There is global interest in spectroscopy and the development of large and diverse soil
spectral libraries (SSL) to model soil organic carbon (SOC) and monitor, report, and verify …

We need to determine the best use of soil vis–NIR spectral libraries that are being
developed at regional, national and global scales to predict soil properties from new spectral …

Accurate quantification of urban soil organic carbon (SOC) is essential for understanding
anthropogenic changes and further guiding effective city managements. Visible and near …

Soil organic carbon (SOC) assessment is crucial for evaluating soil health and supporting
carbon sequestration efforts. Traditional methods like wet digestion and dry combustion are …

The rapid development in NIR and information technologies saw the development of various
initiatives that have generated large scale databases of soil spectroscopy globally. Models …

Resource‐efficient techniques for accurate soil property estimation are necessary to satisfy
the increasing demand for soil data to support environmental monitoring, precision …

Convolutional neural networks (CNN) for spectroscopic modelling are currently tuned
manually, and the effects of their hyperparameters are not analysed. These can result in sub …

Near infrared (NIR) spectroscopy was used to predict the soil organic carbon (SOC) contents
at local scale in eleven target sites. For that, eight spectral libraries of different sizes (ranging …

The most commonly used approach to estimate soil variables from remote-sensing data
entails time-consuming and expensive data collection including chemical and physical …

Anthropogenic activities, such as sewage irrigation and application of pesticides and
fertilizers, are the main cause of chromium (Cr) contamination in agricultural soils. Cr …