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How do Spatial Scale, Noise, and Reference Data affect Empirical Estimates of Error in ASAR Derived 1 km Resolution Soil Moisture?

Doubkova, Marcela; Dostalova, Alena; Van Dijk, Albert; Bloschl, Gunter; Wagner, Wolfgang; Fernandez Prieto, D.

Description

The performance of the advanced synthetic aperture radar (ASAR) global mode (GM) surface soil moisture (SSM) data was studied over Australia by means of two widely used bivariate measures, the root-mean-square error (RMSE) and the Pearson correlation coefficient (R). By computing RMSE and R at multiple spatial scales and for different data combinations, we assessed how, and at which scales, the spatial sampling error, noise, and the choice of the reference data impact on RMSE and R. The results...[Show more]

CollectionsANU Research Publications
Date published: 2014
Type: Journal article
URI: http://hdl.handle.net/1885/67200
Source: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
DOI: 10.1109/JSTARS.2014.2324657

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