ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
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Articles | Volume IV-3
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-3, 167–172, 2018
https://doi.org/10.5194/isprs-annals-IV-3-167-2018
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-3, 167–172, 2018
https://doi.org/10.5194/isprs-annals-IV-3-167-2018

  23 Apr 2018

23 Apr 2018

AUTOMATED RECOGNITION OF VEGETATION AND WATER BODIES ON THE TERRITORY OF MEGACITIES IN SATELLITE IMAGES OF VISIBLE AND IR BANDS

Dmitry k. Mozgovoy1,2, Volodymyr V. Hnatushenko1,2, and Volodymyr V. Vasyliev1,2 Dmitry k. Mozgovoy et al.
  • 1EOS, LLC, Heroiev Stalingrada Str. Dnipro, 49055, Ukraine
  • 2Faculty of Physics, Electronics and Computer Systems, 49010 Oles Honchar Dnipro National University, Ukraine

Keywords: satellite monitoring, multispectral images, spectral indices, image processing, map updating

Abstract. Vegetation and water bodies are a fundamental element of urban ecosystems, and water mapping is critical for urban and landscape planning and management. A methodology of automated recognition of vegetation and water bodies on the territory of megacities in satellite images of sub-meter spatial resolution of the visible and IR bands is proposed. By processing multispectral images from the satellite SuperView-1A, vector layers of recognized plant and water objects were obtained. Analysis of the results of image processing showed a sufficiently high accuracy of the delineation of the boundaries of recognized objects and a good separation of classes. The developed methodology provides a significant increase of the efficiency and reliability of updating maps of large cities while reducing financial costs. Due to the high degree of automation, the proposed methodology can be implemented in the form of a geo-information web service functioning in the interests of a wide range of public services and commercial institutions.