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UAV-Based LiDAR Sensing for 3D Reconstruction of Mangrove Canopies and Carbon Stock Estimation

Mughair Aslam BhattiShaheed Zulfikar Ali Bhutto Institute of Science and Technology University, Karachi, PakistanUlugbek BobamuratovDepartment of Information Technology and Exact Sciences, Termez University of Economics and Service, Termez, UzbekistanMuyassar AllaberganovaDepartment of Data Transmission Networks and Systems, Urgench State University, Urgench, UzbekistanYakitjon TurdiyevaDepartment of Specialized Social-Humanities and Exact Sciences, Tashkent State University of Economics, Tashkent, UzbekistanMatkarimov Nizomjon BaxtiyorovichDepartment of Ecology and Life Safety, Urgench State University Named After Abu Rayhan Biruni, UzbekistanYazeed Yasin GhadiDepartment of Computer Science and Software Engineering, Al Ain University, Al Ain, UAE

2026ng

ABI

Annotatsiya

Unmanned Aerial Vehicle (UAV)-based LiDAR (Light Detection and Ranging) technology offers a powerful tool for the detailed mapping and monitoring of mangrove ecosystems. Mangroves are critical to coastal protection, biodiversity, and carbon sequestration, but their structure and carbon storage capabilities are often difficult to assess using traditional methods. UAV-based LiDAR allows for high-resolution 3D reconstruction of mangrove canopies, capturing detailed information on canopy height, density, and complexity. This data enables accurate carbon stock estimation by providing precise measurements of above-ground biomass, which is essential for understanding the role of mangroves in carbon sequestration. The ability to perform non-invasive, high-precision surveys over large and remote areas makes UAV-based LiDAR particularly suited for monitoring mangrove forests, especially in regions that are difficult to access.

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Mavzular

Remote Sensing and LiDAR Applications Coastal wetland ecosystem dynamics 3D Surveying and Cultural Heritage

Identifikatorlar

DOI: 10.4018/979-8-3373-8872-4.ch011

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