(SR RESEARCH SCIENTIST)
| Email: | fnu.arunmuralidharansaranathan@nasa.gov |
| Org Code: | 619 |
| Address: |
NASA/GSFC Mail Code 619 Greenbelt, MD 20771 |
| Employer: | SCIENCE SYSTEMS AND APPLICATIONS INC |
SSAI/ NASA GSFC-619.0 - Greenbelt, MD
2021 - Present
Perform machine learning model development, in particular for application to remotely sensed hyper-spectral and multi-spectral satellite datasets.
University of Massachusetts, Amherst - Amherst
January 2013 - July 2021
Adapting tools from machine/deep learning, signal and image processing for analysis of remotely sensed hyperspectral data of the Martian surface.
University of Massachusetts, Amherst | Ph. D. in Electrical Engineering
University of Massachusetts, Amherst | M.S. in Electrical and Computer Engineering
2013 - Present
2022 - Present
2024. "Assessment of advanced neural networks for the dual estimation of water quality indicators and their uncertainties.", Frontiers in Remote Sensing, 5 1383147 [https://doi.org/10.3389/frsen.2024.1383147] [Journal Article/Letter]
2023. "Towards global long-term water transparency products from the Landsat archive.", Remote Sensing of Environment, 299 113889 [10.1016/j.rse.2023.113889] [Journal Article/Letter]
2023. "Multi-Parameter Retrieval of Water Quality Indicators from Bayesian and Mixture Density Networks.", IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium, 3946-3949 [10.1109/igarss52108.2023.10281433] [Proceedings]
2023. "Per-pixel uncertainty quantification and reporting for satellite-derived chlorophyll-a estimates via mixture density networks.", IEEE Transactions on Geoscience and Remote Sensing, 61 1-18 [10.1109/tgrs.2023.3234465] [Journal Article/Letter]