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Structure and characteristics of landslide input data and consequences on landslide susceptibility assessment and prediction capability
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Resumo(s)
The main objective of this study is to assess the influence of landslide representation format (i.e.
landslide represented as points or areas) in landslide susceptibility results, especially at scales
that can directly interfere with spatial planning. For the study area of Rio Grande da Pipa basin,
Arruda dos Vinhos, Portugal, the Information Value method is used to statistically integrate two
rotational slides groups (deep and shallow) and a dataset of independent predisposing geoenvironmental
factors. For both landslide groups, landslides were represented by: (i) the
landslide area; (ii) the landslide depletion area; (iii) the centroid of landslide area; and (iv) the
centroid of landslide depletion area. Additionally each group was randomly partitioned in two
equivalent landslide sub-groups (50–50%), one for modeling and the other for independent
validation of the landslide susceptibility maps. The evaluation of the landslide representation
format on the prediction capacity of each landslide susceptibility model was based on
Receiving Operating Characteristic curves and in the calculation of Area Under the Curve. As
main results this work points out the sensitivity of landslide susceptibility models prediction
capability to the landslide representation format. Consistently, for both landslide groups, the
better predictive results were achieved by modeling with the landslide depletion area and
validating with landslide depletion area and the worst results by modeling with landslide
centroid and validating with the landslides area. Furthermore the same hierarchy of landslide
representation formats regarding the prediction capability of the landslide susceptibility models
was recorded independently of being deep or shallow rotational slide types.
Descrição
Palavras-chave
Landslide representation Susceptibility Landslide prediction
Contexto Educativo
Citação
Oliveira, S. C., Zêzere, J. L., & Garcia, R. A. (2015). Structure and characteristics of landslide input data and consequences on landslide susceptibility assessment and prediction capability. In: G. Lollino, et al. (eds.). Engineering Geology for Society and Territory-Volume 2 , (pp. 189-192). Springer. ISBN: 978-3-319-09056-6. DOI: 10.1007/978-3-319-09057-3.