Estimation of Above Ground Biomass and Carbon Stock using UAV images

Forests have a vital role in maintaining global climate stability by removing greenhouse gases like carbon dioxide from environment. Estimation of stock is crucial quantifying the amount that present forest. The estimation forest biomass and through field measurements challenging timeconsuming task. Here this scenario, our study aims to estimate area using hybrid technique i.e., aerial survey ground survey. We used low-altitude remote sensing data acquired UAV an efficient way compared traditional techniques. developed orthomosaic collected imageries manually delineated tree crowns obtain crown projection (CPA) for entire GIS tools. Our contained mixed species with Pinus Wallichiana be dominant while other are negligible. Using field-measured height diameter at breast (DBH) as input, we estimated above-ground (AGB) allometric equation then factor value or aboveground (AGC) six sample plots. Next, relationship between CPA validated it comparing values obtained remaining four Among various model, 4th order Polynomial model was chosen due its highest coefficient correlation. After validation done AGC whole image. total AGB which about 7 hectare 210.7480 tons 448.4 respectively.