THE USE OF REMOTE SENSING TECHNIQUES FOR MODELING AND ANALYSIS OF THE URBAN EXPANSION OF AIN SALAH CITY IN THE ALGERIAN SAHARA BETWEEN 2000- 2023

This study examines the urban expansion of Ain Salah City in Algeria between 2000 and 2023 using remote sensing techniques and data. The analysis reveals significant changes in land use patterns, with rapid urbanization and infrastructure development driven by population growth, economic development, and infrastructure improveme nts. The study employed satellite imagery and geographic information systems (GIS) to detect urban sprawl and analyze the environmental impacts of urbanization. The results show that the city center has undergone significant changes, with more built-up areas and infrastructure emerging. The study's findings have implications for urban planning and management, highlighting the need for sustainable urban development strategies to address concerns about traffic congestion, waste management, and public health issues. The study's use of machine learning algorithms and high-resolution satellite imagery provides valuable insights into the dynamics of urbanization in arid environments and can inform future urban planning and sustainable development strategies in similar regions.

Authors

Publication Details

Journal
GeoJournal of Tourism and Geosites
Published
2024-11-29
DOI
https://doi.org/10.30892/gtg.56430-1344
Primary Topic
Remote Sensing and Land Use
Type
article
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article

THE USE OF REMOTE SENSING TECHNIQUES FOR MODELING AND ANALYSIS OF THE URBAN EXPANSION OF AIN SALAH CITY IN THE ALGERIAN SAHARA BETWEEN 2000- 2023

Saida Meftah, Ali SAIDOU
GeoJournal of Tourism and Geosites
Remote Sensing and Land Use
article

THE USE OF REMOTE SENSING TECHNIQUES FOR MODELING AND ANALYSIS OF THE URBAN EXPANSION OF AIN SALAH CITY IN THE ALGERIAN SAHARA BETWEEN 2000- 2023

Saida Meftah, Ali SAIDOU
article en

Abstract

This study examines the urban expansion of Ain Salah City in Algeria between 2000 and 2023 using remote sensing techniques and data. The analysis reveals significant changes in land use patterns, with rapid urbanization and infrastructure development driven by population growth, economic development, and infrastructure improveme nts. The study employed satellite imagery and geographic information systems (GIS) to detect urban sprawl and analyze the environmental impacts of urbanization. The results show that the city center has undergone significant changes, with more built-up areas and infrastructure emerging. The study's findings have implications for urban planning and management, highlighting the need for sustainable urban development strategies to address concerns about traffic congestion, waste management, and public health issues. The study's use of machine learning algorithms and high-resolution satellite imagery provides valuable insights into the dynamics of urbanization in arid environments and can inform future urban planning and sustainable development strategies in similar regions.

GeoJournal of Tourism and GeositesVol. 56(4)
Openalex Percentile: Top 75%
Remote Sensing and Land Use
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