To explore a rapid detection technology for detecting heavy metals in soil based on
hyperspectral data, this paper took an iron mine in Daye Country, Hubei Province, as the …

In this study the capabilities of seven multispectral and hyperspectral satellite imagers to
estimate soil variables (clay, sand, silt and organic carbon content) were investigated using …

Soil spectra are often measured in the laboratory, and there is an increasing number of large-
scale soil spectral libraries establishing across the world. However, calibration models …

Soil organic matter (SOM) is a key index for evaluating soil fertility and plays a vital role in
the terrestrial carbon cycle. Visible and near-infrared (Vis-NIR) spectroscopy is an effective …

The selection of samples for modelling of visible and near infrared (vis-NIR) spectra for
prediction of soil organic carbon (OC) is a crucial step for improving model prediction …

The effects of different contents of biochar and vermicompost on the microbial and enzymatic
activities of greenhouse soil were determined to provide a theoretical basis for improving the …

Visible/near-infrared (Vis/NIR) hyperspectral imaging was employed to determine the spatial
distribution of total nitrogen in pepper plant. Hyperspectral images of samples (leaves …

Soil organic matter (SOM) for topsoil is one of most important indicators to support the
success of mine ecological reclamation. SOM varies along the artificial mine landscape …

In constructing models for predicting soil organic matter (SOM) by using visible and near-
infrared (vis–NIR) spectroscopy, the selection of representative calibration samples is …

Developing spectral models of soil properties is an important frontier in remote sensing and
soil science. Several studies have focused on modeling soil properties such as total pools of …