Affiliation:
1. Department of Geosciences, University of Malta, MSD2080 Msida, Malta
Abstract
Bathymetric information has become essential to help maintain and operate coastal zones. Traditional in situ bathymetry mapping using echo sounders is inefficient in shallow waters and operates at a high logistical cost. On the other hand, lidar mapping provides an efficient means of mapping coastal areas. However, this comes at a high acquisition cost as well. In comparison, satellite-derived bathymetry (SDB) provides a more cost-effective way of mapping coastal regions, albeit at a lower resolution. This work utilises all three of these methods collectively, to obtain accurate bathymetric depth data of two pocket beaches, Golden Bay and Għajn Tuffieħa, located in the northwestern region of Malta. Using the Google Earth Engine platform, together with Sentinel-2 data and collected in situ measurements, an empirical pre-processing workflow for estimating SDB was developed. Four different machine learning algorithms which produced differing depth accuracies by calibrating SDBs with those derived from alternative techniques were tested. Thus, this study provides an insight into the depth accuracy that can be achieved for shallow coastal regions using SDB techniques.
Funder
Malta Council for Science and Technology
Subject
Fluid Flow and Transfer Processes,Computer Science Applications,Process Chemistry and Technology,General Engineering,Instrumentation,General Materials Science
Reference54 articles.
1. Bathymetry: Assessing Methods;Dierssen;Encycl. Nat. Resour.,2014
2. A synoptic review on deriving bathymetry information using remote sensing technologies: Models, methods and comparisons;Jawak;Adv. Remote Sens.,2015
3. A new digital bathymetric model of the world’s oceans;Weatherall;Earth Space Sci.,2015
4. Traganos, D., Poursanidis, D., Aggarwal, B., Chrysoulakis, N., and Reinartz, P. (2018). Estimating satellite-derived bathymetry (SDB) with the google earth engine and sentinel-2. Remote Sens., 10.
5. Bathymetric mapping by means of remote sensing: Methods, accuracy and limitations;Gao;Prog. Phys. Geogr.,2009
Cited by
3 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献