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首页> 外文会议>Conference on Remote Sensing for Agriculture, Ecosystems, and Hydrology >Disease detection in sugar beet fields: a multi-temporal and multi-sensoral approach on different scales
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Disease detection in sugar beet fields: a multi-temporal and multi-sensoral approach on different scales

机译：甜菜田间疾病检测：不同尺度的多时间和多传感器方法

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Depending on environmental factors fungal diseases of crops are often distributed heterogeneously in fields. Precision agriculture in plant protection implies a targeted fungicide application adjusted these field heterogeneities. Therefore an understanding of the spatial and temporal occurrence of pathogens is elementary. As shown in previous studies, remote sensing techniques can be used to detect and observe spectral anomalies in the field. In 2008, a sugar beet field site was observed at differentgrowth stages of the crop using different remote sensing techniques. The experimental field site consisted of two treatments. One plot was sprayed with a fungicide to avoid fungal infections. In order to obtain sugar beet plants infected with foliar diseases the other plot was not sprayed. Remote sensing data were acquired from the high-resolution airborne hyperspectral imaging ROSIS in July 2008 at sugar beet growth stage 39 and from the HyMap sensor systems in August 2008 at sugar beet growth stage 45, respectively. Additionally hyperspectral signatures of diseased and non-diseased sugar beet plants were measured with a non-imaging hand held spectroradiometer at growth stage 49 in September. Ground truth data, in particular disease severity were collected at 50 sampling points in the field. Changes of reflection rates were related to disease severity increasing with time. Erysiphe betae causing powdery mildew was the most frequent leaf pathogen. A classification of healthy and diseased sugar beetsin the field was possible by using hyperspectral vegetation indices calculated from canopy reflectance.
机译：根据环境因素，农作物的真菌疾病通常在田地中经过异均匀分布。植物保护中的精密农业意味着靶向杀菌剂应用调整了这些现场异质性。因此，理解病原体的空间和时间发生是基本的。如先前的研究中所示，遥感技术可用于检测和观察场中的光谱异常。 2008年，使用不同的遥感技术，在作物的不同阶段观察甘蔗野野现场。实验场地由两种治疗组成。用杀真菌剂喷雾一种曲线以避免真菌感染。为了获得感染叶面疾病的糖甜菜植物，其他图没有喷涂。遥感数据于2008年7月在糖甜菜生长阶段39和2008年8月在糖甜菜生长阶段45中获取高分辨率空气的高光谱成像ross。另外，患病和非患病甜菜植物的Hyperspectral签名用在9月的生长阶段49中的非成像手持光谱辐射器测量。地面真理数据，特别是疾病严重程度在该领域的50个采样点收集。反射率的变化与随时间增加的疾病严重程度有关。导致粉末状霉菌的酸酐是最常见的叶片病原体。通过使用从冠层反射率计算的高光谱植被指数，可以进行健康和患有患者甜菜甜菜的分类。

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