Hyperspectral remote sensing (HRS) has emerged as a promising technique for monitoring
the spatiotemporal distribution of soil heavy metal (SHM) contamination, owing to its …

Recommendations for nitrogen (N) fertilization are based on the analysis of the soil mineral
N (SMN) content of one composite sample that is assumed to represent the average …

Soil heavy metals pollution has been becoming one of the severely environmental issues
globally. Previous studies reported laboratory-measured spectra could be used to infer soil …

Soil salinization is a global issue resulting in soil degradation, arable land loss and
ecological environmental deterioration. Over the decades, multispectral and hyperspectral …

In recent decades, with the rapid development of artificial intelligence, data mining, and
cloud computing, new chemometric methods have sprung up and become one of the fastest …

The present study was developed in a joint partnership with the Brazilian pedometrics
community to standardize and evaluate spectra within the 350–2500 nm range of Brazilian …

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 …

Digital soil map** has been increasingly advocated as an efficient approach to deliver fine-
resolution and up-to-date soil information in evaluating soil ecosystem services. Considering …

Abstract Machine learning (ML) models have recently been used in visible and near-infrared
reflectance (VNIR) spectroscopy applications. However, the predictive performance of ML …

Soil organic carbon (SOC) plays an important role in controlling the function and quality of
soil and offsetting the emissions of greenhouse gases. However, the dynamic monitoring …