Results 21 to 30 of about 38,190,161 (289)

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

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

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

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

Bibliometric Analysis for Pattern Exploration in Worldwide Digital Soil Mapping Publications

Anais da Academia Brasileira de Ciências, 2018
Bibliometric analyses provide a clear understanding of the scientific performance and relate them with standards of the global scientific production. Soil science is an outstanding and developing field among environmental sciences.
LUCIANO C. CANCIAN, RICARDO S.D. DALMOLIN, ALEXANDRE T. CATEN   +2 more
doaj   +1 more source

Impacts of Historical Land Use Changes on Ecosystem Services in Guangdong Province, China

Land, 2022
Assessing land use change and its impacts on ecosystem services is of great significance for optimizing land use management and enhancing ecosystem sustainability. This study explores land use changes and their impacts on five typical ecosystem services,
Haizhen Chen, Yi Chen, Xiaosong Chen, Xingzhong Zhang, Haowei Wu, Zhihui Li   +5 more
doaj   +1 more source

Three-dimensional mapping of soil organic matter content using soil type-specific depth functions [PDF]

, 2010
This paper proposes a method for mapping depth functions of soil organic matter (SOM) that combines general pedological knowledge with geostatistical modeling.
Brus, D.J., Stoorvogel, J.J., Kempen, B.
core   +1 more source

Influences of different environmental covariates on county-scale soil type identification using remote sensing images

Ecological Indicators, 2022
The scientific selection of environmental covariates is an important factor that affects the accuracy of digital soil mapping (DSM).An investigation of the influences of different environmental covariates on soil type identification is vital to ...
Mengqi Duan, Zhiqian Guo, Xiaoguang Zhang, Chen Wang   +3 more
doaj   +1 more source

Operationalising digital soil mapping – Lessons from Australia [PDF]

, 2020
International audienceAustralia has advanced the science and application of Digital Soil Mapping (DSM). Over the past decade, DSM in Australia has evolved from being purely research focused to become ‘operational’, where it is embedded into many soil ...
Stockmann, Uta, Robinson, Nathan, Mcbratney, Alex, Bennett, John, Ringrose-Voase, Anthony, Payne, Jim, Andrews, Kaitlyn, Meier, Elizabeth, Jones, Edward, Odgers, Nathan, Malone, Brendan, Grundy, Mike, Triantafilis, John, Zund, Peter, Holmes, Karen, Slater, Brian, Padarian, José, Harms, Ben, O\u27Brien, Lauren, Minasny, Budiman, Meier, Elizabeth A, Malone, Brendan P., Wilford, John, Meier, Elizabeth A., Thomas, Mark, Kidd, Darren, Stower, Liz, Wilson, Peter, Gray, Jonathan, McLean Bennett, John, O'Brien, Lauren, van Gool, Dennis, Gray, Jonathon, Arrouays, Dominique, Liddicoat, Craig, Malone, Brendan P, Searle, Ross, Bennett, John Mclean   +37 more
core   +1 more source

Game theory interpretation of digital soil mapping convolutional neural networks [PDF]

SOIL, 2020
The use of complex models such as deep neural networks has yielded large improvements in predictive tasks in many fields including digital soil mapping.
J. Padarian, A. B. McBratney, B. Minasny
doaj   +1 more source