SCIENTIA GEOGRAPHICA SINICA ›› 2022, Vol. 42 ›› Issue (11): 2019-2027.doi: 10.13249/j.cnki.sgs.2022.11.016

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Evaluation of Reconstruction Effect of NDVI Time Series Based on QA Weight: A Case Study of MODIS NDVI in the Yangtze River Basin

Zhu Hui1,2(), Hu Yong1,2(), Sun Fen1,2, Wang Qiang1,2, Ma Xueying1,2   

  1. 1. Chongqing Institute of Surveying and Monitoring for Planning and Natural Resources, Chongqing 400020, China
    2. Key Laboratory of Monitoring, Evaluation and Early Warning of Territorial Spatial Planning Implementation, Ministry of Natural Resources, Chongqing 400020, China
  • Received:2021-10-20 Revised:2022-02-25 Online:2022-11-10 Published:2023-01-05
  • Contact: Hu Yong;


In this article, the quality of MODIS NDVI in the Yangtze River Basin is analyzed by calculating the mass frequency and noise ratio. Based on three commonly used reconstruction methods of S-G, A-G and D-L, three quality weight schemes are designed to reconstruct the time series MODIS NDVI data of the Yangtze River Basin from 2001 to 2020. Subsequently, the reconstruction effect is analyzed and evaluated by visual contrast, high-quality regional fidelity as well as simulation denoising. The results show that the annual noise ratio in the Yangtze River Basin is mainly 75%?125%, in which the noise in winter has a great inhibitory effect on NDVI, followed by spring and autumn, and the noise in summer has an increasing effect on NDVI. The S-G method on the basis of the third quality weight scheme exerts the optimal effect on the reconstruction of continuous missing original data. Additionally, in the high-quality region, the fidelity of A-G method is high, and the mean R2 and RMSE of high-quality pixels are 0.9489 and 0.0245, respectively. Moreover, in the simulation denoising experiment, the S-G method has the least data loss pixels after reconstruction, the average value and standard deviation of the R2 between the reconstructed data and the original data are 0.8616 and 0.1848 respectively the RMSE is between 0.0035 and 0.4411, and the standard deviation is 0.0383, indicating that the fidelity of the S-G method is higher in the low-quality area.

Key words: NDVI time series reconstruction, the Yangtze River Basin, QA weight, Savitzky-Golay

CLC Number: 

  • TP79