Crecco Lorenzo, Morelli Danilo, Raparelli Elisabetta, Giulio Mara Di, Bajocco Sofia
CREA - Council for Agricultural Research and Economics, Research Centre for Agriculture and Environment, I-00184, Italy.
Data Brief. 2025 May 7;60:111615. doi: 10.1016/j.dib.2025.111615. eCollection 2025 Jun.
The bacterium (Xf) is a plant pathogen first identified in Europe in 2013, specifically in olive groves in the Apulia region (south-eastern Italy). It is now spreading across the Mediterranean basin and poses a serious threat to the local economy by causing branch desiccation and the rapid death of olive trees, a condition known as olive quick decline syndrome (OQDS). Several studies have investigated the potential of remote sensing (RS) technology to monitor OQDS over time and space; however, accurate and reliable data on OQDS occurrence remain scarce. To enhance the distribution data of Xf-infected trees in the Apulia region, we investigated an infection hotspot of 25 km² area in the province of Brindisi, where records of infections were documented in 2019 and 2020. Three very high resolution, commercial WorldView-2 images were acquired and segmented, resulting in a dataset of 76637 olive trees. Through visual interpretation, 2340 trees were identified most likely as either infected or removed due to OQDS. This dataset provides a valuable resource for developing or validating RS techniques for early detection of OQDS. Furthermore, it could support studies aimed to evaluate spectral bands or indices most correlated with infection presence. Finally, the dataset can be integrated with other Xf-infection presence data to support species distribution model studies.
这种细菌（Xf）是一种植物病原体，2013年首次在欧洲被发现，具体是在普利亚地区（意大利东南部）的橄榄园中。它目前正在地中海盆地蔓延，通过导致树枝干枯和橄榄树迅速死亡，对当地经济构成严重威胁，这种情况被称为橄榄快速衰退综合征（OQDS）。几项研究调查了遥感（RS）技术在时空上监测OQDS的潜力；然而，关于OQDS发生情况的准确可靠数据仍然稀缺。为了增强普利亚地区感染Xf的树木的分布数据，我们调查了布林迪西省一个面积为25平方公里的感染热点地区，该地区在2019年和2020年有感染记录。获取并分割了三张分辨率非常高的商业WorldView-2图像，得到了一个包含76637棵橄榄树的数据集。通过目视判读，确定了2340棵树木很可能因OQDS而被感染或移除。该数据集为开发或验证用于早期检测OQDS的RS技术提供了宝贵资源。此外，它可以支持旨在评估与感染存在最相关的光谱波段或指数的研究。最后，该数据集可以与其他Xf感染存在数据整合，以支持物种分布模型研究。
