Spatial Prediction of Coastal Bathymetry Based on Multispectral Satellite Imagery and Multibeam Data

Abstract

Abstract:The coastal shallow water zone can be a challenging and costly environment in which to acquire bathymetry and other oceanographic data using traditional survey methods. Much of the coastal shallow water zone worldwide remains unmapped using recent techniques and is, therefore, poorly understood. Optical satellite imagery is proving to be a useful tool in predicting water depth in coastal zones, particularly in conjunction with other standard datasets, though its quality and accuracy remains largely unconstrained. A common challenge in any prediction study is to choose a small but representative group of predictors, one of which can be determined as the best. In this respect, exploratory analyses are used to guide the make-up of this group, where we choose to compare a basic non-spatial model versus four spatial alternatives, each catering for a variety of spatial effects. Using one instance of RapidEye satellite imagery, we show that all four spatial models show better adjustments than the non-spatial model in the water depth predictions, with the best predictor yielding a correlation coefficient of actual versus predicted at 0.985. All five predictors also factor in the influence of bottom type in explaining water depth variation. However, the prediction ranges are too large to be used in high accuracy bathymetry products such as navigation charts; nevertheless, they are considered beneficial in a variety of other OPEN ACCESSRemote Sens. 2015, 7 13783 applications in sensitive disciplines such as environmental monitoring, seabed mapping, or coastal zone management.

Metode Dual Kanal Untuk Estimasi Kedalaman Di Perairan Dangkal Menggunakan Data Spot 6 Studi Kasus : Teluk Lampung (Dual Band Method for Bathymetry Estimation in Shallow Waters Depth Using Spot 6 Data Case Study: Lampung Bay)

“…Sementara itu, penelitian lain dengan mengintegrasikan resolusi tinggi citra WorldView-2 dengan kedalaman yang didasarkan pada algoritma multi channel baru telah dikembangkan (Eugenio et al, 2015). Penelitian dengan menerapkan rasio kanal biru/hijau dan model statistik ground calibration points dengan menggunakan citra satelit RapidEye (Monteys et al, 2015). Penelitian kedalaman menggunakan linear radiative transfer Bathymetry models atau model perpindahan radiasi kedalaman linear menggunakan citra IRS-1C, yang hasil informasinya dapat diintegrasi echo sounding dan Data GPS (Pattanaik et al, 2015), menghitung kedalaman dengan menggunakan Ensemble Learning (EL) dari algoritma Least Squares Boosting (LSB) dengan menggunakan citra SPOT-4 (Mohamed et al, 2016).…”

Investigating spatial error structures in continuous raster data

“…Harris et al (2013) demonstrated GW mae for UK freshwater acidification and London house price prediction accuracy, as separate case studies. Monteys et al (2015) demonstrated GW r for assessing water depth prediction accuracy in Irish coastal waters. These studies either directly extend GW summary statistics (e.g.…”

Coastal wetland change detection using high spatial resolution KOMPSAT-2 imagery

“…These multispectral sensors produce imagery with a spatial resolution of nearly 4 m, which is far superior to that of medium resolution sensors (i.e., 20 -250 m). Data produced by these high-resolution satellites are not only useful for accurately assessing coastal wetlands (Yagoub and Kolan 2006;Adam et al 2014;Monteys et al 2015), but also assist in gaining an understanding of the impacts of interactions between natural and anthropogenic processes (Lee and Shan 2003). Korea Multi-Purpose Satellite-2 (KOMPSAT-2), launched in 2006, is also a high spatial resolution satellite with 4-m resolution multispectral bands.…”