Paper
19 May 2006 Passive microwave retrieval of land surface properties
Manfred Owe, Richard A. M. de Jeu, Thomas R. H. Holmes
Author Affiliations +
Abstract
A methodology for retrieving land surface properties from passive microwave observations is presented. Dual polarization microwave brightness temperature data, together with a simple radiative transfer model are used to derive surface soil moisture and vegetation optical depth simultaneously, in a non linear optimization procedure using a forward modeling approach. Soil temperature is derived off-line with a common heat flow model, driven by high frequency vertical polarization microwave data and remotely sensed observations of net radiation. The methodology does not require any field observations of soil moisture or canopy biophysical properties for calibration purposes and is independent of wavelength. Remote sensing provides an excellent opportunity to monitor and gather environmental data in regions that have little or no instrumentation. Moreover, microwave technology provides a more all-weather capability than is typically afforded with visible and near infrared wavelengths. The model was developed for regional- to global-scale monitoring and related environmental applications such as surface energy balance modelling, numerical weather prediction, flood and drought forecasting, and climate change studies. However, at higher spatial resolutions, which would be possible with aircraft, especially unmanned vehicles, tactical applications may be realized as well. Retrieval results compare well with field observations of soil moisture and satellite-derived vegetation index data from optical sensors.
© (2006) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Manfred Owe, Richard A. M. de Jeu, and Thomas R. H. Holmes "Passive microwave retrieval of land surface properties", Proc. SPIE 6211, Passive Millimeter-Wave Imaging Technology IX, 621108 (19 May 2006); https://doi.org/10.1117/12.665013
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Cited by 1 scholarly publication.
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KEYWORDS
Soil science

Microwave radiation

Data modeling

Vegetation

Satellites

Atmospheric modeling

Polarization

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