Luthfiya Ratna Sari, Afifah Khairunnisa Erwin, Syifasari Diennabila, Lina Adi Wijayanti
Dharmasraya Regency, located in West Sumatra, frequently experiences prolonged heavy rainfall, resulting in floods and river overflow into residential areas, thereby disrupting daily activities. This study aims to identify areas at risk of flooding in Dharmasraya Regency using advanced remote sensing techniques. Flood-affected areas were identified by analyzing changes in backscattering values derived from Sentinel-1 SAR imagery. The data were processed using the SNAP software. Satellite imagery and remote sensing methods have proven invaluable tools for monitoring and mapping flood-prone areas. Sentinel-1 data were employed to detect flooded regions by comparing pixel value changes before and during the flood events. Threshold values were then applied to distinguish between inundated and non-inundated areas. The total flood-affected area in Dharmasraya Regency was determined to be 10.73 km². Field validation tests demonstrated a producer accuracy of 93.33% for non-flooded areas and 96% for flooded areas, while the user accuracy was 98.59% for non-flooded areas and 82.76% for flooded areas. The overall accuracy of the model was 97.12%. This study provides a deeper understanding of flood patterns and phenomena in Dharmasraya Regency, which is essential for implementing effective flood prevention and mitigation measures. © 2025 Author(s).
Politeknik Negeri Batam, Batam, Indonesia; Statistics Indonesia, Palangkaraya, Indonesia; Universitas Negeri Semarang, Semarang, Indonesia
