Decision tree classification is a kind of classification model which uses certain classification rules to gradually thin the research image.It has been widely used for information extraction from remote sensing images due to its goodness of intuitive and high efficiency.Jiaodong Peninsula is one of the most famous areas in China for the production of fruits;therefore,it is very significant to monitor the distribution of orchards.In this paper,the decision tree classification was used to extract the area of orchard in Jiaodong Peninsula.Specifically,Landsat5 TM image（path120 row034,October24,2005） was available and five most representative cities（Penglai,Longkou,Laizhou,Qixia,Zhaoyuan） were selected as the study area.It turned out that the decision tree classification had satisfactory performance,the classification results were acceptable and could be used as the original inputs for related researches.
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