DETERMINATION OF PLANTING CROPS USING SATELLITE DATA AT SHONAI PLAIN IN JAPAN

摘要

GEOGLAM covers the four major cereals of wheat, soybean, corn and rice. Rice is producing and consuming in Asia about 90% of the whole world. The Asian Space Agency and Asian Agricultural Organizations built Asia-RiCE (Asia-Rice Crop Estimation and Monitoring initiative) at framework of GEOGLAM. Shonai Plain was set up as a test field area in Japan. At beginning work, we try to determination of planted crops using satellite data. Recently, in Asian countries. GIS is spread widely and agricultural field polygon is commonly used. Crop determination using the po lygon is becoming popular. Normally, fields are used without changing, but sometimes, one field is divided two or three fields, and two or three fields are integrated one field. It is necessary to overlay satellite image and the polygon, and to check with fitting or not. In case of mismatch, field polygon must be corrected. Simultaneously with this confirmation work for each field polygon, the optical satellite data were classified as water surface 'water', vegetation as 'vegetation', bare soil as 'soil' and 'cannot determination'. In the SAR image, we classify 4 degrees, as small scattering of the water surface '0', scattering slightly larger than the water surface ' 1'. larger than the water surface '2', and large scattering '3'. The crop determination is performed according to the following standard using to the time series data Rice: Almost water surface at rice planting time and following several weeks. In summer, there is large vegetation. Wheat: There is large vegetation at rice planting time, and small vegetation at summer. Soybean: There is small vegetation at rice planting time, and large vegetation in summer. Grasses: There is large vegetation at rice planting time and at summer. Using this evaluation criteria, we performed the crop classifications in Shonai Pain, and the correct answer rates are more than 95%