Application of fractional-order derivative in the quantitative estimation of soil organic matter content through visible and near-infrared spectroscopy
The spectral preprocessing method has become an integral component of soil analysis
through visible and near-infrared (Vis-NIR) spectroscopy. Various spectral pretreatment …
through visible and near-infrared (Vis-NIR) spectroscopy. Various spectral pretreatment …
[HTML][HTML] Spectral fusion modeling for soil organic carbon by a parallel input-convolutional neural network
Abstract Visible-to-near-infrared (vis–NIR) and mid-infrared (MIR) spectroscopy have been
widely utilized for the quantitative estimation of soil organic carbon (SOC). The fusion of vis …
widely utilized for the quantitative estimation of soil organic carbon (SOC). The fusion of vis …
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 …
Strategies for the efficient estimation of soil organic matter in salt-affected soils through Vis-NIR spectroscopy: Optimal band combination algorithm and spectral …
Visible and near-infrared (Vis-NIR) spectroscopy is a cost-effective technique for alternative
soil physical and chemical analyses for estimating soil properties. The optimal band …
soil physical and chemical analyses for estimating soil properties. The optimal band …
Data mining of urban soil spectral library for estimating organic carbon
Accurate quantification of urban soil organic carbon (SOC) is essential for understanding
anthropogenic changes and further guiding effective city managements. Visible and near …
anthropogenic changes and further guiding effective city managements. Visible and near …
Combination of fractional order derivative and memory-based learning algorithm to improve the estimation accuracy of soil organic matter by visible and near-infrared …
Visible and near-infrared (Vis–NIR) spectroscopy is used to estimate soil organic matter
(SOM). Spectral preprocessing techniques and multivariate modeling methods play …
(SOM). Spectral preprocessing techniques and multivariate modeling methods play …
Comparing laboratory and airborne hyperspectral data for the estimation and mapping of topsoil organic carbon: Feature selection coupled with random forest
Rapid monitoring of soil organic carbon (SOC) with fine sampling resolution is vital for
further understanding of the global carbon cycle and sustainable management of soil …
further understanding of the global carbon cycle and sustainable management of soil …
Development of a soil heavy metal estimation method based on a spectral index: Combining fractional-order derivative pretreatment and the absorption mechanism
L Chen, J Lai, K Tan, X Wang, Y Chen, J Ding - Science of the Total …, 2022 - Elsevier
Visible and near-infrared (Vis–NIR) reflectance is an effective way to estimate soil heavy
metal content. In this study, in order to magnify the spectral information of the soil heavy …
metal content. In this study, in order to magnify the spectral information of the soil heavy …
Evaluating calibration and spectral variable selection methods for predicting three soil nutrients using Vis-NIR spectroscopy
P Guo, T Li, H Gao, X Chen, Y Cui, Y Huang - Remote Sensing, 2021 - mdpi.com
Soil nutrients, including soil available potassium (SAK), soil available phosphorous (SAP),
and soil organic matter (SOM), play an important role in farmland soil productivity, food …
and soil organic matter (SOM), play an important role in farmland soil productivity, food …
Exploring the potential of airborne hyperspectral image for estimating topsoil organic carbon: Effects of fractional-order derivative and optimal band combination …
Estimating soil organic carbon (SOC) in topsoil can help improve soil quality and food
production. This study aimed to explore the potential of airborne hyperspectral image to …
production. This study aimed to explore the potential of airborne hyperspectral image to …