Landslide susceptibility mapping using the statistical method of Information Value: A study case in Ribeirão dos Macacos basin, Minas Gerais, Brazil

Rosa, Mateus Lima; Sobreira, Frederico Garcia; Barella, César Falcão

doi:10.1590/0001-3765202120180897

Cited by 5 publications

(6 citation statements)

References 29 publications

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“…The first paper that used statistical models for landslide susceptibility mapping in our database was from 2019 [16]. The authors compared several statistical approaches (Bayesian model, informative value, weights of evidence, logistic regression, and discriminant analysis), and the most recent papers that applied these methods were published in 2021 [25,40]. One publication compared the SHALSTAB model and the informative value approach in São Paulo state.…”

Section: Susceptibility Assessment Methodsmentioning

confidence: 99%

“…The study areas of each publication were analyzed based on the federal state of occurrence. Out of the 33 studies analyzed, 19 of them were in the southeast region, in the states of São Paulo (10) [15,[25][26][27][28][29][30][31][32][33], Rio de Janeiro (7) [12,[34][35][36][37][38][39], Minas Gerais (2) [16,40], and Espírito Santo (1) [41]. The remaining 14 were in the south region, in Rio Grande do Sul (8) [14,35,[42][43][44][45][46][47], Santa Catarina (4) [13,[48][49][50], and Paraná (2) [51,52] (Figure 3).…”

Section: Location Of Study Areasmentioning

confidence: 99%

“…The remaining 27% of articles were published in Brazilian journals: GEO UERJ, Anais da Academia Brasileira de Ciências (Annals of the Brazilian Academy of Sciences), and Confins and Revista Brasileira de Geomorfologia (Brazilian Journal of Geomorphology). Only the publication from Anais da Academia Brasileira de Ciências was in English [40]; the other articles were in Portuguese. Revista Brasileira de Geomorfologia is the Brazilian journal with the highest number of publications.…”

Section: Year Of Publication and Where It Was Publishedmentioning

confidence: 99%

“…Only a few of the studies that created a new landslide inventory (eight of 19) defined the criteria for the recognition and mapping in the article [13,16,28,30,32,34,40,49]. Table 2 shows that there is no standard method for the recognition of landslides in the Brazilian literature.…”

Section: Origin Of the Landslide Inventorymentioning

confidence: 99%

“…The terms "source of the landslide", "where the landslide started", and "rupture area" are examples of criteria that are not clear to the reader, and are subjective. Two publications applied criteria based on the literature [16,40], but they did not specify them. Visual interpretation was applied by five out of eight publications, whereas the other three did not describe how they carried out the recognition.…”

Section: Origin Of the Landslide Inventorymentioning

confidence: 99%

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Landslide Susceptibility Mapping in Brazil: A Review

2021

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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.

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Section: Susceptibility Assessment Methodsmentioning

confidence: 99%