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Machine Learning for Coal Mine Reclamation by raghvendrakumar70911 is a document available to read on EtoBox.

What is Machine Learning for Coal Mine Reclamation about?

This study investigates the reclamation of coal-mined landscapes through reforestation using Sentinel 2 satellite data and machine learning algorithms. It finds that the Support Vector Machine algorithm is more effective in classifying land use and vegetation types, particularly in identifying the age of reclamation plantations. The research highlights the significant loss of forests and agricultural land due to coal mining, while also demonstrating that biomass and carbon stocks in reclaimed areas lag behi

Author

raghvendrakumar70911

Language

EN