Results 31 to 40 of about 131 (110)

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

Magnetic Susceptibility of Soil to Differentiate Soil Environments in Southern Brazil

Revista Brasileira de Ciência do Solo
The interest in new techniques to support digital soil mapping (DSM) is increasing. Numerous studies pointed out that the measure of magnetic susceptibility (MS) can be extremely useful in the identification of properties related with factors and ...
Priscila Vogelei Ramos, Ricardo Simão Diniz Dalmolin, José Marques Júnior, Diego Silva Siqueira, Jaime Antonio de Almeida, Jean Michel Moura-Bueno   +5 more
doaj   +1 more source

Modern Neural Networks for Small Tabular Datasets: The New Default for Field‐Scale Digital Soil Mapping?

European Journal of Soil Science, Volume 77, Issue 2, March–April 2026.
ABSTRACT In the field of pedometrics, tabular machine learning is the predominant method for soil property prediction from remote and proximal soil sensing data, forming a central component of Digital Soil Mapping (DSM). At the field‐scale, this pedometric modeling task is typically constrained by small training sample sizes and high feature‐to‐sample ...
Viacheslav Barkov, Jonas Schmidinger, Robin Gebbers, Martin Atzmueller   +3 more
wiley   +1 more source

Influences of Sampling Design and Model Selection on Predictions of Chemical Compounds in Petroferric Formations in the Brazilian Amazon

Remote Sensing
Morro de Seis Lagos, a region in the Brazilian Amazon, contains a small (less than 1%) formation of siderite carbonatites which is considered to be one of the world’s largest niobium reserves.
Niriele Bruno Rodrigues, Theresa Rocco Barbosa, Helena Saraiva Koenow Pinheiro, Marcelo Mancini, Quentin D. Read, Joshua Blackstock, Edwin H. Winzeler, David Miller, Phillip R. Owens, Zamir Libohova   +9 more
doaj   +1 more source

A Stochastic Approach to Quantifying the Propagation of Uncertainty in Soil Organic Carbon Content

Journal of Plant Nutrition and Soil Science, Volume 189, Issue 1, Page 117-130, February 2026.
ABSTRACT Background Precision agriculture (PA) is a site‐specific management approach that utilises spatiotemporal information to improve productivity while also promoting sustainability. Accurate estimates of soil properties, along with the uncertainty of these estimates, are necessary for decision‐making in PA.
Leonardo Inforsato, Pablo Rosso, Magdalena Main‐Knorn, Ahsan Raza, Siyu Huang, Gohar Ghazaryan, Claas Nendel   +6 more
wiley   +1 more source

VIS-NIR spectral reflectance for discretization of soils with high sand content

Semina: Ciências Agrárias, 2019
The aim of this study is to evaluate the spatial distribution and relationships between the physicochemical attributes and radiometry of soils with high sand contents.
Gustavo Eduardo Pereira, Letícia Sequinatto, Jaime Antonio de Almeida, Alexandre ten Caten, Josie Moraes Mota   +4 more
doaj   +3 more sources

Digital soil mapping from conventional field soil observations

Soil and Water Research, 2013
We tested the performance of a formalized digital soil mapping (DSM) approach comprising fuzzy k-means (FKM) classification and regression-kriging to produce soil type maps from a fine-scale soil observation network in Rišňovce, Slovakia.
Juraj BALKOVIČ, Zuzana RAMPAŠEKOVÁ, Vladimír HUTÁR, Jaroslava SOBOCKÁ, Rastislav SKALSKÝ   +4 more
doaj   +1 more source

A pedogeomorphic strategy for tidal marsh carbon accounting

Soil Science Society of America Journal, Volume 90, Issue 1, January/February 2026.
Abstract Tidal marsh soils have some of the largest carbon stocks of any ecosystem, yet uncertainty remains about the best approach to quantify these C stocks. We tested whether separating tidal marshes into pedogeomorphic units (PGUs) could improve regional‐scale blue C accounting in two separate regions on the Atlantic coast: southern New England (NE)
Joseph V. Manetta, Marissa Dellinger, Bailey Parrish, Matthew C. Ricker, Mark H. Stolt   +4 more
wiley   +1 more source

Complementary geophysical, geomorphometric and pedological approaches for characterizing shallow and deep subsurface materials in a colluvial‐alluvial plain in Atlantic rainforest

Earth Surface Processes and Landforms, Volume 50, Issue 15, December 2025.
This study combines GPR, 2D ERT and UAV‐derived terrain models to characterize sediment variability in a colluvial‐alluvial plain. GPR identified sandy lenses and clay‐rich layers, while ERT revealed deeper conductive and resistive zones, including a gneissic basement.
Nádia Mariane Mucha, Luiz Claudio de Paula Souza, Alessandra de Barros Silva Bongiolo, Rodoilton Stevanato, Rafael Espindola Canata, Jairo Calderari de Oliveira   +5 more
wiley   +1 more source

Soil legacy data: An opportunity for digital soil mapping [PDF]

Revista Brasileira de Ciência do Solo
Soil legacy data is past information on soils available from various sources (e.g. survey reports and maps). When compiled and organized, data obtained through historical retrieval can be used as basic input or validation data for digital soil mapping. A
Beatriz Macêdo Medeiros, Letícia Sequinatto-Rossi, Alexandre ten Caten, Gustavo Eduardo Pereira, Elisângela Benedet da Silva, Kelly Tamires Urbano Daboit   +5 more
doaj   +1 more source