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: 2,678
BibTeX: 72
EndNote: 117
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Cumulative views and downloads
(calculated since 09 Apr 2024)
Total article views: 2,200 (including HTML, PDF, and XML)
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1,815
188
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2,200
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PDF: 188
XML: 197
Total: 2,200
BibTeX: 50
EndNote: 91
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Total article views: 478 (including HTML, PDF, and XML)
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351
95
32
478
22
26
HTML: 351
PDF: 95
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Total: 478
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Views and downloads (calculated since 09 Apr 2024)
Cumulative views and downloads
(calculated since 09 Apr 2024)
Viewed (geographical distribution)
Total article views: 2,678 (including HTML, PDF, and XML)
Thereof 2,643 with geography defined
and 35 with unknown origin.
Total article views: 2,200 (including HTML, PDF, and XML)
Thereof 2,186 with geography defined
and 14 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...
