首页> 外文期刊>Forest Science and Technology >Aboveground biomass mapping of La Trinidad forests in Benguet, Philippines, using Landsat Thematic Mapper data and k-nearest neighbor method.
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Aboveground biomass mapping of La Trinidad forests in Benguet, Philippines, using Landsat Thematic Mapper data and k-nearest neighbor method.

机译:利用Landsat Thematic Mapper数据和k近邻法,在菲律宾本格特的特立尼达(La Trinidad)森林地上生物量绘图。

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摘要

This study was conducted to estimate the aboveground biomass (AGB) of the La Trinidad forests in Benguet, Philippines, using the following data: Landsat Thematic Mapper, forest map, and field data, utilizing the k-nearest neighbor method. A total of 35 plots were established in the Pinus kesiya forests of La Trinidad, Benguet. The root mean square error and bias of the different k values ranging from 1 to 20 and horizontal reference area (HRA) ranging from 4 km to 7 km were determined. Results of the evaluation showed that the optimum k value and HRA were 4 and 7 km, respectively. These values were used for AGB estimation, and results showed that the mean AGB of the La Trinidad forests was 240.46 Mg/ ha, which is higher than the previous studies that estimated the AGB of Pinus kesiya forests in other areas in the Philippines. Overall accuracy was also determined using the confusion matrix and results showed that the overall accuracy was 56%. It is suggested that the AGB map for Pinus kesiya could provide baseline information for considering the carbon-sink potential of this forest, which is essential for sustainable forest management of tropical forests.
机译:这项研究的目的是使用以下数据估算菲律宾本格特市特立尼达(La Trinidad)森林的地上生物量(AGB):Landsat Thematic Mapper,森林图和田野数据,采用k近邻法。在本格的特立尼达(La Trinidad)的Pinus kesiya森林中共建立了35个地块。确定了从1到20的不同k值和从4 km到7 km的水平参考面积(HRA)的均方根误差和偏差。评估结果表明,最佳k值和HRA分别为4 km和7 km。这些值用于AGB估算,结果表明拉特立尼达森林的平均AGB为240.46 Mg / ha,高于先前估计菲律宾其他地区的Pinus kesiya森林的AGB的研究。还使用混淆矩阵确定了总体准确性,结果表明总体准确性为56%。建议松树亚克力的AGB图可以为考虑该森林的碳汇潜力提供基准信息,这对于热带森林的可持续森林管理至关重要。

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