UV linear stokes imaging of optically thin clouds

DeLeon, Clarissa M.; Heath, James W.; Espinosa, W. Reed; Wu, Dong L.; Kupinski, Meredith

doi:10.1117/12.2595161

Cited by 2 publications

(4 citation statements)

References 7 publications

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“…In prior work, the complex spectral absorption signature of wildfire smoke at shorter wavelengths motivated simulations of UV polarimetry for three distinct aerosol types: weakly absorbing, biomass burning, and dust. 2 These previous simulations demonstrated the benefits of multi-spectral, multi-angle, polarized measurements in the UV and visible wavelength range. 2 Specifically, multi-spectral measurements show benefits for optical depth retrievals, multi-angle measurements provide bidirectional reflection factor retrievals, and multi-angle polarimetry yields measurements of polarization signatures.…”

Section: Airmspi Wildfire Smoke Field Datamentioning

confidence: 82%

“…2 These previous simulations demonstrated the benefits of multi-spectral, multi-angle, polarized measurements in the UV and visible wavelength range. 2 Specifically, multi-spectral measurements show benefits for optical depth retrievals, multi-angle measurements provide bidirectional reflection factor retrievals, and multi-angle polarimetry yields measurements of polarization signatures. 18,19 Figure 1: RGB image of the three major plume regions, northern, southern (denoted by green box), and eastern.…”

Section: Airmspi Wildfire Smoke Field Datamentioning

confidence: 82%

“…However, this skylight polarization is disrupted by the presence of clouds and atmospheric particulates (aerosols). [1][2][3] The particle scattering is dominated by Rayleigh scattering when the particle size is an order of magnitude smaller than the wavelength of light. 4 When the particle diameter is an order of magnitude larger than the wavelength, Mie scattering dominates.…”

Section: Introductionmentioning

confidence: 99%

“…Radiance measurements at multiple angles and wavelengths, especially with polarization sensitivity, improve the determination of aerosol optical properties. 1,2 State-of-the-art satellite and airborne instruments have the aforementioned features. However, more advances are needed in ground-based optical instrumentation, especially for ground-station wildfire smoke monitoring.…”

Section: Introductionmentioning

confidence: 99%

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Simulating ground-based polarimetric responses using AirMSPI observations from the FIREX-AQ campaign

DeLeon,

Garay,

Kalashnikova

et al. 2023

Polarization Science and Remote Sensing XI

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Wildland fire smoke is one of the major sources of biomass-burning aerosols in the Earth's atmosphere. As the smoke plume evolves, the biomass-burning aerosols undergo aging processes that change their physical and chemical composition. Capturing rapid temporal changes is not suitable for satellites due to the time lapse between observations. Airborne remote sensing offers the ability to increase the spatial and temporal resolution of smoke plume observations compared to satellite observations. However, this increase in spatial and temporal resolution from airborne observations amplifies the need for better spatial coverage from ground-based instruments for validation. In the summer of 2019, the Airborne Multiangle Spectropolarimetric Imager (AirMSPI) was deployed during the Fire Influence on Regional to Global Environments and Air Quality (FIREX-AQ) field campaign on the NASA ER-2 high-altitude research aircraft. This aircraft performed multiple overpasses of the Williams Flats fire near the town of Spokane, Washington, USA, in August 2019, sampling smoke plumes at a georectifed spatial resolution of 10 m 2 . This work performs aerosol retrievals along the smoke plume observed during one flight on 7 August 2019. The retrieval methods used here follow those established by DeLeon et al. (in review ) using the Generalized Retrieval of Atmosphere and Surface Properties (GRASP). Two points along the plume were selected: one at 1.35km and the other at 3.78km from the fire source. The fraction of fine mode aerosols and single scattering albedo increased at the greater distance from this wildfire source. These retrieved aerosol properties were used to simulate ground-based polarimetry in ultraviolet, visible, and infrared wavebands. For all wavebands, the maximum degree of linear polarization (DoLP) decreased farther from the source. Notably, the ultraviolet wavebands retained a higher polarimetric signal farther from the source, compared to the visible and infrared. At 865 nm the DoLP decreased from 48.5% to 14.6%. At 355 nm the DoLP decreased from 33.6% to 22.5%. These polarimetric simulations are intended to inform instrument development for ground-based detection of wildfire smoke.

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Section: Airmspi Wildfire Smoke Field Datamentioning

confidence: 82%

Section: Airmspi Wildfire Smoke Field Datamentioning

confidence: 82%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Simulating ground-based polarimetric responses using AirMSPI observations from the FIREX-AQ campaign

DeLeon,

Garay,

Kalashnikova

et al. 2023

Polarization Science and Remote Sensing XI

Self Cite

View full text Add to dashboard Cite

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Laboratory Calibration of an Ultraviolet–Visible Imaging Spectropolarimeter

Shi

et al. 2022

Remote Sensing

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The ultraviolet–visible imaging spectropolarimeter (UVISP), developed by the Anhui Institute of Optics and Fine Mechanics (AIOFM), Chinese Academy of Science (CAS), is a dual-beam snapshot instrument for measuring the spectral, radiometric, and linear polarization information of absorbing aerosol in a wavelength range from 340 to 520 nm. In this paper, we propose a complete set of calibration methods for UVISP to ensure the accuracy of the measured radiation polarization data, thus guaranteeing the reliability of inversion results. In geometric calibration, we complete the assignment of the field of view (FOV) angle to each pixel of the detector using a high precision turntable and parallel light source. In addition, the geometric calibration accuracy of the S beam and P beam is also analyzed. The results show that the residuals of all row pixels are less than 0.12°. Based on geometric calibration, a spectral calibration is conducted at each spectrum of the S beam and P beam for the given FOV, and the relation between the wavelength and pixel is obtained by a linear fitting procedure. For radiometric calibration, the uniformity of spectral responsivity is corrected, and the function between spectral radiance and output digital data is established. To improve the accuracy of the polarimetric measurement, a polarimetric calibration is proposed, and validated experimental results show that the root mean square (RMS) errors for the demodulated value are all within 0.011 for the input linear polarized light with different angles of linear polarization (AoLPs). Finally, field measurements are conducted, and the absolute deviations are all within 0.01 when the UVISP and CE-318 sun–sky polarimetric radiometer (CE318N) simultaneously measure the degree of linear polarization (DoLP) of the sky at different zenith angles. These experimental results demonstrate the efficiency and accuracy of the proposed calibration methods.

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UV linear stokes imaging of optically thin clouds

Cited by 2 publications

References 7 publications

Simulating ground-based polarimetric responses using AirMSPI observations from the FIREX-AQ campaign

Simulating ground-based polarimetric responses using AirMSPI observations from the FIREX-AQ campaign

Laboratory Calibration of an Ultraviolet–Visible Imaging Spectropolarimeter

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