"
Thresholds of Instability: Precipitation, Landslides, and Early Warning Systems in Brazil"
written by Maiconn Vinicius de Moraes, Luana Albertani Pampuch, Cassiano Antonio Bortolozo, Tatiana Sussel Gonçalves Mendes, Marcio Roberto Magalhães de Andrade, Daniel Metodiev, Tristan Pryer,
published by
International Journal of Geosciences,
Vol.14 No.10, 2023
has been cited by the following article(s):
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[1]
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Avaliação da eficácia de alertas para deslizamentos em Jaboatão dos Guararapes (PE)
Terrae Didatica,
2025
DOI:10.20396/td.v21i00.8678142
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[2]
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ARHCS (Automatic Rainfall Half-Life Cluster System): A Landslides Early Warning System (LEWS) Using Cluster Analysis and Automatic Threshold Definition
International Journal of Geosciences,
2024
DOI:10.4236/ijg.2024.151005
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[3]
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Antecedent Precipitation Index to Estimate Soil Moisture and Correlate as a Triggering Process in the Occurrence of Landslides
International Journal of Geosciences,
2024
DOI:10.4236/ijg.2024.151006
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[4]
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Obtaining 2D Soil Geotechnical Profiles from Cokriging Interpolation of Sample Data and Electrical Resistivity Tomography (ERT)—Applications in Mass Movements Studies
International Journal of Geosciences,
2024
DOI:10.4236/ijg.2024.157029
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[5]
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A Machine Learning-Driven Approach to Uncover the Influencing Factors Resulting in Soil Mass Displacement
Geosciences,
2024
DOI:10.3390/geosciences14080220
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[6]
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The SNAKE System: CEMADEN’s Landslide Early Warning System (LEWS) Mechanism
International Journal of Geosciences,
2023
DOI:10.4236/ijg.2023.1411058
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