Influence of diurnal variations of surface wetness on classification of agricultural crops using multi-parametric E-SAR data with respect to future TerraSAR applications

Details Influence of diurnal variations of surface wetness on classification of agricultural crops using multi-parametric E-SAR data with respect to future TerraSAR applications Influence of diurnal variations of surface wetness on classification of agricultural crops using multi-parametric E-SAR data with respect to future TerraSAR applications

Jan 2002

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2002esasp.475..285p&link_type=abstract

In: Proceedings of the Third International Symposium on Retrieval of Bio- and Geophysical Parameters from SAR Data for Land Appl

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Agriculture, Land Cover

Scientific paper

This paper presents the first results of a study investigating the impact of plant surface wetness on thematic SAR data analysis. The investigations are based on SAR data recorded on two days at different times and extensive field measurements of plant parameters and microclimatological data acquired during the data take. The results show an influence of surface wetness on classification accuracy depending on the amount of water on the plants and the used radar bands and geometrical resolutions. Generally, the classification accuracy increases with decreased amount of free plant surface water. Further investigations within the TerraDew-Project will investigate the influence of plant water content and soil moisture as well with polarimetric SAR data analysis of scattering mechanisms in the canopy.

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