Bathymetry over broad geographic areas using optical high-spatial-resolution satellite remote sensing without in-situ data

• DOI: 10.1016/j.jag.2023.103308
• Publication Date: 2023-04-23T00:56:20Z
• Authors: Yan Xu; Bin Cao; Ruru Deng; Bincai Cao; Hui Liu; Jiayi Li
• Keywords: Radiometric Calibration

High-spatial-resolution satellite remote sensing (RS) images facilitate mapping fine-scale bathymetry over broad geographic areas using either empirical or analytical methods. However, inferring from such remains challenging in practical applications. For the approach, high-quality in-situ depth calibration data that are required to establish a reliable bathymetric model unavailable excessively expensive. high-spatial-resolution RS without an adequate number of spectral bands can be problematic deriving depths bio-optical radiative transfer (RTM). This paper proposes analytical-empirical hybrid approach for estimating shallow optical high-spatial- and low-spectral-resolution data. In proposed group best matches relationship between corresponding logarithmic blue/green band ratios at time image acquisition is identified by comparing model-generated set image-extracted reference Then band-ratio fits constructed best-fit group. Lastly, estimated multispectral model. Two types covering seven oceanic islands Yongle Group within South China Sea (SCS) were used test approach. The derived color-coded digital (DDM) visually showed distribution water around islands. accuracy assessment performed well areas, attain similar those reported traditional satellite-derived as alternative when existing models not applicable due lack