Swarnendu sekhar ghosh

Employment

• University of Genoa Postdoctoral Researcher
  2025 - Present

Education

Education history is unavailable.

Projects & Funding

Projects & funding information is unavailable.

Publications (13)

• Assessing Multi-mode Temporal PolSAR Data for Winter Wheat and Barley Discrimination Using Convolutional Neural Networks
  2026 DOI: 10.1007/978-3-032-17083-5_1
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• Enhancing Vegetation Monitoring: A Proposal for a Sentinel-2 Based Vegetation Health Index
  2025 DOI: 10.20944/preprints202501.1235.v1
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• Enhancing vegetation monitoring: a proposal for a Sentinel-2 based vegetation health index
  Frontiers in Remote Sensing 2025 DOI: 10.3389/frsen.2025.1581355
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• An Evidence Modified Gaussian Process Classifier (EM-GPC) for Crop Classification Using Dual-Polarimetric C- and L- Band SAR Data
  IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 2024 DOI: 10.1109/JSTARS.2024.3470956
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• Crop Residue Burning and its Impact on air Quality: A Case Study on Northern India
  International Geoscience and Remote Sensing Symposium IGARSS 2024 DOI: 10.1109/IGARSS53475.2024.10642201
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• Enhancing Crop Type Classification from Multi-Frequency Dual-Pol SAR Data by Probabilistic Fusion of Gaussian Processes
  International Geoscience and Remote Sensing Symposium IGARSS 2024 DOI: 10.1109/IGARSS53475.2024.10642521
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• GP4F - A Gaussian Process Regression Model For Forest Biomass Retrieval Utilizing Simulated NISAR Data
  2023 IEEE India Geoscience and Remote Sensing Symposium (InGARSS) 2023 DOI: 10.1109/ingarss59135.2023.10490338
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• A Sentinel-2 Vegetation Health Index
  2023 IEEE India Geoscience and Remote Sensing Symposium Ingarss 2023 2023 DOI: 10.1109/InGARSS59135.2023.10490434
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• Enhancing Plant Area Index Retrieval Using Gaussian Process Regression from Dual-Polarimetric SAR Data
  International Conference on Machine Intelligence for Geoanalytics and Remote Sensing, Migars 2023 DOI: 10.1109/MIGARS57353.2023.10064591
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• Gaussian process regression-based forest above ground biomass retrieval from simulated L-band NISAR data
  International Journal of Applied Earth Observation and Geoinformation 2023 DOI: 10.1016/J.JAG.2023.103252
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