Application of Drone-Based Photogrammetry for Urban Flood Risk Assessment in Indore
Urban flooding poses serious challenges in Indore. Rapid urbanization and changing rainfall patterns worsen the problem. Researchers now apply drone-based photogrammetry to assess flood risks more accurately. This technology generates high-resolution 3D models of the city terrain.
Drones capture overlapping aerial images efficiently. Photogrammetry software then processes these images into detailed Digital Elevation Models (DEMs) and orthomosaics. Moreover, the method identifies low-lying areas, drainage patterns, and vulnerable zones with high precision.
Methodology
Researchers conducted drone surveys during the pre-monsoon season. They flew drones at optimal heights and followed systematic flight paths. In addition, they integrated ground control points for better accuracy.
The team processed the data using specialized software. They created high-resolution elevation maps and flood simulation models. Furthermore, they combined these outputs with rainfall data, land use maps, and historical flood records.
Key Findings
The analysis revealed several critical flood-prone areas in Indore. Low-lying residential colonies and commercial zones near nullahs showed high vulnerability. Additionally, the study highlighted inadequate drainage infrastructure in certain wards.
Transitioning to risk levels, areas with poor slope and high impervious surfaces faced greater inundation risks. The drone-derived models provided more accurate results than traditional satellite data. This improvement helped identify micro-level risks that earlier methods often missed.
Implications for Urban Planning
These findings support better urban planning decisions. Municipal authorities can use the 3D models to improve drainage networks and design effective flood mitigation measures. Moreover, the approach enables regular monitoring at lower costs.
Planners can also create flood risk maps for emergency preparedness. This technology helps prioritize infrastructure projects in the most vulnerable locations.
Conclusion
Drone-based photogrammetry offers a powerful tool for urban flood risk assessment in Indore. The method delivers fast, accurate, and cost-effective results. City administrators can now take proactive steps to reduce flood damages and enhance resilience.
Future studies should expand coverage to other cities in Madhya Pradesh. They can also integrate real-time weather data for dynamic risk modeling. Ultimately, this technology strengthens sustainable urban development in flood-prone areas.
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