Extract agricultural land use information from remote sensing image based on object-oriented classification algorithm

On the research of agricultural Non-point source pollution, agricultural land use data is the most important basic information, it´s hard to obtain by statistical means and it update frequently. By the help of remote sensing image and information extraction techniques, agricultural land use information can be extracted with low-cost and fast and accurately. In this study, we established index system of agricultural land use classification in line with agricultural non-point source pollution, and use the Japanese ALOS satellite as a data source, extract agricultural land use information of Chongming Island by object-oriented remote sensing image classification algorithm. After a wild field verification, classification accuracy can meet agricultural nonpoint source pollution requirements.