Abstract
Τhe accuracy of low-resolution remote sensing data for monitoring shoreline evolution is the main issue that researchers have been trying to overcome in recent decades. The drawback of the Landsat satellite archive is its spatial resolution, which is appropriate only for low-scale mapping. The present study investigates the potentialities and limitations of remote sensing data and GIS techniques in shoreline evolution modeling, with a focus on two major aspects: (a) assessing and quantifying the accuracy of low- and high-resolution remote sensing data for shoreline mapping; and (b) calculating the divergence in the forecasting of coastline evolution based on low- and high-resolution datasets. Shorelines derived from diachronic Landsat images are compared with the corresponding shorelines derived from high-spatial-resolution airphotos or Worldview-2 images. The accuracy of each dataset is assessed, and the possibility of forecasting shoreline evolution is investigated. Two sandy beaches, named Kalamaki and Karnari, which are located in Northwestern Peloponnese, Greece, are used as test sites. It is proved that the shorelines derived from the Landsat data present a displacement error of between 6 and 11 m. The specific data are not suitable for the shoreline forecasting procedure and should not be used in related studies, as they yield less accurate results for the two study areas in comparison with the high-resolution data.
Highlights
The aim of this study is twofold: (a) to assess and quantify the accuracy of low- and high-resolution remote sensing data for shoreline mapping; and (b) to calculate the divergence in the forecasting of coastline evolution based on low- and high-resolution datasets
As discussed in the introduction, this study has two objectives: (a) to assess and quantify the accuracy of low- and high-resolution remote sensing data for shoreline mapping; and (b) to calculate the divergence in the forecasting of coastline evolution based on low- and high-resolution datasets
Two sandy beaches in Kalamaki and Karnari, located in Northwestern Peloponnese in Greece, were used as test sites in order to estimate and quantify the accuracy of low- and high-resolution data for shoreline mapping and to calculate the divergence in the forecasting of coastline evolution based on low- and high-resolution datasets
Summary
The most recent, Landsat 8, was launched in 2013. It is the oldest observing satellite imagery program of the planet’s surface and is the only source of various types of historical data, which can be extracted in vector format, from almost 50 years ago [1]. Millions of images have been acquired since which are free to access. This historic archive of Landsat data, especially the older one, is very useful for researchers studying coastline evolution, as these images are unique with respect to observing the passing of time. To study diachronic coastline evolution, researchers have exclusively used the Landsat series [4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33]
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