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Characterizing the Spatial Distribution of Oak Wilt Disease Using Remote Sensing Data

机译：使用遥感数据表征橡木枯萎病的空间分布

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摘要

This study categorized the damaged trees by Supervised Classification using time-series-aerial photographs of Bukhan, Cheonggae and Suri mountains because oak wilt disease seemed to be concentrated in the metropolitan regions. In order to analyze thespatial characteristics of the damaged areas, the geographical characteristics such as elevation and slope were statistically analyzed to confirm their strong correlation. Based on the results from the statistical analysis of Moran's I, we have retrievedthe following: (i) the value of Moran's I in Bukhan mountain is estimated to be 0.25, 0.32, and 0.24 in 2009, 2010 and 2012, respectively, (ii) the value of Moran's I in Cheonggye mountain estimated to be 0.26, 0.32 and 0.22 in 2010, 2012 and 2014, respectively and (iii) the value of Moran's I in Suri mountain estimated to be 0.42 and 0.42 in 2012 and 2014. respectively. These numbers suggest that the damaged trees are distributed in clusters. In addition, we conducted hotspot analysis to identify howthe damaged tree clusters shift over time and we were able to verify that hotspots move in time series. According to our research outcome from the analysis of the entire hotspot areas (z-score>1.65), there were 80 percent probability of oak wilt diseaseoccurring in the broadleaf or mixed-stand forests with elevation of 200~400 m and slope of 20-40 degrees. This result indicates that oak wilt disease hotspots can occur or shift into areas with the above geographical features or forest conditions. Therefore, this research outcome can be used as a basic resource when predicting the oak wilt disease spread-patterns, and it can also prevent disease and insect pest related harms to assist the policy makers to better implement the necessary solutions.
机译：本研究通过利用Bukhan，Cheonggae和Suri Mountains的时间系列 - 空中照片，通过监督分类分类了受损的树木，因为橡树枯萎病似乎集中在大都市区。为了分析受损区域的表示特性，统计分析升高和坡度等地理特征以确认它们的强烈相关性。根据莫兰的统计分析的结果，我们检索了以下内容：（i）2009年，2010年和2012年，莫兰山I的价值估计为0.25,0.32和0.24，分别为0.25,0.32和0.24（ii） 2010年，2012年和2014年云南山区的价值估计为0.26,0.32和0.22，（iii）2012年和2014年苏兰山中莫兰的I的价值分别为0.42和0.42。这些数字表明损坏的树木分布在簇中。此外，我们进行了热点分析，以确定损坏的树木集群随着时间的推移，我们能够验证热点是否在时间序列中移动。根据我们的研究结果来自整个热点领域（Z-Score> 1.65），阔叶或混合架的橡木枯萎病的概率为80％，森林的升高为200〜400米，斜率为20- 40度。该结果表明，橡木枯萎病热点可能会发生或转移到具有上述地理特征或森林条件的区域。因此，该研究结果可以用作预测橡木枯萎病的蔓延模式时作为基础资源，并且还可以防止疾病和害虫有关的危害，以帮助决策者更好地实施必要的解决方案。

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