Preliminary study of discrimination of sugarcane in Guangxi with HJ-1-A, B data

Abstract

A, B satellite data were pretreated, on board the Environment and disaster monitoring and forecasting satellite of China. The research carries out a series of steps to discriminate sugarcane, selects the sugarcane plots and samples, analyses the spectral characteristics, classifies the satellite data with decision tree classification and supervised classification, the plantation data of Guangxi base library of remote sensing information and slope data as ancillary. The comparison between information from Remote sensing discrimination and official statistics shows that combination of decision tree classification and supervised classification method can effectively discriminate sugarcane. © Springer-Verlag 2012.