Derivation of Multitemporal Kauth-Thoms Transformation for GF-2 mIHS Pansharpening Digital Number Data

Gaofen 2 (GF-2) high spatial resolution imagery has been recognized as an important data source for mapping vegetation pattern dynamics. The Kauth-Thomas (KT) indices of brightness, greenness, and wetness derived from single-date imagery has also been proved to be better than the common vegetation indices in monitoring the vegetation, mapping land desertification, and classifying land covers. However, for change detection of vegetation status, multitemporal Kauth-Thomas (MKT) transformation is found to be a more effective approach. In this paper, the parameters defining the KT dimensions for single-date mIHS pansharpeniing GF-2 data (acquired on April 30, 2016) were derived. Then, the MKT transformation matrix was proposed using a linear transformation process, which could be applied to GF-2 digital number image data for detecting vegetation pattern dynamics in the future.

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