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
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
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