Making Of Classification Land Cover Through Result Of Visual Data Satellite Image Analysis Landsat 8 OLI : Case Study in Tapaktuan District, South Aceh District

  • Safridatul Audah Politeknik Aceh Selatan
  • Muharratul Mina Rizky Politeknik Aceh Selatan
  • Lindawati Universitas Abulyatama Aceh
Keywords: Tapaktuan, Classification, Land cover, Landsat-8 OLI


Tapaktuan is the capital and administrative center of South Aceh Regency, which is a sub-district level city area known as Naga City. Tapaktuan is designated as a sub-district to be used for the expansion of the capital's land. Consideration of land suitability is needed so that the development of settlements in Tapaktuan District is directed. The purpose of this study is to determine the level of land use change from 2014 to 2018 by using remote sensing technology in the form of Landsat-8 OLI satellite data through image classification methods by determining the training area of the image which then automatically categorizes all pixels in the image into land cover class. The results obtained are the results of the two image classification tests stating the accuracy of the interpretation of more than 80% and the results of the classification of land cover divided into seven forms of land use, namely plantations, forests, settlements, open land, and clouds. From these classes, the area of land cover change in Tapaktuan is increasing in size from year to year.


Download data is not yet available.


Maksum, Z., et. al. (2016)., Perbandingan Klasifikasi Tutupan Lahan Menggunakan Metode Klasifikasi berbasis Objek dan Klasifikasi Berbasis Piksel Pada Citra Resolusi Tinggi dan Menengah. Jurnal Geodesi Undip. Vol. 5., No. 2. ISSN. 2337 – 845X.

Coffey, R., 2013. The Difference Between “Land Use” and “Land Cover”. cover. accessed on 8-9-2015

Audah, S., and Nazliati., (2018),Utilization of Satellite Landsat-8 Operational Land Imager (OLI) for Land Cover Classification Nutmeg Plantation Tapaktuan Sub-District., Jurnal Inovasi Teknologi dan Rekayasa, Vol. 3., No.1. 23-28.

Audah, S., Nazliati., et. al., (2019), Visual Analysis of Satellite Landsat Images Multitemporal and GPS as a Geographic Information System for Mapping of Nugmet Plantations in Tapaktuan., IOP Conference Series: Materials Science and Engineering, Vol. 506, No.1., doi:10.1088/1757899X/506/1/012037.

Audah, S., Mislina, Afdal, M. M. Rizky., (2020), Identification of Land Use Coverage through Ground Check GPS Data (Case Study in Tapaktuan District)., Jurnal Inovasi Teknologi dan Rekayasa, ol. 5, no. 1, pp. 6-11,

Lillesand, T.M. dan R.W. Kiefer. (2007)., Penginderaan Jauh dan Interpretasi Citra. Diterjemahkan oleh Dulbahri. Gadjah Mada University Press: Yogyakarta.

Herold, M., dan Scepan, J. (2002). Object-Oriented Mapping and Analysis of Urban Land Use/Cover Using IKONOS Data. Proceedings of 22nd EARSEL Symposium Geoinformation for European-wide integration: Prague

Hansen MC, Defries RS, Townshend JRG, Sohlberg R., (2000)., Global land cover classification at 1 km spatial resolution using a classification tree approach. International Journal of Remote Sensing. 21: 1331-1364.

Liu JY, Zhuang DF, Luo D, Xiao X., (2003)., Land-cover classification of China: integrated analysis of AVHRR imagery and geophysical data. International Journal of Remote Sensing. 24:2485-2500.

Gumma MK, Thenkabail PS, Hideto F, Nelson A, Dheeravath V, Busia D, Rala A., (2011), Mapping irrigated areas of Ghana using fusion of 30 m and 250 m resolution remote sensing data. Remote Sensing. 3: 816-835.

Zhou, W., Troy, A., and Grove, M. (2008)., Objectbased Land Cover Classification and Change Analysis in the Baltimore Metropolitan Area Using Multitemporal High Resolution Remote Sensing Data. Sensors, 8: 1613−1636.

Elshrkawy, A., Elhabiby, M., and El-Sheimy, N. (2012). New Combined Pixel/Object-Based Technique for Efficient Urban Classsification Using Worldview-2 Data. International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Volume XXXIX-B7: Melbourne

Muchsin. F., et. al., (2017)., Model Koreksi Atmosfer Citra Landsat-7., Jurnal Penginderaan Jauh. Vol.14. No.2. Desember. Hal 101 – 110.

How to Cite
S. Audah, M. M. Rizky, and Lindawati, “Making Of Classification Land Cover Through Result Of Visual Data Satellite Image Analysis Landsat 8 OLI : Case Study in Tapaktuan District, South Aceh District ”, JI, vol. 6, no. 1, pp. 59-65, Apr. 2021.