Modelling of land use land cover changes using machine learning and GIS techniques: a case study in El-Fayoum Governorate, Egypt

Land use/land cover (LULC) changes can occur naturally or due to human activities. In this study, the maximum likelihood algorithm (MLH) and machine learning (random forest algorithm (RF) and support vector machine (SVM)) were investigated for image classification to oversight spatio-temporal land u...

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Detalles Bibliográficos
Autores principales: Atef, Islam, Ahmed, Wael, Abdel-Maguid, Ramadan H.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2023
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10156856/
https://www.ncbi.nlm.nih.gov/pubmed/37133528
http://dx.doi.org/10.1007/s10661-023-11224-7

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10156856/
https://www.ncbi.nlm.nih.gov/pubmed/37133528
http://dx.doi.org/10.1007/s10661-023-11224-7

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