"
Antecedent Precipitation Index to Estimate Soil Moisture and Correlate as a Triggering Process in the Occurrence of Landslides"
written by Marcio Augusto Ernesto De Moraes, Walter Manoel Mendes Filho, Rodolfo Moreda Mendes, Cassiano Antonio Bortolozo, Daniel Metodiev, Marcio Roberto Magalhães De Andrade, Harideva Marturano Egas, Tatiana Sussel Gonçalves Mendes, Luana Albertani Pampuch,
published by
International Journal of Geosciences,
Vol.15 No.1, 2024
has been cited by the following article(s):
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[1]
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Monitoring slow-moving landslides through PS-InSAR and antecedent precipitation index: a case study of Petacciato, Italy
International Journal of Remote Sensing,
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DOI:10.1080/01431161.2026.2618661
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[3]
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Bioretention Performance Under Tropical Conditions: Experimental Analysis of Hydrological Controls and Design Implications
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2026
DOI:10.1002/hyp.70382
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[4]
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Soil Moisture Retrieval in Slow-Moving Landslide Region Using SAOCOM $L$-Band: A Radiative Transfer Model Approach
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing,
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DOI:10.1109/JSTARS.2025.3581934
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[5]
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Monitoring framework for paired experiments to assess the changes in the water balance in urban forests and grass-covered plots
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DOI:10.15292/acta.hydro.2025.04
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[6]
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Heavy rains and hydrogeological disasters on February 18th–19th, 2023, in the city of São Sebastião, São Paulo, Brazil: from meteorological causes to early warnings
Natural Hazards,
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DOI:10.1007/s11069-024-06558-5
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