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Document Type: Journal Article Author: David Thompson Author: Robert Green

1 to 10 of 21 Results

An Accuracy Assessment of the Surface Reflectance Product from the EMIT Imaging SpectrometerEmbargoed Mar 18, 2024 Willow Coleman, 2024, "An Accuracy Assessment of the Surface Reflectance Product from the EMIT Imaging Spectrometer", https://doi.org/10.48577/jpl.4ZAXN0, ESSOAr, JPL Open Repository The Earth surface Mineral dust source InvesTigation (EMIT) is an imaging spectrometer launched to the International Space Station in July 2022 to measure the mineral composition of Earth’s dust-producing regions. We present a systematic accuracy assessment of the EMIT surface ref...
On-orbit Calibration and Performance of the EMIT Imaging SpectrometerEmbargoed Jan 3, 2024 David Thompson, 2024, "On-orbit Calibration and Performance of the EMIT Imaging Spectrometer", https://doi.org/10.48577/jpl.WS8ZJC, Remote Sensing of Environment, JPL Open Repository The Earth Mineral Dust source InvesTigation (EMIT) is a remote orbital visible shortwave infrared (VSWIR) imaging spectrometer, also known as a hyperspectral imager. This article describes the EMIT spectroradiometric calibration and on-orbit validation experiments. EMIT was launc...
Modeling dust mineralogical composition: sensitivity to soil mineralogy atlases and their expected climate impactsEmbargoed Oct 26, 2023 David Thompson, 2023, "Modeling dust mineralogical composition: sensitivity to soil mineralogy atlases and their expected climate impacts", https://doi.org/10.48577/jpl.IEJKBS, Atmospheric Chemistry and Physics, JPL Open Repository Soil dust aerosols are a key component of the climate system, as they interact with short- and long-wave radiation, alter cloud formation processes, affect atmospheric chemistry and play a role in biogeochemical cycles by providing nutrient inputs such as iron and phosphorus. The...
Attribution of individual methane and carbon dioxide emission sources using 5 EMIT observations from spaceEmbargoed Jul 25, 2023 Andrew Thorpe, 2023, "Attribution of individual methane and carbon dioxide emission sources using 5 EMIT observations from space", https://doi.org/10.48577/jpl.7FJAGQ, Science Advances, JPL Open Repository Carbon dioxide and methane emissions are the two primary anthropogenic climate-forcing agents and an important source of uncertainty in the global carbon budget. Uncertainties are further magnified when emissions occur at fine spatial scales (<1 km), making attribution challengin...
Shape from Spectra Feb 7, 2023 Nimrod Carmon, 2023, "Shape from Spectra", https://doi.org/10.48577/jpl.HP66U7, Remote Sensing of Environment, JPL Open Repository We introduce a new unified atmospheric-topographic correction approach that estimates surface geometry directly from the radiance measurement. Surface topography influences the at-sensor radiance measurement, making precise topography modeling critical in applications like vegeta...
Optimal estimation of snow and ice surface parameters from imaging spectroscopy measurements Jul 21, 2021 David Thompson, 2021, "Optimal estimation of snow and ice surface parameters from imaging spectroscopy measurements", https://doi.org/10.48577/jpl.WUC1VU, Remote Sensing of Environment, JPL Open Repository Snow and ice melt processes are key indicators of climate change, and may be assessed with remote sensing instruments. These processes decrease the surface reflectance with unique spectral patterns due to the accumulation of liquid water and light absorbing particles (LAP), makin...
Spectral Fidelity of Earth's Terrestrial and Aquatic Ecosystems Jul 6, 2021 David Thompson, 2021, "Spectral Fidelity of Earth's Terrestrial and Aquatic Ecosystems", https://doi.org/10.48577/jpl.IH61EA, Journal of Geophysical Research: Biogeosciences, JPL Open Repository The Surface Biology and Geology (SBG) investigation aspires to create global maps of spectral surface reflectance and emissivity at a cadence of 16 days or better. For the first time these spectroscopic maps will have coverage to address global system-level questions about Earth'...
Generalized radiative transfer emulation for imaging spectroscopy reflectance retrievals May 4, 2021 Philip Brodrick, 2021, "Generalized radiative transfer emulation for imaging spectroscopy reflectance retrievals", https://doi.org/10.48577/jpl.4RZT8Z, Remote Sensing of Environment, JPL Open Repository Derivations of surface reflectance from observed radiance are fundamentallytied to the accuracy of the radiative transfer models used to simulate the interaction of light with the atmosphere and surface. These radiative transfer models are parameterized bya wide range of quantiti...
Scene Invariants for Quantifying Radiative Transfer Uncertainty Apr 12, 2021 David Thompson, 2021, "Scene Invariants for Quantifying Radiative Transfer Uncertainty", https://doi.org/10.48577/jpl.3ZZUCD, Remote Sensing of Environment, JPL Open Repository Remote imaging spectroscopy investigations typically use Radiative Transfer Models (RTMs) to predict the measured radiance at the sensor given a specific surface and atmospheric state. Discrepancies between RTM model assumptions and physical reality can lead to subtle and systema...
The EMIT mission information yield for mineral dust radiative forcing Mar 4, 2021 David Thompson, 2021, "The EMIT mission information yield for mineral dust radiative forcing", https://doi.org/10.48577/jpl.SIUKQY, Remote Sensing of Environment, JPL Open Repository The influence of mineral dust is one of the largest uncertainties in global radiative forcing. To address this challenge, NASA’s Earth Mineral dust source InvesTigation (EMIT) will map the mineralogy of Earth’s mineral dust forming regions, constraining the composition of mineral...

An Accuracy Assessment of the Surface Reflectance Product from the EMIT Imaging SpectrometerEmbargoed

Mar 18, 2024

Willow Coleman, 2024, "An Accuracy Assessment of the Surface Reflectance Product from the EMIT Imaging Spectrometer", https://doi.org/10.48577/jpl.4ZAXN0, ESSOAr, JPL Open Repository

The Earth surface Mineral dust source InvesTigation (EMIT) is an imaging spectrometer launched to the International Space Station in July 2022 to measure the mineral composition of Earth’s dust-producing regions. We present a systematic accuracy assessment of the EMIT surface ref...

On-orbit Calibration and Performance of the EMIT Imaging SpectrometerEmbargoed

Jan 3, 2024

David Thompson, 2024, "On-orbit Calibration and Performance of the EMIT Imaging Spectrometer", https://doi.org/10.48577/jpl.WS8ZJC, Remote Sensing of Environment, JPL Open Repository

The Earth Mineral Dust source InvesTigation (EMIT) is a remote orbital visible shortwave infrared (VSWIR) imaging spectrometer, also known as a hyperspectral imager. This article describes the EMIT spectroradiometric calibration and on-orbit validation experiments. EMIT was launc...

Modeling dust mineralogical composition: sensitivity to soil mineralogy atlases and their expected climate impactsEmbargoed

Oct 26, 2023

David Thompson, 2023, "Modeling dust mineralogical composition: sensitivity to soil mineralogy atlases and their expected climate impacts", https://doi.org/10.48577/jpl.IEJKBS, Atmospheric Chemistry and Physics, JPL Open Repository

Soil dust aerosols are a key component of the climate system, as they interact with short- and long-wave radiation, alter cloud formation processes, affect atmospheric chemistry and play a role in biogeochemical cycles by providing nutrient inputs such as iron and phosphorus. The...

Attribution of individual methane and carbon dioxide emission sources using 5 EMIT observations from spaceEmbargoed

Jul 25, 2023

Andrew Thorpe, 2023, "Attribution of individual methane and carbon dioxide emission sources using 5 EMIT observations from space", https://doi.org/10.48577/jpl.7FJAGQ, Science Advances, JPL Open Repository

Carbon dioxide and methane emissions are the two primary anthropogenic climate-forcing agents and an important source of uncertainty in the global carbon budget. Uncertainties are further magnified when emissions occur at fine spatial scales (<1 km), making attribution challengin...

Shape from Spectra

Feb 7, 2023

Nimrod Carmon, 2023, "Shape from Spectra", https://doi.org/10.48577/jpl.HP66U7, Remote Sensing of Environment, JPL Open Repository

We introduce a new unified atmospheric-topographic correction approach that estimates surface geometry directly from the radiance measurement. Surface topography influences the at-sensor radiance measurement, making precise topography modeling critical in applications like vegeta...

Optimal estimation of snow and ice surface parameters from imaging spectroscopy measurements

Jul 21, 2021

David Thompson, 2021, "Optimal estimation of snow and ice surface parameters from imaging spectroscopy measurements", https://doi.org/10.48577/jpl.WUC1VU, Remote Sensing of Environment, JPL Open Repository

Snow and ice melt processes are key indicators of climate change, and may be assessed with remote sensing instruments. These processes decrease the surface reflectance with unique spectral patterns due to the accumulation of liquid water and light absorbing particles (LAP), makin...

Spectral Fidelity of Earth's Terrestrial and Aquatic Ecosystems

Jul 6, 2021

David Thompson, 2021, "Spectral Fidelity of Earth's Terrestrial and Aquatic Ecosystems", https://doi.org/10.48577/jpl.IH61EA, Journal of Geophysical Research: Biogeosciences, JPL Open Repository

The Surface Biology and Geology (SBG) investigation aspires to create global maps of spectral surface reflectance and emissivity at a cadence of 16 days or better. For the first time these spectroscopic maps will have coverage to address global system-level questions about Earth'...

Generalized radiative transfer emulation for imaging spectroscopy reflectance retrievals

May 4, 2021

Philip Brodrick, 2021, "Generalized radiative transfer emulation for imaging spectroscopy reflectance retrievals", https://doi.org/10.48577/jpl.4RZT8Z, Remote Sensing of Environment, JPL Open Repository

Derivations of surface reflectance from observed radiance are fundamentallytied to the accuracy of the radiative transfer models used to simulate the interaction of light with the atmosphere and surface. These radiative transfer models are parameterized bya wide range of quantiti...

Scene Invariants for Quantifying Radiative Transfer Uncertainty

Apr 12, 2021

David Thompson, 2021, "Scene Invariants for Quantifying Radiative Transfer Uncertainty", https://doi.org/10.48577/jpl.3ZZUCD, Remote Sensing of Environment, JPL Open Repository

Remote imaging spectroscopy investigations typically use Radiative Transfer Models (RTMs) to predict the measured radiance at the sensor given a specific surface and atmospheric state. Discrepancies between RTM model assumptions and physical reality can lead to subtle and systema...

The EMIT mission information yield for mineral dust radiative forcing

Mar 4, 2021

David Thompson, 2021, "The EMIT mission information yield for mineral dust radiative forcing", https://doi.org/10.48577/jpl.SIUKQY, Remote Sensing of Environment, JPL Open Repository

The influence of mineral dust is one of the largest uncertainties in global radiative forcing. To address this challenge, NASA’s Earth Mineral dust source InvesTigation (EMIT) will map the mineralogy of Earth’s mineral dust forming regions, constraining the composition of mineral...

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