Assessing forest biomass changes in Pench Tiger Reserve, Maharashtra, India with remote sensing and machine learning approaches

This study explores the use of remote sensing and machine learning approaches to monitor forest biomass changes in the Pench Tiger Reserve, Maharashtra, India. It integrates Earth observation data and advanced computational models to assess biomass dynamics, providing critical insights into forest management and conservation efforts. The research underscores the potential of geospatial technologies in supporting sustainable practices, biodiversity conservation, and carbon sequestration initiatives, aligning with India's commitments to environmental sustainability.