基于遥感影像的漠河市地表温度反演
Land Surface Temperature Retrieval of Mohe City Based on Remote Sensing Image

地表温度不仅对全球性的气候变化有重要意义，而且在各种灾害的监测预测方面，以及现代城市建设中也起到了重要作用。随着遥感卫星技术的发展，卫星遥感影像数据被广泛应用于众多领域之中，Landsat系列卫星影像的广泛应用对推动遥感技术的发展起到了重要作用。本文以黑龙江省漠河市为研究区域，利用2018年8月23日和2018年8月30日的Landsat8卫星影像，对地表温度进行反演，对反演结果进行分析。研究结果表明，漠河市最高温度为36.5909℃，最低温度为14.2906℃，平均温度为23.2028℃，标准差为1.5777，全区气温偏低，低温区位于水体及植被覆盖度高的地区，高温区位于城镇人口密度较大的地区，对研究本地城市热岛效应和森林火灾预测监控具有重要意义。
Land surface temperature is not only of great significance to global climate change, but also plays an important role in the monitoring and prediction of various disasters, as well as in the construction of modern cities. With the wide application of satellite remote sensing image data in various fields and the rapid development of remote sensing satellite technology, the wide application of Landsat series satellite images plays an important role in promoting the development of remote sensing technology. This paper takes Mohe city, Heilongjiang province as the research area, the land surface temperature (LST) retrieval was conducted from remote sensing Landsat8 images acquired on August 23, 2018 and August 30, 2018 based on radioactive transfer equation algorithm. The highest temperature in Mohe city was 36.5909？C, the lowest temperature is 14.2906？C and the average temperature was 23.2028？C. The standard deviation is 1.5777. The temperature is low in the whole area. Areas with water and high vegetation coverage are low temperature areas, and the densely populated area of the city is the high temperature zone. This experiment is of great significance to study the local heat island effect and forecast and monitor forest fires.