Evaluating Influencing Factors on Liqui-InSAR Derived Bathymetry in Dynamic Aquatic Environments: A Case Study of Lake Limboto, Indonesia

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Argo Galih Suhadha, Wening Aisyah Fauziana Koman, Rizky Faristyawan, Aldiano Rahmadya, Atriyon Julzarika, Aulia Tryatmojo, Farikhotul Chusnayah, Ratna Sari Dewi, Abdul Basith

2024 2024 IEEE International Conference on Aerospace Electronics and Remote Sensing Technology, ICARES 2024 - Proceedings Conference paper Cited by 0 Quartile

Abstract

This research investigates the application of Liqui-InSAR for bathymetric mapping in Lake Limboto, focusing on the accuracy and reliability of SAR-derived bathymetry under the influence of surface currents and wind. Two scenarios were considered: one including the effects of these oceanographic parameters (L+), and the other excluding them (L-). Through a combination of visual analysis, correlation assessments, and path profile comparisons, the study found that both scenarios exhibited similar correlation with reference bathymetry data, with R values of approximately 0.411 and R2 values of around 0.169. This suggests that the inclusion of surface currents and wind has a minimal impact on the predictive accuracy of SAR-derived bathymetry in this context. However, significant discrepancies between the SAR data and reference bathymetry were observed, primarily in regions affected by environmental factors such as the transition from water to land and high levels of Total Suspended Solids (TSS). These factors, more than oceanographic parameters, were found to influence the SAR signal, introducing noise and reducing coherence. The results highlight the challenges of using SAR bathymetry in complex aquatic environments, where sediment concentration and environmental changes play a larger role in accuracy. While Liqui-InSAR shows potential for bathymetric mapping, further refinement is needed to improve its precision in dynamic and sediment-rich environments. © 2024 IEEE.

Affiliations

Research Center for Geoinformatics, National Research and Innovation Agency (BRIN), Bandung, Indonesia; Universitas Gadjah Mada (UGM), Department of Geodetic Engineering Research, Sleman, Indonesia; Research Center for Geoinformatics, National Research and Innovation Agency (BRIN), Sleman, Indonesia; Research Center for Limnology and Water Resources, National Research and Innovation Agency (BRIN), Bogor, Indonesia; Institut Teknologi Sumatera (ITERA), Department of Geomatics Engineering, Lampung, Indonesia; Research Center for Hydrodynamics, National Research and Innovation Agency (BRIN), Surabaya, Indonesia; Center for Marin Mapping and Coastal Environment, Geospatial Information Agency (BIG), Bogor, Indonesia; Universitas Gadjah Mada (UGM), Department of Geodetic Engineering, Sleman, Indonesia