UMP Institutional Repository

Land Cover Classification Using Landsat Data (Study Area: Pekan District, Pahang State, Malaysia)

Mohamad Eliyass, Jamaruppin and Bayuaji, Luhur and Pebrianti, Dwi (2015) Land Cover Classification Using Landsat Data (Study Area: Pekan District, Pahang State, Malaysia). In: 4th International Conference on Software Engineering and Computer Systems (ICSECS'15), 19-21 August 2015 , Kuantan, Pahang. pp. 1-5.. (Unpublished)

[img] PDF
Land Cover Classification Using Landsat Data (Study Area- Pekan District, Pahang State, Malaysia).pdf
Restricted to Repository staff only

Download (1MB) | Request a copy

Abstract

In order to investigate the terrain changed in areas of urban, vegetation, bare land, and water type mapping in Pekan, Pahang of Malaysia using Landsat data. The data of a district of educational and research on years 2000 and 2013, were analyzed. First, will evaluating the quality of the image of Landsat data. There were no obvious errors noticeable on the geometric and radiometric. In order to estimate the accuracy of the map derived from classification, a ground truth map was prepared using strip sampling on map. Image classification was performed using original and synthetic bands for following four land types: urban, water, bare land, vegetation, and cloud types. Classification was performed using maximum likelihood (ML). The highest accuracy was obtained by using ML classifier.According to the results of this study, the spectral data of Landsat data have a large potential for land type mapping in Pekan area mapping.

Item Type: Conference or Workshop Item (Speech)
Uncontrolled Keywords: Land cover; classification; Landsat; Operational Land Imager; Region of Interest; Pekan Pahang
Subjects: Q Science > QA Mathematics > QA76 Computer software
T Technology > TK Electrical engineering. Electronics Nuclear engineering
Faculty/Division: Faculty of Computer System And Software Engineering
Faculty of Electrical & Electronic Engineering
Depositing User: Mrs. Neng Sury Sulaiman
Date Deposited: 15 Oct 2015 00:49
Last Modified: 02 May 2018 02:57
URI: http://umpir.ump.edu.my/id/eprint/10494
Download Statistic: View Download Statistics

Actions (login required)

View Item View Item