Integration of hydro-informatics data and high-resolution satellite imagery for drainage channel capacity identification and evaluation

Urban flooding is a growing concern due to rapid land-use changes, increasing impervious surfaces, and aging drainage infrastructure. Accurate identification and evaluation of drainage channel capacity are critical to mitigating flood risks and optimizing urban water management. This study presents an integrated approach that combines hydro-informatics data and high-resolution satellite imagery to assess drainage channel capacity in urban areas. hydro-informatics data - including rainfall intensity, flow rate, and historical flood records are analysed in conjunction with satellite-derived spatial information, such as land cover, surface elevation, and drainage network morphology. Advanced geospatial and hydrological modelling techniques are applied to identify capacity constraints, detect anomalies in channel geometry, and simulate flood scenarios. The integration enables a more comprehensive and precise evaluation compared to traditional ground-based assessments. The proposed methodology supports decision-making for infrastructure upgrades, maintenance prioritization, and flood risk mitigation planning. This research highlights the potential of remote sensing and data-driven technologies in enhancing urban drainage system resilience in the face of climate variability and urban growth.