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BIO

Personal Profile

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Sayantani Bhattacharyya

I am Sayantani Bhattacharyya. I am currently a 1st year Research Scholar in Atmosphere and Ocean Sciences in the School of Earth, Ocean and Climate Sciences, Indian Institute of Technology Bhubaneswar. My research area is Remote Sensing and GIS Implementation in Atmospheric and Ocean Sciences.

Education

2026-Present

Indian Institute of Technology Bhubaneswar

  • Ph.D. in Atmosphere and Ocean Sciences

  • Research Area: Remote Sensing and GIS implementation in Atmosphere and Ocean Sciences

2021-2023

Amity University, Noida, Uttar Pradesh

  • MSc in GIS and Remote Sensing

  • Thesis Title: Spatio-temporal Influences of Land Cover Changes on Environmental Criticality of Kolkata

2017-2020

Loreto College, University of Calcutta, West Bengal

  • BSc in Geography

  • Field Survey: Physical and Socio-Economic survey of Rinchengpong, Sikkim, India.

Experience

2024-2026

Entorno Planning Management Conglomerate Pvt. Ltd.

  • Assistant Manager-GIS, promoted to Consultant

  • Hydro-geophysical feasibility Assessment: Applied GIS and RS to map the groundwater potential areas and evaluated water management strategies through literature review and case studies for sustainable water conservation and recharge of the Hauz-i-Shamsi heritage site in Delhi. 

  • Green Belt Study: Supported a green belt development study by mapping land use, soil characteristics, and vegetation health to guide ecological enhancement around an industrial site.

  • Environmental and Social Impact Assessment, Due Diligence and Desktop Screening Studies: Developed detailed maps, performed wind, solar and transmission line profiling using Google Earth Pro, conducted environmental and socio-economic baseline and climate change risk assessments.

Publications

Journals

  1. Bhattacharyya, S., Sinha, S., Kumari, M., Mishra, V.N., Hasher, F.F.B., Szostak, M. and Zhran, M., 2025. Spatio
    Temporal Influences of Urban Land Cover Changes on Thermal-Based Environmental Criticality and Its Prediction Using CA-ANN Model over Kolkata (India). Remote Sensing, 17(6), p.1082. Link: https://www.mdpi.com/2072-4292/17/6/1082

  2. Sinha, S., Pal, P., Chatterjee, S., Auddy, N., Bhattacharyya, S., Mukhopadhyay, S., & Saha, S., 2026. A comparative performance analysis of selected GeoAI machine learning classification techniques using satellite imagery. Journal of Civil and Environmental Engineering, 14(5), 146–153. DOI: 10.1018/IJCEE.2026.14.5.83347

Get in Touch

a26ao09008@iitbbs.ac.in

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