• BeZero Carbon Homepage
  • Ratings
    • Approach
    • Geospatial
    • Resources
    • Listings
    • Developers
  • Products
    • Offer
    • Testimonials
  • Research
  • Insights
  • About
    • Company
    • Leadership
    • Science
    • Governance
  • Log in

Work

  • Careers

Social

  • Twitter (X)
  • LinkedIn
  • YouTube
Registered company #12577887

Contact

  • contact@bezerocarbon.com

Press

  • press@bezerocarbon.com

Legal

  • Disclaimer
  • Cookies
  • Privacy Policy
  • Terms of use

Visit

25 Christopher Street London EC2A 2BS

Sujoy Mudi headshot

Sujoy Mudi

Geospatial Analyst

Sujoy Mudi's interests

  • Nature-Based Solutions

  • Forestry

  • Biomass-Based Carbon Removals

  • Artificial intelligence

  • Biomass sampling

  • Carbon mapping

  • Climate modelling

  • Field scientist

  • Forest carbon

  • Geoinformatics

  • Geospatial sciences

  • Geospatial engineering

  • GIS

  • Machine learning

  • Remote sensing

  • Satellite imagery

Sujoy Mudi is an expert in geospatial data analysis and spatial ecology. He has extensive experience analysing and integrating various satellite imagery and collateral geospatial data using geo-statistical and machine learning algorithms. His broad research areas include forest fire modelling, climate change analysis, land cover, hydrological and dynamic vegetation modelling, advanced forest and tree cover classification, characterising forest biophysical and structural attributes, plant biomass, atmospheric carbon flux, and tree-based landscape restoration planning. He has developed a broad experience of using remote sensing and GIS data and products, large spatial data, various land surface models, numerous image processing software, Python, R-programming, JavaScript and Google Earth Engine (GEE) platform.

Before joining BeZero, he was Senior Project Assistant (SPA) at Indian Institute of Technology Kharagpur, conducting research on Forest fire modelling in Sikkim Himalaya.

Selected publications

2024, Dominant Expression of SAR Backscatter in Predicting Aboveground Biomass: Integrating Multi-Sensor Data and Machine Learning in Sikkim Himalaya

2022, Moderate resolution LAI prediction using Sentinel-2 satellite data and indirect field measurements in Sikkim Himalaya

2021, COVID-19 slowdown induced improvement in air quality in India: rapid assessment using Sentinel-5P TROPOMI data

Education

  • Indian Institute of Technology Kharagpur (IIT Kharagpur), Master of Science (MS), Forest Fire Modelling using Geospatial Technique

  • Vidyasagar University, Master of Science (MSc), Remote Sensing & GIS

Learn more about Sujoy's academic history and publications

Join the team

Interested in working for a science-first climate technology company?

See what roles we currently have open, or get in touch.

Join us