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September 5, 2025E3S Web of ConferencesOpen Access

Validation of Satellite-Based Rainfall Estimates and Environmental Variables for Developing a Flood Vulnerability Index in Surakarta, Indonesia

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Research validates satellite rainfall data CHIRPS and TRMM in mapping flood-prone areas, suggesting implications for urban planning.

CHIRPS data was found to be more accurate than TRMM, supporting its use in flood mapping.
About 97% of recorded flood events aligned with areas deemed vulnerable by the model, indicating its effectiveness.
Spatial analysis using GIS helped categorize areas based on flooding susceptibility, enhancing risk assessments.
The model's robust validation underlines the importance of satellite data in disaster risk reduction.

Mulyandari et al. (2025) studied this question.

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