检测橄快速衰退综合征:一个基于卫星的数据集用于阿普利亚地区的案例研究
Lorenzo Crecco1, Danilo Morelli1, Elisabetta Raparelli1
1CREA - Council for Agricultural Research and Economics, Research Centre for Agriculture and Environment, I-00184, Italy.
Data in brief
|June 9, 2025
概括
这项研究使用遥感绘制了意大利橄园中Xylella fastidiosa (Xf) 感染的地图. 由此产生的数据集有助于开发橄快速衰退综合征 (OQDS) 的早期检测方法.
科学领域:
- 植物病理学 植物病理学
- 遥感应用 遥感应用
- 农业监测 农业监测 农业监测
背景情况:
- 紫菌 (Xylella fastidiosa,Xf) 是一种在欧洲引起橄快速衰退综合征 (OQDS) 的细菌.
- OQDS威胁着橄树的健康和区域经济,特别是在意大利.
- 对Xf感染的准确空间数据至关重要,但对于有效的监测来说很少.
研究的目的:
- 创建一个详细的数据集Xylella fastidiosa感染的树木在阿普利亚,意大利.
- 支持开发和验证用于OQDS检测的遥感技术.
- 提供用于Xf的光谱带分析和物种分布建模的数据.
主要方法:
- 获取和细分三个WorldView-2卫星图像,覆盖25平方公里的热点.
- 对细分图像的视觉解释,以识别受OQDS影响的2340棵橄树.
- 创建一个数据集,用于分析76637棵单独的橄树.
主要成果:
- 创建了一个数据集,其中包括2340棵因OQDS而被确定为受感染或被移除的橄树.
- 该研究的重点是2019年和2020年记录有Xf感染的地区.
- 该数据集增强了对阿普利亚地区Xf分布的空间理解.
结论:
- 生成的数据集是推动基于遥感的OQDS监测的宝贵资源.
- 这些数据可以促进对Xf感染的光谱特征的研究.
- 该数据集将有助于对Xf传播和影响进行更广泛的生态研究.
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