Abstract

Accurate and reliable estimation of Above Ground Biomass (AGB) in tropical forests is much needed for net carbon assessments. The aim of the study is to determine the uncertainty in biomass estimation in terms of field plot size, shape and location error using field plot and remote sensing data in tropical dry deciduous forests of India. Detailed tree measurements and location mapping are performed in 13 (1 ha) plots and 1 a very large permanent plot of 32 ha and AGB is estimated using local volume equations. Remote sensing based AGB estimated using a multiple linear regression model between the reflectance (Sentinel-2) and backscatter (Sentinel-1) with field AGB. The result shows relative Root Mean Square Error (RMSE) of the model decreased by ∼50% with a plot size increase from 0.01 ha (64%) to 0.64 ha (14%). Furthermore, we also observed that the effect of Global Positioning System (GPS) location errors in AGB modelling would be negated by increasing plot size.

摘要

净碳评估非常需要准确和可靠地估计热带森林中的地上生物量（AGB）。该研究的目的是利用田间样地和遥感数据，确定印度热带干燥落叶林中根据样地大小，形状和位置误差确定生物量估算的不确定性。详细的树形测量和位置映射在13（1 ha）地块中执行，其中1是32 ha的非常大的永久地块，并使用局部体积方程估算AGB。使用具有场AGB的反射率（Sentinel-2）和反向散射（Sentinel-1）之间的多元线性回归模型估算基于遥感的AGB。结果表明，模型的相对均方根误差（RMSE）降低了约50％，样地面积从0.01公顷（64％）增加到0.64公顷（14％）。此外，