Application of Sentinel 3 OLCI for chl-a retrieval over small inland water targets: Successes and challenges J Kravitz, M Matthews, S Bernard, D Griffith Remote Sensing of Environment 237, 111562, 2020 | 84 | 2020 |
GLORIA - A globally representative hyperspectral in situ dataset for optical sensing of water quality MK Lehmann, D Gurlin, N Pahlevan, K Alikas, T Conroy, J Anstee, ... Scientific data 10 (1), 100, 2023 | 37 | 2023 |
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 J Kravitz, M Matthews, L Lain, S Fawcett, S Bernard Frontiers in Environmental Science 9, 587660, 2021 | 22 | 2021 |
Determining the spectral requirements for cyanobacteria detection for the CyanoSat hyperspectral imager with machine learning MW Matthews, J Kravitz, J Pease, S Gensemer Sensors 23 (18), 7800, 2023 | 2 | 2023 |
Simulated Inherent Optical Properties of Aquatic Particles using The Equivalent Algal Populations (EAP) model LR Lain, J Kravitz, M Matthews, S Bernard Scientific Data 10 (1), 412, 2023 | 2 | 2023 |
GLORIA-A globally representative hyperspectral in situ dataset for optical sensing of water quality [Data paper] MK Lehmann, D Gurlin, N Pahlevan, K Alikas, J Anstee, ... | 2 | 2023 |
The AquaSat-1 Mission Concept: Actionable Information on Water Quality and Aquatic Ecosystems for Australia and Western USA C Bright, D Ardila, E Hestir, TJ Malthus, M Matthews, DR Thompson, ... IGARSS 2023-2023 IEEE International Geoscience and Remote Sensing Symposium …, 2023 | 1 | 2023 |
Scalable Hyperspectral Inversion with Uncertainty Quantification L Hopkins, N LaHaye, J Kravitz, S Mauceri AGU Fall Meeting Abstracts 2022, GC42D-0742, 2022 | 1 | 2022 |
Validation of Machine Learning Algorithms for Hyperspectral Inversion of Common Water Quality Indicators J Kravitz, L Hopkins, N LaHaye, S Mauceri AGU Fall Meeting Abstracts 2022, GC33C-02, 2022 | 1 | 2022 |
NASA's Prototype Spectral Water Inversion Processor and Emulator (SWIPE): Towards Global Coastal and Inland Water Quality and Algal Biodiversity Monitoring J Kravitz, L Robertson-Lain, S Mauceri, L Hopkins, N LaHaye, T Norman, ... AGU Fall Meeting Abstracts 2022, B22D-1469, 2022 | 1 | 2022 |
Pushing the limits of aquatic remote sensing: Synthetic data and deep learning for fast inverse emulation of a coupled water-atmosphere radiative transfer model J Kravitz, LS Guild, L Lain, S Mauceri, N LaHaye, L Hopkins, IG Brosnan 2024 Ocean Sciences Meeting, 2024 | | 2024 |
Simulated Hyperspectral Inherent Optical Properties of Phytoplankton using the Equivalent Algal Populations (EAP) model L Lain, J Kravitz, M Matthews, S Bernard AGU23, 2023 | | 2023 |
Neural Network Atmospheric Correction of Remote Sensing Imagery Over Water Using a Synthetic Dataset M von Pohle, AA Asanjan, J Kravitz 23rd Meeting of the American Geophysical Union (AGU), 2023 | | 2023 |
CyanoSCape: Freshwater Phytoplankton and Floating Aquatic Vegetation Biodiversity of the South African Cape LS Guild, J Kravitz, JL Torres-Perez, L Lain, M Smith, R Mudzielwana, ... AGU Fall Meeting Abstracts 2023 (4), B23L-04, 2023 | | 2023 |
Advancing Management of Water Quality and Aquatic Ecosystems from Space: the Aquasat-1 Mission Concept DR Ardila, C Bright, E Hestir, TJ Malthus, M Matthews, DR Thompson, ... AGU Fall Meeting Abstracts 2023, GC54A-01, 2023 | | 2023 |
Advances in Ocean Surface Modeling to Correct for Sun and Sky Glint Contributions in Imaging Spectroscopy Measurements U Bohn, PG Brodrick, J Chapman, A Chlus, R Eckert, RO Green, M König, ... AGU Fall Meeting Abstracts 2023 (684), GC51G-0684, 2023 | | 2023 |
CyanoSCape: Freshwater Phytoplankton and Floating Aquatic Vegetation Biodiversity L Guild, J Kravitz, J Torres-Pérez, M Smith, L Lain, WM Gitari, ... Enhancing Science Applications of BioSCape Workshop, 2023 | | 2023 |
Author Correction: GLORIA - A globally representative hyperspectral in situ dataset for optical sensing of water quality MK Lehmann, D Gurlin, N Pahlevan, K Alikas, T Conroy, J Anstee, ... Scientific data 10 (1), 191, 2023 | | 2023 |
Pushing the Limits of Aquatic Remote Sensing: Synthetic Data and Deep Learning for Fast Inverse Emulation of A Coupled Ocean-Atmosphere Radiative Transfer Model JA Kravitz SG Seminar, 2023 | | 2023 |
Bio-optical and biogeochemical parameterization of IOP-traceable, hyperspectral Rrs datasets for transitional water applications L Lain, J Kravitz, ME Smith | | 2023 |