首页> 外文会议>International Geoscience and Remote Sensing Symposium >Normalized Projected Red SWIR (NPRS): A New Vegetation Index for Forest Health Estimation and Its Application on Spruce Bark Beetle Attack Detection
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Normalized Projected Red SWIR (NPRS): A New Vegetation Index for Forest Health Estimation and Its Application on Spruce Bark Beetle Attack Detection

机译:规范化预计的红色和苏格兰州(NPRS):森林健康估算的新植被指标及其对云杉甲虫虫攻击检测的应用

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Due to the ongoing global warming, European spruce bark beetles has become a serious threat to the spruce forests in Europe and caused serious environmental and economic issues. This study proposes a new vegetation index, Normalized Projected Red & SWIR (NPRS), for detection of spruce bark beetle attacks. 29 healthy and 24 bark beetle attacked plots in southern Sweden were used for evaluating the classification accuracy using NPRS at early-, intermediate- and late-stage attacks. The obtained kappa coefficients were 0.73, 0.80 and 0.88, respectively. It was concluded that the NPRS is a feasible method for continuous bark beetle mapping over large areas.
机译:由于持续的全球变暖,欧洲云杉的树皮甲虫对欧洲的云杉森林产生了严重威胁,并造成了严重的环境和经济问题。本研究提出了一种新的植被指数,标准化预定的红色和苏格兰(NPRS),用于检测云杉的树皮甲虫攻击。 29健康和24块甲特甲虫在南部南部的攻击地块用于在早期,中期和晚期攻击时使用NPR来评估分类准确性。所获得的κ系数分别为0.73,0.80和0.88。结论是,NPRS是在大面积上连续吠声甲虫绘制的可行方法。

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