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Bayesian Approach for Landslide Identification from High-Resolution Satellite Images

  • Pilli Madalasa
  • Gorthi R K Sai Subrahmanyam
  • Tapas Ranjan Martha
  • Rama Rao Nidamanuri
  • Deepak Mishra
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 704)

Abstract

Landslides are one of the severe natural catastrophes that affect thousands of lives and cause colossal damage to infrastructure from small to region scales. Detection of landslide is a prerequisite for damage assessment. We propose a novel method based on object-oriented image analysis using bi-temporal satellite images and DEM. The proposed methodology involves segmentation, followed by extraction of spatial and spectral features of landslides and classification based on supervised Bayesian classifier. The proposed framework is based on the change detection of spatial features which capture the spatial attributes of landslides. The proposed methodology has been applied for the detection and mapping of landslides of different sizes in selected study sites in Himachal Pradesh and Uttarakhand, India. For this, high-resolution multispectral images from the IRS, LISS-IV sensor and DEM from Cartosat-1 are used in this study. The resultant landslides are compared and validated with the inventory landslide maps. The results show that the proposed methodology can identify medium- and large-scale landslides efficiently.

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Copyright information

© Springer Nature Singapore Pte Ltd. 2018

Authors and Affiliations

  • Pilli Madalasa
    • 1
  • Gorthi R K Sai Subrahmanyam
    • 2
  • Tapas Ranjan Martha
    • 4
  • Rama Rao Nidamanuri
    • 1
  • Deepak Mishra
    • 3
  1. 1.Department of Earth and Space SciencesIndian Institute of Space Science and TechnologyTrivandrumIndia
  2. 2.Department of Electrical EngineeringIndian Institute of Technology TirupatiTirupatiIndia
  3. 3.Department of AvionicsIndian Institute of Space Science and TechnologyThiruvananthapuramIndia
  4. 4.Geosciences GroupNational Remote Sensing CentreHyderabadIndia

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