抄録
In order to validate the availability of rbNDVI (red and blue Normalized Difference Vegetation Index) for chlorophyll estimation, we conducted estimation of leaf chlorophyll concentration at heading to anthesis stage which highly correlates with grain protein concentration using ground-based and aerial hyperspectral data at agriculture fields in Gifu prefecture. In the ground measurement, rbNDVI showed high correlation (γ2=0.731) with leaf chlorophyll concentration compared to widely used NDVI (Normalized Difference Vegetation Index; γ2=0.231) and TCARI/OSAVI (Transformed Chlorophyll Absorption in Reflectance Index/Optimized Soil-Adjusted Vegetation Index; γ2=0.333), and the estimate equation is able to applied in the different study site (Root Mean Square Error: RMSE=2.54μg cm-2) . In the aerial scale, rbNDVI also showed good result in chlorophyll estimation (2006: γ2=0.427, 2007: γ2=0.447, RMSE=4.18μg cm-2) using atmospheric correction of 6S code and reflectance matching method. According to these results, the spatial distribution map of chlorophyll concentration was created. The spatial distribution map of chlorophyll concentration using rbNDVI may provide the useful information for additional fertilization aim to the improvement of the grain protein concentration over the large area.
