Correlation Analysis between Atmospheric Transmittance and Observed Brightness Using Ground-Based Satellite Tracking Data

This study investigates the correlation between atmospheric transmittance and observed brightness using satellite tracking data collected from a ground-based observation station. Atmospheric transmittance was calculated under mid-latitude winter conditions using MODTRAN software, while observed brightness was derived from satellite tracking data independently of transmittance measurement angles. Polynomial regression was applied to model the relationship between transmittance and brightness. The results allowed for a quantitative assessment of the impact of atmospheric conditions on satellite brightness across various elevation angles. This study provides foundational insights for satellite observation by clarifying the relationship between atmospheric transmittance and brightness changes under specific observational conditions. Future work may expand upon these findings by exploring a broader range of seasonal and environmental factors to enhance the generalizability of the model.

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Publication Details

Journal
Journal of Space Technology and Applications
Published
2024-11-01
DOI
https://doi.org/10.52912/jsta.2024.4.4.268
Primary Topic
Atmospheric aerosols and clouds
Type
article
Field-Weighted Citation Impact
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article

Correlation Analysis between Atmospheric Transmittance and Observed Brightness Using Ground-Based Satellite Tracking Data

Hojin Lee, Donggeon Kim, Chul Hyun
Journal of Space Technology and Applications
Atmospheric aerosols and clouds
article

Correlation Analysis between Atmospheric Transmittance and Observed Brightness Using Ground-Based Satellite Tracking Data

Hojin Lee, Donggeon Kim, Chul Hyun
article en

Abstract

This study investigates the correlation between atmospheric transmittance and observed brightness using satellite tracking data collected from a ground-based observation station. Atmospheric transmittance was calculated under mid-latitude winter conditions using MODTRAN software, while observed brightness was derived from satellite tracking data independently of transmittance measurement angles. Polynomial regression was applied to model the relationship between transmittance and brightness. The results allowed for a quantitative assessment of the impact of atmospheric conditions on satellite brightness across various elevation angles. This study provides foundational insights for satellite observation by clarifying the relationship between atmospheric transmittance and brightness changes under specific observational conditions. Future work may expand upon these findings by exploring a broader range of seasonal and environmental factors to enhance the generalizability of the model.

Journal of Space Technology and ApplicationsVol. 4(4)
Weatherford College (US), Gene Therapy Laboratory (FR), Human Growth Foundation (US)
Climate action
Openalex Percentile: Top 80%
Atmospheric aerosols and clouds
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Correlation Analysis between Atmospheric Transmittance and Observed Brightness Using Ground-Based Satellite Tracking Data — Hojin Lee, Donggeon Kim, et al. · Journal of Space Technology and Applications (2024) | TGRS Research Map | TGRS