Performance Assessment of GEBCO_2023 Gridded Bathymetric Data in Shallow Waters Using the Seafloor from ICESat-2 Photons

Author:

Giribabu Dandabathula1,Hari Rohit1,Sharma Jayant2,Ghosh Koushik1,Padiyar Niyati2,Sharma Aryan3,Bera Apurba Kumar1,Srivas Sushil Kumar1

Affiliation:

1. National Remote Sensing Centre, Indian Space Research Organisation

2. Jaipur Engineering College and Research Centre (JECRC) University

3. Panjab University

Abstract

Abstract Bathymetric data represents the true seafloor topography and aids in understanding the intricacies of earth and ocean interaction processes. The General Bathymetric Chart of the Oceans (GEBCO) released the GEBCO_2023 gridded bathymetric data as an interim dataset in connection with the ambitious task of producing the definitive ocean floor map by 2023. Evaluating the data of scientific importance is essential to ensure its fitness for the applications; however, the procedure needs qualified reference data of higher accuracy. This article discusses the methods and results of performance validation on GEBCO_2023 using the reference seafloor obtained from the ICESat-2 geolocated photons. The validation was carried out at three test sites of shallow waters with different ecotones. In the two of the test sites, where the coastal waters have minimal perturbations from the continental sediment flux, the trend of the seafloor from both the data sources is similar, and the quantified accuracy of GEBCO_2023 in terms of RMSE is less than 3 m. In the extent of the third test site, where mostly perennial turbidity prevails, the accuracy in terms of RMSE and MAE ranged from 5–6 m and underestimated the seafloor. The reasons for the errors in the GEBCO_2023 grid were analyzed based on the associated Type-Identifier grid that informs the source of depth data for a given grid cell. In summary, the GEBCO_2023 grid is the best available and resourceful bathymetric data in the present scenario where, besides the technological advancements, there exist challenges and complications for mapping the ocean surface.

Publisher

Research Square Platform LLC

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