Publications
| Title | Author | Year | Periodical | DOI |
|---|---|---|---|---|
| Identifying and quantifying greenhouse gas emissions with the AVIRIS-3 airborne imaging spectrometer | R. Willow Coleman, et al. |
2026 | Remote Sensing of Environment | https://doi.org/10.1016/j.rse.2025.115058 |
| SpectralUnmixing: A general Julia package for unmixing spectroscopy data | P. Brodrick, et al. | 2026 | The Journal of Open Source Software | https://joss.theoj.org/papers/10.21105/joss.09149 |
| Soil and vegetation cover estimation for global imaging spectroscopy using spectral mixture analysis | F. Ochoa, et al. |
2025 | Remote Sensing of Environment | https://doi.org/10.1016/j.rse.2025.114746 |
| Improved Atmospheric Correction for Remote Imaging Spectroscopy Missions with Accelerated Optimal Estimation |
J. Susiluoto, et al. | 2025 | Remote Sensing | https://doi.org/10.3390/rs17223719 |
| Spectroscopic Characterization of Built Environments in China | C. Small & D. Sousa | 2025 | Remote Sensing | https://doi.org/10.3390/rs17213642 |
| Global Identification of Solid Waste Methane Super Emitters Using Hyperspectral Satellites | X. Zhang, et al. | 2025 | Environmental Science & Technology | https://doi.org/10.1021/acs.est.4c14196 |
| Direct measurement of plume velocity to characterize point source emissions | M. Eastwood, et al. | 2025 | PNAS | https://doi.org/10.1073/pnas.2507350122 |
| Characterising mineral chemistry variation as a proxy for fluid composition using EMIT spaceborne hyperspectral data | B. Portela, et al. | 2025 | Ore Geology Reviews | https://doi.org/10.1016/j.oregeorev.2025.106673 |
| Hyperspectral and LiDAR space-borne data for assessing mountain forest volume and biomass | R. Ceriani, et al. | 2025 | International Journal of Applied Earth Observation and Geoinformation | https://doi.org/10.1016/j.jag.2025.104614 |
| Global-scale detection of plastic from space with the EMIT imaging spectrometer | R.Estrela, et al. | 2025 | Geophysical Research Letters | https://doi.org/10.1029/2024GL112416 |
| Imaging Spectroscopy for Enhancing Regional Coastal Wetland Extent Monitoring | P. Thakali, et al. | 2025 | JGR Biogeosciences | https://doi.org/10.1029/2025JG008771 |
| Do we still need reflectance? From radiance to snow properties in mountainous terrain: a case study with the EMIT imaging spectrometer | N. Bohn, et al. | 2025 | The Cryosphere | https://doi.org/10.5194/tc-19-1279-2025 |
| Simultaneous modeling of water leaving reflectance and sun and sky glint contributions from imaging spectroscopy measurements | N. Bohn, et al. | 2025 | Applied Optics | https://doi.org/10.1364/AO.569763 |
| SpecTf: Transformers enable data-driven imaging spectroscopy cloud detection | J. Lee, et al. | 2025 | PNAS | https://www.pnas.org/doi/10.1073/pnas.2502903122 |
| Soil and vegetation cover estimation for global imaging spectroscopy using spectral mixture analysis | F. Ochoa, et al. | 2025 | Remote Sensing of Environment | https://doi.org/10.1016/j.rse.2025.114746 |
| Hyperspectral characterization of wastewater in the Tijuana River Estuary using laboratory, field, and EMIT spaceborne spectroscopy | E. Scrivner, et al. | 2025 | Science of the Total Environment | https://doi.org/10.1016/j.scitotenv.2025.179598 |
| Methane plume detection and quantification using EMIT hyperspectral data | E. Smith, et al. | 2025 | SPIE | https://doi.org/10.1117/12.3051085 |
| Identification of False Methane Plumes for Orbital Imaging Spectrometers: A Case Study with EMIT | C. Xiang, et al. | 2025 | Remote Sensing of Environment | https://doi.org/10.1016/j.rse.2025.114860 |
| PhA-MOE: Enhancing Hyperspectral Retrievals for Phytoplankton Absorption Using Mixture-of-Experts | W. Wang, et al. | 2025 | Remote Sensing | https://doi.org/10.3390/rs17122103 |
| Variational Autoencoder Framework for Hyperspectral Retrievals (Hyper-VAE) of Phytoplankton Metrics in Coastal Waters for NASA's EMIT and PACE Missions | J. Lou, et al. | 2025 | IEEE | https://doi.org/10.1109/TGRS.2025.3566417 |
| Dust Direct Radiative Effect Including Large Particles and Component Minerals | L.Li, et al. | 2025 | Geophysical Research Letters | https://doi.org/10.1029/2025GL119383 |
| Hyperspectral characterization of wastewater in the Tijuana River Estuary using laboratory, field, and EMIT satellite spectroscopy | E. Scrivner, et al. | 2025 | Science of The Total Environment | https://doi.org/10.1016/j.scitotenv.2025.179598 |
| Evaluation of methane emission from landfill based on EMIT | X. Cai, et al. | 2025 | SPIE | https://doi.org/10.1117/12.3084684 |
| Absolute Vicarious Calibration, Extended PICS (EPICS) Based De-Trending and Validation of Hyperspectral Hyperion, DESIS, and EMIT | H. Monali Adrija, et al. | 2025 | Remote Sensing | https://doi.org/10.3390/rs17071301 |
| Inter-comparison of NOAA-21/NOAA-20/S-NPP VIIRS solar reflective bands (RSB) with PACE OCI and JPL EMIT hyperspectral observations | W. Wang & C. Cao | 2025 | SPIE | https://doi.org/10.1117/12.3040408 |
| Towards advanced mapping of plastic greenhouses from EMIT, EnMAP and PRISMA hyperspectral missions | S. Garaba | 2025 | Environmental Challenges | https://doi.org/10.1016/j.envc.2025.101398 |
| Attributing Methane and CO2 Plumes by Emission Sector with the EMIT and AVIRIS-3 Imaging Spectrometers | A. Thorpe, et al. | 2024 | IEEE | https://doi.org/10.1109/IGARSS53475.2024.10641398 |
| A Spectral and Spatial Comparison of Satellite-Based Hyperspectral Data for Geological Mapping | R. Chakraboty, et al. | 2024 | Remote Sensing | https://doi.org/10.3390/rs16122089 |
| Imaging spectroscopy: Earth and planetary remote sensing with the PSI Tetracorder and expert systems: from Rovers to EMIT and Beyond | R. Clark, et al. | 2024 | The Planetary Science Journal | https://iopscience.iop.org/article/10.3847/PSJ/ad6c3a |
| Comparing Point Source CO2 Emission Rate Estimates From Near-Simultaneous OCO-3 and EMIT Observations | R. Nelson, et al. | 2024 | Geophysical Research Letters | https://doi.org/10.1029/2024GL113002 |
| Application of Normalized Radar Backscatter and Hyperspectral Data to Augment Rangeland Vegetation Fractional Classification | M. Rigge, et al. | 2024 | Remote Sensing | https://doi.org/10.3390/rs16132315 |
| System Characterization Report on the Earth Surface Mineral Dust Source Investigation (EMIT) Sensor | M. Shrestha, et al. | 2024 | USGS | https://doi.org/10.3133/ofr20211030R |
| Improved constraints on hematite refractive index for estimating climatic effects of dust aerosols | L. Li, et al. | 2024 | Communications Earth & Environment | https://doi.org/10.1038/s43247-024-01441-4 |
| Reflectance spectra collected August 16, 2022, at Smith Creek Valley, Nevada, with an ASD FieldSpecⓇ 4 Hi-Res NG spectrometer for calibration/validation of imaging spectrometer data | J. Meyer, et al. | 2024 | USGS | https://doi.org/10.5066/P9E2TSDF |
| Sensitivity and Uncertainty in Matched-Filter-Based Gas Detection With Imaging Spectroscopy | J. Fahlen, et al. | 2024 | IEEE | https://doi.org/10.1109/TGRS.2024.3440174 |
| On-orbit calibration and performance of the EMIT imaging spectrometer | D. Thompson, et al. | 2024 | Remote Sensing of Environment | https://doi.org/10.1016/j.rse.2023.113986 |
| The Standardized Spectroscopic Mixture Model | C. Small & D. Sousa | 2024 | Remote Sensing | https://doi.org/10.3390/rs16203768 |
| Spectroscopic Phenological Characterization of Mangrove Communities | C. Small & D. Sousa | 2024 | Remote Sensing | https://doi.org/10.3390/rs16152796 |
| HyperCoast: A Python Package for Visualizing and Analyzing Hyperspectral Data in Coastal Environments | B. Liu & Q. Wu | 2024 | The Journal of Open Source Software | https://doi.org/10.21105/joss.07025 |
| Quantifying the dust direct radiative effect in the Southwestern United States: findings from multiyear measurement (ACP) | A. Kuwano, et al. | 2024 | Atmospheric Chemistry and Physics | https://acp.copernicus.org/articles/24/9843/2024/ |
| Probability of Detection and Multi-Sensor Persistence of Methane Emissions from Coincident Airborne and Satellite Observations | A. Ayasse, et al. | 2024 | Environmental Science & Technology | https://doi.org/10.1021/acs.est.4c06702 |
| Characterization of the particle size distribution, mineralogy, and Fe mode of occurrence of dust-emitting sediments from the Mojave Desert, California, USA | A. Gonzalez-Romero, et al. | 2024 | Atmospheric Chemistry and Physics | https://doi.org/10.5194/acp-24-9155-2024 |
| Imaging Spectroscopy: Earth and Planetary Remote Sensing with the PSI Tetracorder and Expert Systems from Rovers to EMIT and Beyond. | R. N. Clark, et al. | 2024 | The Planetary Science Journal | https://doi.org/10.3847/PSJ/ad6c3a |
| Improved constraints on hematite refractive index for estimating climatic effects of dust aerosols | L. Li, et al. | 2024 | Communications Earth & Environment | https://doi.org/10.1038/s43247-024-01441-4 |
| Assessing Rice Phenological Features with Hyperspectral Imaging Insights from Earth Surface Mineral Dust Source Investigation (EMIT) | S. Fazil, et al. | 2024 | IEEE | https://doi.org/10.1109/IGARSS53475.2024.10640540 |
| Detecting Methane Emissions from Space Over India: Analysis Using EMIT and Sentinel-5P TROPOMI Datasets | A. Siddiqui, et al. | 2024 | Journal of the Indian Society of Remote Sensing | https://doi.org/10.1007/s12524-024-01925-y |
| Exploring the Potential of EMIT Hyperspectral Data for Assessing Forest Biomass: An Alpine Case Study | R. Ceriani, et al. | 2024 | IEEE | https://doi.org/10.1109/WHISPERS65427.2024.10876511 |
| Modeling global indices for estimating non-photosynthetic vegetation cover | P. E. Dennison, et al. | 2023 | Remote Sensing of Environment | https://doi.org/10.1016/j.rse.2023.113715 |
| Vicarious CAL/VAL Approach for Orbital Hyperspectral Sensors Using Multiple Sites | D. Heller Pearlshtien, et al. | 2023 | Remote Sensing | https://doi.org/10.3390/rs15030771 |
| Estimating dust on snow - Application of a coupled atmosphere-surface model to spaceborne EMIT imaging spectrometer data | N. Bohn, et al. | 2023 | IEEE | https://doi.org/10.1109/IGARSS52108.2023.10283084 |
| The Development of a Dust Mineralogy Map from Satellite Retrievals and Implementation in WRF-Chem | S. Solomos, et al. | 2023 | Environmental Sciences Proceedings | https://doi.org/10.3390/environsciproc2023026054 |
| Topological Generality and Spectral Dimensionality in the Earth Mineral Dust Source Investigation (EMIT) Using Joint Characterization and the Spectral Mixture Residual | D. Sousa & C. Small | 2023 | Remote Sensing | https://doi.org/10.3390/rs15092295 |
| Attribution of individual methane and carbon dioxide emission sources using EMIT observations from space | A. Thorpe, et al. | 2023 | Science Advances | https://doi.org/10.1126/sciadv.adh2391 |
| Mapping, quantifying, and attributing methane and carbon dioxide emissions from space using EMIT | A. K. Thorpe, et al. | 2023 | Science Advances | https://doi.org/10.1126/sciadv.adh2391 |
| On-orbit Calibration and Performance of the EMIT Imaging Spectrometer | D. R. Thompson, et al. | 2023 | Remote Sensing of Environment | https://doi.org/10.22541/essoar.168988432.29040205/v1 |
| Performance and Early Results from the Earth Surface Mineral Dust Source Investigation (EMIT) Imaging Spectroscopy Mission | R. O. Green, et al. | 2023 | 2023 IEEE Aerospace conference pp.1-10 | https://doi.org/10.1109/AERO55745.2023.10115851 |
| Mapping Earth’s Dust-Emitting Regions from the ISS with the EMIT Imaging Spectrometer | B. V. Oaida, et al. | 2022 | IEEE | https://doi.org/10.1109/AERO53065.2022.9843581 |
| Generalized radiative transfer emulation for imaging spectroscopy reflectance retrievals | P. G. Brodrick, et al | 2021 | Remote Sensing of Environment 261 | https://doi.org/10.1016/j.rse.2021.112476 |
| The EMIT Mission Information Yield for Mineral Dust Radiative Forcing | D. S. Connelly, et al | 2021 | Remote Sensing of Environment 258 | https://doi.org/10.1016/j.rse.2021.112380 |
| The Earth Surface Mineral Dust Source Investigation: An Earth Science Imaging Spectroscopy Mission. | Green, Robert O., Natalie Mahowald, Charlene Ung, David R. Thompson, Lori Bator, Matthew Bennet, Michael Bernas et al. | 2020 | 2020 IEEE Aerospace Conference pp. 1-15 | https://doi.org/10.1109/AERO47225.2020.9172731 |
| Quantifying the range of the dust direct radiative effect due to source mineralogy uncertainty. | Li, Longlei, Natalie M. Mahowald, Ron L. Miller, Carlos Pérez García-Pando, Martina Klose, Douglas S. Hamilton, Maria Gonçalves Ageitos et al. | 2020 | Atmospheric Chemistry and Physics Discussions, pp.1-58 | https://doi.org/10.5194/acp-21-3973-2021 |
| NASA's Earth Surface Mineral Dust Source Investigation | Green, R. O.; Mahowald, N. M.; Clark, R. N.; Ehlmann, B. L.; Ginoux, P. A.; Kalashnikova, O. V.; Miller, R. L.; Okin, G.; Painter, T. H.; Pérez García-Pando, C.; Realmuto, V. J.; Swayze, G. A.; Thompson, D. R.; Middleton, E.; Guanter, L.; Ben Dor, E.; Phillips, B. R. | 2018 | AGU Fall Meeting Abstracts | http://adsabs.harvard.edu/abs/2018AGUFM.A24D..01G |
| Optimal estimation for imaging spectrometer atmospheric correction | Thompson, David R.; Natraj, Vijay; Green, Robert O.; Helmlinger, Mark C.; Gao, Bo-Cai; Eastwood, Michael L. | 2018 | Remote Sensing of Environment | http://dx.doi.org/10.1016/j.rse.2018.07.003 |
| Modeling dust as component minerals in the Community Atmosphere Model: Development of framework and impact on radiative forcing | Scanza, R. A.; Mahowald, N.; Ghan, S.; Zender, C. S.; Kok, J. F.; Liu, X.; Zhang, Y.; Albani, S. | 2015 | Journal of Geophysical Research: Atmospheres | http://dx.doi.org/10.1029/2005JD005796 |
| Aerosol impacts on climate and biogeochemistry | Mahowald, N., Ward, D.S., Kloster, S., Flanner, M.G., Heald, C.L., Heavens, N.G., Hess, P.G., Lamarque, J.F. and Chuang, P.Y. | 2011 | Annual review of environment and resources | http://dx.doi.org/10.1146/annurev-environ-042009-094507 |
| Impact of dust radiative forcing upon climate. In Mineral Dust: A Key Player in the Earth System | Miller, R.L., Cakmur, R.V., Perlwitz, J., Geogdzhayev, I.V., Ginoux, P., Koch, D., Kohfeld, K.E., Prigent, C., Ruedy, R., Schmidt, G.A. and Tegen, I. | 2006 | Journal of Geophysical Research: Atmospheres | http://dx.doi.org/10.1029/2005JD005796 |
| Imaging spectroscopy: Earth and planetary remote sensing with the USGS Tetracorder and expert systems | Clark, Roger N., Gregg A. Swayze, K. Eric Livo, Raymond F. Kokaly, Steve J. Sutley, J. Brad Dalton, Robert R. McDougal, and Carol A. Gent. | 2003 | Journal of Geophysical Research: Planets | http://dx.doi.org/10.1029/2002JE001847 |
| On-orbit radiometric and spectral calibration characteristics of EO-1 Hyperion derived with an underflight of AVIRIS and in situ measurements at Salar de Arizaro, Argentina | Green, R.O.; Pavri, B.E.; Chrien, T.G. | 2003 | IEEE Transactions on Geoscience and Remote Sensing | http://dx.doi.org/10.1109/TGRS.2003.813204 |
| Imaging Spectroscopy and the Airborne Visible/Infrared Imaging Spectrometer (AVIRIS) | Green, Robert O; Eastwood, Michael L; Sarture, Charles M; Chrien, Thomas G; Aronsson, Mikael; Chippendale, Bruce J; Faust, Jessica A; Pavri, Betina E; Chovit, Christopher J; Solis, Manuel; Olah, Martin R; Williams, Orlesa | 1998 | Remote Sensing of Environment | http://dx.doi.org/10.1016/S0034-4257(98)00064-9 |