| Advancing cyanobacteria biomass estimation from hyperspectral observations: Demonstrations with HICO and PRISMA imagery RE O'Shea, N Pahlevan, B Smith, M Bresciani, T Egerton, C Giardino, L Li, ... Remote Sensing of Environment 266, 112693, 2021 | 53 | 2021 |
| Evaluation of glint correction approaches for fine-scale ocean color measurements by lightweight hyperspectral imaging spectrometers RE O’Shea, SR Laney, Z Lee Applied Optics 59 (7), B18-B34, 2020 | 24 | 2020 |
| Leveraging Landsat-8/-9 underfly observations to evaluate consistency in reflectance products over aquatic environments S Kabir, N Pahlevan, RE O'Shea, BB Barnes Remote Sensing of Environment 296, 113755, 2023 | 15 | 2023 |
| Towards global long-term water transparency products from the Landsat archive DA Maciel, N Pahlevan, CCF Barbosa, VS Martins, B Smith, RE O'Shea, ... Remote Sensing of Environment 299, 113889, 2023 | 14 | 2023 |
| A hyperspectral inversion framework for estimating absorbing inherent optical properties and biogeochemical parameters in inland and coastal waters RE O'Shea, N Pahlevan, B Smith, E Boss, D Gurlin, K Alikas, K Kangro, ... Remote Sensing of Environment 295, 113706, 2023 | 14 | 2023 |
| Machine learning for cyanobacteria mapping on tropical urban reservoirs using PRISMA hyperspectral data FN Begliomini, CCF Barbosa, VS Martins, EMLM Novo, RS Paulino, ... ISPRS Journal of Photogrammetry and Remote Sensing 204, 378-396, 2023 | 12 | 2023 |
| Sensitivity of remotely sensed pigment concentration via Mixture Density Networks (MDNs) to uncertainties from atmospheric correction K Zolfaghari, N Pahlevan, SGH Simis, RE O'Shea, CR Duguay Journal of Great Lakes Research 49 (2), 341-356, 2023 | 9 | 2023 |
| A retrospective analysis of remote-sensing reflectance products in coastal and inland waters N Pahlevan, S Balasubramanian, CC Begeman, RE O’Shea, A Ashapure, ... IEEE Geoscience and Remote Sensing Letters 21, 1-5, 2024 | 3 | 2024 |
| Leveraging multimission satellite data for spatiotemporally coherent cyanoHAB monitoring KC Fickas, RE O’Shea, N Pahlevan, B Smith, SL Bartlett, JL Wolny Frontiers in Remote Sensing 4, 1157609, 2023 | 2 | 2023 |
| Simulation framework for evaluating lightweight spectral cameras in drone-based aquatic sensing applications RE O’Shea, SR Laney Applied Optics 59 (10), C52-C62, 2020 | 2 | 2020 |
| Mixture density networks for re-constructing historical ocean-color products over inland and coastal waters: demonstration and validation SV Balasubramanian, RE O’Shea, AM Saranathan, CC Begeman, ... Frontiers in Remote Sensing 6, 1488565, 2025 | | 2025 |
| A machine-learning-centered atmospheric correction model for multi-and hyperspectral satellite observations N Pahlevan, A Ashapure, W Wainwright, B Smith, RE O'Shea, ... 2024 Ocean Sciences Meeting, 2024 | | 2024 |
| MODIS and VIIRS aquatic algorithm development & application to inland water bodies: Case study Western US terminal lakes K Casey, N Pahlevan, RE O'Shea, DK Hall, L Jansen Chapman Conference on Remote Sensing of the Water Cycle, 2024 | | 2024 |
| Integrating MODIS imagery with blue hole sediment stratigraphy to improve understanding of storm-induced sediment processes on carbonate platforms EJ Wallace, R O'Shea AGU Fall Meeting Abstracts 2023 (2423), EP43C-2423, 2023 | | 2023 |
| A machine-learning-centered workflow for estimating water-column products and their uncertainties in inland and coastal waters from PACE's Ocean Color Instrument A Saranathan, R O'Shea, N Pahlevan AGU Fall Meeting Abstracts 2023 (919), GC11H-0919, 2023 | | 2023 |
| Aquaverse: An Aquatic inversion scheme for remote sensing of fresh and coastal waters A Ashapure, N Pahlevan, B Smith, W Wainwright, R O'Shea, ... AGU Fall Meeting Abstracts 2023 (678), GC51G-0678, 2023 | | 2023 |
| Improving Cyanobacteria Biomass Estimation from Hyperspectral Satellite Imagery Using Mixture Density Networks R O'Shea, N Pahlevan, B Smith AGU Fall Meeting Abstracts 2021, A15A-1593, 2021 | | 2021 |
| Computational approaches for sub-meter ocean color remote sensing RE O'Shea Massachusetts Institute of Technology, 2021 | | 2021 |
| Assessing the Spectral Signal-to-noise Ratio of Hyperspectral Cameras for Ocean Color Sensing RE O’Shea, SR Laney, JE Rheuban Hyperspectral Imaging and Sounding of the Environment, HW6B. 3, 2019 | | 2019 |
| Aquaverse: A Machine Learning-Based Atmospheric Correction Framework for Inland and Coastal Waters A Ashapure, B Smith, R O'Shea, DA Maciel, A Saranathan, ... Available at SSRN 5078832, 0 | | |