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Reconstruction of the Daily MODIS Land Surface Temperature Product Using the Two-Step Improved Similar Pixels Method

The MODIS land surface temperature (LST) product is one of the most widely used data sources to study the climate and energy-water cycle at a global scale. However, the large number of invalid values caused by cloud cover limits the wide application of the MODIS LST. In this study, a two-step improv...

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書誌詳細
主要な著者: Junlei Tan, Tao Che, Jian Wang, Ji Liang, Yang Zhang, Zhiguo Ren
フォーマット: Artigo
言語:Inglês
出版事項: MDPI AG 2021-04-01
シリーズ:Remote Sensing
主題:
オンライン・アクセス:https://www.mdpi.com/2072-4292/13/9/1671
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