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In Association with
Nilanchal Patel
Nilanchal Patel
Professor & Head
Department of Remote Sensing
Birla Institute of Technology, Jharkhand
India
Tel. 00-91-9431100357
Biography
Dr. Nilanchal Patel is Head & Professor at Birla Institte of Technology, India. He was previously appointed as lecturer in Remote Sensing and Geology at IIT-D. He completed his research from Indian Institute of Technology Kanpur on Digital Image Processing of Remotely Sensed Data for Lithological Discrimination in Rajasthan (India) after his Mtech in Applied Geology from Indian Institute of Technology, Roorkee. He has many international awards/fellowships from China, Denmark, Portugal and Poland. He is an active Organizing Committee Member in Earth Science Conferences, and is a member of very reputed journals like Springer and Taylor & Francis. Because of the quality of his work and determination, he has earned various prestigious awards and is a life member of various scientific communities. His research areas include Landslide hazard zonation, Assessment of forest degradation and fragmentation, Spectral eco-region mapping and characterization, Pattern recognition and image processing, Spectral characterization of water, soil and vegetation characteristics GIS-based landscape pattern analysis through landscape metrics, NPP and BIOMASS estimation of vegetation and crop, Habitat assessment through GIS, Estimation of soil organic carbon content, Urbanization pattern analysis, Vulnerability Analyses of Wetlands, Digital land use and land cover change detection studies, Rainfall-runoff modelling, Spectral classification of satellite data and Thermal remote sensing.
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Research Interest
Landslide hazard zonation, Assessment of forest degradation and fragmentation, Spectral eco-region mapping and characterization, Pattern recognition and image processing, Spectral characterization of water, soil and vegetation characteristics GIS-based landscape pattern analysis through landscape metrics, NPP and BIOMASS estimation of vegetation and crop, Habitat assessment through GIS, Estimation of soil organic carbon content, Urbanization pattern analysis, Vulnerability Analyses of Wetlands, Digital land use and land cover change detection studies, Rainfall-runoff modelling, Spectral classification of satellite data and Thermal remote sensing.
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