Winter wheat identification using multi-temporal ENVISAT ASAR data — A case study at Tongzhou district, Beijing

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.