Sujit Ghosh

Employment

Employment history is unavailable.

Education

• Indian Institute of Technology Kharagpur Doctor of Philosophy
  2014 - 2020
• National Institute of Technology Warangal Master of Technology
  2012 - 2014
• Indian Institute of Engineering Science and Technology Bachelor of Technology
  2005 - 2009

Projects & Funding

Projects & funding information is unavailable.

Publications (14)

• Implication of the new VCS jurisdictional and nested REDD methodology on baselines of existing avoided deforestation projects
  Journal of Environmental Management 2024 DOI: 10.1016/j.jenvman.2023.119857
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• Indicating Saturation Limits of Multi-sensor Satellite Data in Estimating Aboveground Biomass of a Mangrove Forest
  Journal of the Indian Society of Remote Sensing 2024 DOI: 10.1007/S12524-024-01968-1
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• A new synergistic approach for Sentinel-1 and PALSAR-2 in a machine learning framework to predict aboveground biomass of a dense mangrove forest
  Ecological Informatics 2022 DOI: 10.1016/J.ECOINF.2022.101900
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• Predicting the Forest Canopy Height from LiDAR and Multi-Sensor Data Using Machine Learning over India
  Remote Sensing 2022 DOI: 10.3390/RS14235968
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• A novel approach for estimation of aboveground biomass of a carbon-rich mangrove site in India
  Journal of Environmental Management 2021 DOI: 10.1016/j.jenvman.2021.112816
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• Species-Level Classification and Mapping of a Mangrove Forest Using Random Forest—Utilisation of AVIRIS-NG and Sentinel Data
  Remote Sensing 2021 DOI: 10.3390/rs13112027
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• Aboveground biomass estimates of tropical mangrove forest using Sentinel-1 SAR coherence data - The superiority of deep learning over a semi-empirical model
  Computers & Geosciences 2021 DOI: 10.1016/j.cageo.2021.104737
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• Estimating above ground biomass (agb) and tree density using sentinel-1 data
  Environmental Science and Engineering 2021 DOI: 10.1007/978-3-030-56542-8_11
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• A Study on Speckle Removal Techniques for Sentinel-1A SAR Data Over Sundarbans, Mangrove Forest, India
  2020 IEEE India Geoscience and Remote Sensing Symposium (InGARSS) 2020 DOI: 10.1109/ingarss48198.2020.9358929
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• Canopy height estimation using sentinel series images through machine learning models in a Mangrove Forest
  Remote Sensing 2020 DOI: 10.3390/RS12091519
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