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eISSN: 2083-5906
ISSN: 1230-1485
ISSN: 1230-1485
ORIGINAL RESEARCH
Savitzky–Golay Denoising and Chla
Concentration Inversion Based on ZY-1 02D
Images: a Case Study of Nansi Lake, China
1
Shandong Jianzhu University School of Surveying and Geo-Informatics, Jinan 250101, China
2
College of Geodesy and Geomatics, Shandong University of Science and Technology, Qingdao 266590, China
Submission date: 2024-04-17
Final revision date: 2024-05-16
Acceptance date: 2024-08-06
Online publication date: 2024-11-22
Publication date: 2025-08-20
Corresponding author
Pol. J. Environ. Stud. 2025;34(5):6271-6281
KEYWORDS
hyperspectral remote sensingZY-1 02DSavitzky-Golay filteringchlorophyll-a concentration inversionNansi LakeChina
TOPICS
ABSTRACT
The importance of hyperspectral remote sensing technology in inland water quality monitoring
research has achieved fruitful results. This research used the hyperspectral satellite images of ZY-1 02D
and considered Nansi Lake, Shandong Province, China as the main research area. First, the Savitzky–
Golay (SG) filtering method was used to denoise ZY-1 02D images. Meanwhile, combined with
the XGBoost model, the denoised and original images were applied to retrieve the Chlorophyll-a (Chla)
concentration in the water. We found that compared with the original image, the signal-to-noise ratio
(SNR) of 7–5D and 9–5D filtered images has been improved in varying degrees. Based on the Chla
concentration in the water, the three-band parameters of 7–5D, 9–5D, and the original (OD) image were
extracted. The SNR of the characteristic bands obtained from the 7–5D image was significantly higher
than other OD images, and it had the highest accuracy for Chla concentration inversion (coefficient
of determination R2=0.8737, root-mean-square error RMSE = 4.2259 μg·L-1). This study innovatively
utilized the SG filtering method to denoise ZY-1 02D hyperspectral satellite images and the XGBoost
model applied to the images was established to invert the Chla concentration of water bodies, which
realized large-scale visualization and high-precision monitoring of Chla concentration in the Nansi
Lake, and provided a new idea for improving the accuracy of remote sensing methods for monitoring
the water quality of inland water.
CONFLICT OF INTEREST
The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.
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