International remote sensing application journal
Vol 4 No 2 (2023): International Remote Sensing Application Journal (December Edition 2023)

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

Salsabila, Rania (Unknown)
Putri, Sri Kandi (Unknown)
Syahar, Fitriana (Unknown)
Fitriawan, Dedy (Unknown)

Article Info

Publish Date
25 Dec 2023

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%.

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Journal Info
International remote sensing application journal
Website

Abbrev

IRSAJ

Publisher

Universitas Negeri Padang

Subject

Astronomy Computer Science & IT Earth & Planetary Sciences Education

Description

This journal covers the scope of remote sensing which includes: (1) data acquisition; (2) processing data; (3) data storage and distribution; (4) application and utilization of information from remote sensing data. The focus of this journal includes: 1. Remote sensing applications 2. Multi-spectral ...