From laboratory to proximal sensing spectroscopy for soil organic carbon estimation—A review
Rapid and cost-effective soil properties estimations are considered imperative for the
monitoring and recording of agricultural soil condition for the implementation of site-specific …
monitoring and recording of agricultural soil condition for the implementation of site-specific …
An advanced soil organic carbon content prediction model via fused temporal-spatial-spectral (TSS) information based on machine learning and deep learning …
X Meng, Y Bao, Y Wang, X Zhang, H Liu - Remote Sensing of Environment, 2022 - Elsevier
Abstract Knowledge of the soil organic carbon (SOC) content is critical for environmental
sustainability and carbon neutrality. With the development of remote sensing data and …
sustainability and carbon neutrality. With the development of remote sensing data and …
Ensemble machine-learning-based framework for estimating total nitrogen concentration in water using drone-borne hyperspectral imagery of emergent plants: A case …
In arid and semi-arid regions, water-quality problems are crucial to local social demand and
human well-being. However, the conventional remote sensing-based direct detection of …
human well-being. However, the conventional remote sensing-based direct detection of …
Estimating agricultural soil moisture content through UAV-based hyperspectral images in the arid region
Unmanned aerial vehicle (UAV)-based hyperspectral remote sensing is an important
monitoring technology for the soil moisture content (SMC) of agroecological systems in arid …
monitoring technology for the soil moisture content (SMC) of agroecological systems in arid …
[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 …
A soil quality index using Vis-NIR and pXRF spectra of a soil profile
A soil quality index (SQI) can be used to manage the soil for potential uses and remediate
limitations of soil for sustainable agriculture and ecology. The objectives of this study were to …
limitations of soil for sustainable agriculture and ecology. The objectives of this study were to …
Mapping of soil organic matter in a typical black soil area using Landsat-8 synthetic images at different time periods
C Luo, W Zhang, X Zhang, H Liu - Catena, 2023 - Elsevier
Mapping of soil organic matter (SOM) in cultivated land is one of the important aspects of
digital soil mapping, and its results are of great significance for agricultural precision …
digital soil mapping, and its results are of great significance for agricultural precision …
Fourier‐transform infrared spectroscopy for soil organic matter analysis
AJ Margenot, SJ Parikh… - Soil Science Society of …, 2023 - Wiley Online Library
The study of soil organic matter (SOM) can benefit from the use of Fourier‐transform infrared
spectroscopy, an analytical method that complements traditional fractionation and extraction …
spectroscopy, an analytical method that complements traditional fractionation and extraction …
Assessing toxic metal chromium in the soil in coal mining areas via proximal sensing: Prerequisites for land rehabilitation and sustainable development
The rapid and accurate determination of soil chromium (Cr) is crucial for preventing toxic
element pollution in soils and ensuring ecological security. Proximal sensing technology …
element pollution in soils and ensuring ecological security. Proximal sensing technology …