Seuraa
Jeremy Kravitz
Jeremy Kravitz
Postdoctoral Fellow, NASA Ames Research Center
Vahvistettu sähköpostiosoite verkkotunnuksessa nasa.gov
Nimike
Viittaukset
Viittaukset
Vuosi
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
772020
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
272023
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
202021
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
22023
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, ...
22023
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
12023
Scalable Hyperspectral Inversion with Uncertainty Quantification
L Hopkins, N LaHaye, J Kravitz, S Mauceri
AGU Fall Meeting Abstracts 2022, GC42D-0742, 2022
12022
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
12022
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
12022
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
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, ...
AGU23, 2023
2023
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
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
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
Opportunities and Challenges using Observations and Simulated Data for Machine-Learning-Based Retrievals of Water Quality
N LaHaye, L Hopkins, J Kravitz, S Mauceri
Fall Meeting 2022, 2022
2022
Atmospheric Radiative Transfer and Light Scattering Theory Posters
F Xu, V Natraj, G McGarragh, J Kravitz
Collective Madison Meeting, 2022
2022
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Artikkelit 1–20