Predicting soil physical and chemical properties using vis-NIR in Australian cotton areas

Prediction of soil texture classes through different wavelength regions of reflectance spectroscopy at various soil depths

(2020) João Augusto Coblinski et al.   CATENA

Mapping cation exchange capacity using a quasi-3d joint inversion of EM38 and EM31 data

(2020) Dongxue Zhao et al.   SOIL & TILLAGE RESEARCH

Evaluation of Machine Learning Approaches to Predict Soil Organic Matter and pH Using vis-NIR Spectra

(2019) Meihua Yang et al.   SENSORS

Data fusion of vis-NIR and PXRF spectra to predict soil physical and chemical properties

(2019) Yakun Zhang et al.   EUROPEAN JOURNAL OF SOIL SCIENCE

Near infrared diffuse reflectance spectroscopy for rapid and comprehensive soil condition assessment in smallholder cacao farming systems of Papua New Guinea

(2019) Kanika Singh et al.   CATENA

Comparison of multivariate methods for estimating selected soil properties from intact soil cores of paddy fields by Vis–NIR spectroscopy

(2018) Shengxiang Xu et al.   GEODERMA

Multi-sensor fusion for the determination of several soil properties in the Yangtze River Delta, China

(2018) D. Xu et al.   EUROPEAN JOURNAL OF SOIL SCIENCE

Predictive ability of soil properties to spectral degradation from laboratory Vis-NIR spectroscopy data

(2017) K.R.M. Adeline et al.   GEODERMA

Estimation of soil organic carbon and total nitrogen in different soil layers using VNIR spectroscopy: Effects of spiking on model applicability

(2017) Qinghu Jiang et al.   GEODERMA

Two preprocessing techniques to reduce model covariables in soil property predictions by Vis-NIR spectroscopy

(2017) Andre Carnieletto Dotto et al.   SOIL & TILLAGE RESEARCH

A global spectral library to characterize the world's soil

(2016) R.A. Viscarra Rossel et al.   EARTH-SCIENCE REVIEWS

Reply to “Comment on “Potential of integrated field spectroscopy and spatial analysis for enhanced assessment of soil contamination: A prospective review” by Horta et al”

(2016) A. Horta et al.   GEODERMA

A comparison of partial least squares (PLS) and sparse PLS regressions for predicting yield of Swiss chard grown under different irrigation water sources using hyperspectral data

(2014) Elfatih M. Abdel-Rahman et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Predicting soil properties from the Australian soil visible-near infrared spectroscopic database

(2012) R. A. Viscarra Rossel et al.   EUROPEAN JOURNAL OF SOIL SCIENCE

Optimization criteria in sample selection step of local regression for quantitative analysis of large soil NIRS database

(2011) F. Gogé et al.   CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS

Machine learning regression algorithms for biophysical parameter retrieval: Opportunities for Sentinel-2 and -3

(2011) Jochem Verrelst et al.   REMOTE SENSING OF ENVIRONMENT

Near-infrared spectroscopy for within-field soil characterization: small local calibrations compared with national libraries spiked with local samples

(2010) J. Wetterlind et al.   EUROPEAN JOURNAL OF SOIL SCIENCE

Near infrared spectroscopy for determination of various physical, chemical and biochemical properties in Mediterranean soils

(2008) R. Zornoza et al.   SOIL BIOLOGY & BIOCHEMISTRY