Shota Yamaguchi
A study on verification of ground observation spectral information and satellite data of paddy rice in growing season
Atsushi Rikimaru Kenta Sakata Kazuyoshi Takahashi
Growth research are performed on site can do the research to detail of paddy rice, but it is difficult to diagnose all field of paddy field which are distributed widely. Therefore it is thought that a combination with the wider area analysis by the satellite remote sensing is effective. In addition, as the basic step, there is a need to understand the relationship of the ground observation and satellite observation data of paddy rice. In this research, it has acquired the spectral characteristics of growing season paddy rice using a hyperspectral camera. And it acquired the satellite observation data by using the OLI sensor and ETM plus sensor. Satellite observation data is Mixed Pixel Data, therefore the difference between the spectral information to be observed is caused by ground observations and satellite observations. Therefore, the spectral information and satellite observation information of paddy rice by the ground-based observations in consideration of percentage of vegetation cover was aimed at verification.
In this research, Focusing on the characteristics of visible range red and near infrared changes in paddy rice and used the vegetation index DVI (Difference Vegetation Index), which is the difference of the near-infrared and red region. Estimated paddy field DVI is the product of percentage of vegetation cover in paddy rice DVI of the ground observations. In the early stage of growth, estimated paddy field DVI and satellite observation DVI has been found that generally show the same change trend. In the late stage of growth, the difference between the estimated paddy field DVI and satellite observation DVI increases. And high correlation was observed with an estimated paddy field DVI and grass height and the number of stems of the early stage of growth. From these, it may be broadly understood, the growth of paddy rice at the early stage of growth using a satellite observation information was suggested.
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