):297-300.[5] 张春桂,蔡义勇,张加春.MODIS遥感数据在我国台湾海峡海雾监测中的应用[J].应用气象学报,2009,20(1):8-16. Zhang C G,Cai Y Y,Zhang J C.The application of monitoring sea fog in Taiwan Strait using MODIS remote sensing data[J].Journal of Applied Meteorological Science,2009,20(1):8-16.[6] Ricchiazzi P,Yang S R,Cautier C,et al.SBDART:A research and teaching software tool for plane-parallel radiative transfer in the Earth's atmosphere[J].Bulletin of the American Meteorological Society,1998,79(10):2101-2144.[7] 吴晓京,陈云浩,李三妹.应用MODIS数据对新疆北部大雾地面能见度和微物理参数的反演[J].遥感学报,2005,9(6):688-696. Wu X J,Chen Y H,Li S M.Utilizing MODIS data to retrieve the visibility and microphysical properties of fog happens in the northwest China[J].Journal of Remote Sensing,2005,9(6):688-696.[8] 周旋,周晓中,吴耀平,等.利用MODIS数据监测夜间雾[J].武汉大学学报:信息科学版,2008,33(6):581-583. Zhou X,Zhou X Z,Wu Y P,et al.Detection of nighttime fog using MODIS data[J].Geomatics and Information Science of Wuhan University,2008,33(6):581-583.[9] Chaurasia S,Sathiyamoorthy V,Bipasha P S.Night time fog detection using MODIS data over northern India[J].Meteorological Applications,2011,18(4):483-494.[10] 马慧云,李德仁,刘良明,等.基于MODIS卫星数据的平流雾检测研究[J].武汉大学学报:信息科学版,2005,30(2):143-146. Ma H Y,Li D R,Liu L M,et al.Fog detection based on EOS MODIS data[J].Geomatics and Information Science of Wuhan University,2005,30(2):143-146.[11] Cermak J,Bendix J.Dynamical nighttime fog/low stratus detection based on Meteosat SEVIRI data:A feasibility study[J].Pure and Applied Geophysics,2007,164(7-8):1179-1192.[12] 王丽萍,陈少勇,董安祥.中国雾区的分布及其季节变化[J].地理学报,2005,60(4):689-697. Wang L P,Chen S Y,Dong A X.The distribution and seasonal variations of fog in China[J].Acta Geographica Sinica,2005,60(4):689-697.[13] 李子华,杨军,石春娥,等.地区性浓雾物理[M].李子华,译.北京:气象出版社,2008:66-69. Li Z H,Yang J,Shi C E,et al.The physics of regional dense fog[M].Translated by Li Z H.Beijing:China Meteorological Press,2008:66-69.[14] 周梅,银燕,王巍巍.2006年12月24—27日大范围大雾过程数值模拟[J].应用气象学报,2008,19(5):602-610. Zhou M,Yin Y,Wang W W.A numerical study on the long-lasting wide spread dense fog event during December 24—27[J].Journal of Applied Meteorological Science,2008,19(5):602-610.[15] 李亚春,孙涵,徐萌.卫星遥感在大雾生消动态监测中的应用[J].灾害学,2001,16(1):45-49. Li Y C,Sun H,Xu M.A study on the application of remote sensing technique to monitoring of the tendency of fog dissipation[J].Journal of Catastrophology,2001,16(1):45-49.
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