Click on “Download PDF” for the PDF version or on the title for the HTML version.

If you are not an ASABE member or if your employer has not arranged for access to the full-text, Click here for options.

Recently, the satellite imageries were interested for the environment monitoring. In order to estimate soil state and the crop growth from satellite imagery, grand truth data measured at the point were usually used for calibration. Although the resolution of the satellite imagery is improving in recent years, there is a difference of imagery resolution between grand truth and satellite imagery. It causes one of the reasons of calibration errors. Moreover, an acquired satellite image contains mixel which has crops and soil data in a same pixel. In this mixel, it is difficult to separate color information and vegetation density. On the other hand, the imagery acquired by an unmanned helicopter can indicate the crop state from color information and vegetation density in precisely, because it can acquire the higher resolution imageries than satellite imageries. From these backgrounds, this study aims to develop the environment monitoring system that was precisely and could be adapted to wide area using a satellite imagery calibrated by estimated value from unmanned helicopter imagery.