Results 21 to 30 of about 19,498 (265)
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 +2 more
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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 +3 more
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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 +5 more
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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
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Using deep learning for Digital Soil Mapping [PDF]
SOIL, 2018 Abstract. Digital soil mapping has been widely used as a cost-effective method for generating soil maps. However, current DSM data representation rarely incorporates contextual information of the landscape. DSM models are usually calibrated using point observations intersected with spatially corresponding point covariates.
José Padarian +2 more
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Predicting Runoff Risks by Digital Soil Mapping [PDF]
Revista Brasileira de Ciência do Solo, 2016 ABSTRACT Digital soil mapping (DSM) permits continuous mapping soil types and properties through raster formats considering variation within soil class, in contrast to the traditional mapping that only considers spatial variation of soils at the boundaries of delineated polygons. The objective of this study was to compare the performance of SoLIM (Soil
Silva, Mayesse Aparecida da +5 more
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Hungarian Geographical Bulletin, 2015 Due to former soil surveys and mapping activities significant amount of soil information has accumulated in Hungary. Present soil data requirements are mainly fulfilled with these available datasets either by their direct usage or after certain specific ...
László Pásztor +7 more
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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 +4 more
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The development of digital models of the soil cover in the western part of Bol’shezemel’skaya tundra
Бюллетень Почвенного института им. В.В. Докучаева, 2019 The methods of digital mapping are promising for creating soil maps on difficultly accessible territories. This study was aimed at searching of optimal approaches for digital mapping of the soil cover in poorly studied western part of the Bol’shezemel ...
V. N. Vekshina
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Soil texture fractions modeling and mapping using LS-SVR algorithm [PDF]
Desert, 2020 Soil texture is variable through space and controls most of the soil’s Physico-chemical, biological and hydrological characteristics and governs agricultural production and yield.
M. Jeihouni +3 more
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