LAND COVER CLASSIFICATION WITH OBIA METHOD (OBJECT BASED IMAGE ANALYSIS) IN PADANGWEST DISTRICT, PADANG CITY

  • Rania Salsabila Student of D3 Remote Sensing Technology Study Program, Faculty of Social Sciences, Universitas Negeri Padang
  • Sri Kandi Putri Lecturer of D3 Remote Sensing Technology Study Program, Faculty of Social Sciences, Universitas Negeri Padang
  • Fitriana Syahar Lecturer of D3 Remote Sensing Technology Study Program, Faculty of Social Sciences, Universitas Negeri Padang
  • Dedy Fitriawan Lecturer of D3 Remote Sensing Technology Study Program, Faculty of Social Sciences, Universitas Negeri Padang
DOI: https://doi.org/10.24036/irsaj.v4i2.50
Keywords: OBIA, , Land Cover, SPOT 7

Abstract

High population growth has an impact on the development of a region. Therefore, the need for the latest information regarding land cover obtained through data processing using remote sensing techniques. This land cover monitoring utilizes object-based SPOT 7 satellite imagery data (OBIA) in West Padang District, Padang City. This research was conducted with the aim of knowing the level of accuracy of the OBIA method in land cover classification on SPOT 7 Imagery. The OBIA method consists of two stages, namely segmentation and classification with the Train Maximum Likelihood Classifier algorithm. In this study, there were 10 land cover classifications and resulted in an overall accuracy of 95% and a kappa accuracy of 94%.

Published
2023-12-25
How to Cite
Salsabila, R., Putri, S., Syahar, F., & Fitriawan, D. (2023). LAND COVER CLASSIFICATION WITH OBIA METHOD (OBJECT BASED IMAGE ANALYSIS) IN PADANGWEST DISTRICT, PADANG CITY. International Remote Sensing Applied Journal, 4(2), 70-76. https://doi.org/10.24036/irsaj.v4i2.50
Issue
Vol 4 No 2 (2023): International Remote Sensing Application Journal (December Edition 2023)
Section
Articles

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