[HTML][HTML] A global spectral library to characterize the world's soil

RAV Rossel, T Behrens, E Ben-Dor, DJ Brown… - Earth-Science …, 2016 - Elsevier
Soil provides ecosystem services, supports human health and habitation, stores carbon and
regulates emissions of greenhouse gases. Unprecedented pressures on soil from …

The performance of visible, near-, and mid-infrared reflectance spectroscopy for prediction of soil physical, chemical, and biological properties

JM Soriano-Disla, LJ Janik… - Applied spectroscopy …, 2014 - Taylor & Francis
This review addresses the applicability of visible (Vis), near-infrared (NIR), and mid-infrared
(MIR) reflectance spectroscopy for the prediction of soil properties. We address (1) the …

Soil spectroscopy: an alternative to wet chemistry for soil monitoring

M Nocita, A Stevens, B van Wesemael… - Advances in …, 2015 - Elsevier
The soil science community is facing a growing demand of regional, continental, and
worldwide databases in order to monitor the status of the soil. However, the availability of …

Prediction of soil organic carbon at the European scale by visible and near infrared reflectance spectroscopy

A Stevens, M Nocita, G Tóth, L Montanarella… - PloS one, 2013 - journals.plos.org
Soil organic carbon is a key soil property related to soil fertility, aggregate stability and the
exchange of CO2 with the atmosphere. Existing soil maps and inventories can rarely be …

Prediction of soil organic carbon content by diffuse reflectance spectroscopy using a local partial least square regression approach

M Nocita, A Stevens, G Toth, P Panagos… - Soil Biology and …, 2014 - Elsevier
Due to the large spatial variation of soil organic carbon (SOC) content, assessing the current
state of SOC for large areas is costly and time consuming. Visible and Near Infrared Diffuse …

Data mining of urban soil spectral library for estimating organic carbon

Y Hong, Y Chen, S Chen, R Shen, B Hu, J Peng… - Geoderma, 2022 - Elsevier
Accurate quantification of urban soil organic carbon (SOC) is essential for understanding
anthropogenic changes and further guiding effective city managements. Visible and near …

The spectrum-based learner: A new local approach for modeling soil vis–NIR spectra of complex datasets

L Ramirez-Lopez, T Behrens, K Schmidt, A Stevens… - Geoderma, 2013 - Elsevier
This paper shows that memory-based learning (MBL) is a very promising approach to deal
with complex soil visible and near infrared (vis–NIR) datasets. The main goal of this work …

[HTML][HTML] Estimating Soil Organic Carbon using multitemporal PRISMA imaging spectroscopy data

KJ Ward, S Foerster, S Chabrillat - Geoderma, 2024 - Elsevier
Soils are the largest terrestrial carbon pool and a valuable good that provides important
ecosystem services. Since soils are threatened by degradation and in order to fight climate …

Do we really need large spectral libraries for local scale SOC assessment with NIR spectroscopy?

C Guerrero, J Wetterlind, B Stenberg… - Soil and Tillage …, 2016 - Elsevier
Near infrared (NIR) spectroscopy was used to predict the soil organic carbon (SOC) contents
at local scale in eleven target sites. For that, eight spectral libraries of different sizes (ranging …

National calibration of soil organic carbon concentration using diffuse infrared reflectance spectroscopy

M Clairotte, C Grinand, E Kouakoua, A Thébault… - Geoderma, 2016 - Elsevier
This study presents the potential of infrared diffuse reflectance spectroscopy (DRS) to predict
soil organic carbon (SOC) content. A large national soil library was used, including about …