Application of remote sensing and GIS technology to estimate the three-needled pine forest biomass (Pinus kesiya Royle ex Gordon) in the Tuyen Lam Lake area, Da Lat city, Lam Dong province.
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Keywords

Sinh khối
Rừng thông
Các-bon
Viễn thám
Landsat 8
Sentinel-2
ALOS-2 Biomass
Pine Forest
Carbon
Remote sensing
Landsat 8
Sentinel-2
ALOS-2

Working Languages

How to Cite

Nguyen, V. L., Dang, V. K., Nguyen, Q. C., Nguyen, T. V. A., & Nguyen, T. T. S. (2024). Application of remote sensing and GIS technology to estimate the three-needled pine forest biomass (Pinus kesiya Royle ex Gordon) in the Tuyen Lam Lake area, Da Lat city, Lam Dong province. Journal of Geodesy and Cartography, (61), 33–40. https://doi.org/10.54491/jgac.2024.61.748

Abstract

This study utilized Landsat 8, Sentinel-2, and ALOS-2 satellite imagery combined with field survey data from 66 sample plots to develop a biomass estimation model and create a biomass map for the Tuyen Lam Lake area in Da Lat City, Lam Dong Province. The study has developed and selected the optimal model for estimating biomass and creating a biomass map of pine forests in the study area by integrating parameters from ALOS-2 and Sentinel-2 satellites with an R2 value of 0.79. These results will be useful in the management and sustainable development of forests in the research area. In addition, the study will also contribute to supplementing an important scientific basis in monitoring and managing greenhouse gas emissions and absorption from forests, contributing to Vietnam's common efforts in mitigating and adapting to current climate change.

https://doi.org/10.54491/jgac.2024.61.748
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