Name
Abstract | ||
|---|---|---|
Existing methods using remote sensing to evaluate evapotranspiration is based on the land surface balance equation Rn=H+LE+G. First it calculate the surface net radiation flux Rn, soil heat flux G and surface sensible heat flux H, then get evapotranspiration LE using residual method. To calculate sensible heat flux H needs some non-remote sensing parameters, such as air temperature, wind velocity, land surface roughness etc. It also needs interpolation to get regional data and improve the estimation precision. In this paper, downward atmospheric long-wave radiation was retrieved according to thermal inertial, surface radiative temperature and other remote sensing parameters, then used to calculate land surface net radiation flux. Soil heat flux G was parameterized using land surface net radiation flux and apparent heat inertial. For differential thermal inertial can neglect soil texture, it was calculated Bowen ratio. Bowen ratio was used to separate surface net radiation flux and introduced in the land surface balance equation. Ssurface latent heat flux can be evaluated directly avoiding intermediate link This new method can evaluate evapotranspiration using complete remote sensing information and avoid the chains of non-remote sensing parameters, such as atmosphere temperature, wind velocity and land surface roughness. So it has more universality, generalization and operability. |
Year | DOI | Venue |
|---|---|---|
2007 | 10.1109/IGARSS.2007.4423536 | IGARSS: 2007 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, VOLS 1-12: SENSING AND UNDERSTANDING OUR PLANET |
Keywords | Field | DocType |
apparent thermal inertial, ASTER, regional evapotranspiration | Heat flux,Latent heat,Computer science,Atmospheric temperature,Sensible heat,Remote sensing,Radiation flux,Bowen ratio,Evapotranspiration,Surface roughness | Conference |
Volume | Issue | ISSN |
null | null | 2153-6996 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Miao-fen Huang | 1 | 0 | 3.72 |
| Xu-feng Xing | 2 | 0 | 1.01 |
| Li Shan-Shan Hu | 3 | 0 | 0.34 |
| Lian-Cheng Li | 4 | 0 | 0.34 |