Articles | Volume 17, issue 18
https://doi.org/10.5194/amt-17-5601-2024
https://doi.org/10.5194/amt-17-5601-2024
Research article
 | 
26 Sep 2024
Research article |  | 26 Sep 2024

Retrieval of pseudo-BRDF-adjusted surface reflectance at 440 nm from the Geostationary Environmental Monitoring Spectrometer (GEMS)

Suyoung Sim, Sungwon Choi, Daeseong Jung, Jongho Woo, Nayeon Kim, Sungwoo Park, Honghee Kim, Ukkyo Jeong, Hyunkee​​​​​​​ Hong, and Kyung-Soo Han

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Cited articles

Baek, K., Kim, J. H., Bak, J., Haffner, D. P., Kang, M., and Hong, H.: Evaluation of total ozone measurements from Geostationary Environmental Monitoring Spectrometer (GEMS), Atmos. Meas. Tech., 16, 5461–5478, https://doi.org/10.5194/amt-16-5461-2023, 2023. a, b
Bouvet, M., Thome, K., Berthelot, B., Bialek, A., Czapla-Myers, J., Fox, N., Goryl, P., Henry, P., Ma, L., Marcq, S., Meygret, A., Wenny, B., and Woolliams, E.: RadCalNet: A radiometric calibration network for Earth observing imagers operating in the visible to shortwave infrared spectral range, Remote Sens., 11, 2401, https://doi.org/10.3390/rs11202401, 2019. a, b
Chen, L., Wang, R., Han, J., and Zha, Y.: Influence of observation angle change on satellite retrieval of aerosol optical depth, Tellus B, 73, 1–14, https://doi.org/10.1080/16000889.2021.1940758, 2021. a
Cho, Y., Kim, J., Go, S., Kim, M., Lee, S., Kim, M., Chong, H., Lee, W.-J., Lee, D.-W., Torres, O., and Park, S. S.: First atmospheric aerosol-monitoring results from the Geostationary Environment Monitoring Spectrometer (GEMS) over Asia, Atmos. Meas. Tech., 17, 4369–4390, https://doi.org/10.5194/amt-17-4369-2024, 2024. a, b
Choi, W., Moon, K.-J., Yoon, J., Cho, A., Kim, S.-k., Lee, S., Ko, D., Kim, J., Ahn, M., Kim, D.-R., Kim, S.-M., Kim, J.-Y. Nicks, D., and Kim, J.-S.: Introducing the geostationary environment monitoring spectrometer, J. Appl. Remote Sens., 12, 044005, https://doi.org/10.1117/1.JRS.12.044005, 2018. a
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This study evaluates the use of background surface reflectance (BSR) derived from a semi-empirical bidirectional reflectance distribution function (BRDF) model based on GEMS satellite images. Analysis shows that BSR provides improved accuracy and stability compared to Lambertian-equivalent reflectivity (LER). These results indicate that BSR can significantly enhance climate analysis and air quality monitoring, making it a promising tool for accurate environmental satellite applications.
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