Landslide Susceptibility Mapping in Brazil: A Review
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 map...
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| Format: | Article |
| Language: | English |
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MDPI AG
2021-10-01
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| Series: | Geosciences |
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| Online Access: | https://www.mdpi.com/2076-3263/11/10/425 |
| _version_ | 1827679500807176192 |
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| author | Helen Cristina Dias Daniel Hölbling Carlos Henrique Grohmann |
| author_facet | Helen Cristina Dias Daniel Hölbling Carlos Henrique Grohmann |
| author_sort | Helen Cristina Dias |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-03-10T06:32:17Z |
| format | Article |
| id | doaj.art-f3ef22e954b94f1bbb9b525a08bc6342 |
| institution | Directory Open Access Journal |
| issn | 2076-3263 |
| language | English |
| last_indexed | 2024-03-10T06:32:17Z |
| publishDate | 2021-10-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Geosciences |
| spelling | doaj.art-f3ef22e954b94f1bbb9b525a08bc63422023-11-22T18:23:46ZengMDPI AGGeosciences2076-32632021-10-01111042510.3390/geosciences11100425Landslide Susceptibility Mapping in Brazil: A ReviewHelen Cristina Dias0Daniel Hölbling1Carlos Henrique Grohmann2Institute of Energy and Environment, University of São Paulo, São Paulo 05508-010, BrazilDepartment of Geoinformatics–Z_GIS, University of Salzburg, 5020 Salzburg, AustriaInstitute of Energy and Environment, University of São Paulo, São Paulo 05508-010, BrazilLandslide 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.https://www.mdpi.com/2076-3263/11/10/425mass movementssusceptibility modelslandslidelandslide susceptibilityBrazil |
| spellingShingle | Helen Cristina Dias Daniel Hölbling Carlos Henrique Grohmann Landslide Susceptibility Mapping in Brazil: A Review Geosciences mass movements susceptibility models landslide landslide susceptibility Brazil |
| title | Landslide Susceptibility Mapping in Brazil: A Review |
| title_full | Landslide Susceptibility Mapping in Brazil: A Review |
| title_fullStr | Landslide Susceptibility Mapping in Brazil: A Review |
| title_full_unstemmed | Landslide Susceptibility Mapping in Brazil: A Review |
| title_short | Landslide Susceptibility Mapping in Brazil: A Review |
| title_sort | landslide susceptibility mapping in brazil a review |
| topic | mass movements susceptibility models landslide landslide susceptibility Brazil |
| url | https://www.mdpi.com/2076-3263/11/10/425 |
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