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4 articles

Role of Remote Sensing in Urban Planning and Smart City Development in India

Anshul Jain, Chinar Garg

Urban Planning and Construction · 63-76 · 10.55121/upc.v3i2.539

Rapid urbanization in India, driven by population growth and economic expansion, has intensified challenges such as unplanned sprawl, resource strain, environmental degradation, and inadequate infrastructure. The Smart Cities Mission, launched in 2015, seeks to address these issues by fostering sustainable, technology-driven urb

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The Geographies and the Temporal Trends/Dynamics of Urban Sprawl in a Suburban Area

Guwani Erangi Kavirathna, Ananda Y Karunarathna

Urban Planning and Construction · 12-32 · 10.55121/upc.v4i1.1128

Urban sprawl refers to the expansion of cities towards the countryside, associated with developed infrastructure facilities and transportation networks. Thus, this study aims to analyze the geospatial patterns/dynamics of the urban sprawl, examine the temporal patterns/dynamics of the urban sprawl, and investigate the causative

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From Flood Mapping to Planning-Relevant Flood Intelligence: A Sentinel-1 SAR-Based Framework for Urban Planning and Climate Adaptation in Valencia, Spain

Arezoo Salamatnia

Urban Planning and Construction · 81-101 · 10.55121/upc.v4i1.101402

Flooding is among the most destructive natural hazards affecting urban environments worldwide, with its frequency and severity increasingly worsened by climate change and rapid urban expansion. This study presents an operational flood detection framework based on multi-temporal Sentinel-1 Synthetic Aperture Radar (SAR) imagery,

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Extent and Techniques of Coastal Land Reclamation in the Niger Delta: A Spatio-Temporal Analysis

Temple Probyne Abali, Michael Uzodianya Didia, Oye Ideki

Urban Planning and Construction · 1-14 · 10.55121/upc.v3i2.657

This study examined the scale, pattern, and impacts of swamp reclamation in the Niger Delta between 1988 and 2018, with particular attention to its implications for urban development and environmental sustainability. Using Geographic Information System (GIS) and remote sensing techniques, Landsat satellite images were analyzed t

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