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

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

doi:https://doi.org/10.5194/amt-17-5601-2024

Articles | Volume 17, issue 18

https://doi.org/10.5194/amt-17-5601-2024

© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.

Special issue:

GEMS: first year in operation (AMT/ACP inter-journal SI)

https://doi.org/10.5194/amt-17-5601-2024

© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 17, issue 18

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

Data sets

OMI/Aura Global Geometry-Dependent Surface LER 1-Orbit L2 Swath 13x24km V3 Joanna J. Joiner et al. https://doi.org/10.5067/AURA/OMI/DATA2032

Short summary

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.