There is a renewed awareness of the finite nature of the world's soil resources, growing
concern about soil security and significant uncertainties about the carrying capacity of the …

Rough surfaces are ubiquitous in nature. Near-surface processes both encounter and create
surface roughness. Recent advances in surveying have improved the resolution, extent and …

Optical remotely sensed data are typically discontinuous, with missing values due to cloud
cover. Consequently, gap-filling solutions are needed for accurate crop phenology …

We apply the Support Vector Regression (SVR) machine learning model to estimate surface
roughness on a large alluvial fan of the Kosi River in the Himalayan Foreland from satellite …

This paper presents MULESME, a software designed for the systematic mapping of surface
soil moisture using Sentinel-1 SAR data. MULESME implements a multi-temporal algorithm …

Soil surface characteristics affect soil–water interactions and are in turn influenced by a
variety of soil properties. Likewise, the state and temporal change of soil surface roughness …

Rutting caused by heavy machinery during logging operations can lead to loss of
trafficability which is a considerable problem in designated skid trail systems. Wide base …

This paper presents an accessible and reliable method to measure surface roughness of
agricultural soils with a setup designed to tackle some of the challenges posed by …

Generally, the characterization of land surface roughness is obtained from the analysis of
height variations observed along transects (eg, root mean square (RMS) height, correlation …

This paper quantitatively explores, in terms of roughness indices, the effect of soil surface
irregularities on the diurnal variation of the broadband blue-sky albedo of a large range of …