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首页> 外文会议>Proceedings of joint international agricultural conference (JIAC 2009) >ACQUISITION AND ANALYSIS OF WHEAT GROWTH INFORMATION USING SATELLITE AND AERIAL VEHICLE IMAGERIES
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ACQUISITION AND ANALYSIS OF WHEAT GROWTH INFORMATION USING SATELLITE AND AERIAL VEHICLE IMAGERIES

机译：利用卫星和航空影像获取和分析小麦生长信息

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The objective of this study was to develop a reliable field monitoring system combining helicopter-based and satellite-based remote sensing. Usually, unmanned helicopters are used for spraying agricultural chemicals. In this research, by removing a sprayer and a tank, and then helicopter-based remote-sensing system was developed. Since an ambient illumination (AI) sensor is installed, the effect of atmospheric condition to the satellite image can be compensated. The normalized difference vegetation index (NDVI) of satellite imagery was transformed to reflectance using the images taken by the unmanned helicopter. In addition, the images taken by the helicopter were also used for calibration of satellite imagery. In this research, we used the multi-spectral imageries taken by SPOT5, QuickBird-2 and helicopter. These imageries were synchronously taken. As every vision sensor covers the same wavelength range and takes same objects, the color information of the satellite and helicopter images could be integrated. In the research the relation of the information on NDVI was examined. NDVI is the value which used red and NIR. There is high correlation between satellite-based NDVI and helicopter-based NDVI. Therefore, it is possible to do revision of the color information on the relative satellite imageries in using helicopter imageries. Next, the correlation between helicopter-based NDVI and ear moisture content of wheat was examined. Ear moisture content is important for judgement field status and making decision of harvest order. The data of NDVI and ear moisture content was collected in last three years. The estimation model was very similar to each year. Therefore it was possible to relate helicopter-based NDVI and ear moisture content as a pair to have an estimation model with less reference data. Using these color information, the crop status (ear moisture content of wheat) can be estimated. Combined helicopter-based NDVI and satellite-based NDVI, estimation error became relatively low. Therefore, the combination of helicopter imageries and satellite imageries are useful for the improvement of the estimated accuracy of the ground resolution. This helicopter-based system will contribute to enhance the satellite-based remote sensing.
机译：这项研究的目的是开发一种可靠的现场监视系统，该系统结合了基于直升机和基于卫星的遥感技术。通常，无人直升机用于喷洒农药。在这项研究中，通过去除喷雾器和水箱，然后开发了基于直升机的遥感系统。由于安装了环境照明（AI）传感器，因此可以补偿大气条件对卫星图像的影响。使用无人直升机拍摄的图像将卫星图像的归一化植被指数（NDVI）转换为反射率。此外，直升机拍摄的图像还用于校准卫星图像。在这项研究中，我们使用了SPOT5，QuickBird-2和直升机拍摄的多光谱图像。这些图像是同步拍摄的。由于每个视觉传感器都覆盖相同的波长范围并拍摄相同的物体，因此可以集成卫星和直升机图像的颜色信息。在研究中，研究了有关NDVI信息的关系。 NDVI是使用红色和NIR的值。基于卫星的NDVI和基于直升机的NDVI之间存在高度相关性。因此，可以在使用直升机图像时对有关卫星图像上的颜色信息进行修正。接下来，研究了基于直升机的NDVI与小麦穗含水量之间的相关性。耳朵的水分含量对于判断田间状态和决定收获顺序很重要。最近三年收集了NDVI和耳朵水分含量的数据。估算模型与每年非常相似。因此，有可能将基于直升机的NDVI和耳朵的水分含量结合在一起，从而获得具有较少参考数据的估算模型。使用这些颜色信息，可以估算作物状态（小麦的穗含水量）。结合基于直升机的NDVI和基于卫星的NDVI，估计误差变得相对较低。因此，直升机图像和卫星图像的组合对于提高地面分辨率的估计精度很有用。这种基于直升机的系统将有助于增强基于卫星的遥感。

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