Mapping of areas susceptible to landslides in the watershed of Ribeirão Baú, Ilhota, Santa Catarina, Brazil

Sbroglia, Regiane Mara; Higashi, Rafael Augusto dos Reis; Tomazzoli, E; Sakamoto, M; Müller, V

doi:10.1201/b21520-224

Cited by 2 publications

(5 citation statements)

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“…Between 2015 and 2021, 27 articles were published and 15 out of them applied cross tabulation [36,52], success curve [26], AUC [14,16,25,35,40,42], ROC [43,46], or AUC/ROC [15,34,44,45] to validate the susceptibility maps. Two publications mentioned validation curves, but did not provide details about them [13,50]. These results demonstrate a growing trend towards the use of these validation methods.…”

Section: Validation Methodsmentioning

confidence: 88%

“…In general, slope stability models use hydrological, geomorphic and geotechnical input parameters, computation of safety factors (SFs), and in some cases they enable the construction of susceptibility scenarios based on rainfall thresholds [49]. SHALSTAB was the most frequently applied model [26][27][28]31,38,[48][49][50][51]. It is a physically-based digital terrain model for mapping slope stability potentially related to landslides [56].…”

Section: Susceptibility Assessment Methodsmentioning

confidence: 99%

“…Some of the publications highlight the importance of the developed work and the application of landslide susceptibility studies in Brazil. The authors discuss how the work can be used by research centers, universities, government, and other institutions interested in the prevention, monitoring, and forecasting of landslides [12,15,29,31,[33][34][35][36][37]41,43,44,46,50,52]. Vieira et al [28] mention the importance of models to provide relevant information about areas susceptible to landslides in a cost-efficient manner.…”

Section: Validation Methodsmentioning

confidence: 99%

“…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). Only the article by Bragagnolo et al [35] had two study areas, one located in Rio Grande do Sul and the other in Rio de Janeiro state.…”

Section: Location Of Study Areasmentioning

confidence: 99%

“…In the WoS database, there are two types of publication: articles (26) and proceedings papers (7). The proceedings papers were published in English and were from four different conferences: the International Symposium on Landslides (4) [13,33,50,51]; the Lusophone Conference on Sciences and Technologies of Geographic Information (1) [52], the International IAEG Congress (1); and theInternational Conference on Evolution, Monitoring, Simulation, Management and Remediation of the Geological Environment and Landscape (1) [47]. The articles were published in 15 different geosciences journals (Figure 5).…”

Section: Year Of Publication and Where It Was Publishedmentioning

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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