An accuracy assessment of the surface reflectance product from the EMIT imaging spectrometer

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 reflectance product in two parts. First, we characterize the surface reflectance product’s overall performance using multiple independent vicarious calibration field experiments with hand-held and automated field spectrometers. We find that the EMIT surface reflectance product has a standard error of ± 1 . 0 % in absolute reflectance units for temporally coincident observations. Discrepancies rise to ± 2 . 7 % for spectra acquired at different dates and times of day, which we attribute mainly to changes in solar geometry. Second, we develop an error budget that explains the differences between EMIT and in-situ field spectrometer data. We find that uncertainties in spatial footprints, field spectroscopy, and the EMIT-reported measurement were sufficient to explain discrepancies in most cases. Our approach did not detect any systematic calibration or reflectance errors in the timespan considered. Together, these findings demonstrate that a space-based imaging spectrometer can acquire high-quality spectra across a wide range of observational and atmospheric conditions. • We highlight the EMIT imaging spectrometer’s surface reflectance product performance. • The reflectance error at a typical arid land site is ± 1 . 0 % for coincident observations. • Our error budget captures variability between EMIT and in-situ reflectance values.

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Publication Details

Journal
Remote Sensing of Environment
Published
2024-10-07
DOI
https://doi.org/10.1016/j.rse.2024.114450
Citations
11
Primary Topic
Calibration and Measurement Techniques
Type
article
Field-Weighted Citation Impact
14.29
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An accuracy assessment of the surface reflectance product from the EMIT imaging spectrometer

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article

An accuracy assessment of the surface reflectance product from the EMIT imaging spectrometer

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article en
11 citations

Abstract

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 reflectance product in two parts. First, we characterize the surface reflectance product’s overall performance using multiple independent vicarious calibration field experiments with hand-held and automated field spectrometers. We find that the EMIT surface reflectance product has a standard error of ± 1 . 0 % in absolute reflectance units for temporally coincident observations. Discrepancies rise to ± 2 . 7 % for spectra acquired at different dates and times of day, which we attribute mainly to changes in solar geometry. Second, we develop an error budget that explains the differences between EMIT and in-situ field spectrometer data. We find that uncertainties in spatial footprints, field spectroscopy, and the EMIT-reported measurement were sufficient to explain discrepancies in most cases. Our approach did not detect any systematic calibration or reflectance errors in the timespan considered. Together, these findings demonstrate that a space-based imaging spectrometer can acquire high-quality spectra across a wide range of observational and atmospheric conditions. • We highlight the EMIT imaging spectrometer’s surface reflectance product performance. • The reflectance error at a typical arid land site is ± 1 . 0 % for coincident observations. • Our error budget captures variability between EMIT and in-situ reflectance values.

Remote Sensing of EnvironmentVol. 315
Institució Catalana de Recerca i Estudis Avançats (ES), United States Geological Survey (US), Jet Propulsion Laboratory (US), University of California, Los Angeles (US), Tel Aviv University (IL), Barcelona Supercomputing Center (ES), Universitat Politècnica de Catalunya (ES)
Openalex Percentile: Top 2%
Calibration and Measurement Techniques
14.29
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