Comparison of Remote Sensing Classification Techniques for Water Body Detection: A Case Study in Atikhisar Dam Lake (Çanakkale)
Journal Title: Cumhuriyet Science journal - Year 2019, Vol 40, Issue 3
Abstract
Water resources management is one of the most important issues of today. Satellite remote sensing have been successfully used to detect the presence of water bodies. In this study, four remote sensing methods: (1) normalized difference water index (NDWI), (2) support vector machine (SVM), (3) geographic object-based image analysis (GEOBIA) and (4) NDWI supported GEOBIA (GEOBIA_NDWI) were examined for water body area detection. For this purpose, Atikhisar Dam Lake, the only water source of Çanakkale central district of Turkey was selected as study area. As remote sensing data nine multitemporal Landsat-8 Operational Land Imager (OLI) multispectral satellite images between 2013 and 2017 were used. For the accuracy assessment, area values extracted from the used methods were tested with in-situ measurement lake area values. The main issues discussed in this study can be specified as follows: (i) Is pixel-based classification SVM or object-based image classification GEOBIA more successful in the water body detection?, (ii) Are the image classification methods (SVM and GEOBIA) or the water index (NDWI) more successful in the water body detection? and (iii) What is the contribution of NDWI to GEOBIA_NDWI (GEOBIA_NDWI) classification in the water body detection? The results show that meteorological factors and irrigation were influential in lake area variations. NDWI was found to be superior to other methods in determining water body and allowed for better detection of the lake boundary. Additionally, NDWI made a better separation of the land cover classes adjacent to water at the border. The object based GEOBIA was better than the pixel based SVM for distinguishing water and other land cover classes adjacent to border. GEOBIA_NDWI lake area results were more accurate than the standard object-based classification. Mixed pixels out of the lake area was determined less in the NDWI and GEOBIA_NDWI results.
Authors and Affiliations
Emre Özelkan
Keywords
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