Vol. 15 No. 3 (2024):
Review Article

Tracking Urban Sprawl: A Systematic Review and Bibliometric Analysis of Spatio-Temporal Patterns Using Remote Sensing and GIS

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  • Mohammad Raditia Pradana,
  • Muhammad Dimyati
Mohammad Raditia Pradana
Department of Geography, Faculty of Mathematics and Natural Sciences, Universitas Indonesia, Depok, Indonesia
Muhammad Dimyati
Department of Geography, Faculty of Mathematics and Natural Sciences, Universitas Indonesia, Depok, Indonesia
Bibliometric result for country scientific production and collaboration
DOI: https://doi.org/10.48088/ejg.m.pra.15.3.190.203
Categories

Published 2024-09-07

Keywords

  • bibliometric,
  • geographic information system,
  • landsat,
  • remote sensing,
  • urban sprawl,
  • systematic literature review
    • ...More
    Less

How to Cite

Pradana, Mohammad Raditia, and Muhammad Dimyati. 2024. “Tracking Urban Sprawl: A Systematic Review and Bibliometric Analysis of Spatio-Temporal Patterns Using Remote Sensing and GIS”. European Journal of Geography 15 (3):190-203. https://doi.org/10.48088/ejg.m.pra.15.3.190.203.

Copyright (c) 2024 Mohammad Raditia Pradana, Muhammad Dimyati

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

Received 2024-06-13
Accepted 2024-09-06
Published 2024-09-07

Abstract

The urban sprawl phenomenon refers to the expansion of urban areas driven by high population growth and migration. A spatio-temporal approach is indispensable in urban sprawl research. Monitoring and evaluating urban sprawl in a region is crucial for controlling drastic environmental changes. Integrated Remote Sensing (RS) and Geographic Information System (GIS) technologies can serve as essential tools for this purpose. The aim of this systematic literature review paper is to gather information on the latest data, methods, and findings to be considered in future urban sprawl research. The PRISMA method was employed, involving filtering from the Scopus database, resulting in 30 papers selected for an in-depth review to address the objectives of this paper. Landsat data remains the preferred choice for monitoring changes due to its extensive historical archive compared to other data sources. Landscape metrics represent a more advanced method com-pared to conventional change detection in quantifying urban sprawl. Other indices and quantifiers are also used to support the quantification of urban sprawl. Two perspectives exist in selecting the study's temporal intervals: consistent and inconsistent, which are adjusted based on the natural characteristics of "change," namely "abrupt" and "gradual." Suggestions for future research include using data with detailed spatial resolution and narrow study intervals while considering the patterns of urban sprawl formation.

Highlights:

  • Spatio-temporal approach: Vital for understanding urban sprawl dynamics.
  • Remote Sensing and GIS integration: Key for monitoring and controlling sprawl.
  • Indices and landscape metrics: Crucial tools for quantifying sprawl change.
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