Spacecraft Recovery & Remote Sensing, Volume. 46, Issue 4, 116(2025)

Analysis of Influence of Atmospheric Correction on Inversion Accuracy of Fractional Vegetation Coverage in Images with Different Mountain Proportions

Miao LIU1,2, Xuechun ZHAO3、*, Xingfa GU2,4, Yulin ZHAN2, Tao YU2, Juan LI2, Linghan GAO5,6, Shiyuan ZHANG5,6, and Zhangjie WANG5,6
Author Affiliations
  • 1Key Laboratory of Earth Observation of Hainan Province, Hainan Aerospace Information Research Institute, Wenchang 571333, China
  • 2Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China
  • 3Hebei Construction Engineering Xiong'an Construction Development Co., Ltd, Xiong'an New Area 133100, China
  • 4School of Geography and Remote Sensing, Guangzhou University, Guangzhou 510006, China
  • 5School of Remote Sensing and Information Engineering, North China Institute of Aerospace Engineering, Langfang 065000, China
  • 6Hebei Spacer Remote Sensing Information Processing and Application of Collaborative Innovation Center,Langfang 065000, China
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    To systematically investigate the influence of atmospheric correction on Fractional Vegetation Cover (FVC) retrieval accuracy, this study utilizes two test scenes of GF-1 satellite imagery with mountain coverage ratios of 18.3% (low-mountain scenario) and 99.3% (high-mountain scenario) respectively. FVC is retrieved using apparent reflectance (without atmospheric correction) and surface reflectance (with atmospheric correction) respectively to quantitatively evaluate differential impacts of atmospheric correction across varying mountainous terrains. Comparative experiments reveal that: in low-mountain scenario, FVC retrieval using apparent reflectance remained acceptable, while atmospheric correction improves accuracy by 0.93%. In high-mountain scenario, overall FVC retrieval accuracy declines significantly, with coefficient of determination decreasing over 10% and Root Mean Square Error increasing beyond 50% for both corrected/uncorrected data, though atmospheric correction still provided 2.7% accuracy improvement. The results quantitatively demonstrate that atmospheric correction consistently enhances FVC retrieval precision, particularly proving essential for high-mountain areas to ensure reliability. These findings provide empirical evidence for prioritizing atmospheric correction in mountainous remote sensing applications.

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    Miao LIU, Xuechun ZHAO, Xingfa GU, Yulin ZHAN, Tao YU, Juan LI, Linghan GAO, Shiyuan ZHANG, Zhangjie WANG. Analysis of Influence of Atmospheric Correction on Inversion Accuracy of Fractional Vegetation Coverage in Images with Different Mountain Proportions[J]. Spacecraft Recovery & Remote Sensing, 2025, 46(4): 116

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    Paper Information

    Category: Remote Sensing Information Processing Technology

    Received: Dec. 23, 2024

    Accepted: Dec. 23, 2024

    Published Online: Sep. 12, 2025

    The Author Email: Xuechun ZHAO (2408255020@qq.com)

    DOI:10.3969/j.issn.1009-8518.2025.04.010

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