| Remote Sensing | |
| Estimation of Land Surface Temperature under Cloudy Skies Using Combined Diurnal Solar Radiation and Surface Temperature Evolution | |
| Xiaoyu Zhang1  Jing Pang2  Lingling Li2  Zhao-Liang Li2  Richard Müller2  | |
| [1] School of Environment and Resources, Shanxi University, Taiyuan 030006, China; | |
| 关键词: land surface temperature; net shortwave solar radiation; diurnal evolution; clouds; geostationary meteorological satellite; | |
| DOI : 10.3390/rs70100905 | |
| 来源: mdpi | |
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【 摘 要 】
Land surface temperature (LST) is a key parameter in the interaction of the land-atmosphere system. However, clouds affect the retrieval of LST data from thermal-infrared remote sensing data. Thus, it is important to determine a method for estimating LSTs at times when the sky is overcast. Based on a one-dimensional heat transfer equation and on the evolution of daily temperatures and net shortwave solar radiation (NSSR), a new method for estimating LSTs under cloudy skies (Tcloud) from diurnal NSSR and surface temperatures is proposed. Validation is performed against
【 授权许可】
CC BY
© 2015 by the authors; licensee MDPI, Basel, Switzerland.
【 预 览 】
| Files | Size | Format | View |
|---|---|---|---|
| RO202003190017558ZK.pdf | 9659KB |
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