This review addresses the applicability of visible (Vis), near-infrared (NIR), and mid-infrared
(MIR) reflectance spectroscopy for the prediction of soil properties. We address (1) the …

This chapter provides a review on the state of soil visible–near infrared (vis–NIR)
spectroscopy. Our intention is for the review to serve as a source of up-to-date information …

Biodiversity is responsible for the provision of many ecosystem services; human well‐being
is based on these services, and consequently on biodiversity. In soil, earthworms represent …

Spectral variable selection is an important step in spectroscopic data analysis, as it tends to
parsimonious data representation and can result in multivariate models with greater …

Over several decades, near infrared (NIR) diffuse reflectance spectroscopy (NIRS) has been
shown to be extremely versatile for the rapid analysis of many agricultural materials …

A successful determination of spectrally active soil components with visible and near
infrared reflectance spectroscopy (VIS-NIRS, 400–2500nm) depends on the selection of an …

Soil degradation processes have dramatically increased in their extent and intensity over the
last decades. Progressively, actions have been taken in order to evaluate and reduce the …

Soil visible and near-infrared (Vis-NIR, 350–2500 nm) spectroscopy has been proven as an
alternative to conventional laboratory analysis due to its advantages being rapid, cost …

A number of algorithms have been developed for soil organic matter (SOM) or soil heavy
metal detection in airborne hyperspectral imagery with high spatial and spectral resolutions …

Discriminating commercial tree species using hyperspectral remote sensing techniques is
critical in monitoring the spatial distributions and compositions of commercial forests …