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Manifestation of remote sensing data and GIS on landslide hazard analysis using spatial-based statistical models

Arabian Journal of Geosciences volume 3, pages 319–326 (2010)Cite this article

Abstract

This paper presents landslide hazard analysis at Cameron area, Malaysia, using a geographic information system (GIS) and remote sensing data. Landslide locations were identified from interpretation of aerial photographs and field surveys. Topographical and geological data and satellite images were collected, processed, and constructed into a spatial database using GIS and image processing. The factors chosen that influence landslide occurrence are topographic slope, topographic aspect, topographic curvature, and distance to rivers, all from the topographic database; lithology and distance to faults were taken from the geologic database; land cover from TM satellite image; the vegetation index value was taken from Landsat images; and precipitation distribution from meteorological data. Landslide hazard area was analyzed and mapped using the landslide occurrence factors by frequency ratio and bivariate logistic regression models. The results of the analysis were verified using the landslide location data and compared with the probabilistic models. The validation results showed that the frequency ratio model (accuracy is 89.25%) is better in prediction of landslide than bivariate logistic regression (accuracy is 85.73%) model.

الملخص

اظهاراظهار بيانات الاستشعار عن بعد وادوات نظم المعلومات الجغرافية في تحليل خطر الانزلاق الارضى باستخدام النماذج الإحصائية المكانية : دراسة حالة

هذه الورقة تعرض تحليل خطر الانزلاقات في منطقة الكاميرون بماليزيا، وذلك باستخدام نظم المعلومات الجغرافية وبيانات الاستشعار عن بعد. حيث تم تحديد مواقع الانزلاقات من خلال تفسير الصور الجوية وكذلك المسح الميداني. وعن طريق البيانات الجيولوجية والطبوغرافية وصور الأقمار الصناعية التي تم جمعها وتجهيزها، ومن ثم تحويلها الى قاعدة البيانات المكانية باستخدام نظم المعلومات الجغرافية ومعالجة الصور. العوامل المختارة والتي تؤثر في مكان تواجد الانزلاق الارضى تشتمل على: الميل الطوبوغرافي، الاتجاة الطوبوغرافي، الانحناء الطبوغرافي، والمسافة إلى الأنهار، وجميعها مستخرجة من قاعدة البيانات الطبوغرافية؛ والخصائص الصخرية وكذلك المسافة إلي الفوالق، والتي أخذت من قاعدة البيانات الجيولوجية؛ وكما تم الحصول على خريطة غطاء الأرض من خلال صور القمر الصناعيTM ؛ و تم الحصول أيضاً على قيم المعامل النباتي من خلال صورالقمر الصناعي اللاندسات؛ وبيانات توزيع الامطار تم الحصول عليها من محطات الأرصاد الجوية. تم تحليل ورسم خرائط مكان خطر الانزلاق الارضى باستخدام عوامل تواجد الانزلاق من خلال تطبيق نسبة التردد (frequency ratio) ونماذج (bivariate logistic regression). وتم التحقق من نتائج التحليل باستخدام بيانات موقع الانزلاق وقورنت مع النماذج الاحتمالية. نتائج التحقق بينت ان نموذج نسبة التردد والذي تبلغ دقته 89.25 ٪ أفضل في التنبؤ بالانزلاق الارضى من نموذج (bivariate logistic regression) والذي تبلغ دقته 85.73 ٪.

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Acknowledgment

Authors would like to thank to the Malaysian Remote Sensing Agency and Department of Surveying, Malaysia for providing various datasets in this research. Thanks are also due to Malaysian Meteorological Service Department for providing rainfall data for the research.

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Authors and Affiliations

  1. Institute of Cartography,Faculty of Forest, Hydro and Geosciences, Dresden University of Technology, 01062, Dresden, Germany

    Biswajeet Pradhan

  2. Geological Hazards and Engineering, Applied Geology Section, Saudi Geological Survey, Jeddah, 21514, Kingdom of Saudi Arabia

    Ahmed M. Youssef

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  1. Biswajeet Pradhan
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  2. Ahmed M. Youssef
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Correspondence to Biswajeet Pradhan.

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Pradhan, B., Youssef, A.M. Manifestation of remote sensing data and GIS on landslide hazard analysis using spatial-based statistical models. Arab J Geosci 3, 319–326 (2010). https://doi.org/10.1007/s12517-009-0089-2

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  • DOI: https://doi.org/10.1007/s12517-009-0089-2

Keywords

  • Landslide
  • Hazard
  • Frequency ratio
  • Logistic regression
  • GIS
  • Remote sensing
  • Cameron Highland
  • Malaysia

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