Division of Earth Environmental System Science (Major of Spatial Information System Engineering), Pukyong National University, Busan, Republic of Korea
Division of Earth Environmental System Science (Major of Spatial Information System Engineering), Pukyong National University, Busan, Republic of Korea
Division of Earth Environmental System Science (Major of Spatial Information System Engineering), Pukyong National University, Busan, Republic of Korea
Division of Earth Environmental System Science (Major of Spatial Information System Engineering), Pukyong National University, Busan, Republic of Korea
Division of Earth Environmental System Science (Major of Spatial Information System Engineering), Pukyong National University, Busan, Republic of Korea
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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Total article views: 2,079 (including HTML, PDF, and XML)
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1,751
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351
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478
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HTML: 351
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Cumulative views and downloads
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Viewed (geographical distribution)
Total article views: 2,557 (including HTML, PDF, and XML)
Thereof 2,519 with geography defined
and 38 with unknown origin.
Total article views: 2,079 (including HTML, PDF, and XML)
Thereof 2,062 with geography defined
and 17 with unknown origin.
Total article views: 478 (including HTML, PDF, and XML)
Thereof 457 with geography defined
and 21 with unknown origin.
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...