Rodger B. Grayson

TL;DR: In this article, the authors describe elevation data sources, digital elevation model structures, and the analysis of digital elevation data for hydrological, geomorphological, and biological applications.

TL;DR: The geostatistical properties of soil moisture patterns from five different sites in Australia (Tarrawarra and Point Nepean) and New Zealand (three sites from the Mahurangi River Basin) are analysed in this paper.

TL;DR: In this article, the authors describe a soil moisture data set from the 82,000 km2 Murrumbidgee River Catchment in southern New South Wales, Australia, which is archived from the MSMMN since its inception in September 2001.

TL;DR: In this article, the spatial correlation structure of these soil moisture patterns is analyzed and a nugget effect due to measurement error and variability at small scales contributes to the variability at the 10 m scale, which is the smallest scale in most of the data sets.

TL;DR: In this article, the authors proposed that field turbidity measurements are well correlated with the concentration of some transported material, in particular total suspended solids and total phosphorus and that these correlations can be used along with logged flow and turbidity data to compute load estimates which are less uncertain than using traditional methods.