Name
Abstract | ||
|---|---|---|
Analysis is based on ESTAR (Electronically Scanned Thinned Array Radiometer) surface brightness temperature data collected during the 1997 Southern Great Plains Hydrology Experiment. The ESTAR is a passive microwave radiometer operating at a center frequency of 1.4GHz. There 16 brightness temperature images collected at 800-m resolution between Julian day 169 and Julian day 199. In our experiment the data located within the Little Washita watershed was extracted to carry out the analysis. Because the spatial pattern of the surface soil moisture is determined by the land surface heterogeneity and precipitation events. So we select two data sets from drying period and wetting period, respectively. The data of July 3 represents the case where the spatial pattern of soil moisture is determined mainly by soil texture and vegetation distribution. The data of July 12 represents the case where the spatial pattern of soil moisture is influenced by both the precipitation and land surface features. |
Year | DOI | Venue |
|---|---|---|
2008 | 10.1109/IGARSS.2008.4779538 | IGARSS |
Keywords | Field | DocType |
autocorrelation,soil texture,spatial pattern,data assimilation,radiometry,brightness temperature,spatial correlation,data collection,vegetation,pattern analysis,l band,surface brightness,soil moisture,correlation,geostatistics,remote monitoring | Spatial analysis,Meteorology,Variogram,Spatial correlation,Brightness temperature,Computer science,Remote sensing,Data assimilation,Geostatistics,Radiance,Covariance | Conference |
Volume | Issue | ISSN |
3 | 1 | null |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Xujun Han | 1 | 8 | 4.08 |
| Xin Li | 2 | 79 | 16.63 |
| Rui Jin | 3 | 90 | 16.41 |
| Shuguo Wang | 4 | 170 | 24.86 |