Journal Article10.1016/j.scitotenv.2022.153559
Machine learning in modelling land-use and land cover-change (LULCC): Current status, challenges and prospects.
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TL;DR: In this article , the authors review principles and methods of land-use and land-cover change (LULCC) modeling using machine learning and beyond, such as traditional cellular automata (CA), and examine the characteristics, capabilities, limitations, and perspectives of machine learning.
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About: This article is published in Science of The Total Environment. The article was published on 01 Jan 2022. The article focuses on the topics: Medicine & Land cover.
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