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Landslide susceptibility analysis using remote sensing and GIS in the western Ecuadorian Andes

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  • Nicolás Younes Cárdenas

    (James Cook University)

  • Estefanía Erazo Mera

    (James Cook University)

Abstract

In this paper we created and validated a predictive model for assessing the susceptibility of landslides along highway E-20 in Ecuador, by measuring the degree of spatial association of a landslide inventory with a set of spatial factors in an empirical way. The main aims of this paper are to: (1) determine what spatial factors are most associated with landslide occurrence, (2) determine whether the E-20 has any type of influence on landslide occurrence and, if so, up to what distance. For this, we created a landslide inventory based on multi-temporal images from different sources and used the Yule coefficient and the distance distribution analysis, which enabled us to determine which spatial factors are more closely related to the occurrence of landslides. The findings support the idea that landslides are not randomly distributed, but are associated (positively or negatively) to the different geo-environmental conditions of the study area; in this case, landslides have shown positive association with areas of active erosive processes, granitic rocks, volcanic sandstone and rainfall ranging from 1500 to 1750 mm. The statistical significance of the model was tested in two different ways; thus, it can be considered as valid, showing that each spatial factor has some influence on the occurrence of landslides.

Suggested Citation

  • Nicolás Younes Cárdenas & Estefanía Erazo Mera, 2016. "Landslide susceptibility analysis using remote sensing and GIS in the western Ecuadorian Andes," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 81(3), pages 1829-1859, April.
    • Handle: RePEc:spr:nathaz:v:81:y:2016:i:3:d:10.1007_s11069-016-2157-8
    DOI: 10.1007/s11069-016-2157-8
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    References listed on IDEAS

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    1. Juan Remondo & Alberto González-Díez & José De Terán & Antonio Cendrero, 2003. "Landslide Susceptibility Models Utilising Spatial Data Analysis Techniques. A Case Study from the Lower Deba Valley, Guipuzcoa (Spain)," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 30(3), pages 267-279, November.
    2. Chang-Jo Chung & Andrea Fabbri, 2003. "Validation of Spatial Prediction Models for Landslide Hazard Mapping," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 30(3), pages 451-472, November.
    3. Mark Berman, 1986. "Testing for Spatial Association between a Point Process and Another Stochastic Process," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 35(1), pages 54-62, March.
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    Cited by:

    1. Amit Bera & Bhabani Prasad Mukhopadhyay & Debasish Das, 2019. "Landslide hazard zonation mapping using multi-criteria analysis with the help of GIS techniques: a case study from Eastern Himalayas, Namchi, South Sikkim," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 96(2), pages 935-959, March.
    2. Tahir Ali Akbar & Siddique Ullah & Waheed Ullah & Rafi Ullah & Raja Umer Sajjad & Abdullah Mohamed & Alamgir Khalil & Muhammad Faisal Javed & Anwarud Din, 2022. "Development and Application of Models for Landslide Hazards in Northern Pakistan," Sustainability, MDPI, vol. 14(16), pages 1-17, August.

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