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Peer-reviewed journal articles

  • Lain, L. R., Kravitz, J., Matthews, M., & Bernard, S. (2023). Simulated Inherent Optical Properties of Aquatic Particles using The Equivalent Algal Populations (EAP) model. Scientific Data, 10(1), 412.

  • Lehmann, M. K., Gurlin, D., Pahlevan, N., Alikas, K., Conroy, T., Anstee, J., ... Kravitz, J., & Yue, L. (2023). GLORIA-A globally representative hyperspectral in situ dataset for optical sensing of water quality. Scientific Data, 10(1), 100.

  • Kravitz, J., Matthews, M., Lain, L., Bernard, S., & Fawcett, S. (2021). Potential for high fidelity global mapping of common inland water quality products at high spatial and temporal resolutions based on a synthetic data and machine learning approach. Frontiers in Environmental Science, 9, 19.

  • Kravitz, J., Matthews, M., Bernard, S., & Griffith, D. (2020). Application of Sentinel 3 OLCI for chl-a retrieval over small inland water targets: Successes and challenges. Remote Sensing of Environment, 237, 111562.

Submitted and in-prep manuscripts

  • Matthews, M., Kravitz, J., Pease, J., Gensemer, S., (Submitted). Determining the spectral requirements for cyanobacteria detection for the CyanoSat hyperspectral imager with machine learning. Sensors.

  • Kravitz, J., Lain, Guild, L., L., Mauceri, S., Lahaye, N., Hopkins, L., Brosnan, I., (In-prep) A computational framework for hyperspectral radiative transfer modeling and deep learning emulation for global water quality applications at scale. 

Other publications

  • ​Matthews, M, Kravitz, J, Sentinel-3 validation for water resources protection. Water Resources Commission Report, South Africa (2019)

Conference & meeting presentations
(1st author only)

  • Kravitz, JA, et. al., SWIPE: Spectral Water Inversion Processor and Emulator. Poster. AGU, Chicago USA (2022)

  • Kravitz, JA, et. al., Validation of machine learning algorithms for hyperspectral inversion of common water quality indicators. Presentation. AGU, Chicago USA (2022)

  • Kravitz, JA, et. al., SWIPE: Spectral Water Inversion Processor and Emulator. Poster. Ocean Science Meeting. Virtual (2022)

  • Kravitz, JA, et. al., SWIPE: Spectral Water Inversion Processor and Emulator. Presentation. EARSeL, Potsdam, Germany (2022)

  • Kravitz, JA, Lain, LR, Synthetic hyperspectral data for global coastal and inland water quality algorithm development. Presentation. Hyperspectral Imaging and Sounding of Environment (HISE), virtual (2021)

  • Kravitz, JA, Matthews, M, Griffith, D, Bernard, S, Application of Sentinel 3 OLCI for chl-a retrieval over small inland water targets, Poster. S3 validation team meeting (S3VT), Darmstadt, Germany (2018)

  • Kravitz, JA, Matthews, M, Griffith, D, Bernard, S, An empirical orthogonal function approach to derive cyanobacteria:eukaryotic algae ratios using bottom of rayleigh reflectance data. Poster. Ocean Optics XXIV, Dubrovnik, Croatia (2018)

  • Kravitz, JA, Matthews, M, Griffith, D, Remote sensing of inland water bodies in South Africa using Sentinel 3 OLCI. Poster. IOCS Meeting, Lisbon, Portugal (2017)

  • Kravitz, JA, Matthews, M, Griffith, D, Estimation of Chlorophyll-A in eutrophic inland waters using Sentinel 3 Ocean and Land Color Instrument: First Impressions. Presentation. ISRSE 37 Meeting, Pretoria, South Africa (2017)

  • Kravitz, JA, EJ Hochberg, Coral Light Use Efficiency of Porites astreoides and Madracis mirabilis in Bermuda. Presentation. Bermuda Institute of Ocean Science, Bermuda (2012)

  • Kravitz, JA, Moline, MA, Using Technology To Better Understand Water Flow in a Complex Environment. Poster. College of Science and Math Student Research Conference, Cal Poly, San Luis Obispo (2012)

Invited seminars and lectures

  • Seminar: Pushing the limits of aquatic remote sensing: synthetic data and deep learning for fast inverse emulation of a coupled ocean-atmosphere radiative transfer model. NASA ARC (2023)

  • Seminar: Pushing the limits of aquatic remote sensing: synthetic data and deep learning for fast inverse emulation of a coupled ocean-atmosphere radiative transfer model. NASA GSFC GISS (2023)

  • Seminar: Pushing the limits of aquatic remote sensing: synthetic data and deep learning for fast inverse emulation of a coupled ocean-atmosphere radiative transfer model. NASA GSFC OEL (2022)

  • Seminar: NASA Earthweek 2022: Towards a global processor for high fidelity water quality retrieval for inland and coastal waters

  • Seminar: Spectral Water Inversion Processor and Emulator. NASA SBG Research & Applications group (2022)

  • Seminar: Kravitz, JA, Towards global mapping of inland water quality: Closing the gap between research and application using big data and machine learning. Presentation. NASA SBG algorithms working group (2021)

  • Guest Lecturer: An introduction to ocean optics and remote sensing. M.Sc. Student course. University of Cape Town, South Africa (2017-2020)

©2023 by Jeremy Kravitz

(Under construction...)

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