A cellular-automation and artificial neural network-based assessment of urban expansion and its impact on blue and green space fragmentation

ABSTRACT There has been rapid decline in green space and blue space in the cities of developing countries due to urban sprawl and population pressure. This study aims to evaluate the decadal pattern of urban expansion and its effects on the green-blue areas in Greater Imphal, India, based on coupled cellular automation-urban fragmentation technique. The study also analyses and projects the future fragmentation of green-blue space based on historical data. The result of this study shows the area under built-up cover has increased by 53.64% in 2025 as compared to 2015, and it likely to grow by 46.52% in 2035 as compared to 2025. The landscape fragmentation analysis shows that the large-core area under green space fragmentation has decreased by 44.3% in 2025 which will further decrease to 53.04% in 2035 as compared to 2015. On the other hand blue space fragmentation showed a stagnated trend in most of the landscape fragmentation type. Future predictions of urban sprawl and fragmentation will support sustainable development and the establishment of more efficient environmental protection and conservation of blue-green space strategies.

• Publication year

  2025

• Venue

  Remote Sensing Letters

• Publication date

  2025-11-26

• Fields of study

  Not labeled

• Identifiers
  DOI 10.1080/2150704X.2025.2592092
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

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