Modeling and Accuracy Assessment of Determining the Coastline Course Using Geodetic, Photogrammetric and Satellite Measurement Methods: Case Study in Gdynia Beach in Poland

The coastal environment represents a resource from both a natural and economic point of view, but it is subject to continuous transformations due to climate change, human activities, and natural risks. Remote sensing techniques have enormous potential in monitoring coastal areas. However, one of the...

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Published inElectronics (Basel) Vol. 13; no. 2; p. 412
Main Authors Figliomeni, Francesco Giuseppe, Specht, Mariusz, Parente, Claudio, Specht, Cezary, Stateczny, Andrzej
Format Journal Article
LanguageEnglish
Published Basel MDPI AG 01.01.2024
Subjects
Accuracy
Algorithms
Artificial satellites in navigation
Coastal environments
Coastal zone
Coasts
Confidence intervals
Datasets
Global navigation satellite system
Image processing
Kinematics
Lakes
Landsat satellites
Measurement methods
Methods
Model accuracy
Oceans
Photogrammetry
Remote sensing
Support vector machines
Topography
Poland
Baltic Sea
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Summary:The coastal environment represents a resource from both a natural and economic point of view, but it is subject to continuous transformations due to climate change, human activities, and natural risks. Remote sensing techniques have enormous potential in monitoring coastal areas. However, one of the main tasks is accurately identifying the boundary between waterbodies such as oceans, seas, lakes or rivers, and the land surface. The aim of this research is to evaluate the accuracy of coastline extraction using different datasets. The images used come from UAV-RGB and the Landsat-9 and Sentinel-2 satellites. The method applied for extracting the coast feature involves a first phase of application of the Normalized Difference Water Index (NDWI), only for satellite data, and consequent application of the maximum likelihood classification, with automatic vectorization. To carry out a direct comparison with the extracted data, a coastline obtained through a field survey using a Global Navigation Satellite System (GNSS) device was used. The results are very satisfactory as they meet the minimum requirements specified by the International Hydrographic Organization (IHO) S-44. Both the UAV and the Sentinel-2 reach the maximum order, called the Exclusive order (Total Horizontal Uncertainty (THU) of 5 m with a confidence level of 95%), while the Landsat-9 falls into the Special order (THU of 10 m with a confidence level of 95%).
ISSN:2079-9292
2079-9292
DOI:10.3390/electronics13020412