Abstract | ||
---|---|---|
Relative humidity (RH) is one of the key variables for understanding the water, energy, and carbon exchange between the Earth and the atmosphere. Traditional methods for deriving RH from remotely sensed data usually require ground meteorological observations or are limited to clear-sky conditions, thereby making it a significant challenge to obtain spatially complete RH under all-sky conditions, e... |
Year | DOI | Venue |
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2021 | 10.1109/TGRS.2020.3036248 | IEEE Transactions on Geoscience and Remote Sensing |
Keywords | DocType | Volume |
Clouds,Land surface temperature,Satellites,MODIS,Mathematical model,Humidity,Remote sensing | Journal | 59 |
Issue | ISSN | Citations |
11 | 0196-2892 | 0 |
PageRank | References | Authors |
0.34 | 0 | 8 |
Name | Order | Citations | PageRank |
---|---|---|---|
Qian-Yu Liao | 1 | 0 | 1.01 |
pei leng | 2 | 17 | 8.71 |
Zhao-Liang Li | 3 | 2 | 2.40 |
Chao Ren | 4 | 0 | 1.01 |
Yayong Sun | 5 | 4 | 2.48 |
Maofang Gao | 6 | 1 | 6.16 |
Sibo Duan | 7 | 60 | 13.11 |
Guofei Shang | 8 | 0 | 2.37 |