Shallow landslide susceptibility mapping using high-resolution topography for areas devastated by super typhoon Haiyan

Abstract

Super typhoon Haiyan, considered as one of the most powerful storms recorded in 2013, devastated the central Philippines region on 8 November 2013 with damage amounting to more than USD 2 billion. Hardest hit is the province of Leyte which is located in central Philippines. Rehabilitation of the areas that were devastated requires detailed hazard maps as a basis for well-planned reconstruction. Along with severe wind, storm surge, and flood hazard maps, detailed landslide susceptibility maps for the cities and municipalities of Leyte (7246.7 km2) province are necessary. In order to rapidly assess and delineate areas susceptible to rainfall-induced shallow landslides, Stability INdex MAPping (SINMAP) software was used over a 5-m Interferometric Synthetic Aperture Radar (InSAR)-derived digital terrain model (DTM) grid. Topographic, soil strength, and hydrologic parameters were used for each pixel of a given DTM grid to compute for the corresponding factor of safety. The landslide maps generated using SINMAP are highly consistent with the landslide inventory derived from high-resolution satellite imagery from 2002 to 2014 with a detection percentage of 97.5 % and missing factor of 0.025. These demonstrate that SINMAP performs well despite the lack of an extensive geotechnical and hydrological database in the study area. The detailed landslide susceptibility classification is useful to identify safe and unsafe areas for reconstruction and rehabilitation efforts. These maps complement the debris flow and structurally controlled landslide hazard maps that are also being prepared for rebuilding Haiyan’s devastated areas.

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Acknowledgments

The work described in this paper is supported by the Landslide Hazard Mapping Component of Project NOAH (Nationwide Operational Assessment of Hazards) under the initiatives of the Department of Science and Technology (DOST) for an improved disaster prevention and mitigation system in the Philippines. This support from the Project NOAH team is gratefully acknowledged. The authors are also grateful to the National Mapping and Resource Information Authority (NAMRIA) for providing the digital terrain model, Bureau of Soil and Water Management (BWSM) for the digitized soil maps, and the reviewers for the valuable comments.

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Correspondence to Maricar L. Rabonza.

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Rabonza, M.L., Felix, R.P., Lagmay, A.M.F.A. et al. Shallow landslide susceptibility mapping using high-resolution topography for areas devastated by super typhoon Haiyan. Landslides 13, 201–210 (2016). https://doi.org/10.1007/s10346-015-0626-x

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Keywords

  • Landslide
  • Natural hazard
  • SINMAP
  • Susceptibility map
  • Spatial analyses
  • Philippines