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Predicting land use land cover changes and impact on urban wetlands using cellular automata and artificial neural networks approach, a case study in Greater Accra, Ghana

  • Bowling Green State University

Research output: Contribution to journalReview articlepeer-review

Original languageEnglish
Article numbere02767
JournalScientific African
Volume28
DOIs
StatePublished - Jun 2025

ASJC Scopus Subject Areas

  • General

Keywords

  • Artificial neural networks-cellular automata
  • Land use/cover change
  • Prediction
  • Urban sprawl
  • Wetlands

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