作物蒸散发模型研究中的地表温度反演  

Assimilation of Land Surface Temperature in Evapotranspiration Model

作　　者：陆玲[1] 安如[1] 

机构地区：[1]河海大学水文水资源学院地理信息科学系,南京210098

出　　处：《遥感信息》2009年第5期67-72,共6页Remote Sensing Information

基　　金：973计划;课题名称:国家尺度生态系统服务功能变化及综合评估(2009cb421105)

摘　　要：针对美国加州Merced县2002年8月9日的ETM+影像,利用单窗温度反演算法反演了遥感蒸散发模型S-SEBI中的地表温度参数。选用了ETM+热红外的高增益61波段,对热红外波段反射率较低的植被覆盖研究区进行了地表温度反演,并反演地表温度所需要的几个参数:亮度温度、地表比辐射率、大气透射率。最后得出了研究区域地表温度分布结果:水体地表温度低于植被作物,建筑或道路的地表温度最高。不同地物间地温是不同的,作为蒸散发反演的重要参数,这将影响不同地物蒸散发估算。因此精确反演地表温度,将为今后蒸散发的研究打好基础。Evapotranspiration is not only an important component of hydrologic cycle,but also a dominant part of energy balance.Estimation of evapotranspiration is essential for impact evaluation of climate and humanity to nature and farmland ecosystem.It has important significances to irrigation management and water saving in agriculture.At present,the scientific community has interested in estimating evapotranspiration by remote sensing greatly.The paper focuses on estimating land surface temperature（LST） parameter of evapotranspiration model S-SEBI,using Qin＇s mono-window algorithm.The research area is Merced County,CA using ETM image on August 9,2002.LST was estimated using high gain thermal band 61 images of ETM＋ data.Some input parameters such as brightness temperature,land surface emissivity,and atmospheric transmittance were required to retrieve LST.The distribution result of LST was made and some conclusions were drawn.LST of water is lower than that of vegetation crop,and LST of vegetation crop is lower than that of building sites and roads.Varied cultures have different LST.The varied LST,a vital parameter of evaportranspiration,will effect estimation of evaportranspiration of varied cultures.Accurate estimation of LST will lay a solid foundation for evapotranspiration estimation in future study.

关 键 词：蒸散发 S-SEBI 地表温度 地表比辐射率 大气透射率 亮度温度 

分 类 号：TP751[自动化与计算机技术—检测技术与自动化装置]