New tasseled cap classification technique using landsat-8 OLI Image bands

Other Title(s)

تقنية جديدة للتصنيف بالاعتماد على تحويل الغطاء الخضري

Joint Authors

Salman, Sulaymah Sultan
Ali, Salih Mahdi

Source

Iraqi Journal of Science

Issue

Vol. 57, Issue 2C (30 Jun. 2016), pp.1612-1619, 8 p.

Publisher

University of Baghdad College of Science

Publication Date

2016-06-30

Country of Publication

Iraq

No. of Pages

8

Main Subjects

Astronomy
Physics

Topics

Abstract EN

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.

American Psychological Association (APA)

Ali, Salih Mahdi& Salman, Sulaymah Sultan. 2016. New tasseled cap classification technique using landsat-8 OLI Image bands. Iraqi Journal of Science،Vol. 57, no. 2C, pp.1612-1619.
https://search.emarefa.net/detail/BIM-699683

Modern Language Association (MLA)

Ali, Salih Mahdi& Salman, Sulaymah Sultan. New tasseled cap classification technique using landsat-8 OLI Image bands. Iraqi Journal of Science Vol. 57, no. 2C (2016), pp.1612-1619.
https://search.emarefa.net/detail/BIM-699683

American Medical Association (AMA)

Ali, Salih Mahdi& Salman, Sulaymah Sultan. New tasseled cap classification technique using landsat-8 OLI Image bands. Iraqi Journal of Science. 2016. Vol. 57, no. 2C, pp.1612-1619.
https://search.emarefa.net/detail/BIM-699683

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references : p. 1619

Record ID

BIM-699683