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.
the Creative Commons Attribution 4.0 License.
Special issue:
https://doi.org/10.5194/amt-17-5601-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Retrieval of pseudo-BRDF-adjusted surface reflectance at 440 nm from the Geostationary Environmental Monitoring Spectrometer (GEMS)
Suyoung Sim
Division of Earth Environmental System Science (Major of Spatial Information System Engineering), Pukyong National University, Busan, Republic of Korea
Sungwon Choi
Pukyong National University Industry–University Cooperation Foundation, Pukyong National University, Busan, Republic of Korea
Daeseong Jung
Division of Earth Environmental System Science (Major of Spatial Information System Engineering), Pukyong National University, Busan, Republic of Korea
Jongho Woo
Division of Earth Environmental System Science (Major of Spatial Information System Engineering), Pukyong National University, Busan, Republic of Korea
Nayeon Kim
Marine Big Data and A.I. Center, Korea Institute of Ocean Science and Technology, Busan, Republic of Korea
Sungwoo Park
Division of Earth Environmental System Science (Major of Spatial Information System Engineering), Pukyong National University, Busan, Republic of Korea
Honghee Kim
Division of Earth Environmental System Science (Major of Spatial Information System Engineering), Pukyong National University, Busan, Republic of Korea
Ukkyo Jeong
Division of Earth Environmental System Science (Major of Spatial Information System Engineering), Pukyong National University, Busan, Republic of Korea
Hyunkee Hong
Environmental Satellite Center, National Institute of Environmental Research, Incheon, Republic of Korea
Division of Earth Environmental System Science (Major of Spatial Information System Engineering), Pukyong National University, Busan, Republic of Korea
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Cited
11 citations as recorded by crossref.
- 基于BRDF的多视角国画颜色再现 李. Li Xinting et al. https://doi.org/10.3788/AOS250804
- Tropospheric NO2 retrieval algorithm for geostationary satellite instruments: applications to GEMS S. Seo et al. https://doi.org/10.5194/amt-17-6163-2024
- Enhancing Radiative Consistency in Retrieval Chains: The Role of NO₂ Absorption in Surface Reflectance Estimation S. Sim et al. https://doi.org/10.1109/LGRS.2026.3711402
- Improved Land AOD Retrieval of GK-2A/AMI via Background Surface Reflectance Based on sRTLS-BRDF Inversion D. Jung et al. https://doi.org/10.3390/rs18071018
- On-Orbit Correction of Bi-Directional Transmittance Distribution Function (BTDF) of Geostationary Environment Monitoring Spectrometer (GEMS) M. Kang et al. https://doi.org/10.1109/TGRS.2024.3510337
- Pioneering Air Quality Monitoring over East and Southeast Asia with the Geostationary Environment Monitoring Spectrometer (GEMS) K. Lee et al. https://doi.org/10.7780/kjrs.2024.40.5.2.5
- Angular Normalization of Airborne Spectral Imagery in Forested Areas by Improved Pseudo Multiangle Observation Y. Liu et al. https://doi.org/10.1109/JSTARS.2025.3626147
- Integration of GEMS and MODIS AOD for enhanced long-term aerosol monitoring over East Asia H. Jeon et al. https://doi.org/10.1080/01431161.2026.2632162
- Air mass factor sensitivity to a priori profiles in GEMS formaldehyde retrieval during the ASIA-AQ campaign G. Lee et al. https://doi.org/10.1016/j.atmosenv.2026.122255
- Application of remote sensing and geospatial techniques for forest fire monitoring and air quality impact assessment I. Alvarez et al. https://doi.org/10.1080/10106049.2026.2684384
- Georgia Tech Research Institute Goniometer (GT-RIG): A Commercial Off the Shelf (COTS) Bidirectional Reflectance Distribution Function (BRDF) Characterization System for Spacecraft Materials G. Badura et al. https://doi.org/10.1007/s40295-026-00626-7
11 citations as recorded by crossref.
- 基于BRDF的多视角国画颜色再现 李. Li Xinting et al. https://doi.org/10.3788/AOS250804
- Tropospheric NO2 retrieval algorithm for geostationary satellite instruments: applications to GEMS S. Seo et al. https://doi.org/10.5194/amt-17-6163-2024
- Enhancing Radiative Consistency in Retrieval Chains: The Role of NO₂ Absorption in Surface Reflectance Estimation S. Sim et al. https://doi.org/10.1109/LGRS.2026.3711402
- Improved Land AOD Retrieval of GK-2A/AMI via Background Surface Reflectance Based on sRTLS-BRDF Inversion D. Jung et al. https://doi.org/10.3390/rs18071018
- On-Orbit Correction of Bi-Directional Transmittance Distribution Function (BTDF) of Geostationary Environment Monitoring Spectrometer (GEMS) M. Kang et al. https://doi.org/10.1109/TGRS.2024.3510337
- Pioneering Air Quality Monitoring over East and Southeast Asia with the Geostationary Environment Monitoring Spectrometer (GEMS) K. Lee et al. https://doi.org/10.7780/kjrs.2024.40.5.2.5
- Angular Normalization of Airborne Spectral Imagery in Forested Areas by Improved Pseudo Multiangle Observation Y. Liu et al. https://doi.org/10.1109/JSTARS.2025.3626147
- Integration of GEMS and MODIS AOD for enhanced long-term aerosol monitoring over East Asia H. Jeon et al. https://doi.org/10.1080/01431161.2026.2632162
- Air mass factor sensitivity to a priori profiles in GEMS formaldehyde retrieval during the ASIA-AQ campaign G. Lee et al. https://doi.org/10.1016/j.atmosenv.2026.122255
- Application of remote sensing and geospatial techniques for forest fire monitoring and air quality impact assessment I. Alvarez et al. https://doi.org/10.1080/10106049.2026.2684384
- Georgia Tech Research Institute Goniometer (GT-RIG): A Commercial Off the Shelf (COTS) Bidirectional Reflectance Distribution Function (BRDF) Characterization System for Spacecraft Materials G. Badura et al. https://doi.org/10.1007/s40295-026-00626-7
Saved (final revised paper)
Latest update: 15 Sep 2026
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.
This study evaluates the use of background surface reflectance (BSR) derived from a...
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