基于Landsat 8 OLI遥感影像的浅海水深反演研究

Deriving bathymetry information of shallow water based on landsat 8 OLI remote sensing images

浅海区水深的精确反演可为海洋空间管理和浅海资源开发提供重要的基础空间地理信息。选取北方海区某港口航道图图幅范围为研究区域,基于Landsat 8 OLI影像数据和实测水深数据,分别建立单波段模型和波段比值模型并对反演水深进行科学评定。经研究,实验区域中由绿波段参与的单波段模型反演精度最优,平均绝对误差(MAE)为0.40 m,平均相对误差(MRE)达3.1%,均方根误差达(RMSE)0.50 m。研究为遥感水深反演技术应用于沿海港口航道图自然水深周期更新提供了技术支撑,具有实际应用价值。

The important basic spatial geographic information of shallow water for marine space management and shallow water resources development can be provided by deriving bathymetry information.Based on Landsat 8 OLI image data and bathymetric data,a single band model and a band ratio model were established respectively to scientifically evaluate the inversion water depth.The results show that the single band model with green band is of the best inversion accuracy in the study area,with MAE 0.40 m,MRE 3.1%and RMSE 0.50 m.A technical support was provided for the application of remote sensing water depth derived technology to the periodic updating of natural water depth of coastal port and channel map,and had a strong practical application significance.