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Titel |
A coupled remote sensing and the Surface Energy Balance with Topography Algorithm (SEBTA) to estimate actual evapotranspiration over heterogeneous terrain |
VerfasserIn |
Z. Q. Gao, C. S. Liu, W. Gao, N.-B. Chang |
Medientyp |
Artikel
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Sprache |
Englisch
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ISSN |
1027-5606
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Digitales Dokument |
URL |
Erschienen |
In: Hydrology and Earth System Sciences ; 15, no. 1 ; Nr. 15, no. 1 (2011-01-14), S.119-139 |
Datensatznummer |
250012590
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Publikation (Nr.) |
copernicus.org/hess-15-119-2011.pdf |
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Zusammenfassung |
Evapotranspiration (ET) may be used as an ecological
indicator to address the ecosystem complexity. The accurate measurement of
ET is of great significance for studying environmental sustainability,
global climate changes, and biodiversity. Remote sensing technologies are
capable of monitoring both energy and water fluxes on the surface of the
Earth. With this advancement, existing models, such as SEBAL, S_SEBI and
SEBS, enable us to estimate the regional ET with limited temporal and
spatial coverage in the study areas. This paper extends the existing
modeling efforts with the inclusion of new components for ET estimation at
different temporal and spatial scales under heterogeneous terrain with varying
elevations, slopes and aspects. Following a coupled remote sensing and
surface energy balance approach, this study emphasizes the structure and
function of the Surface Energy Balance with Topography Algorithm (SEBTA).
With the aid of the elevation and landscape information, such as slope and
aspect parameters derived from the digital elevation model (DEM), and the
vegetation cover derived from satellite images, the SEBTA can account for
the dynamic impacts of heterogeneous terrain and changing land cover with
some varying kinetic parameters (i.e., roughness and zero-plane
displacement). Besides, the dry and wet pixels can be recognized
automatically and dynamically in image processing thereby making the SEBTA
more sensitive to derive the sensible heat flux for ET estimation. To prove
the application potential, the SEBTA was carried out to present the robust
estimates of 24 h solar radiation over time, which leads to the smooth
simulation of the ET over seasons in northern China where the regional
climate and vegetation cover in different seasons compound the ET
calculations. The SEBTA was validated by the measured data at the ground
level. During validation, it shows that the consistency index reached 0.92
and the correlation coefficient was 0.87. |
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