基于B算法和多波段模型的青海湖遥感测深比较研究

Comparative Study on Water Depth Remote Sensing in Qinghai Lake based on B Algorithm and Multi-band Model

遥感测深技术克服了水体传统测深方法不足，可以快速、动态获取大型水域的水深信息．本文以LandSat-8OLI卫星遥感影像、SQ—SFCC手持式超声波测深仪实测水深数据，对比分析了底部反照率独立水深测量算法（B算法）、多波段模型水深估算的精度及其稳定性．结果表明，B算法模型是青海湖遥感测深的最优模型，模型绝对误差介于～3．71～0．11m之间，平均误差为0．17m，总体平均相对误差为3．88％，这对于中国面积最大的咸水湖水深遥感估测而言，已经能够满足一般应用与科学研究的测深要求．本文方法能够迅速、经济地估测咸水湖泊水深，对其它大型湖泊的水深测量也具有一定的借鉴意义．

Bathymetry Technology of remote sensing overcomes the shortage of the traditional method and it can obtain the water depth information of the wide water-area in a fast and dynamic way. Based on the data of Land Sat--80LI imagery reflectance and the ultra-sonic depth finder measurement data, this paper compared and analyzed their accuracy and stability of the B algorithm model and multi-band model. The results showed that the B algorithm model was the optimal model for water depth of remote sensing in Qinghai I.ake, whose error is absolute ranging from --3.71 to 0. 11m,the average error is --0.17m and the average relative error is 3.88 %. The research has been able to meet the requirements of general application and scientific research in the estimation water depth of the largest saline lake in China. The research could be used to estimate the depth of the lake quickly and economically, and it also can be consulted for the bathymetry of large lakes in other region using remote sensing techniques.