The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
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Articles | Volume XLIII-B3-2021
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B3-2021, 707–712, 2021
https://doi.org/10.5194/isprs-archives-XLIII-B3-2021-707-2021
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B3-2021, 707–712, 2021
https://doi.org/10.5194/isprs-archives-XLIII-B3-2021-707-2021

  29 Jun 2021

29 Jun 2021

AUTOMATED DETECTION OF COLLAPSED BUILDINGS WITH USE OF OPTICAL AND SAR IMAGES, CASE STUDY: IZMIR EARTHQUAKE ON OCTOBER 30TH, 2020

O. Ekmekcioglu1 and N. Demir1,2,3 O. Ekmekcioglu and N. Demir
  • 1Akdeniz University, Institute of Natural and Applied Sciences, Department of Space Sci. and Technologies, 07058, Konyaalti, Antalya, Turkey
  • 2Akdeniz University, Faculty of Science, Department of Space Sci. and Technologies, 07058, Konyaalti, Antalya, Turkey
  • 3Akdeniz University, Institute of Natural and Applied Sciences, Department of Remote Sensing and GIS, 07058, Konyaalti, Antalya, Turkey

Keywords: Earthquake, Optical Satellite Image, SAR, Google Colab, ICEYE, MAXAR

Abstract. In this study, we have analysed the optical and SAR images both to detect the collapsed building automatically with the use of the cloud-based programming environment Google Colab Cloud environment. We have used the existing digital map of buildings which were provided by Here Maps Company, for each building feature, the histograms were generated both for optical and SAR images, the unmatched histograms on the optical image were mainly the destroyed buildings and newly established tent areas for the people who lost their homes. In the method, the most recent (before and after) optical images of the earthquake zone are taken. Some pre-processing steps were performed including principal component analysis, K-Means clustering. Then, the statistical values of area overlap with the building vectors are calculated and the threshold values are determined. SAR images are used to refine the results. he used optical satellite images are Worldview images with 30 cm GSD, and for SAR images, Sentinel 1 C band and ICEYE X band SAR images are used. Sentinel 1 and ICEYE images are provided from ESA.