Name
Title | ||
|---|---|---|
Spatiotemporal Reconstruction of Land Surface Temperature Derived From FengYun Geostationary Satellite Data. |
Abstract | ||
|---|---|---|
The FengYun-2F (FY-2F) geostationary satellite land surface temperature (LST) and its diurnal variation are important when evaluating climate change, the land-atmosphere energy budget, and the hydrological cycle. However, the presence of clouds generates numerous meaningless pixels that constrain the potential application of the available satellite LST products. These pixels covered by cloud are a... |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1109/JSTARS.2017.2716376 | IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing |
Keywords | Field | DocType |
Land surface temperature,Satellites,Reconstruction algorithms,Land surface,Surface reconstruction,Clouds,Genetic algorithms | Meteorology,Spatial analysis,Surface reconstruction,Satellite,Remote sensing,Pixel,Cluster analysis,Water cycle,Mathematics,Genetic algorithm,Geostationary orbit | Journal |
Volume | Issue | ISSN |
10 | 10 | 1939-1404 |
Citations | PageRank | References |
2 | 0.39 | 15 |
Authors | ||
6 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Zihan Liu | 1 | 3 | 1.08 |
| Penghai Wu | 2 | 12 | 3.63 |
| Sibo Duan | 3 | 60 | 13.11 |
| Wenfeng Zhan | 4 | 74 | 12.78 |
| xiaoshuang ma | 5 | 37 | 4.72 |
| Yanlan Wu | 6 | 3 | 0.74 |