Name
Title | ||
|---|---|---|
A Method Based on Temporal Component Decomposition for Estimating 1-km All-Weather Land Surface Temperature by Merging Satellite Thermal Infrared and Passive Microwave Observations |
Abstract | ||
|---|---|---|
Land surface temperature (LST) is a key variable at the land-atmosphere boundary. For many research projects and applications an all-weather LST product at moderate spatial resolution (e.g., 1 km) would be highly useful, especially in frequently cloudy areas. Merging thermal infrared (TIR) and microwave (MW) observations is able to overcome shortcomings of single-source remote sensing to derive su... |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1109/TGRS.2019.2892417 | IEEE Transactions on Geoscience and Remote Sensing |
Keywords | Field | DocType |
Land surface temperature,Remote sensing,Infrared imaging,Passive microwave remote sensing | Land surface temperature,Microwave,Downscaling,Satellite,Diurnal temperature variation,Remote sensing,Image quality,Continuous monitoring,Image resolution,Mathematics | Journal |
Volume | Issue | ISSN |
57 | 7 | 0196-2892 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
6 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Xiaodong Zhang | 1 | 2 | 1.56 |
| Ji Zhou | 2 | 4 | 1.26 |
| Frank-Michael Göttsche | 3 | 0 | 1.01 |
| Wenfeng Zhan | 4 | 74 | 12.78 |
| Shaomin Liu | 5 | 4 | 5.49 |
| Ruyin Cao | 6 | 3 | 2.18 |