Sumit Kumar Chaudhary

About

Dr. Sumit Kumar Chaudhary is an Assistant Professor at Amity Institute of Geoinformatics and Remote Sensing (AIGIRS), Amity University. He obtained his Ph.D. in 2017 from Indian Institute of Technology (Indian School of Mines), Dhanbad. His research interests include multi-modality image fusion, soil moisture estimation, vegetation analysis, hydrological evaluations, planning for climate resilience, and AI/ML modelling for earth observations. He has authored or co-authored several articles in various international/national journals and conferences and book chapters.

Employment

• Amity University Assistant Professor
  2025 - Present
• Techno Essence Solutions Pvt Ltd Manager
  2025 - 2025
• Scanpoint Geomatics Ltd Manager
  2022 - 2024
• Indian Institute of Remote Sensing Research Associate
  2021 - 2022
• Banaras Hindu University Research Associate
  2018 - 2021
• Indian Institute of Technology Dhanbad
  2016 - 2018

Education

• Indian Institute of Technology Dhanbad Ph.D
  2012 - 2017
• Indian School of Mines M. Tech. (Geomatics)
  2009 - 2011
• Deen Dayal Upadhyay Gorakhpur University M.Sc. (Mathematics)
  2006 - 2008

Projects & Funding

Projects & funding information is unavailable.

Publications (22)

• Evaluation of pre-trained convolutional neural networks for the development of web/mobile-based bird species identification applications under Indian Bioresource Information Network (IBIN) framework
  Environmental Sustainability 2023 DOI: 10.1007/s42398-023-00281-w
  +Save
• Passive Only Microwave Soil Moisture Retrieval in Indian Cropping Conditions: Model Parameterization and Validation
  IEEE Transactions on Geoscience and Remote Sensing 2023 DOI: 10.1109/TGRS.2022.3218945
  +Save
• Evaluating air quality and criteria pollutants prediction disparities by data mining along a stretch of urban-rural agglomeration includes coal-mine belts and thermal power plants
  Frontiers in Environmental Science 2023 DOI: 10.3389/fenvs.2023.1132159
  +Save
• Rainfall rate estimation over India using global precipitation measurement’s microwave imager datasets and different variants of fuzzy information system
  Geocarto International 2022 DOI: 10.1080/10106049.2021.1936208
  +Save
• A comprehensive review on biodiversity information portals
  Biodiversity and Conservation 2022 DOI: 10.1007/s10531-022-02420-x
  +Save
• Machine learning algorithms for soil moisture estimation using Sentinel-1: Model development and implementation
  Advances in Space Research 2022 DOI: 10.1016/j.asr.2021.08.022
  +Save
• Synergistic evaluation of Sentinel 1 and 2 for biomass estimation in a tropical forest of India
  Advances in Space Research 2021 DOI: 10.1016/j.asr.2021.03.035
  +Save
• Artificial neural network for the estimation of soil moisture using earth observation datasets
  Agricultural Water Management 2021 DOI: 10.1016/B978-0-12-812362-1.00012-6
  +Save
• Concepts and methodologies for agricultural water management
  Agricultural Water Management 2021 DOI: 10.1016/B978-0-12-812362-1.00001-1
  +Save
• Evaluation of Radar/Optical Based Vegetation Descriptors in Water Cloud Model for Soil Moisture Retrieval
  IEEE Sensors Journal 2021 DOI: 10.1109/JSEN.2021.3099937
  +Save