2017 年 37 巻 3 号 p. 213-223
Satellite-based remote sensing would provide useful geo-information for the information-based agricultural management (Smart Agriculture). This paper reviews the background and information needs for smart agriculture as well as the necessary sensor specifications and algorithms for application of high-resolution satellites to smart agriculture. The generalized spectral index approach based on hyperspectral data can be used to determine optimal algorithms for prediction of plant and soil variables. This approach would be useful to enhance the applicability of optical satellite sensors that have different waveband specifications. The efficient use of high-resolution satellite sensors would strongly support the diagnostics and decision making in smart agriculture at regional scales.