基于时间序列的地表温度反演:以松江河地区为例

为研究同一地区不同时相的地表温度受植被和地表状况等因素影响后,其温度变化程度的差异,以Landsat 5 TM和Landsat 7 ETM+热红外数据为数据源,采用辐射传输方程法分别反演了松江河地区12个不同月份的地表真实温度,并分析出现稳态温度异常地段的影响因素,计算12个月的温度反演结果的均值和方差。结果表明:1平均值图像中的温度异常区域与绝大部分时相图像的温度异常区域十分相似,图像西北区域和中心区域出现较多温度异常。2方差图像中原系列图像中高温异常的区域,其方差也较大,即时间序列上温度波动较大;原系列图像中植被覆盖度较高的区域,其方差较小,即时间序列上温度变化较为稳定。

Surface temperature inversion based on time series: taking Songjianghe region for example

For the study of the degree of change in the temperature difference after the effect of factors such as the vegetation and surface conditions in the same region at different phases，Landsat 5 TM and Landsat 7 ETM + thermal infrared data were taken as the data source，and different surface true temperatures of 12 months in Songjianghe region were inversed based on radiative transfer equation method and the affecting factors of appearing steady temperature abnormal area were analyzed． While the mean and variance results of 12 months were calculat- ed． The results show that ① temperature anomaly region in the average temperature anomaly image shows a very similar trend with the majority，while the northwest region and the central region of the image appear more tempera- ture anomalies; ② The variance of the high temperature anomaly area in the original series of the variance image is large，i． e． the temperature fluctuations in the time series is large． The variance of the original series of images in high vegetation coverage area is small，that is the time － series change in temperature is stable．