Remote sensing techniques for soil organic carbon estimation: A review
Towards the need for sustainable development, remote sensing (RS) techniques in the
Visible-Near Infrared–Shortwave Infrared (VNIR–SWIR, 400–2500 nm) region could assist …
Visible-Near Infrared–Shortwave Infrared (VNIR–SWIR, 400–2500 nm) region could assist …
Visible, near-infrared, and mid-infrared spectroscopy applications for soil assessment with emphasis on soil organic matter content and quality: State-of-the-art and …
Visible near-infrared (Vis-NIR) reflection spectroscopy and mid-infrared (mid-IR) reflection
spectroscopy are cost-and time-effective and environmentally friendly techniques that could …
spectroscopy are cost-and time-effective and environmentally friendly techniques that could …
A novel intelligence approach based active and ensemble learning for agricultural soil organic carbon prediction using multispectral and SAR data fusion
Monitoring agricultural soil organic carbon (SOC) has played an essential role in
sustainable agricultural management. Precise and robust prediction of SOC greatly …
sustainable agricultural management. Precise and robust prediction of SOC greatly …
SOC content of global Mollisols at a 30 m spatial resolution from 1984 to 2021 generated by the novel ML-CNN prediction model
X Meng, Y Bao, C Luo, X Zhang, H Liu - Remote Sensing of Environment, 2024 - Elsevier
Carbon cycle is influenced by agricultural soils, and accurately map** the soil organic
carbon (SOC) content of global Mollisols at a 30 m spatial resolution can contribute to …
carbon (SOC) content of global Mollisols at a 30 m spatial resolution can contribute to …
National versus global modelling the 3D distribution of soil organic carbon in mainland France
This work presents the first high-resolution map of soil organic carbon (SOC) in mainland
France, including soils below 30 cm. The research was performed within the framework of …
France, including soils below 30 cm. The research was performed within the framework of …
Soil organic carbon map** using multispectral remote sensing data: Prediction ability of data with different spatial and spectral resolutions
The image spectral data, particularly hyperspectral data, has been proven as an efficient
data source for map** of the spatial variability of soil organic carbon (SOC). Multispectral …
data source for map** of the spatial variability of soil organic carbon (SOC). Multispectral …
Microbial contribution to SOM quantity and quality in density fractions of temperate arable soils
M Ludwig, J Achtenhagen, A Miltner… - Soil Biology and …, 2015 - Elsevier
The formation of soil organic matter (SOM) very much depends on microbial activity. Even
more, latest studies identified microbial necromass itself being a significant source of SOM …
more, latest studies identified microbial necromass itself being a significant source of SOM …
Map** stocks of soil total nitrogen using remote sensing data: A comparison of random forest models with different predictors
Y Zhang, B Sui, H Shen, L Ouyang - Computers and Electronics in …, 2019 - Elsevier
Estimation of soil total nitrogen (STN) is important for quantifying the spatial distribution of
soil N (Nitrogen) stocks, determining the amount absorbed by crops and avoiding yield …
soil N (Nitrogen) stocks, determining the amount absorbed by crops and avoiding yield …
[HTML][HTML] Map** Brazilian soil mineralogy using proximal and remote sensing data
Minerals control many soil functions and play a crucial role in addressing global existential
issues. Measuring the abundance of soil minerals is a laborious, costly, and time-consuming …
issues. Measuring the abundance of soil minerals is a laborious, costly, and time-consuming …
Fusion of soil and remote sensing data to model soil properties
Grand global challenges of our time, such as food security and soil security, cannot be met
without up-to-date, high-quality, high-resolution, spatiotemporal, and continuous soil and …
without up-to-date, high-quality, high-resolution, spatiotemporal, and continuous soil and …