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基于Landsat⁃8 OLI数据的海南牛路岭水库水深的反演研究

Water Depth Determination of Niululing Reservoir in Hainan Island Based on LANDSAT-8 OLI Data

  • 摘要: 基于遥感数据的水深反演对加快海南省基础水文数据的收集和简化整片水域水文数据的动态监测有着重要意义.利用Landsat-8 OLI卫星遥感影像和乘船采集的实测数据,在单波段法、多波段比值法和底部反照率独立水深算法(B算法)中选出了最适合水深反演的模型,即B算法模型,并针对B算法模型中对于深度小于10 m和大于30 m的水体其反演精度不佳的问题,提出了分区反演的处理方法.结果表明,对于改进后的B算法模型,其平均绝对误差降低了45.7%,平均相对误差降低了42.3%,而且水深反演精度得到了明显提高.故改进后的分区反演B算法模型与牛路岭水库的实际水深分布更为契合,可以将其用来获取整个水库的水深数据.

     

    Abstract: Water depth determination based on remote sensing data is of great significance to accelerate the collection of basic hydrological data in Hainan Province and simplify the dynamic monitoring of hydrological data in the entire water area. In the report, the data from the Landsat-8 OLI image and the measurement were used and the single-band algorithm, the multi-band ratio algorithm, and the bottom albedo-independent bathymetry algorithm (B algorithm) were performed, and B algorithm was selected as the fittest algorithm for the water depth determination. Aimed at the problem that B algorithm are not accurate when water depth is less than 10 m and over 30 m, the water depth determination model with divisions was proposed and applied. The results indicated that the accuracy of the modified B algorithm is obviously improved, the average absolute error decrease by 45.7%,the relative error decrease by 42.3%. the modified B algorithm model is more fit for the actual water depth distribution of Niululing reservoir, and which can be used to acquire the water depth data of the entire reservoir.

     

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