Reconstruction of land surface temperature time-series datasets of FY-2F based on Savitzky-Golay filter
Di WU1,Jian CHEN1(),Man SHI1,Bangyong QIN2,Shengyang LI2
1.School of Remote Sensing and Surveying Engineering, Nanjing University of Information Science and Technology, Nanjing 210044, China 2.Key Laboratory of Space Utilization, Technology and Engineering Center for Space Utilization, Chinese Academy of Sciences, Beijing 100094, China
Regional and spatial continuous land surface temperature (LST) can be retrieved from satellite remote sensing data, and has an important significance in such fields as global change, ecology, environment, and agricultural production. However, the LST retrieved by remote sensing usually has missing data in time and space due to the influence of clouds, aerosols, satellite viewing angle and solar illumination angle, which limits the application of LST products. In this paper, the authors reconstructed FY-2F daily LST data of 2013 in the Yangtze River delta region using Savitzky-Golay (S-G) filter based on the characteristics of long time-series LST. The results show that S-G filter can fill the missing values effectively and ensure the spatial distribution consistency of the LST after reconstruction. The average time-series loss rate of the original FY-2F LST product is 19.43%, and then decreases to 1.69% after S-G filtering. In order to verify the reconstruction accuracy of S-G filter, the authors randomly selected some regions that are not deficient, and then made comparison with the results after S-G filtering. It is proved that S-G filter reconstructing method has obtained high accuracy, with the mean absolute error 1.35 K and the fitting accuracy 0.95. Higher quality and long time-series FY-2F LST which is reconstructed based on S-G filter offers a good foundation to the study of temporal and spatial distribution of further thermal environment.
吴迪,陈健,石满,覃帮勇,李盛阳. 基于Savitzky-Golay滤波算法的FY-2F地表温度产品时间序列重建[J]. 国土资源遥感, 2019, 31(2): 59-65.
Di WU,Jian CHEN,Man SHI,Bangyong QIN,Shengyang LI. Reconstruction of land surface temperature time-series datasets of FY-2F based on Savitzky-Golay filter. Remote Sensing for Land & Resources, 2019, 31(2): 59-65.
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