Using AI in Land Use and Land Cover Classification (LULC)
    
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Land Use and Land Cover (LULC) classification is essential for evaluating urban growth, agricultural trends, deforestation, water supplies, and ecological degradation in the age of geospatial intelligence and environmental monitoring. Because AI-powered techniques, especially machine learning (ML) and deep learning (DL), can process large, high-dimensional satellite imagery datasets with greater accuracy and automation, they are quickly surpassing traditional classification methods like Maximum Likelihood or Decision Trees.

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