Prosenjit Barman

About

Prosenjit Barman has been pursuing a PhD in Geography from the School of Environment and Earth Sciences in Geography, Central University of Punjab, Bhatinda, India. His studies focused on urban planning, transit-oriented development, and land use change using machine learning. He has awarded UGC net with a JRF in 2020.

Employment

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Education

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Publications (5)

• A Multi-scale Object-based Framework for Hierarchical Urban Land Use and Land Cover Classification Using Ensemble Machine Learning and Multi-source Geospatial Data
  Earth Systems and Environment 2026 DOI: 10.1007/s41748-026-01078-7
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• Machine Learning-Based Spatial Assessment of the Impact of Urbanization and LULC Dynamics on Urban Ecological Health in the Kolkata Metropolitan Area
  Earth Systems and Environment 2026 DOI: 10.1007/s41748-026-01321-1
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• SAR-based flood detection and different ensemble boosting techniques for multi-factor flood susceptibility modelling: a case study in Uttar Dinajpur, West Bengal, India
  Natural Hazards 2026 DOI: 10.1007/s11069-026-08171-0
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• Integrated flood risk-based land use mapping using machine learning and Geospatial technologies: a case study of Baleswar CD block, India
  Discover Cities 2025 DOI: 10.1007/s44327-025-00173-0
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• Building Extraction of Kolkata Metropolitan Area Using Machine Learning and Earth Observation Datasets
  2023 DOI: 10.1007/978-3-031-24767-5_31
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