ANALYSIS OF LAND COVER CHANGE IN MOROWALI USING LANDSAT 8 SATELLITE IMAGERY AND UNSUPERVISED CLASSIFICATION METHOD

Benedictus Lanang Ido Hernanto; Hendry Hendry

doi:10.53625/ijss.v5i2.10997

Authors

Benedictus Lanang Ido Hernanto Program Studi Teknik Informatika, Fakultas Teknologi Informasi, Universitas Kristen Satya Wacana
Hendry Hendry Program Studi Teknik Informatika, Fakultas Teknologi Informasi, Universitas Kristen Satya Wacana

DOI:

https://doi.org/10.53625/ijss.v5i2.10997

Keywords:

Land Cover Change, Landsat 8, Unsupervised Classification, Land Use, Geospatial

Abstract

Land use changes reflect the ecological and socio-economic dynamics of a region. This study aims to analyze land cover changes using Landsat 8 satellite imagery with the unsupervised classification method. Land cover is categorized into five classes: light vegetation, dense vegetation, rice fields, plantations, and settlements and mining areas. The analysis was conducted by comparing data from 2013 and 2018. The results indicate a significant increase in the area of mining and settlements by 71.60 km² and 476.88 km², respectively. Conversely, the area of rice fields and light vegetation decreased by 1117.93 km², natural canopy decreased by 672.03 km², and plantations decreased by 524.84 km². These findings indicate land conversion from natural vegetation to non-vegetative areas due to mining industry expansion and settlement growth. This study provides valuable insights for more sustainable land-use planning in the future

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