Interpretation of agricultural characteristics in Japan and the world using satellite data

Abstract

The interpretations of agricultural characteristics were performed in Japan and the world using satellite data. For the interpretation, we use color image of SWIR. Paddy has the characteristics of flooding, and this phenomenon was easily detecting the color image. Upland-farming fields are determined by the characteristics for mixing vegetated and non-vegetated fields because crop rotation systems are developed at upland farming fields. Grasslands have the color of light green and yellow green at the color image of SWIR, and broadleaf forests have almost same color. For the reason, it is difficult to divide broadleaf forest and upland farming field. L band Synthetic Aperture Radar (SAR) has the ability to divide the forests and the fields. The forests have high back scattering coefficient and the fields have low coefficient. Grasslands are easily extracted using Color image of SWIR and L-band SAR image.