How do Spatial Scale, Noise, and Reference Data affect Empirical Estimates of Error in ASAR Derived 1 km Resolution Soil Moisture?
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]
|Collections||ANU Research Publications|
|Source:||IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing|
|01_Doubkova_How_do_Spatial_Scale,_Noise,_2014.pdf||866.97 kB||Adobe PDF||Request a copy|
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