Fusion of remotely sensed data from airborne and ground-based sensors to enhance detection of cotton plants

► Data fusion of ground and airborne remote sensing data for distinguishing crops. ► Discriminant analyses on imagery, radiometer data, and fused data from both sensors. ► Fused dataset performed better than did the dataset using a single sensor alone. ► Data fusion can be an effective tool for detecting cotton plants. ► The method may be extended to the fusion of other data types for agricultural study.