Testing the red edge channel for improving land-use classifications based on high-resolution multi-spectral satellite data
The incorporation of a red edge channel in multi-spectral satellite sensors has potential for improving land-use classification, as the related electromagnetic spectrum is specifically sensitive to vegetation chlorophyll content. RapidEye is the first high-resolution multi-spectral
satellite system that operationally provides a red edge channel. The objective of this study is to test the potential of the RapidEye red edge channel for improving the classification of land use, investigated at a study site west of Berlin. Based on a scene from July 2009, supervised land-use
classifications were performed using different sets of spectral feature input, including and excluding red edge information. The algorithms used are support vector machine and maximum likelihood. The results indicate that the incorporation of red edge information can increase classification
accuracy. The highest positive effects are observed for vegetation classes in open landscapes, e.g. for bush vegetation.
Document Type: Research Article
Affiliations: Department of Geoinformation in Environmental Planning,Technical University of Berlin, 10623,Berlin, Germany
Publication date: 10 September 2012
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