Name
Title | ||
|---|---|---|
A three-dimensional gap filling method for large geophysical datasets: Application to global satellite soil moisture observations. |
Abstract | ||
|---|---|---|
The presence of data gaps is always a concern in geophysical records, creating not only difficulty in interpretation but, more importantly, also a large source of uncertainty in data analysis. Filling the data gaps is a necessity for use in statistical modeling. There are numerous approaches for this purpose. However, particularly challenging are the increasing number of very large spatio-temporal datasets such as those from Earth observations satellites. Here we introduce an efficient three-dimensional method based on discrete cosine transforms, which explicitly utilizes information from both time and space to predict the missing values. To analyze its performance, the method was applied to a global soil moisture product derived from satellite images. We also executed a validation by introducing synthetic gaps. It is shown this method is capable of filling data gaps in the global soil moisture dataset with very high accuracy. |
Year | DOI | Venue |
|---|---|---|
2012 | 10.1016/j.envsoft.2011.10.015 | Environmental Modelling & Software |
Keywords | DocType | Volume |
Remote sensing,Soil moisture,Gap filling,Penalized least square regression,Discrete cosine transform | Journal | 30 |
ISSN | Citations | PageRank |
1364-8152 | 8 | 1.18 |
References | Authors | |
3 | 7 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| guodong wang | 1 | 8 | 1.51 |
| Damien Garcia | 2 | 115 | 7.41 |
| yang liu | 3 | 18 | 2.88 |
| richard de jeu | 4 | 98 | 17.89 |
| a j dolman | 5 | 8 | 1.18 |
| vu | 6 | 8 | 1.51 |
| faculteit der aard en levenswetenschappen | 7 | 115 | 9.21 |