Estimation of soil moisture under vegetation using multisensor data

Hans Thonfeld; Maria von Schoenermark

doi:10.1117/12.332756

11 December 1998 Estimation of soil moisture under vegetation using multisensor data

Hans Thonfeld, Maria von Schoenermark

Proceedings Volume 3499, Remote Sensing for Agriculture, Ecosystems, and Hydrology; (1998) https://doi.org/10.1117/12.332756
Event: Remote Sensing, 1998, Barcelona, Spain

Abstract

Soil moisture plays a key role in the hydrological cycle. Because of its heterogeneous distribution satellite measurements can be favorable for arriving at mean areal values. For bare soil such values of soil moisture can be derived from active microwave measurements. However a commonly recognized method for estimating soil moisture under vegetation using remote sensing data does not exist at present. Carlson proposed a method to estimate soil moisture of the upper layer under the vegetation. This method involves using VIS-, NIR-, and TIR data and simulations of a Soil- Vegetation-Atmosphere-Transfer (SVAT)-model. The original method is enhanced and tested in theory and practical application. Comparison of derived soil moisture with field measurements shows good agreement. It is shown that microwave measurements can be included in the analysis in a meaningful way.

Citation Download Citation

Hans Thonfeld and Maria von Schoenermark "Estimation of soil moisture under vegetation using multisensor data", Proc. SPIE 3499, Remote Sensing for Agriculture, Ecosystems, and Hydrology, (11 December 1998); https://doi.org/10.1117/12.332756

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