Bandana Kar

Associate Professor of Geography

Bandana Kar's CV


B.Arch. 1997  College of Engineering & Technology, O.U.A.T., Orissa, India
M.C.P. 2001  Indian Institute of Technology, Kharagpur, India
M.S. 2003  State University of New York, Albany
Ph.D. 2008  University of South Carolina, Columbia


  • GHY 217/217L Introduction to Geographic Information Systems
  • GHY 417/517L GIS Based Vector Analysis
  • GHY 418/518 and 418L/518L Spatial Analysis and Modeling
  • GHY 411/511 and 411L/511L Remote Sensing and Image Interpretation
  • GHY 412/512 and 412L/512L Environmental Remote Sensing
  • GHY 467/567 and 467L/567L Design and Deployment of Database and Geo-Database
  • GHY 469/569 and 469L/569L Internet Mapping
  • GHY 455/555 Environmental Hazards
  • GHY 610/710 Seminar in Research Techniques and Presentation of Geographic Data
  • GHY 612/712 Seminar in GIS


Geographic Information Science, Remote Sensing, Hazards

Dr. Kar’s research and academic interests focus on advancing the concepts of Geographic Information Science (GIScience) and hazards, and applying GIScience concepts to study the interaction of social and physical environments.

Dr. Kar’s research focuses on the following technological areas: (i) uncertainty and accuracy assessment, (ii) multi-scale and spatio-temporal modeling, (iii) cyber GIS and web mapping, citizen science, and location privacy, (iv) data science, machine learning, spatial statistics, databases, Hadoop/NO SQL, (v) change detection and feature extraction using remotely sensed images. Her research in hazard focuses on mitigating hazards through risk communication, resilience building, damage/financial loss estimation, risk and vulnerability assessment. Her applied GIS research areas include enabling citizen science, building cyber-infrastructure for data storage and management, and developing spatial decision support systems. Dr. Kar has been funded by the Department of Homeland Security, National Science Foundation and Department of Defense to undertake research in risk communication and economic resilience, to investigate the usability and integration of big data and structured geospatial data during emergency management activities, and build cyber-infrastructure to enable citizen science, education and outreach.

  1. Introduction to Geographic Information Systems – Lecture (GHY 217) and Lab (GHY 217L)