"
Environmental Data Observation System—Solam for Analysis and Interpretation of Soil Moisture Variation and Precipitation Indexes"
written by Laura Vanessa Araque Lavalle, Rodrigo A. Stabile, Cassiano A. Bortolozo, Rodolfo M. Mendes, João V. C. Garcia, Mariana F. B. Motta, Marcio R. M. Andrade, Téhrrie König, Daniel Metodiev,
published by
International Journal of Geosciences,
Vol.9 No.11, 2018
has been cited by the following article(s):
|
[1]
|
Can one‐dimensional infiltration models reproduce soil moisture variations in landslide‐prone hillslopes? Evidence from Petrópolis, Brazil
Soil Science Society of America Journal,
2026
DOI:10.1002/saj2.70297
|
|
|
|
|
[2]
|
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
|
|
|
|
|
[3]
|
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
|
|
|
|
|
[4]
|
The SNAKE System: CEMADEN’s Landslide Early Warning System (LEWS) Mechanism
International Journal of Geosciences,
2023
DOI:10.4236/ijg.2023.1411058
|
|
|
|
|
[5]
|
APPLICABILITY OF THE SLOPE FAILURE DETECTION SENSORS TO THE HIGH INCIDENCE OF SLOPE HAZARDS IN BRAZIL UNDER THE IMPACT OF THE CLIMATE CHANGE
Journal of Japan Society of Civil Engineers, Ser. G (Environmental Research),
2022
DOI:10.2208/jscejer.78.5_I_143
|
|
|
|