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- W4313191206 abstract "Fractional vegetation cover (FVC) is an important indicator reflecting changes in the Earth's ecosystem, as it is essential for simulating growth processes and modeling land surfaces. At present, there have been several FVC products available on the global scale using a variety of satellite data with different retrieval methods. Compared with other FVC products, the Landsat-based FVC is able to describe global vegetation cover at a resolution of 30 m with long time series, which can better represent vegetation cover information with more spatial details. However, the revisit cycle of Landsat satellite is 16 days, resulting in poor performance of Landsat in temporal continuity. In this study, the Landsat-based FVC was enhanced by combining normalized the Sentinel-2 data and filling in some of the missing dates. By applying different temporal reconstruction methods, the temporal continuity of 30 m FVC was significantly improved, and the strengths and weaknesses of each method were also discussed." @default.
- W4313191206 created "2023-01-06" @default.
- W4313191206 creator A5022636934 @default.
- W4313191206 creator A5059081976 @default.
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- W4313191206 date "2022-07-17" @default.
- W4313191206 modified "2023-10-18" @default.
- W4313191206 title "Time-Series Reconstruction of 30M Fractional Vegetation Cover Based on Multi-Source Satellite Data" @default.
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- W4313191206 doi "https://doi.org/10.1109/igarss46834.2022.9883512" @default.
- W4313191206 hasPublicationYear "2022" @default.
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