机构地区: 中国水产科学研究院南海水产研究所
出 处: 《国土资源遥感》 2009年第3期24-29,共6页
摘 要: 基于Landsat TM6数据,采用覃志豪单窗算法(MW)、Jiménez-Muoz单通道算法(SC)和Weng算法计算了大亚湾海域的海表温度(Sea Surface Temperature,SST),分析比较了3种算法反演的海温空间分布特征,并选取12个样本点与实测数据进行了比较。结果表明:3种算法反演的海温分布特征基本一致,在3幅海温图像上可以清晰地观察到大亚湾核电站的热废水扩散特征;反演温度与实测温度的差值平均值分别为-2.21℃、0.19℃和-4.68℃,以SC算法误差最小。 Sea Surface Temperature (SST) has an important application value in the field of fishery environment and is also a key environmental element in scientific survey. In this paper, the thermal infrared band of Landsat - 5 TM was used to retrieve SST with three different methods, i. e. , QIN et al. ' s mono - window algorithm, Jimenez - Munnoz single - channel method and Weng' s algorithm. The first two are simplified models that only consider the atmospheric parameter of water vapor content, QIN et al. ' s model contains the atmospheric temperature of the average value as well, but Weng' s algorithm has no elimination of atmospheric parameter. The retrieved data were mapped to analyze the distribution of SST in the Daya bay, and the results are compared with data from 12 sampling points. The results show that distribution characteristics of SST obtained from the three methods are similar to each other, and the diffusion of warm water from the Daya and the Lingao nuclear power stations can be observed clearly. The three methods show an error of - 2.21℃, 0. 19% and - 4.68℃ respectively, with the error of the Jimenez- Munnoz single -channel method being the lowest.
领 域: [自动化与计算机技术] [自动化与计算机技术]