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Evaluating FY3C-VIRR reconstructed land surface temperature in cloudy regions

Missing values in land surface temperature (LST) data are often observed in the cloud-sheltered area, thereby seriously limiting the spatiotemporal continuity of LST. In this work, Remotely Sensed Daily Land Surface Temperature Reconstruction model(RSDAST) is used to gap-fill the pixels sheltered by...

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Bibliográfalaš dieđut
Váldodahkkit: Wang Yongqian, Zhang Dejun, Sun Liang, Yang Shiqi, Shihao Tang, Gao Yanghua, Ye Qinyu, Zhu Hao
Materiálatiipa: Artigo
Giella:Inglês
Almmustuhtton: Taylor & Francis Group 2021-01-01
Ráidu:European Journal of Remote Sensing
Fáttát:
Liŋkkat:http://dx.doi.org/10.1080/22797254.2021.1917308
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