A Comparison of Image Classification on Synthetic Aperture Radar and Optical Images For Detection of Water Bodies Case of Lake Burdur, Türkiye

Abstract

This study presents a comparison of the classification results of two different datasets using two individual methods. This study utilises both sentinel-1 data and Landsat data, with the first method involving the application of image classification on the sentinel data obtained and comparing the results. Additionally, data fusion as a second method was also performed on the sentinel VV polarisation and VH polarisation with Landsat 8 bands 3,5 and 8 in an attempt to improve the accuracy results of the classification. The classification results of the first method and the second method are compared in this paper. Water detection was the primary goal of this study, leading to these specific choices of Landsat bands.

Keywords

• Water body detection
• climate change
• image classification
• synthetic aperture radar
• optical imagery
• image fusion

References

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