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首页> 外文期刊>Journal of Forest Planning >Conifer Plantation Volume Estimation by Remote Sensing without Parameter Fittings
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Conifer Plantation Volume Estimation by Remote Sensing without Parameter Fittings

机译:没有参数拟合的针叶树人工林遥感估算

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The objective of the present study is to develop a transparent and verifiable model of volume estimation for conifer plantations using remote sensing. The model is to be independent from observation, that is, ground truths are not necessary for parameter fitting and model construction. To achieve it, the estimation process is divided into two steps: direct measurements of physical parameters of stand, and a stand volume estimation by an external model. As an external model, we adopt the stand densitychart, which is a robust and general model of stand volume growth and estimation based on a semi-empirical growth model of even-aged stands. It can estimate a stand volume from a dominant height and a density, which can be directly measured by remote sensing. In the present study, firstly, the iso-height curves, a sub-model of the stand density chart, are created from the external inventory data. Then, the dominant heights and densities are directly observed by means of the airborne remote sensing. Finally stand volumes are estimated by the observed dominant heights and densities using the iso-height curves. We found that the new iso-height curves predicted the stand volume very well. The dominant height estimation was reasonably accurate, too. However, there was a room for improvement for the stand density estimation. This method will contribute the implication of the remote sensing technology to forest management by sharing the concept and values with foresters.
机译:本研究的目的是为使用遥感技术开发针叶树人工林的体积估计建立一个透明且可验证的模型。该模型应独立于观察,也就是说,对于参数拟合和模型构建而言,不需要地面真理。为此,估算过程分为两个步骤:直接测量林分物理参数,并通过外部模型估算林分体积。作为外部模型,我们采用了林分密度图,该图是基于平均年龄林分的半经验增长模型的林分数量增长和估计的稳健而通用的模型。它可以根据主要的高度和密度来估算林分体积,可以通过遥感直接测量。在本研究中,首先,等高线曲线是林分密度图的子模型,是根据外部库存数据创建的。然后,通过机载遥感直接观察主要的高度和密度。最后,利用等高曲线,通过观察到的主要高度和密度估算林分体积。我们发现新的等高线曲线很好地预测了林分体积。主导高度估计也相当准确。但是,林分密度估算仍有改进的空间。这种方法将通过与林业者共享概念和价值,将遥感技术对森林管理作出贡献。

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