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http://dx.doi.org/10.7780/kjrs.2020.36.6.1.10

Evaluation of the DCT-PLS Method for Spatial Gap Filling of Gridded Data  

Youn, Youjeong (Department of Spatial Information Engineering, Division of Earth Environmental System Science, Pukyong National University)
Kim, Seoyeon (Department of Spatial Information Engineering, Division of Earth Environmental System Science, Pukyong National University)
Jeong, Yemin (Department of Spatial Information Engineering, Division of Earth Environmental System Science, Pukyong National University)
Cho, Subin (Department of Spatial Information Engineering, Division of Earth Environmental System Science, Pukyong National University)
Lee, Yangwon (Department of Spatial Information Engineering, Division of Earth Environmental System Science, Pukyong National University)
Publication Information
Korean Journal of Remote Sensing / v.36, no.6_1, 2020 , pp. 1407-1419 More about this Journal
Abstract
Long time-series gridded data is crucial for the analyses of Earth environmental changes. Climate reanalysis and satellite images are now used as global-scale periodical and quantitative information for the atmosphere and land surface. This paper examines the feasibility of DCT-PLS (penalized least square regression based on discrete cosine transform) for the spatial gap filling of gridded data through the experiments for multiple variables. Because gap-free data is required for an objective comparison of original with gap-filled data, we used LDAPS (Local Data Assimilation and Prediction System) daily data and MODIS (Moderate Resolution Imaging Spectroradiometer) monthly products. In the experiments for relative humidity, wind speed, LST (land surface temperature), and NDVI (normalized difference vegetation index), we made sure that randomly generated gaps were retrieved very similar to the original data. The correlation coefficients were over 0.95 for the four variables. Because the DCT-PLS method does not require ancillary data and can refer to both spatial and temporal information with a fast computation, it can be applied to operative systems for satellite data processing.
Keywords
Satellite image; Gap filling; Discrete cosine transform;
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Times Cited By KSCI : 1  (Citation Analysis)
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