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(Reference retrieved automatically from Web of Science through information on FAPESP grant and its corresponding number as mentioned in the publication by the authors.)

Landslide Susceptibility Mapping in Brazil: A Review

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Author(s):
Dias, Helen Cristina [1] ; Hoelbling, Daniel [2] ; Grohmann, Carlos Henrique [1]
Total Authors: 3
Affiliation:
[1] Univ Sao Paulo, Inst Energy & Environm, BR-05508010 Sao Paulo - Brazil
[2] Salzburg Univ, Dept Geoinformat ZGIS, A-5020 Salzburg - Austria
Total Affiliations: 2
Document type: Review article
Source: GEOSCIENCES; v. 11, n. 10 OCT 2021.
Web of Science Citations: 0
Abstract

Landslide susceptibility studies are a common type of landslide assessment. Landslides are one of the most frequent hazards in Brazil, resulting in significant economic and social losses (e.g., deaths, injuries, and property destruction). This paper presents a literature review of susceptibility mapping studies in Brazil and analyzes the methods and input data commonly used. The publications used in this analysis were extracted from the Web of Science platform. We considered the following aspects: location of study areas, year and where the study was published, methods, thematic variables, source of the landslide inventory, and validation methods. The susceptibility studies are concentrated in Brazil's south and southeast region, with the number of publications increasing since 2015. The methods commonly used are slope stability and statistical models. Validation was performed based on receiver operating characteristic (ROC) curves and area under the curve (AUC). Even though landslide inventories constitute the most critical input data for susceptibility mapping, the criteria used for the creation of landslide inventories are not evident in most cases. The included studies apply various validation techniques, but evaluations with potential users and information on the practical applicability of the results are largely missing.</p> (AU)

FAPESP's process: 19/17261-8 - Analysis of manual and semi-automatic shallow landslides inventories and its suitability in predictive models
Grantee:Helen Cristina Dias
Support Opportunities: Scholarships in Brazil - Doctorate
FAPESP's process: 19/26568-0 - High-resolution remote sensing, deep learning and geomorphometry in analyses of mass movements and geological risk
Grantee:Carlos Henrique Grohmann de Carvalho
Support Opportunities: Regular Research Grants