【摘要】 针对长江经济带平原湖区的浅水湖泊,提出了一种基于热红外遥感的湖泊水深测量方法.首先根据湖泊水温的垂直分布规律,推导出浅水湖泊中表层水温与水深平方的倒数存在近似的正比关系.然后以武汉东湖为例,利用Landsat-8热红外(TIRS)遥感影像数据反演东湖水表温度.结合实测水深测量样本点对,利用半经验回归方法,确定水深与水温的关系式,根据此关系式由水温反演出整个湖泊的水深,最后再结合影像当日的水位数据得到水下地形.试验模型拟合的相关系数R~2为0.657,在浅水湖泊水深反演中能取得平均相对误差8.93%的相对测深精度.试验表明,利用热红外遥感可为长江经济带平原湖区浅水湖泊的水深测量和水下地形测量提供一个快捷的新方法.更多还原

【Abstract】 A method of water depth measurement for lakes based on thermal infrared remote sensing data is proposed,which is aimed at the shallow lakes in plain area of Yangtze River Economic Belt. Firstly, according to the vertical distribution of lake water temperature, it is deduced that there is an approximate proportional relationship between surface water temperature and reciprocal of water depth square in shallow lakes. Then, water surface temperature of East Lake is retrieved from Landsat-8 Thermal Infrared Sensor( TIRS) imagery, and according to the water depth of the sampling point by field measurement, the relationship between water depth and water temperature are determined by semi-empirical regression method, and the water depth of the whole lake is able to be retrieved from the established relationship based on the data of water temperature. Finally, the underwater topography is obtained by combining the water level data of the image day. The correlation coefficient R~2 of the model is 0.657, with the average relative error of 8.93% are generated in the inversion of shallow lake water depth. The experiment shows that the thermal infrared remote sensing would provide a fast and new method for the water-depth measurement and the underwater topographic survey of shallow lakes in plain area of the Yangtze River Economic Belt.更多还原