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A novel physical-empirical model linking shortwave infrared reflectance and soil water retention.

Authors :
Norouzi, Sarem
Sadeghi, Morteza
Tuller, Markus
Liaghat, Abdolmajid
Jones, Scott B.
Ebrahimian, Hamed
Source :
Journal of Hydrology. Nov2022:Part B, Vol. 614, pN.PAG-N.PAG. 1p.
Publication Year :
2022

Abstract

• A new model links soil water retention and soil spectral reflectance. • Validation for 21 vastly different soils confirms good performance of the model. • Results imply potential for soil water retention retrieval from reflectance data. Soil hydraulic properties, including soil water retention, control various terrestrial hydrological processes such as infiltration, runoff, and evapotranspiration. Measuring and monitoring these properties at large scales is challenging. Therefore, over the past decade, remote sensing has been investigated as a promising tool for large-scale mapping of soil hydraulic properties. Nonetheless, a solid physical relationship between soil hydraulic and spectral properties is still lacking. To close this knowledge gap, this study introduces a novel physical-empirical model that to our best knowledge for the first time connects the soil water retention curve (SWRC) to soil spectral reflectance. The new model has been developed based on the hypothesis that the capillary and adsorbed water components of the SWRC exhibit vastly different optical properties due to their distinct distribution within the soil porous system. The model was validated using soil water retention and reflectance measurements of 21 soils, vastly differing in physical and hydraulic properties. The model provides not only a new and accurate soil moisture-reflectance functional relationship, but also a potential means for retrieval of the soil water retention curve from spectral reflectance in the shortwave infrared domain. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
00221694
Volume :
614
Database :
Academic Search Index
Journal :
Journal of Hydrology
Publication Type :
Academic Journal
Accession number :
160209736
Full Text :
https://doi.org/10.1016/j.jhydrol.2022.128653