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- Title
Extension of the Hapke bidirectional reflectance model to retrieve soil water content.
- Authors
G.-J. Yang; C.-J. Zhao; W.-J. Huang; J.-H. Wang
- Abstract
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 hyper-spectral 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.
- Subjects
SOIL moisture; HYDROLOGIC cycle; ENERGY budget (Geophysics); HEAT flux; SPATIO-temporal variation; REMOTE sensing; MATHEMATICAL models
- Publication
Hydrology & Earth System Sciences, 2011, Vol 15, Issue 7, p2317
- ISSN
1027-5606
- Publication type
Article
- DOI
10.5194/hess-15-2317-2011