Synergizing field measurements and handheld LiDAR for estimating carbon stocks in mixed deciduous forest on a river island in lower northern Thailand
2025
Netae, Tinnapan | Sarapin, Pativit | Meesawat, Nataporn | Phothi, Rutairat
This study explores the application of handheld 3D LiDAR technology to assess aboveground biomass and carbon storage of large trees within a mixed deciduous forest ecosystem. The research was conducted on a river island in the lower northern region of Thailand. The total area of the river island is approximately 4.16 ha. A total of 235 large trees from 17 species were inventoried within ten plots located in a mixed deciduous forest on a river island. Tree structural characteristics, such as diameter at breast height and total height were measured using conventional field techniques alongside handheld LiDAR scanning to enable cross-method comparisons. Allometric equations were applied to estimate total biomass and carbon stock. The results revealed strong correlations between LiDAR-derived and field-based measurements of diameter at breast height, height, and CO2 sequestration, with R2 values exceeding 0.98. The combined aboveground and belowground biomass totaled 126.933 tons, and the estimated average CO2 adsorption was 547.37 t ha–1. Bombax ceiba exhibited the highest CO2 sequestration among all trees. Additionally, soil carbon stock averaged 5.06 t ha–1, with the greatest concentration observed at a depth of 50 cm. These findings demonstrate that handheld LiDAR is a reliable and efficient tool for forest carbon assessment in isolated ecosystems.
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