Causal Analysis of Accuracy Obtained Using High-Resolution Global Forest Change Data to Identify Forest Loss in Small Forest Plots
Causal Analysis of Accuracy Obtained Using High-Resolution Global Forest Change Data to Identify Forest Loss in Small Forest Plots
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DOI：
10.3390/rs12152489
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发表时间：
2020-08
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影响因子：
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通讯作者：
Yusuke Yamada;Toshihiro Ohkubo;Katsuto Shimizu
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文献类型：
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作者：
Yusuke Yamada;Toshihiro Ohkubo;Katsuto Shimizu
查明森林损失地区是可持续森林管理的一个基本方面。汉森等人开发的全球森林变化（GFC）数据集（见《科学》342：850-853，2013年）是公开的，但这些数据集对小森林地块的准确性尚未得到评估。我们使用了一种基于森林覆盖率的方法来评估使用GFC数据来确定包含许多小森林地块的森林损失区域的准确性。我们评估了在GFC数据集中检测单个森林损失多边形的准确性的“召回率”，从GFC数据集确定的森林损失多边形的空间重叠的比例，相应的参考森林损失多边形的面积，我们确定的航空照片的视觉解释。采用线性非高斯非循环模型，分析了查全率与森林损失面积、树种、森林地形坡度的结构关系。我们发现，只有11.1%的参考数据集中的森林损失多边形在GFC数据集中被成功识别。结果表明，召回率与森林损失面积、森林树种和森林郁闭度的相关性最强。我们的研究结果表明，需要仔细考虑的结构关系时，使用GFC数据集，以确定森林损失的地区，有小的森林地块。此外，还需要进一步研究，以审查不同区域和具有不同森林特征的森林地区土地使用分类准确性的结构关系。
Identifying areas of forest loss is a fundamental aspect of sustainable forest management. Global Forest Change (GFC) datasets developed by Hansen et al. (in Science 342:850–853, 2013) are publicly available, but the accuracy of these datasets for small forest plots has not been assessed. We used a forest-wide polygon-based approach to assess the accuracy of using GFC data to identify areas of forest loss in an area containing numerous small forest plots. We evaluated the accuracy of detection of individual forest-loss polygons in the GFC dataset in terms of a “recall ratio”, the ratio of the spatial overlap of a forest-loss polygon determined from the GFC dataset to the area of a corresponding reference forest-loss polygon, which we determined by visual interpretation of aerial photographs. We analyzed the structural relationships of recall ratio with area of forest loss, tree species, and slope of the forest terrain by using linear non-Gaussian acyclic modelling. We showed that only 11.1% of forest-loss polygons in the reference dataset were successfully identified in the GFC dataset. The inferred structure indicated that recall ratio had the strongest relationships with area of forest loss, forest tree species, and height of the forest canopy. Our results indicate the need for careful consideration of structural relationships when using GFC datasets to identify areas of forest loss in regions where there are small forest plots. Moreover, further studies are required to examine the structural relationships for accuracy of land-use classification in forested areas in various regions and with different forest characteristics.