Title of article
New Tasseled Cap Classification Technique using Landsat-8 OLI Image Bands
Author/Authors
ali, s.m. university of baghdad - college of science - department of remote sensing, Iraq , salman, s.s. university of baghdad - college of pharmacy - department of clinical laboratory science, Iraq
From page
1612
To page
1619
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
Journal title
Iraqi Journal Of Science
Journal title
Iraqi Journal Of Science
Record number
2639462
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