Recent advances of chemometric calibration methods in modern spectroscopy: Algorithms, strategy, and related issues

HP Wang, P Chen, JW Dai, D Liu, JY Li, YP Xu… - TrAC Trends in …, 2022 - Elsevier
In recent years, modern spectral analysis techniques, such as ultraviolet–visible (UV-vis)
spectroscopy, mid-infrared (MIR) spectroscopy, near-infrared (NIR) spectroscopy, Raman …

Preprocessing methods for near‐infrared spectrum calibration

Y Jiao, Z Li, X Chen, S Fei - Journal of Chemometrics, 2020 - Wiley Online Library
Spectrum preprocessing is an essential component in the near‐infrared (NIR) calibration.
However, it has mostly been configured arbitrarily in the literature and calibration …

The effect of preprocessing techniques, applied to numeric features, on classification algorithms' performance

E Alshdaifat, D Alshdaifat, A Alsarhan, F Hussein… - Data, 2021 - mdpi.com
It is recognized that the performance of any prediction model is a function of several factors.
One of the most significant factors is the adopted preprocessing techniques. In other words …

Mapping and spatiotemporal dynamics of land-use and land-cover change based on the Google Earth Engine cloud platform from Landsat imagery: A case study of …

C Chen, X Yang, S Jiang, Z Liu - Heliyon, 2023 - cell.com
Land resources are an essential foundation for socioeconomic development. Island land
resources are limited, the type changes are particularly frequent, and the environment is …

A review of progress in identifying and characterizing biocrusts using proximal and remote sensing

O Rozenstein, J Adamowski - … Journal of Applied Earth Observation and …, 2017 - Elsevier
Biocrusts are critical components of desert ecosystems, significantly modifying the surfaces
they occupy. The mixture of biological components and soil particles that form the crust, in …

The use of airborne hyperspectral data for tree species classification in a species-rich Central European forest area

R Richter, B Reu, C Wirth, D Doktor… - International journal of …, 2016 - Elsevier
The success of remote sensing approaches to assess tree species diversity in a
heterogeneously mixed forest stand depends on the availability of both appropriate data and …

What mediates tree mortality during drought in the southern Sierra Nevada?

T Paz‐Kagan, PG Brodrick, NR Vaughn… - Ecological …, 2017 - Wiley Online Library
Severe drought has the potential to cause selective mortality within a forest, thereby
inducing shifts in forest species composition. The southern Sierra Nevada foothills and …

RamanSPy: An open-source Python package for integrative Raman spectroscopy data analysis

D Georgiev, SV Pedersen, R Xie… - Analytical …, 2024 - ACS Publications
Raman spectroscopy is a nondestructive and label-free chemical analysis technique, which
plays a key role in the analysis and discovery cycle of various branches of science …

Use of near-infrared spectroscopy for the classification of medicinal cannabis cultivars and the prediction of their cannabinoid and terpene contents

M Birenboim, D Kengisbuch, D Chalupowicz, D Maurer… - Phytochemistry, 2022 - Elsevier
Cannabis sativa L. is used to treat a wide variety of medical conditions, in light of its
beneficial pharmacological properties of its cannabinoids and terpenes. At present, the …

The influence of spectral pretreatment on the selection of representative calibration samples for soil organic matter estimation using Vis-NIR reflectance spectroscopy

Y Liu, Y Liu, Y Chen, Y Zhang, T Shi, J Wang, Y Hong… - Remote Sensing, 2019 - mdpi.com
In constructing models for predicting soil organic matter (SOM) by using visible and near-
infrared (vis–NIR) spectroscopy, the selection of representative calibration samples is …