Title | ||
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Estimating Surface Air Temperature At A Regional Scale For North China By Remote Sensing |
Abstract | ||
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Regional surface air temperature is a significant indicator to research the climate and monitor the environment. In order to estimate surface air temperature in regional scale by remote sensing observations, the study based on the improved advection-energy balance for the surface air temperature (ADEBAT) model to acquire surface air temperature in North China. Results showed that the improved ADEBAT model performed well, the retrieved air temperature had good agreements with measurements from weather stations, with correlations coefficients (R-2) of 0.73, 0.78 and root mean square error (RMSE) of 0.6 degrees C, 0.5 degrees C, respectively, on two days. |
Year | DOI | Venue |
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2016 | 10.1109/IGARSS.2016.7730537 | 2016 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS) |
Keywords | Field | DocType |
surface air temperature, remote sensing | Meteorology,Land surface temperature,Computer science,Atmospheric temperature,Remote sensing,Mean squared error,Atmospheric model,Atmospheric sciences,Air temperature,Temperature measurement | Conference |
ISSN | Citations | PageRank |
2153-6996 | 0 | 0.34 |
References | Authors | |
1 | 8 |
Name | Order | Citations | PageRank |
---|---|---|---|
Suhua Liu | 1 | 1 | 1.02 |
Hongbo Su | 2 | 38 | 22.40 |
Renhua Zhang | 3 | 30 | 16.98 |
Jing Tian | 4 | 35 | 20.03 |
Shaohui Chen | 5 | 26 | 9.98 |
Weimin Wang | 6 | 0 | 4.06 |
Lijun Yang | 7 | 0 | 1.01 |
Hong Liang | 8 | 0 | 1.01 |