The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
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Articles | Volume XLII-4/W9
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-4/W9, 165–169, 2018
https://doi.org/10.5194/isprs-archives-XLII-4-W9-165-2018
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-4/W9, 165–169, 2018
https://doi.org/10.5194/isprs-archives-XLII-4-W9-165-2018

  30 Oct 2018

30 Oct 2018

EXTRACTION OF BUILT-UP AREA USING HIGH RESOLUTION SENTINEL-2A AND GOOGLE SATELLITE IMAGERY

S. Vigneshwaran and S. Vasantha Kumar S. Vigneshwaran and S. Vasantha Kumar
  • School of Civil and Chemical Engineering, Vellore Institute of Technology (VIT), Vellore, Tamil Nadu, India

Keywords: Built-up area, Extraction, Normalized Difference Index, High Resolution Satellite Imagery, Sentinel-2A, Google Satellite Imagery

Abstract. Accurate information about the built-up area in a city or town is essential for urban planners for proper planning of urban infrastructure facilities and other basic amenities. The normalized difference indices available in literature for built-up area extraction are mostly based on moderate resolution images such as Landsat Thematic Mapper (TM) and enhanced TM (ETM+) and may not be applicable for high resolution images such as Sentinel-2A. In the present study, an attempt has been made to extract the built-up area from Sentinel-2A satellite data of Chennai, India using normalized difference index (NDI) with different band combinations. It was found that the built-up area was clearly distinguishable when the index value ranges between −0.29 and −0.09 in blue and near-infrared (NIR) band combination. Post extraction editing using Google satellite imagery was also attempted to improve the extraction results. The results showed an overall accuracy of 90% and Kappa value of 0.785. Same approach when applied for another area also yields good results with overall accuracy of 92% and Kappa value of 0.83. As the proposed approach is simple to understand, yields accurate results and requires only open source data, the same can be used for extracting the built-up area using Sentinel-2A and Google satellite imagery.