Results 11 to 20 of about 19,498 (265)

Digital Soil Map of the World

Science, 2009
Increased demand and advanced techniques could lead to more refined mapping and management of soils.
Sanchez, Pedro A., Ahamed, Sonia, Carré, Florence, Hartemink, Alfred E., Hempel, Jonathan, Huising, Jeroen, Lagacherie, Philippe, Mcbratney, Alex B., Mckenzie, Neil J., Mendonça-Santos, Maria de Lourdes, Minasny, Buniman, Montanarella, Luca, Okoth, Peter, Palm, Cheryl A., Sachs, Jeffrey D., Shepherd, Keith D., Vågen, Tor-Gunnar, Vanlauwe, Bernard, Walsh, Markus G., Winowiecki, Leigh A., Zhang, Gan-Lin   +20 more
openaire   +2 more sources

Mapping of Soil pH Based on SVM-RFE Feature Selection Algorithm

Agronomy, 2022
The explicit mapping of spatial soil pH is beneficial to evaluate the effects of land-use changes in soil quality. Digital soil mapping methods based on machine learning have been considered one effective way to predict the spatial distribution of soil ...
Jia Guo, Ku Wang, Shaofei Jin
doaj   +1 more source

Solum depth spatial prediction comparing conventional with knowledge-based digital soil mapping approaches

Scientia Agricola, 2014
Solum depth and its spatial distribution play an important role in different types of environmental studies. Several approaches have been used for fitting quantitative relationships between soil properties and their environment in order to predict them ...
Michele Duarte de Menezes, Sérgio Henrique Godinho Silva, Carlos Rogério de Mello, Phillip Ray Owens, Nilton Curi   +4 more
doaj   +1 more source

Le dessous des cartes

Revue d'anthropologie des connaissances, 2020
While soils progressively become the target of environmental policies, soil sciences undergo renewal. Soil mapping is currently transforming with the rise of digital mapping, linked to the blossoming of information systems, modeling and remote sensing ...
Juliette Kon Kam King
doaj   +1 more source

What is the Best Inference Trajectory for Mapping Soil Functions: An Example of Mapping Soil Available Water Capacity over Languedoc Roussillon (France)

Soil Systems, 2019
Extending digital soil mapping to the mapping of soil functions that can support end-user decisions comes to coupling a digital soil mapping procedure and a soil function assessment method.
Quentin Styc, Philippe Lagacherie
doaj   +1 more source

Digital soil survey and mapping underpinning inherent and dynamic soil attribute condition assessments

Soil Security, 2022
We set out in this work to create a suite of 3D-like digital soil attribute maps for a research farming enterprise situated in the South Eastern Agricultural Zone of NSW, Australia. These digital maps come about because of a reconnaissance soil survey to
Brendan Malone, Uta Stockmann, Mark Glover, Gordan McLachlan, Sophia Engelhardt, Seija Tuomi   +5 more
doaj   +1 more source

Comparison between detailed digital and conventional soil maps of an area with complex geology

Revista Brasileira de Ciência do Solo, 2013
Since different pedologists will draw different soil maps of a same area, it is important to compare the differences between mapping by specialists and mapping techniques, as for example currently intensively discussed Digital Soil Mapping. Four detailed
Osmar Bazaglia Filho, Rodnei Rizzo, Igo Fernando Lepsch, Hélio do Prado, Felipe Haenel Gomes, Jairo Antonio Mazza, José Alexandre Melo Demattê   +6 more
doaj   +1 more source

Improving 3D Digital Soil Mapping Based on Spatialized Lab Soil Spectral Information

Remote Sensing, 2023
Readily available environmental covariates in current digital soil mapping usually do not indicate the spatial differences between deep soil attributes.
Zheng Sun, Feng Liu, Decai Wang, Huayong Wu, Ganlin Zhang   +4 more
doaj   +1 more source

Multivariate random forest for digital soil mapping

Geoderma, 2022
In digital soil mapping (DSM), soil maps are usually produced in a univariate manner, that is, each soil map is produced independently and therefore, when multiple soil properties are mapped the underlying dependence structure between these soil properties is ignored. This may lead to inconsistent predictions and simulations.
Stephan van der Westhuizen, Gerard B.M. Heuvelink, David P. Hofmeyr   +2 more
openaire   +1 more source

Validation of uncertainty predictions in digital soil mapping

Geoderma, 2023
It is quite common in digital soil mapping (DSM) to quantify the uncertainty of issued predictions, that is to make probabilistic predictions. Yet, little attention has been paid to its validation. Probabilistic predictions are only of value for end users if they are reliable and ideally also sharp.
Schmidinger, Jonas, Heuvelink, Gerard B.M.   +1 more
openaire   +1 more source