Published in Scientific Data
Measurement(s) depthTechnology Type(s)computational modeling techniqueFactor Type(s)biomass yield • slope • wetness • rock type • soil type • geographic locationSample Characteristic - EnvironmentlandSample Characteristic - LocationChina Machine-accessible metadata file describing the reported data: 10.6084/m9.figshare.11358929
Digital soil mapping and GlobalSoilMap. Main advances and ways forward
Monitoring soil organic carbon in alpine soils using in situ vis‐NIR spectroscopy and a multilayer perceptron
Comparing laboratory and airborne hyperspectral data for the estimation and mapping of topsoil organic carbon: Feature selection coupled with random forest
Model averaging for mapping topsoil organic carbon in France
Modelling bioaccumulation of heavy metals in soil-crop ecosystems and identifying its controlling factors using machine learning
Evaluation et développement de nouvelles fonctions de pédotransfert pour l’estimation du RU. Séminaire de restitution du projet RUEdesSOLS
Published in The Science of the total environment
The soil's pH is the single most important indicator of the soil's quality, whether for agriculture, pollution control or environmental health and ecosystem functioning. Well documented data on soil pH are sparse for the whole of China - data for only 4700 soil profiles were available from China's Second National Soil Inventory. By combining those ...
X-ray fluorescence and visible near infrared sensor fusion for predicting soil chromium content
