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October 15, 2025Engineering headway

Object-Based Image Analysis for LULC Change Detection: Impact of Yogyakarta International Airport Development

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Authors

YOYana OktavianaUniversitas Gadjah MadaABAbdul BasithUniversitas Gadjah Mada

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Implication

This research demonstrates significant land cover changes in Temon District due to the Yogyakarta International Airport development, highlighting the role of remote sensing.

Key Points

  • The study observed a significant reduction of 537 hectares in paddy fields from 2016 to 2021 due to urban expansion.
  • Object-based classification achieved 80% accuracy for 2016 and 86% for 2021 images, validating the method's effectiveness.
  • Remote sensing data revealed a dramatic shift from agricultural land to built-up areas, particularly in Temon District.
  • This analysis emphasizes the importance of monitoring land use changes as infrastructure projects develop.

Cite This Study

Oktaviana et al. (2025) studied this question.

synapsesocial.com/papers/68efd921056559ef428773a8https://doi.org/10.4028/p-y0uq4p
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