Modeling soil processes: Review, key challenges, and new perspectives
The remarkable complexity of soil and its importance to a wide range of ecosystem services
presents major challenges to the modeling of soil processes. Although major progress in soil …
presents major challenges to the modeling of soil processes. Although major progress in soil …
[HTML][HTML] Potential of integrated field spectroscopy and spatial analysis for enhanced assessment of soil contamination: A prospective review
There are tens of millions of contaminated soil sites in the world, and with an increasing
population and associated risk there is a growing pressure to remediate them. A barrier to …
population and associated risk there is a growing pressure to remediate them. A barrier to …
Using soil library hyperspectral reflectance and machine learning to predict soil organic carbon: Assessing potential of airborne and spaceborne optical soil sensing
Soil organic carbon (SOC) is a key variable to determine soil functioning, ecosystem
services, and global carbon cycles. Spectroscopy, particularly optical hyperspectral …
services, and global carbon cycles. Spectroscopy, particularly optical hyperspectral …
Imaging spectroscopy for soil mapping and monitoring
There is a renewed awareness of the finite nature of the world's soil resources, growing
concern about soil security and significant uncertainties about the carrying capacity of the …
concern about soil security and significant uncertainties about the carrying capacity of the …
Barest pixel composite for agricultural areas using landsat time series
Many soil remote sensing applications rely on narrow-band observations to exploit
molecular absorption features. However, broadband sensors are invaluable for soil …
molecular absorption features. However, broadband sensors are invaluable for soil …
On-line vis-NIR spectroscopy prediction of soil organic carbon using machine learning
S Nawar, AM Mouazen - Soil and Tillage Research, 2019 - Elsevier
Accurate on-line visible and near infrared (vis-NIR) spectroscopy prediction of soil organic
carbon (OC) is essential for food security and environmental management. This paper aims …
carbon (OC) is essential for food security and environmental management. This paper aims …
Prediction of soil organic matter in northwestern China using fractional-order derivative spectroscopy and modified normalized difference indices
Abstract Visible-near-infrared (Vis-NIR) spectroscopy makes it possible to estimate soil
organic matter content (SOMC). Spectral pretreatment techniques have important …
organic matter content (SOMC). Spectral pretreatment techniques have important …
Accounting for the effects of water and the environment on proximally sensed vis–NIR soil spectra and their calibrations
Visible–near infrared (vis–NIR) spectroscopy can be used to estimate soil properties
effectively using spectroscopic calibrations derived from data contained in spectroscopic …
effectively using spectroscopic calibrations derived from data contained in spectroscopic …
Synthesized use of VisNIR DRS and PXRF for soil characterization: Total carbon and total nitrogen
Soil total carbon (TC) and total nitrogen (TN) both play critical roles in soil health and
ecosystem dynamics. The former is involved in soil structural formation, atmospheric carbon …
ecosystem dynamics. The former is involved in soil structural formation, atmospheric carbon …
Predicting physical and chemical properties of US soils with a mid‐infrared reflectance spectral library
Core Ideas A mid‐infrared spectral library containing 20,000+ samples was reported.
Twelve soil physical and chemical properties were predicted with MIR spectra. ANN models …
Twelve soil physical and chemical properties were predicted with MIR spectra. ANN models …