Results 21 to 30 of about 897 (206)
Outlining precision boundaries among areas with different variability standards using magnetic susceptibility and geomorphic surfaces [PDF]
There is an increasing demand for detailed maps that represent in a simplified way the knowledge of the variability of a particular area or region maps.
Sammy S. R. Matias +3 more
doaj +1 more source
Digital soil mapping and its implications in the extrapolation of soil-landscape relationships in detailed scale [PDF]
: The objective of this work was to test the extrapolation of soil-landscape relationships in a reference area (RA) to a topographic map (scale 1:50,000), using digital soil mapping (DSM), and to compare these results to those obtained in similar studies
Mario Sergio Wolski +5 more
doaj +1 more source
Societal demands on soil functionality in agricultural soil-landscapes are confronted with yield losses and environmental impact. Soil functional information at national scale is required to address these challenges.
Mareike Ließ, Anika Gebauer, Axel Don
doaj +1 more source
Performance of a Portable FT-NIR MEMS Spectrometer to Predict Soil Features
NIR spectrometers based on micro-electromechanical systems (MEMS) have become available in the market, with lower prices and smaller dimensions than traditional spectrometers.
Simone Priori +4 more
doaj +1 more source
The carbon stock (C Stock) is a key soil attribute, especially in areas under degradation. The objective of this study was to map the C Stock and other physical and chemical attributes on the soil surface of a micro-watershed located in the Gilbués ...
Julio César Galdino de Sousa +8 more
doaj +1 more source
Abstract Declines in soil multifunctionality (e.gsoil capacity to provide food and energy) are closely related to changes in the soil microbiome (e.g., diversity) Determining ecological drivers promoting such microbiome changes is critical knowledge for protecting soil functions.
Vanessa Pino +5 more
wiley +1 more source
Abstract A 3–4D soil model represents a logical step forward from one‐dimensional soil columns (1D), two‐dimensional soil maps (2D), and three‐dimensional soil volumes (3D) toward dynamic soil models (4D), with time as the fourth dimension. The challenge is to develop modeling tools that account for the states of soil properties, including the spatial ...
Horst H. Gerke +4 more
wiley +1 more source
Abstract Digital soil mapping provides estimates of soil properties and, in turn, an understanding of the spatial variation in soil across landscapes. In recent years, several digital soil mapping products have been released across the world. An end user in New South Wales (NSW), Australia, could choose between a global product (SoilGrids), a national ...
Si Yang Han +4 more
wiley +1 more source
Mapping depth to Pleistocene sand with Bayesian generalized linear geostatistical models
Abstract Spatial soil applications frequently involve binomial variables. If relevant environmental covariates are available, using a Bayesian generalized linear model (BGLM) might be a solution for mapping such discrete soil properties. The geostatistical extension, a Bayesian generalized linear geostatistical model (BGLGM), adds spatial dependence ...
Luc Steinbuch +2 more
wiley +1 more source
On-the-Go Vis-NIR Spectroscopy for Field-Scale Spatial-Temporal Monitoring of Soil Organic Carbon
Agricultural soils serve as crucial storage sites for soil organic carbon (SOC). Their appropriate management is pivotal for mitigating climate change.
Javier Reyes, Mareike Ließ
doaj +1 more source

