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Author

Atul Saini

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Open access Sep 2026

Understanding Land Use/Land Cover Dynamics and Land Surface Temperature Variations Through Machine Learning and Geospatial Approach: A Case Study of Kullu District, Himachal Pradesh, India

Machine learning (ML)-based classification provides an effective approach for extracting land use/land cover (LULC) information from multi-temporal satellite observations. This study evaluates Maximum Likelihood Classification (MLC), Support Vector Machine (SVM), and Random Forest (RF) for mapping LULC changes in Kullu...

Sanjeev Kumar Jha, Nirbhav, Atul Saini et al. · 0 citations

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