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Proceedings Paper

Estimation of soil moisture under vegetation using multisensor data
Author(s): Hans Thonfeld; Maria von Schoenermark
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Paper 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.

Paper Details

Date Published: 11 December 1998
PDF: 10 pages
Proc. SPIE 3499, Remote Sensing for Agriculture, Ecosystems, and Hydrology, (11 December 1998); doi: 10.1117/12.332756
Show Author Affiliations
Hans Thonfeld, DLR Institute for Space Sensor Technology (Germany)
Maria von Schoenermark, DLR Institute for Space Sensor Technology (Germany)


Published in SPIE Proceedings Vol. 3499:
Remote Sensing for Agriculture, Ecosystems, and Hydrology
Edwin T. Engman, Editor(s)

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