Abstract
In arid and semi-arid areas, vegetation often exists in patches attributed to water-limited or salinized environments or local microtopography. The quasi-circular vegetation patches (QVPs) distributed in the Yellow River Delta, China have been accepted more attentions because they are ideal for studies on spontaneous plant colonization. In this study, the method based on the tasseled cap brightness and greenness components derived from the July CBERS-04 image with the decision tree classifier was developed for quickly and successfully detecting the QVPs. The precision, recall rate, and F-measure were 60.3%, 56.8%, and 58.5%, respectively. In the future, the time series tasseled cap components are needed to improve the detection accuracy.
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