Prediction of land use/land cover change methods: A study

作者: Oumayma Bounouh , Houcine Essid , Imed Riadh Farah

DOI: 10.1109/ATSIP.2017.8075511

关键词:

摘要: Prediction of Land use and cover change using remotely sensed imagery has attracted huge attention. From several decades, multiple researchers have investigated different approaches. The complex nature the land process, due to human-nature interactions singularities satellite images, demands a well-studied approach. Yet, synthesis document is needed provide synthetic director paper combining proposed and/or used models, their advantages drawbacks. Hence, such studies are required face changes prediction needs. Therefore, this presents review models for variability purposes. A classification scheme enable better specification current forecasting models.

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