ENVISAT ASAR DATA FOR AGRICULTURE MAPPING IN ZHANGZHOU, FUJIAN PROVINCE, CHINA

摘要

This paper investigates the potential of ENVIS AT ASAR data for agriculture crop mapping. The multi-temporal ASAR data with different polarization are used. The study area is located in Zhangzhou, Fujian province, China. Based on the analysis of radar signature of different land cover, crop types like rice, water bamboo and banana are classified using object oriented classifier. Compared to the field survey data, the accuracy of rice, banana and water bamboo in study area is more than 80%. The object oriented classifier is suitable for SAR data classification.