Author: Dr. Kavita Singh, Mr. Aditya Kumar
Abstract: Landslide inventory mapping is fundamental for hazard assessment, risk mitigation, and planning in mountainous regions. Conventional landslide mapping methods based on field surveys and satellite imagery often face limitations in spatial resolution, accessibility, and temporal frequency. Unmanned Aerial Vehicle (UAV)-based photogrammetry has emerged as a powerful tool offering high-resolution, flexible, and cost-effective data acquisition for detailed landslide inventory mapping. This paper presents an overview of UAV photogrammetry technology, including data acquisition, processing workflows, and interpretation techniques for landslide mapping. A case study from the Himalayan region demonstrates the integration of UAV-derived orthomosaics and digital terrain models (DTMs) to delineate landslide features and generate a comprehensive landslide inventory. The paper also includes a table summarizing UAV photogrammetry advantages compared to traditional methods. Challenges such as data processing complexity and regulatory constraints are discussed. The study concludes that UAV photogrammetry substantially enhances landslide inventory accuracy and supports effective disaster management strategies.
Keywords: UAV Photogrammetry, Landslide Inventory, Orthomosaic, Digital Terrain Model, Remote Sensing, Hazard Mapping, Geomatics
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