 |
| Titel |
A dynamic approach for evaluating coarse scale satellite soil moisture products |
| VerfasserIn |
A. Loew, F. Schlenz |
| Medientyp |
Artikel
|
| Sprache |
Englisch
|
| ISSN |
1027-5606
|
| Digitales Dokument |
URL |
| Erschienen |
In: Hydrology and Earth System Sciences ; 15, no. 1 ; Nr. 15, no. 1 (2011-01-11), S.75-90 |
| Datensatznummer |
250012587
|
| Publikation (Nr.) |
 copernicus.org/hess-15-75-2011.pdf |
|
|
|
|
|
| Zusammenfassung |
| Validating coarse scale remote sensing soil moisture products requires a
comparison of gridded data to point-like ground measurements. The necessary
aggregation of in situ measurements to the footprint scale of a satellite
sensor (>100 km2) introduces uncertainties in the validation of the
satellite soil moisture product. Observed differences between the satellite
product and in situ data are therefore partly attributable to these
aggregation uncertainties. The present paper investigates different
approaches to disentangle the error of the satellite product from the
uncertainties associated to the up-scaling of the reference data. A novel
approach is proposed, which allows for the quantification of the remote
sensing soil moisture error using a temporally adaptive technique. It is
shown that the point-to-area sampling error can be estimated within
0.0084 [m3/m3]. |
| |
|
| Teil von |
|
|
|
|
|
|
|
|