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首页> 外文期刊>Plant Protection Science >Monitoring Infestations of Oak Forests by Tortrix viridana (Lepidoptera: Tortricidae) using Remote Sensing
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Monitoring Infestations of Oak Forests by Tortrix viridana (Lepidoptera: Tortricidae) using Remote Sensing

机译:利用遥感监测栎木(Tortrix viridana)(鳞翅目:Tortricidae)对橡树林的侵染

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摘要

We tested the suitability of Landsat images to track defoliation by insect herbivory with focus on the oak leaf roller, Tortrix viridana (Lep.: Tortricidae). Landsat images from the period before (2002) and after the T. viridana infestation (2007, 2014) were compared in oak forests of Zagros in western Iran. The Normalised Difference Vegetation Index (NDVI) was calculated for the test area from Landsat 5, 7, and 8 images. Because the red and near-infrared spectral bands of Landsat 8 OLI sensors are different from the other two, a model for the calibration of Landsat OLI NDVI was developed. The proposed model with a correlation coefficient of 0.928 and root mean square error of 0.05 turned out to be applicable and the NDVI decreased significantly during the observation period. Taking into account the protection status of the area and small fluctuations in temperature, the decrease in NDVI could be attributed to T. viridana damage.
机译:我们测试了Landsat图像是否适合跟踪昆虫食草引起的脱叶,重点是橡树叶滚筒Tortrix viridana(见:Tortricidae)。在伊朗西部的扎格罗斯的橡树林中,比较了2002年之前和2002年2014年紫薇侵染后的Landsat影像。从Landsat 5、7和8图像计算出测试区域的归一化植被指数(NDVI)。由于Landsat 8 OLI传感器的红色和近红外光谱带与其他两个不同,因此开发了用于Landsat OLI NDVI校准的模型。所提出的模型具有0.928的相关系数和0.05的均方根误差,证明是适用的,并且NDVI在观察期内显着下降。考虑到该地区的保护状况和温度的小幅波动,NDVI的下降可能归因于绿锥虫的危害。

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