Dr. Subir Paul

About

I have received the Ph.D. degree from the Department of Civil Engineering, Indian Institute of Science (IISc), Bengaluru, India, in 2020. My current research interests include applications of Multispectral and Hyperspectral Remote Sensing images for Land Cover and Crop Classification, Vegetation Condition Monitoring, and Estimation of Biophysical and Biochemical Variables using Advanced Machine Learning or Deep Learning Techniques.

Employment

• Helmholtz-Zentrum Dresden-Rossendorf PostDoctoral Researcher
  2022 - 2022
• Indian Institute of Science Research Associate
  2020 - 2022

Education

• National Institute of Advanced Industrial Science and Technology Technical Training
  2019 - 2019
• Indian Institute of Science Ph.D.
  2015 - 2020
• Indian Institute of Science ME in Water Resources and Environmental Engineering
  2013 - 2015
• Uttar Banga Krishi Viswavidyalaya B.Tech in Agricultural Engineering
  2009 - 2013

Projects & Funding

Projects & funding information is unavailable.

Publications (15)

• Carbon Farming: An Expository, Inter-Disciplinary Survey
  Journal of the Indian Institute of Science 2026 DOI: 10.1007/S41745-026-00499-7
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• Unsupervised annual change detection from optical-SAR fused satellite image time-series using 3D-CAE
  International Journal of Remote Sensing 2023 DOI: 10.1080/01431161.2023.2187724
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• Generating pre-harvest crop maps by applying convolutional neural network on multi-temporal Sentinel-1 data
  International Journal of Remote Sensing 2022 DOI: 10.1080/01431161.2022.2030072
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• An Overview of Flood Concepts, Challenges, and Future Directions
  Journal of Hydrologic Engineering 2022 DOI: 10.1061/(ASCE)HE.1943-5584.0002164
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• Spatio-temporal dependency of vegetation dynamics on climatic variables during 1982–2015 over India
  Advances in Space Research 2021 DOI: 10.1016/j.asr.2021.09.005
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• Evaluation Framework of Landsat 8–Based Actual Evapotranspiration Estimates in Data-Sparse Catchment
  Journal of Hydrologic Engineering 2020 DOI: 10.1061/(ASCE)HE.1943-5584.0001992
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• Hyperspectral Remote Sensing for Land Cover Classification
  LAP LAMBERT Academic Publishing 2020
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• Transformation of Multispectral Data to Quasi- Hyperspectral Data Using Convolutional Neural Network Regression
  IEEE Transactions on Geoscience and Remote Sensing 2020 DOI: 10.1109/tgrs.2020.3009290
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• Canopy Averaged Chlorophyll Content Prediction of Pear Trees using Convolutional Auto-Encoder on Hyperspectral Data
  IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 2020 DOI: 10.1109/jstars.2020.2983000
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• Partial informational correlation-based band selection for hyperspectral image classification
  Journal of Applied Remote Sensing 2019 DOI: 10.1117/1.jrs.13.046505
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