中国农业气象

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寒冷灾害监测中的全天候地表温度反演方法研究

王春林;唐力生;陈水森;黄珍珠;何健;   

  1. 广东省气象局气候中心,广东省气象局气候中心,广州地理研究所,广东省气象局气候中心,广东省气象局气候中心 广州510080,广州510080,广州510080,广州510080
  • 出版日期:2007-02-10 发布日期:2007-02-10
  • 基金资助:
    广东省科技计划项目“地表温度的热红外遥感关键技术及寒冷灾害监测示范”(2004B20701002)

All-weather Applicable Methodology to Retrieve Land Surface Temperature for Cold Disaster Monitoring

WANG Chun-lin1, TANG Li-sheng1, CHEN Shui-sen1, HUANG Zhen-zhu1, HE Jian1(1.Climate Center of Guangdong Meteorological Bureau, Guangzhou 510080, China; 2.Guanghzou Geographical Institute)   

  • Online:2007-02-10 Published:2007-02-10

摘要: 提出综合运用MODIS遥感资料与地面气象站资料实现全天候LST反演的技术方法,并通过应用示范验证其可行性,对实现全天候、精细化的寒冷灾害监测与评估具有重要意义。基于MODIS的第1、2、19、31和32五个波段,采用劈窗算法反演LST,计算过程相对简便而反演精度较高,缺点是无法克服云干扰;基于地面气象站实测温度资料,采用气候学方程与GIS技术反演空间精细化的LST分布,尽管其反演精度在晴空条件下比遥感方法差,但不受云量条件限制,可以实现全天候LST反演。

关键词: 键词:全天候, 陆面温度, MODIS, 寒冷灾害

Abstract: Acquisition of all-weather land surface temperature (LST) with high spatial resolution provided a precondition and ground work to monitor and evaluate cold disaster continuously. Thermal infrared remote sensing data of poly-orbit satellites, like MODIS, could be used to retrieve land surface temperature. Frame work to retrieve all-weather LST was put forward, applying climatology equations and GIS technique based on both remote sensing data of MODIS and ground observation data. Given clear condition, LST was retrieved with relatively high accuracy by band 1,2,19,31 and 32 of MODIS, otherwise, during unfavorable condition such as cloudy, high spatial resolution LST was derived by GIS technique combining with climate equations based on ground temperature observation. Methodology and operational flow of all-weather LST retrieving was introduced in the paper, with emphasis on parameters estimation. Comparison and accuracy analysis of LST retrieved through different ways showed feasibility of the methodology presented in the paper.

Key words: All-weather, All-weather, Land surface temperature, MODIS, Cold disaster