Name
Title | ||
|---|---|---|
Optimal Exploitation of AMSR-E Signals for Improving Soil Moisture Estimation Through Land Data Assimilation. |
Abstract | ||
|---|---|---|
Regional soil moisture can be estimated by assimilating satellite microwave brightness temperature into a land surface model (LSM). This paper explores how to improve soil moisture estimation based on sensitivity analysis when assimilating Advanced Microwave Scanning Radiometer for the Earth Observing System brightness temperatures. By assimilating a lower and a higher frequency combination, the l... |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1109/TGRS.2012.2198483 | IEEE Transactions on Geoscience and Remote Sensing |
Keywords | Field | DocType |
Soil moisture,Microwave radiometry,Microwave measurements,Frequency estimation,Vegetation mapping,Estimation,Data assimilation | Satellite,Brightness temperature,Remote sensing,Ground truth,Forcing (mathematics),Water content,Data assimilation,Mathematics,Water vapor,Radiometer | Journal |
Volume | Issue | ISSN |
51 | 1 | 0196-2892 |
Citations | PageRank | References |
1 | 0.37 | 0 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Long Zhao | 1 | 9 | 2.03 |
| Kun Yang | 2 | 64 | 18.24 |
| Jun Qin | 3 | 12 | 2.08 |
| Yingying Chen | 4 | 5 | 3.20 |