Abstract
Abstract. Accurate determination of water depth is indispensable in multiple aspects of civil engineering (dock construction, dikes, submarines outfalls, trench control, etc.). To determine the type of atmospheric correction most appropriate for the depth estimation, different accuracies are required. Accuracy in bathymetric information is highly dependent on the atmospheric correction made to the imagery. The reduction of effects such as glint and cross-track illumination in homogeneous shallow-water areas improves the results of the depth estimations. The aim of this work is to assess the best atmospheric correction method for the estimation of depth in shallow waters, considering that reflectance values cannot be greater than 1.5 % because otherwise the background would not be seen. This paper addresses the use of hyperspectral imagery to quantitative bathymetric mapping and explores one of the most common problems when attempting to extract depth information in conditions of variable water types and bottom reflectances. The current work assesses the accuracy of some classical bathymetric algorithms (Polcyn–Lyzenga, Philpot, Benny–Dawson, Hamilton, principal component analysis) when four different atmospheric correction methods are applied and water depth is derived. No atmospheric correction is valid for all type of coastal waters, but in heterogeneous shallow water the model of atmospheric correction 6S offers good results.
Highlights
Coastal development activities alter coastal catchments and directly affect littoral environments
Traditional in situ survey methods, such as bathymetries made with Global Positioning System (GPS) in real-time kinematic (RTK) mode and echosounder data (Pereda García et al, 2016), reach higher accuracies and provide excellent data nowadays, but they require major logistical commitments and often lack spatial–temporal resolution to resolve the aimed processes
While they perhaps provide lower accuracy, remote sensing techniques offer the potential for cost-efficient, long-term data collection with high resolution in time and space (Schowengerdt, 1997; Richards, 1999)
Summary
Coastal development activities alter coastal catchments and directly affect littoral environments Management of these ecosystems requires improved monitoring systems to track changes in water quality and quantity through time, but such records are better contextualized by using synoptic data (Mertes et al, 2004), as this type of impacts are commonly observed at region rather than local scale. Traditional in situ survey methods, such as bathymetries made with Global Positioning System (GPS) in real-time kinematic (RTK) mode and echosounder data (Pereda García et al, 2016), reach higher accuracies and provide excellent data nowadays, but they require major logistical commitments and often lack spatial–temporal resolution to resolve the aimed processes While they perhaps provide lower accuracy, remote sensing techniques offer the potential for cost-efficient, long-term data collection with high resolution in time and space (Schowengerdt, 1997; Richards, 1999).
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