ACQUISITION AND ANALYSIS OF WHEAT GROWTH INFORMATION USING SATELLITE AND AERIAL VEHICLE IMAGERIES
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.
remote sensing unmanned helicopter satellite spectral resolution precision agriculture
Issei Han-ya Kazunobu Ishii Noboru Noguchi
Graduate School of Agriculture,Hokkaido University,Kita-9 Nishi-9,Kita-ku,Sapporo060-8589,Japan. Graduate School of Agriculture,Hokkaido University,Kita-9 Nishi-9,Kita-ku,Sapporo 060-8589,Japan.
国际会议
北京
英文
1-6
2009-10-14（万方平台首次上网日期，不代表论文的发表时间）