Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLI-B8, 1055-1059, 2016
https://doi.org/10.5194/isprs-archives-XLI-B8-1055-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
 
24 Jun 2016
ASSESSMENT OF CLASSIFICATION ACCURACIES OF SENTINEL-2 AND LANDSAT-8 DATA FOR LAND COVER / USE MAPPING
Raziye Hale Topaloğlu, Elif Sertel, and Nebiye Musaoğlu ITU, Civil Engineering Faculty, Geomatics Engineering Department, 34469, Istanbul, Turkey
Keywords: SENTINEL-2, LANDSAT-8, Remote Sensing, Supervised classification, Land Cover/ Use Mapping Abstract. This study aims to compare classification accuracies of land cover/use maps created from Sentinel-2 and Landsat-8 data. Istanbul metropolitan city of Turkey, with a population of around 14 million, having different landscape characteristics was selected as study area. Water, forest, agricultural areas, grasslands, transport network, urban, airport- industrial units and barren land- mine land cover/use classes adapted from CORINE nomenclature were used as main land cover/use classes to identify. To fulfil the aims of this research, recently acquired dated 08/02/2016 Sentinel-2 and dated 22/02/2016 Landsat-8 images of Istanbul were obtained and image pre-processing steps like atmospheric and geometric correction were employed. Both Sentinel-2 and Landsat-8 images were resampled to 30m pixel size after geometric correction and similar spectral bands for both satellites were selected to create a similar base for these multi-sensor data. Maximum Likelihood (MLC) and Support Vector Machine (SVM) supervised classification methods were applied to both data sets to accurately identify eight different land cover/ use classes. Error matrix was created using same reference points for Sentinel-2 and Landsat-8 classifications. After the classification accuracy, results were compared to find out the best approach to create current land cover/use map of the region. The results of MLC and SVM classification methods were compared for both images.
Conference paper (PDF, 1087 KB)


Citation: Topaloğlu, R. H., Sertel, E., and Musaoğlu, N.: ASSESSMENT OF CLASSIFICATION ACCURACIES OF SENTINEL-2 AND LANDSAT-8 DATA FOR LAND COVER / USE MAPPING, Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLI-B8, 1055-1059, https://doi.org/10.5194/isprs-archives-XLI-B8-1055-2016, 2016.

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