基于Landsat-8遥感影像的浅水水深反演方法研究——以浪花礁区域为例
Research on Shallow Water Depth Inversion Method Based on Landsat-8 Remote Sensing Image—Taking the Langhua Reef Area as an Example
摘要: 浅水水深信息对海洋资源管理、航道规划、海岸防护等具有重要意义。本文基于Landsat-8卫星OLI影像，利用蓝光与绿光波段的对数比值，结合ICESat-2实测水深数据，建立了一种浅水区域水深反演模型，并以浪花礁海域为例进行了实验分析。通过多项式拟合方法，得到反演模型参数，拟合结果R2达到0.987，验证数据R2为0.951，表明本文所提模型具备良好的精度与稳定性。最终生成了浪花礁区域的水深分布图，揭示了其浅滩与深槽交错分布的地形特征。研究结果表明，对数比值模型在海岸带浅水测深中具有实用价值，并对水下地形测绘和生态研究具有重要意义。
Abstract: Shallow water depth information plays a vital role in marine resource management, channel planning, and coastal protection. This study utilizes Landsat-8 satellite OLI imagery to develop a shallow-water depth inversion model based on log ratios of blue and green light bands, combined with actual depth data from the ICESat-2 satellite, and carries out experimental analysis in the Langhua reef sea area. Through polynomial fitting methods, the model parameters achieved an R2 value of 0.987 for inversion results and 0.951 for validation data, demonstrating excellent accuracy and stability. The resulting water depth distribution map reveals the interlaced topographic features of shoals and deep channels in the Langhua Reef area. The research result demonstrates that the log ratio model holds practical value for shallow-water bathymetric surveys in coastal zones, significantly contributing to underwater topography mapping and ecological studies.
文章引用：仇世敖, 邱伟, 颜冰, 吴颉. 基于Landsat-8遥感影像的浅水水深反演方法研究——以浪花礁区域为例[J]. 海洋科学前沿, 2025, 12(3): 167-175. https://doi.org/10.12677/ams.2025.123017

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