Statistics – Applications
Scientific paper
Jan 2002
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2002esasp.475...69p&link_type=abstract
In: Proceedings of the Third International Symposium on Retrieval of Bio- and Geophysical Parameters from SAR Data for Land Appl
Statistics
Applications
Agriculture, Land Cover
Scientific paper
Presented below are a number of observations that came out of a study performed within the framework of the DAISEX project (Digital Airborne Spectrometer Experiment). The study assesses the potential of spaceborne SAR to compliment hyperspectral data in the measurement of surface characteristics, providing important indicators of geophysical variables related to biogenic processes. For an agricultural test site located at Barrax in Southeast Spain, a series of six ERS SLCI SAR images covering the growing season of 1999 have been acquired. Amongst them is a tandem pair that coincides with the airborne campaign and synchronous ground survey constituting the core of the DAISEX dataset, thus enabling direct comparison and synergistic assessment. Evaluation is based on the ability to identify crop types, to isolate variations in SAR data that are not apparent in other imagery and to attribute these to geophysical variations. The standard ERS Interferometric Land Use product (ILU) proved to be the most useful SAR derivative for analysis. Whilst resolution and clarity compare unfavourably with airborne optical data, spaceborne radar demonstrates advantages of texture and moisture sensitivity sufficient to distinguish crops and identify within-field variation. The multi-temporal capacity of ERS, particularly during the tandem mission, is its greatest asset, enabling observation of dynamic change, particularly related to irrigation practices.
Gonzalez Carmen M.
Moreno Jackeline
Pearson Timothy
Wooding Mike
Wursteisen Patrick
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