Thank you so much for your comment and interest in this work.



This study differs from previous research conducted in the region in several key aspects. Earlier studies in Bangladesh have predominantly relied on optical remote sensing or post-event field assessments for cyclone damage mapping, which are often constrained by cloud cover, data availability, and delayed response times. In contrast, the present study employs a coherence-based approach using Sentinel-1 SAR data, enabling reliable damage detection irrespective of weather conditions and ensuring rapid assessment immediately after cyclone events.

In addition, this study integrates multi-temporal SAR analysis with field-based validation, allowing for a more robust and accurate representation of damage patterns. Unlike many previous works that focus on single-event analysis or qualitative assessments, this research provides a quantitative and spatially explicit framework for evaluating cyclone-induced impacts.

Furthermore, the proposed approach emphasizes operational applicability, offering a practical tool for near-real-time disaster response and decision-making in data-scarce and hazard-prone regions such as coastal Bangladesh.

We would like to thank the referee for the careful and constructive review of our manuscript. We sincerely appreciate the valuable comments and suggestions, which have helped improve the quality and clarity of our work. Our detailed point-by-point responses are provided in the attached PDF.

We would like to thank the referee for the careful and constructive review of our manuscript. We sincerely appreciate the valuable comments and suggestions, which have helped improve the quality and clarity of our work. Our detailed point-by-point responses are provided in the attached PDF.