Skip navigation
Skip navigation

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.


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
Source: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
DOI: 10.1109/JSTARS.2014.2324657


File Description SizeFormat Image
01_Doubkova_How_do_Spatial_Scale,_Noise,_2014.pdf866.97 kBAdobe PDF    Request a copy

Items in Open Research are protected by copyright, with all rights reserved, unless otherwise indicated.

Updated:  19 May 2020/ Responsible Officer:  University Librarian/ Page Contact:  Library Systems & Web Coordinator