文献类型：会议论文

英文题名：WINTER WHEAT IDENTIFICATION USING MULTI-TEMPORAL ENVISAT ASAR DATA - A CASE STUDY AT TONGZHOU DISTRICT, BEIJING

作者：Bai Lina[1] Wang Bengyu[1] Tian Xin[1] Lu Ying[1] Yang Yongtian[]

第一作者：Bai Lina

通信作者：Bai, LN[1]|[a0005ee7aab506ea5a296]白黎娜;

机构：[1]Chinese Acad Forestry, Res Inst Forest Resources Informat Tech, Beijing 100091, Peoples R China

会议论文集：IEEE International Geoscience and Remote Sensing Symposium (IGARSS)

会议日期：JUL 22-27, 2012

会议地点：Munich, GERMANY

语种：英文

外文关键词：ENVISAT ASAR Data; Winter Wheat; Multi-Temporal Filter; Classification and Identification

年份：2012

摘要：ENVISAT ASAR data has been intensively studied in the applied research of rice identifying and mapping. However, the application of ENVISAT ASAR data is still underdeveloped in the field of wheat identifying and mapping. This paper introduces the model of applying ENVISAT ASAR data in the identification of winter wheat based on a case study in Tongzhou district, Beijing. Hierarchical classification method had been adopted. With a total accuracy of 82.64% for wheat/non-wheat classification, the result shows that ENVISAT ASAR data can be applied not only to rice mapping in South China but also to the identification of winter wheat in Northern China.