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Cloud tolerance of remote-sensing technologies to measure land surface temperature
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2016
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Source: Hydrol. Earth Syst. Sci., 20(8), 3263–3275
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Journal Title:Hydrol. Earth Syst. Sci.
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Description:We test the cloud tolerance of two technologies to estimate land surface temperature (LST) from space: microwave (MW) and thermal infrared (TIR). Although TIR has slightly lower errors than MW with ground data under clear-sky conditions, it suffers increasing negative bias as cloud cover increases. In contrast, we find no direct impact of clouds on the accuracy and bias of MW-LST. MW-LST can therefore be used to improve TIR cloud screening and increase sampling in clouded regions.
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Source:Hydrol. Earth Syst. Sci., 20(8), 3263–3275
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DOI:
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Document Type:
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Rights Information:CC BY
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Compliance:Submitted
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