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| Titel |
Extension of the Hapke bidirectional reflectance model to retrieve soil water content |
| VerfasserIn |
G.-J. Yang, C.-J. Zhao, W.-J. Huang, J.-H. Wang |
| 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. 7 ; Nr. 15, no. 7 (2011-07-19), S.2317-2326 |
| Datensatznummer |
250012896
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| Publikation (Nr.) |
 copernicus.org/hess-15-2317-2011.pdf |
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| Zusammenfassung |
| Soil moisture links the hydrologic cycle and the energy
budget of land surfaces by regulating latent heat fluxes. An accurate
assessment of the spatial and temporal variation of soil moisture is
important to the study of surface biogeophysical processes. Although remote
sensing has proven to be one of the most powerful tools for obtaining land
surface parameters, no effective methodology yet exists for in situ soil
moisture measurement based on a Bidirectional Reflectance Distribution
Function (BRDF) model, such as the Hapke model. To retrieve and analyze soil
moisture, this study applied the soil water parametric (SWAP)-Hapke model,
which introduced the equivalent water thickness of soil, to ground
multi-angular and hyperspectral observations coupled with, Powell-Ant
Colony Algorithm methods. The inverted soil moisture data resulting from our
method coincided with in situ measurements (R2 = 0.867, RMSE = 0.813)
based on three selected bands (672 nm, 866 nm, 2209 nm). It proved that the
extended Hapke model can be used to estimate soil moisture with high
accuracy based on the field multi-angle and multispectral remote sensing
data. |
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