Continuing progress in the field of two-dimensional correlation spectroscopy (2D-COS): Part III. Versatile applications
In this review, the comprehensive summary of two-dimensional correlation spectroscopy (2D-
COS) for the last two years is covered. The remarkable applications of 2D-COS in diverse …
COS) for the last two years is covered. The remarkable applications of 2D-COS in diverse …
Continuing progress in the field of two-dimensional correlation spectroscopy (2D-COS), part II. Recent noteworthy developments
This comprehensive survey review compiles noteworthy developments and new concepts of
two-dimensional correlation spectroscopy (2D-COS) for the last two years. It covers review …
two-dimensional correlation spectroscopy (2D-COS) for the last two years. It covers review …
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 …
Comparison of leaf chlorophyll content retrieval performance of citrus using FOD and CWT methods with field-based full-spectrum hyperspectral reflectance data
Citrus is one of the most economically valuable fruit trees in the world, for which leaf
chlorophyll content (LCC) serves as a crucial indicator for evaluating its growth and health …
chlorophyll content (LCC) serves as a crucial indicator for evaluating its growth and health …
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] Digital mapping of soil salinization based on Sentinel-1 and Sentinel-2 data combined with machine learning algorithms
G Ma, J Ding, L Han, Z Zhang, S Ran - Regional Sustainability, 2021 - Elsevier
Soil salinization is one of the most important causes of land degradation and desertification,
especially in arid and semi-arid areas. The dynamic monitoring of soil salinization is of great …
especially in arid and semi-arid areas. The dynamic monitoring of soil salinization is of great …
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 …
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 …
Integrating active and passive remote sensing data for mapping soil salinity using machine learning and feature selection approaches in arid regions
SA Mohamed, MM Metwaly, MR Metwalli… - Remote Sensing, 2023 - mdpi.com
The prevention of soil salinization and managing agricultural irrigation depend greatly on
accurately estimating soil salinity. Although the long-standing laboratory method of …
accurately estimating soil salinity. Although the long-standing laboratory method of …
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 …