中国农业气象 ›› 2013, Vol. 34 ›› Issue (03): 366-373.doi: 10.3969/j.issn.1000-6362.2013.03.018

• 论文 • 上一篇    下一篇

福建沿海海雾的卫星遥感监测

张春桂1,何金德2,马治国   

  1. 1福建省气象科学研究所,福州350001;2福建省莆田市荔城区气象局,莆田351100)
  • 收稿日期:2012-10-25 出版日期:2013-06-20 发布日期:2013-06-17
  • 作者简介:张春桂(1966-),福建人,正研级高工,主要从事卫星遥感应用研究。Email:fjygwork@163.com
  • 基金资助:
    中国气象局气象新技术推广项目“台湾海峡及其周边海域海雾监测预警技术推广”(CMATG2010M17);福建省自然科学基金项目“基于新型卫星数据的福建地表太阳总辐射遥感反演模型研究”(2011J01264);福建省科技计划重点项目“福建海洋水质遥感监测与气象预警技术研究”(2011Y0009)

Remote Sensing Monitor of Sea Fog in Fujian Coastal Region

ZHANG Chun gui1,HE Jin de2,MA Zhi guo1   

  1. 1Fujian Province Meteorological Institute,Fuzhou 350001,China;2Licheng Meteorological Bureau,Putian 351100
  • Received:2012-10-25 Online:2013-06-20 Published:2013-06-17

摘要: 基于2000-2010年福建沿海18个气象站的能见度资料,利用NOAA/AVHRR、FY-1D/CAVHRR和EOS/MODIS传感器的可见光、近红外、短波红外、中红外和热红外多光谱波段数据,分析福建沿海海雾的时空变化特征,探讨福建沿海海雾卫星遥感监测技术方法,并通过卫星数据样本分析海洋、中高云、低云和海雾等不同下垫面的光谱反射和辐射特征。同时分析了多种海雾遥感识别指数,根据海雾与其它地物光谱反射和辐射特征的差异确定监测模型的阈值指标,在此基础上分别建立了白天EOS、FY-1D、NOAA-17、NOAA-16/18海雾监测模型和夜间海雾监测模型。结果表明,研究区90%的海雾发生在1-5月,且大多在凌晨,中南部是海雾多发区。用沿海气象观测站的能见度数据对监测结果进行验证,其准确率总体达83%,表明基于多源卫星数据的海雾遥感监测模型能较准确地对福建沿海海雾的分布和发展过程进行监测,有利于在大雾天气过后及时采取相关应对措施,以减少大雾天气对福建沿海农业生产活动,尤其是对设施农业的不利影响。

关键词: 遥感, 海雾, 福建沿海, 多源卫星数据

Abstract: The temporal and spacial variation characteristic,and the remote sensing monitor method of sea fog in Fujian coastal region were studied based on visibility of 2000-2010 of eighteen meteorological stations, and the visible,near infrared,short infrared,middle infrared,far infrared band data of NOAA/AVHRR,FY-1D/CAVHRR,EOS/MODIS satellite sensors, moreover,the spectrum reflection and radiation characteristics of different earth surface,such as ocean,middle high level cloud,low level cloud,sea fog, were analyzed by using a lot of satellite remote sensing images .The various remote sensing monitor index were analyzed and the threshold of index were established based on notable spectrum reflection and radiation characteristics difference between the sea fog and other earth surface, finally, the sea fog monitor model of EOS, FY-1D, NOAA-17, NOAA-16/18 satellite in Fujian coastal region were established.The results showed that 90% sea fog of Fujian coastal region occurred in Jan. to May and more occurred in wee hours and the middle south of Fujian coastal region was main fountain area of sea fog. The sea fog monitor results were verified by using the visibility data of meteorological observing stations in Fujian coastal region and the veracity of sea fog monitor model was 83% in the mass, this proved that the sea fog remote sensing monitor model based on various satellite sensors can reasonably describe the distribution status of sea fog, and can dynamically monitor the distribution and developing process of sea fog, and so sea fog remote sensing monitor reduced loss to agriculture production, controlled environment agriculture especially, in Fujian coastal region when correlative measure were adopted after heavy fog occurred.

Key words: Remote sensing, Sea fog, Fujian coastal region, Various satellite data