 |
| Titel |
Spatial and temporal patterns of land surface fluxes from remotely sensed surface temperatures within an uncertainty modelling framework |
| VerfasserIn |
M. F. McCabe, J. D. Kalma, S. W. Franks |
| Medientyp |
Artikel
|
| Sprache |
Englisch
|
| ISSN |
1027-5606
|
| Digitales Dokument |
URL |
| Erschienen |
In: Hydrology and Earth System Sciences ; 9, no. 5 ; Nr. 9, no. 5 (2005-10-13), S.467-480 |
| Datensatznummer |
250007038
|
| Publikation (Nr.) |
 copernicus.org/hess-9-467-2005.pdf |
|
|
|
|
|
| Zusammenfassung |
| Characterising the development of evapotranspiration through time is a
difficult task, particularly when utilising remote sensing data, because
retrieved information is often spatially dense, but temporally sparse.
Techniques to expand these essentially instantaneous measures are not only
limited, they are restricted by the general paucity of information
describing the spatial distribution and temporal evolution of evaporative
patterns. In a novel approach, temporal changes in land surface
temperatures, derived from NOAA-AVHRR imagery and a generalised split-window
algorithm, are used as a calibration variable in a simple land surface
scheme (TOPUP) and combined within the Generalised Likelihood Uncertainty
Estimation (GLUE) methodology to provide estimates of areal
evapotranspiration at the pixel scale. Such an approach offers an innovative
means of transcending the patch or landscape scale of SVAT type models, to
spatially distributed estimates of model output. The resulting spatial and
temporal patterns of land surface fluxes and surface resistance are used to
more fully understand the hydro-ecological trends observed across a study
catchment in eastern Australia. The modelling approach is assessed by
comparing predicted cumulative evapotranspiration values with surface fluxes
determined from Bowen ratio systems and using auxiliary information such as
in-situ soil moisture measurements and depth to groundwater to corroborate
observed responses. |
| |
|
| Teil von |
|
|
|
|
|
|
|
|