Performance and Early Results from the Earth Surface Mineral Dust Source Investigation (EMIT) Imaging Spectroscopy Mission

Green, Robert O.; Mahowald, N. M.; Thompson, David R.; Brodrick, Philip G.; Pollock, Randy; Bennett, Matthew W.; Lundeen, S.; Joyce, Michael; Olson-Duvall, Winston; Oaida, Bogdan; Bradley, Christine; Diaz, Ernesto; Clark, R. N.; Vannan, S. K. Santhana; Swayze, Gregg A.; Kokaly, Ray; Ginoux, Paul; Miller, Ron; Okin, Gregory S.; García‐Pando, Carlos Pérez; Ehlmann, B. L.; Калашникова, О. В.; Painter, T. H.; Realmuto, Vincent J.; Chadwick, Dana K.; Ben‐Dor, Eyal; Pearlshtien, Daniela Heller; Guanter, Luis; Phillips, Benjamin L.; Reath, K.; Thorpe, A. K.; Shaw, Lucas; Keebler, Abigail; Ochoa, Francisco; Grant, Kathleen A.; Sen, Amit; Duren, Riley; Obiso, Vincenzo; Gonçalves, M.; Huang, Yongjun

doi:10.1109/aero55745.2023.10115851

Cited by 10 publications

(3 citation statements)

References 24 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…All relevant calibration data are expected to be made publicly available online following NASA's Earth Data and Information Policy (ESDS, 2023). SBG will have heritage calibration using land targets and the dark side of Earth pioneered with the EMIT imaging spectrometer on the space station (Green et al, 2023).…”

Section: Calibration and Validationmentioning

confidence: 99%

Synergies Between NASA's Hyperspectral Aquatic Missions PACE, GLIMR, and SBG: Opportunities for New Science and Applications

Dierssen,

Gierach,

Guild

et al. 2023

JGR Biogeosciences

View full text Add to dashboard Cite

Within the next decade, NASA plans to launch three new missions with imaging spectrometers for aquatic science and applications: Plankton, Aerosol, Cloud, ocean Ecosystem (PACE) in 2024, Geostationary Littoral Imaging Radiometer (GLIMR) in 2026, and Surface Biology and Geology (SBG) in 2028. Together these missions will evaluate long‐term trends in phytoplankton biomass linked to climate change, and provide new spectral capabilities to assess aquatic biogeochemistry, biophysics, and habitats. Hyperspectral measurements of ocean color, paired with advanced retrieval algorithms, can provide new information on phytoplankton community composition and water quality. We compare the mission architecture and sensor characteristics to identify the synergistic opportunities to merge algorithms, field data, and calibration and validation techniques. Each mission has unique temporal and spatial characteristics to monitor the aquatic transitions from watershed to open ocean ecosystems. SBG provides observations at high spatial scales to monitor emergent, floating, submerged and benthic habitats from inland to coastal waters. With global daily coverage, PACE can track the fate of material as it meanders offshore and provides an enhanced context for phytoplankton diversity and global biogeochemical cycling. GLIMR is optimized to resolve temporal processes that give rise to aquatic rates and fluxes including phytoplankton growth rates, physiology and episodic events such as storms. Applications with high spectral, spatial, and temporal resolution from these NASA missions include assessing carbon dynamics and biogeochemical cycling across the land‐ocean continuum, harmful algal blooms and oil spills.

show abstract

Section: Calibration and Validationmentioning

confidence: 99%

Synergies Between NASA's Hyperspectral Aquatic Missions PACE, GLIMR, and SBG: Opportunities for New Science and Applications

Dierssen,

Gierach,

Guild

et al. 2023

JGR Biogeosciences

View full text Add to dashboard Cite

show abstract

“…Current applications in the biosphere include the quantification of vegetation biophysical variables [3], estimates of plant traits [4], [5], description of genetic variation [6], characterization of species richness [7], or the assessment of functional diversity [8], [9]. Terrestrial applications are, for M. Vögtli, M. C. Schuman, M. E. Schaepman, M. Kneubühler, and A. Damm are with the University of Zurich, CH-8057 Zurich, Switzerland (e-mail: marius.voegtli@geo.uzh.ch, meredith.schuman@geo.uzh.ch, michael.schaepman@geo.uzh.ch, mathias.kneubuehler@geo.uzh.ch, alexander.damm@geo.uzh.ch) D. Schläpfer is with ReSe Applications LLC, CH-9500 Wil, Switzerland (e-mail: daniel@rese-apps.com) instance, the description of soil properties [10], [11] or mineral mapping [12], [13], [14]. In the hydrosphere or cryosphere, applications include the monitoring of aquatic ecosystems [15], the retrieval of water constituents [16], the assessment of glacier surface cover [17], or the characterization of snow properties [18], [19].…”

Section: Introductionmentioning

confidence: 99%

Effects of Atmospheric, Topographic, and BRDF Correction on Imaging Spectroscopy-Derived Data Products

Vögtli,

Schläpfer,

Schuman

et al. 2024

IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing

View full text Add to dashboard Cite

Surface reflectance is an important data product in imaging spectroscopy for obtaining surface information. The complex retrieval of surface reflectance, however, critically relies on accurate knowledge of atmospheric absorption and scattering, and the compensation of these effects. Furthermore, illumination and observation geometry in combination with surface reflectance anisotropy determine dynamics in retrieved surface reflectance not related to surface absorption properties. To our knowledge, no comprehensive assessment of the impact of atmospheric, topographic, and anisotropy effects on derived surface information is available so far. This study systematically evaluates the impact of these effects on reflectance, albedo, and vegetation products. Using three well-established processing schemes (ATCOR F., ATCOR R., and BREFCOR), high-resolution APEX imaging spectroscopy data, covering a large gradient of illumination and observation angles, are brought to several processing states, varyingly affected by mentioned effects. Pixel-wise differences of surface reflectance, albedo, and spectral indices of neighboring flight lines are quantitatively analyzed in their respective overlapping area. We found that compensation of atmospheric effects reveals actual anisotropy-related dynamics in surface reflectance and derived albedo, related to an increase in pixel-wise relative reflectance and albedo differences of more than 40%. Subsequent anisotropy compensation allows to successfully reduce apparent relative reflectance and albedo differences by up to 20%. In contrast, spectral indices are less affected by atmospheric and anisotropy effects, showing relative differences of 3% to 10% in overlapping regions of flight lines. We recommend to base decisions on the use of appropriate processing schemes on individual use cases considering envisioned data products.

show abstract

“…Most recently, Jet Propulsion Laboratory's (JPL) Earth Surface Mineral Dust Source Investigation (EMIT), an imaging spectrometer, was launched in 2022. It was integrated with the International Space Station (ISS) that provides a total of 275 bands with spectral range of 380-2500 nm with spectral sampling of 7.4 nm, having a spatial resolution of 60m (Bradley et al, 2020;Connelly et al, 2021;Green, 2022;Green et al, , 2023Sousa & Small, 2023). It detects methane in a spectral range of 2.2-2.4 μm .…”

Section: Introductionmentioning

confidence: 99%

Detecting Methane Emissions from Space in India: analysis using EMIT and Sentinel-5P TROPOMI datasets

Siddiqui,

Halder,

Kannemadugu

et al. 2024

Preprint

View full text Add to dashboard Cite

Methane (CH4) is a potent greenhouse gas and the second highest anthropogenic emissions are recorded from CH4 on Earth. Considering its high global warming potential, the monitoring of source locations is inadvertent. The paper presented here is the first attempt (to the best of our knowledge) to comprehensively analyse the methane emissions over multiple Indian locations using satellite data. It outlays a brief background of methane emission sensors and studies carried out worldwide for estimation of the GHG. It further enumerates the potential of Jet Propulsion Laboratory’s Earth Surface Mineral Dust Source Investigation (EMIT) and TROPOMI in highlighting the potential point sources of methane emissions and its concentration/emission flux in India. 17 unique plumes were identified using EMIT in states of Maharashtra (06), Rajasthan (04), Punjab (02), Gujarat (03) and Assam (02). Gujarat, Surat, Assam Uttar Pradesh and Haryana using TROPOMI were also studied. The hotspots showcase emission sources from solid waste landfill sites (SW), sewage treatment plant (STP), wetlands/marshy agriculture (WT), city sewage outlet (CS), oil and gas field (O&G), oil refinery (OR) and textile industry (TI). It was observed that EMIT can effectively be used for point source identification, monitoring and enhancement while TROPOMI is best suited for regional level methane monitoring. A sewage outlet (SO) plume in Maharashtra produced the maximum emission of 6202.9 ± 691.94 kg/hr followed by solid waste (SW) sites located in Pirana Landfill, Ahmedabad and Khajod Landfill, Surat in Gujarat. Methane monitoring is an important step towards mitigating enormous methane emissions and anomalous methane sources.

show abstract

Performance and Early Results from the Earth Surface Mineral Dust Source Investigation (EMIT) Imaging Spectroscopy Mission

Cited by 10 publications

References 24 publications

Synergies Between NASA's Hyperspectral Aquatic Missions PACE, GLIMR, and SBG: Opportunities for New Science and Applications

Synergies Between NASA's Hyperspectral Aquatic Missions PACE, GLIMR, and SBG: Opportunities for New Science and Applications

Effects of Atmospheric, Topographic, and BRDF Correction on Imaging Spectroscopy-Derived Data Products

Detecting Methane Emissions from Space in India: analysis using EMIT and Sentinel-5P TROPOMI datasets

Contact Info

Product

Resources

About