Title | ||
---|---|---|
Modeling the Temporal Variability of Thermal Emissions From Row-Planted Scenes Using a Radiosity and Energy Budget Method. |
Abstract | ||
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Land surface temperature (LST) is often needed for using remotely sensed data to study the surface energy budget and hydrological cycle. However, LST is challenging to measure and simulate because of its high sensitivity to atmospheric instability and solar angle, particularly over large-scale heterogeneous scenes. We propose a model that combines radiosity theory and an energy budget method for s... |
Year | DOI | Venue |
---|---|---|
2017 | 10.1109/TGRS.2017.2719098 | IEEE Transactions on Geoscience and Remote Sensing |
Keywords | Field | DocType |
Atmospheric modeling,Solid modeling,Land surface temperature,Soil,Surface treatment,Temperature measurement,Remote sensing | Energy budget,Remote sensing,Atmospheric model,Energy balance,Radiosity (computer graphics),Atmospheric instability,Radiative transfer,Surface energy,Mathematics,Thermodynamic equilibrium | Journal |
Volume | Issue | ISSN |
55 | 10 | 0196-2892 |
Citations | PageRank | References |
1 | 0.36 | 10 |
Authors | ||
7 |
Name | Order | Citations | PageRank |
---|---|---|---|
Zunjian Bian | 1 | 6 | 5.13 |
Yongming Du | 2 | 72 | 19.60 |
hua li | 3 | 26 | 9.11 |
Biao Cao | 4 | 22 | 10.43 |
Huaguo Huang | 5 | 21 | 12.79 |
Qing Xiao | 6 | 8 | 9.06 |
Qinhuo Liu | 7 | 280 | 85.97 |