Spatiotemporal change analysis and ANN/CCI LC productsbased future predictions of land use and land cover: Algiers city,(Algeria) case study

• Autores: Sana Ghezali, Mohamed Amine
• Localización: Second International Future Challenges in Sustainable UrbanPlanning & Territorial Management: Proceedings of the SUPTM 2024 conference / Salvador García-Ayllón Veintimilla (dir. congr.), José Luis Miralles García (dir. congr.), 2024, ISBN 978-84-17853-82-2, págs. 288-291
• Idioma: inglés
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• Resumen

  • This study aims to assess the spatiotemporal variation of LULC and to predict its dynamics in Algiers using the climate change initiative land cover (CCI-LC) products and the cellular automata and artificial neural network (CA-ANN) models. To simulate the spatiotemporal change transition potential and future LULC patterns, two-time steps were used: (1) a 14-year time step (1992–2020) and (2) a 10-year time step (2000–2020). For model validation, the simulation results were compared to the observed LULC map for 2020. The best-performing simulation approach was then used to generate a future LULC scenario for the period 2030–2050.