Study Area:

The Preparation of Allometric Equation project took place in Surkhet and Mugu within Karnali Province, known for its diverse landscapes, ranging from mid-hills to high-altitude mountainous areas. These regions, characterized by thick forests and complex topography, provided a rich environment for collecting detailed data needed for developing allometric equations.

The challenging terrain and dense vegetation in these locations demanded the use of advanced surveying tools, including Terrestrial Laser Scanners (TLS) and Unmanned Aerial Vehicles (UAV). These technologies allowed for precise measurement and mapping of forest structures, crucial for understanding biomass distribution and supporting the development of accurate allometric equations for estimating tree volume and biomass.

Project Objectives:

TLS Data Collection: The primary goal was to capture detailed 3D point cloud data of trees using Terrestrial Laser Scanners. This data is essential for creating high-resolution 3D models of tree structures, which form the basis for developing allometric equations.

UAV Data Acquisition: UAV technology was employed to capture aerial imagery and 3D data across the forested regions. This provided a comprehensive view of the tree canopy and surrounding terrain, complementing the ground-level data collected by the TLS.

Allometric Equation Development: The combination of TLS and UAV data was used to prepare allometric equations. These equations enable the estimation of tree biomass, height, and volume, contributing to improved forest inventory and carbon sequestration studies.

Deliverables:

3D Point Cloud Data: Detailed 3D point cloud models of the forest area were created using TLS and UAV data. These models provided accurate measurements of tree dimensions, which are critical for developing allometric equations.

Allometric Equations: The project resulted in the development of precise allometric equations, which can be used for estimating tree biomass and volume. These equations are vital for forest management and environmental monitoring.

Digital Elevation Models (DEM) and Orthophotos: UAV-captured data was processed to generate high-resolution DEMs and orthophotos of the study area. These deliverables supported the project by offering a visual and topographical understanding of the region.