Sukanya Ghosh

About

Currently, I am working at IIT Kanpur on automated map generalization for urban applications, leveraging geospatial data science and automation techniques to support smarter urban planning and decision-making.
I completed my Postdoctoral Research at UQAM (Université du Québec à Montréal), research on climate change adaptation and the identification of conditions conducive to human-transmitted diseases. This will provide the information to Public Heath of Canada (PHAC), needs to address the risks of infectious and emerging diseases in Canada.
In my Ph.D., I have conducted research on Integrating different machine-learning techniques with geospatial technology using remote-sensing datasets. The study is developed using Cloud Technology and is applied to varied real-time applications. The study has focused on the performance of remote sensing datasets in varied real-time applications. The applications are mostly in the domains of environment, climate change, and urban applications. Good knowledge of advanced methods and corresponding tools and techniques for analyzing big datasets.

Employment

• University of Quebec at Montreal Postdoctoral Fellow
  2023 - Present
• Amity University Research Scholar

Education

• Amity University Ph.D.
  2019 - 2022
• Amity University M.Sc (Geo-Informatics and Remote Sensing)
  2016 - 2018
• University of Calcutta B.Sc (Geography)
  2012 - 2015

Projects & Funding

Projects & funding information is unavailable.

Publications (9)

• Analyzing recent trends in deep-learning approaches: A review on urban environmental hazards and disaster studies for monitoring, management, and mitigation toward sustainability
  International Journal on Smart Sensing and Intelligent Systems 2024 DOI: 10.2478/ijssis-2024-0014
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• Assessing the influence of floods over selected states of Eastern India with cloud-based geo-computing platforms
  Geocarto International 2022 DOI: 10.1080/10106049.2022.2047230
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• Google earth engine based computational system for the earth and environment monitoring applications during the COVID-19 pandemic using thresholding technique on SAR datasets
  Physics and Chemistry of the Earth, Parts A/B/C 2022 DOI: 10.1016/j.pce.2022.103163
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• Evaluating the impact of flood inundation with the cloud computing platform over vegetation cover of Ganga Basin during COVID-19
  Spatial Information Research 2022 DOI: 10.1007/s41324-022-00430-z
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• Assessing spatiotemporal dynamics of land surface temperature and satellite-derived indices for new town development and suburbanization planning
  Urban Governance 2022 DOI: 10.1016/j.ugj.2022.05.001
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• Assessing spatiotemporal variations in land surface temperature and SUHI intensity with a cloud based computational system over five major cities of India
  Sustainable Cities and Society 2022 DOI: 10.1016/j.scs.2022.104060
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• Automated flood inundation mapping over Ganga basin
  Handbook of HydroInformatics: Volume III: Water Data Management Best Practices 2022 DOI: 10.1016/B978-0-12-821962-1.00006-4
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• Cloud-based large-scale data retrieval, mapping, and analysis for land monitoring applications with Google Earth Engine (GEE)
  Environmental Challenges 2022 DOI: 10.1016/j.envc.2022.100605
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• Assessment of urban sprawl and land use change dynamics, using remote sensing technique. A study of Kolkata and surrounding periphery, WB, India
  38th Asian Conference on Remote Sensing - Space Applications: Touching Human Lives, ACRS 2017 2017
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