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Texture analysis of PALSAR mosaics for forests carbon stock estimation in central Sumatra

机译：苏门答腊中部森林碳储量估算用PALSAR马赛克的纹理分析

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Retrieving aboveground forest carbon stocks (AFCS) accurately in tropical region remains challenging due to forest structure complexity and species diversity. In order to improve AFCS estimates, the present study evaluates the potential of high-resolution ALOS/PALSAR mosaics data in the tropical forests in central Sumatra. The study region with AFCS range of 1 to 334 Mg ha consists of natural and plantation forests. Field measurements of AFCS were carried out in 87 plots. Various textures of dual polarized mosaics data for the year 2009 and 2010 were computed and assessed their potential for estimating AFCS applying regression modelling. R, p-value, variable inflation factor, and root mean square errors (RMSE) were examined. Potential models were cross validated by leave- one-out (LOO) method. The result indicates that simple textures analysis in PALSAR mosaics increases potential of AFCS estimation and reduces errors to 30.5 Mg ha. The method and models presented in this study can be a low cost wall-to-wall forest carbon mapping with high level of accuracy in tropical forests in Southeast Asia where other methods are still rare.
机译：由于森林结构的复杂性和物种多样性，在热带地区准确地获取地上森林碳储量（AFCS）仍然具有挑战性。为了改善AFCS估计，本研究评估了苏门答腊中部热带森林中高分辨率ALOS / PALSAR镶嵌数据的潜力。 AFCS范围为1至334 Mg ha的研究区域包括天然林和人工林。 AFCS的现场测量在87个样地中进行。计算了2009年和2010年双极化镶嵌数据的各种纹理，并评估了它们使用回归模型估算AFCS的潜力。研究了R，p值，可变通货膨胀因子和均方根误差（RMSE）。潜在模型通过留一法（LOO）方法进行了交叉验证。结果表明，在PALSAR马赛克中进行简单的纹理分析可以提高AFCS估计的潜力，并将误差降低到30.5 Mg ha。在这项研究中介绍的方法和模型可以是低成本的墙到墙森林碳测绘，在东南亚的热带森林中具有较高的准确度，而其他方法仍然很少。

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