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- W4313019198 abstract "The surface freezing-thawing cycle is an important indicator of global climate change. In current studies, more attention has been paid on the monitoring of daily freezing-thawing changes, but less on the intra-day freezing-thawing changes. While the intraday freeze-thaw cycles are more sensitive to climate change. Thus, in this study, the multi-temporal observations derived from DMSP F15, F16, F17 and F18 in the period of 2015.01.01~2016.12.31 were used to monitoring the intraday freezing and thawing varations. A unified discriminant equation for four kinds of satellites was established. The ground soil temperature measurements from four networks (Naqu, Maqu, Pali and Ali) in the Qinghai-Tibet Plateau were used for the validation. The results show that there is a strong consistency between the intraday frozen duration calculated based on the F/T discrimination results and the in-situ measurements, with a maximum standard error of 12.6 hours in Ali and a minimum standard error of 4.34 hours in Naqu." @default.
- W4313019198 created "2023-01-05" @default.
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- W4313019198 date "2022-07-17" @default.
- W4313019198 modified "2023-10-16" @default.
- W4313019198 title "Monitoring of Surface Intraday Frozen Duration Based on Multi-Temporal Passive Microwave Remote Sensing Observations" @default.
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- W4313019198 doi "https://doi.org/10.1109/igarss46834.2022.9883059" @default.
- W4313019198 hasPublicationYear "2022" @default.
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