New Tasseled Cap Classification Technique using Landsat-8 OLI Image Bands | ||
| Iraqi Journal of Science | ||
| Article 1, Volume 57, Issue 2, March 2016, Pages 1612-1619 | ||
| Authors | ||
| S.M. Ali; S.S. Salman | ||
| Abstract | ||
| The tasseled cap transformation (TCT) is a useful tool for compressing spectral data into a few bands associated with physical scene characteristics with minimal information loss. TCT was originally evolved from the Landsat multi-spectral scanner (MSS) launched in 1972 and is widely adapted to modern sensors. In this study, we derived the TCT coefficients for operational land imager (OLI) sensor on-board Landsat-8 acquired at 28 Sep.2013. A newly classification method is presented; the method is based on dividing the scatterplot between the Greenness and the Brightness of TCT into regions corresponding to their reflectance values. The results from this paper suggest that the TCT coefficient derived from the OLI bands at September is the most appropriate for harness these features to calculate the acreage of rice and compare them with the declared areas by the Iraqi Ministry of Agriculture to make sure of their accuracy. | ||
| Keywords | ||
| Tasseled Cap Transformation; Greenness coefficient; Brightness coefficient | ||
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