- Spectral data fusion for quantitative assessment of soils from Brazil, Dr. Fabrício da Silva Terra, Dr. José Alexandre Melo Demattê, Dr. Raphael Viscarra Rossel
- Analysis of Soil in the Field using portable FTIR - A H Jean Robertson, H Rachael Hill, Angela M Main - James Hutton Institute
- Prediction of soil properties with NIR data and site descriptors using preprocessing and neural networks - Matt Aitkenhead, Malcolm Coull
Jean Robertson, James Hutton Institute - Common Chemometric Indicators for Prediction of Soil Organic Matter Content and Quality from Soil Spectra: A Review and Research Perspectives - Asa Gholizadeh, Luboš Borůvka, M.MehdiSaberioon - Faculty of Agrobilogy, Food and Natural Resources, Czech University of Life Sciences Prague
- Measurement of biochar properties, including aromatic carbon, and monitoring the concentration of charred material in soil using NIR spectroscopy - Bambang H. Kusumo
- Optimization of VNIRS for field determination oftopsoil chemical properties
Jean-Philippe Gras, Bernard G.Barthès,Brigitte Mahaut, Séverine Trupin - Arvalis, Eco&Sols - The use of spectral libraries to reduce the influence of soil moisture on the estimation of soil properties from satellite imaging spectroscopy
Castaldi F., Casa R., Palombo A., Pascucci S., Pignatti S - Do we really need large spectral libraries for the assessment of soil organic carbon at local scale? César Guerrero, Johanna Wetterlind, Bo Stenberg, Fernando T. Maestre, Raphael A. ViscarraRossel, Abdul M. Mouazen, BoyanKuang, RaúlZornoza, J.D. Ruiz-Sinoga
- Soil Infrared Spectroscopy - Applications in Africa International Workshop, Keith D Shepherd - World Agroforestry Center
- Soil Spectroscopyto monitor the state of soil resources in the present and in the future - José Alexandre M. Demattê, University of São Paulo, Brazil
- Problems, current state, the future perspectives, José Alexandre M. Dematté, University of Sao Paulo, Brazil
- The use of a hand-held mid-infrared spectrometer for the rapid prediction of total petroleum hydrocarbons in soil Water for a Healthy Country Flagship, Les J. Janik, José M. Soriano-Disla, Sean T. Forrester, Michael J. McLaughlin, Grant Webster, Richard Stewart
- NIR Reflectance Spectroscopy in Soil Surveys oriented Toward Monitoring in Mexico 2016 - Jorge EtcheversBarra (COLPOS) Carlos Cruz Gaistardo (INEGI) Fernando Paz Pellat (PMC)
- Memory based learning methods and tools: towards efficient modelling, predicting and managing tasks in large scale soil spectral libraries - Leonardo Ramirez-Lopez, Antoine Stevens - Swiss Federal Institute of Technology, Zürich (ETHz), Switzerland, Swiss Federal Institute for Forest, Snow and Landscape Research (WSL), Switzerland, Universite Catholique de Louvain, Belgium
- Can small NIR calibrations at the farm scale be an alternative to large calibrations for farm soil mapping of soil type? Bo Stenberg and Johanna Wetterlind Swedish University of Agricultural Sciences Rikard Westbom and Daniel Olsson Eurofins Food & Agro Testing Sweden AB
- Analysis of large scale soil spectral libraries, Antoine Stevens, Marco Nocita, Bas van Wesemael, Georges Lemaître Centre for Earth and Climate Research, Earth and Life Institute, UC Louvain, Louvain-la-Neuve, Belgium - SOIL Action ,Land Resource Management Unit, Institute for Environment and Sustainability, Joint Research Centre of the European Commission
- Soil spectroscopy as a tool for the spatial assessment of soil erosion states in agricultural semi-arid Spain, Sabine Chabrillat, Thomas Schmid, Robert Milewski, Manuel Rodriguez, Paula Escribano, Marta Pelayo, Alicia Palacios-Orueta, GFZ German Research Center for Geosciences, Potsdam, - CIEMAT, Madrid, Spain - CSIC, Madrid, Spain University Polytechnic Madrid, Spain
- Development of remote sensing methods for assessing and mapping soil pollution with heavy metals - Asmaryan Sh. G., Muradyan V. S.Sahakyan L.V. Saghatelyan A. K., The Center for Ecological-Noosphere Studies of the National Academy of Sciences of the Republic of Armenia
- Nonlinear data mining techniques or clustering to improve predictions of a large Brazilian vis-NIR library - Johanna Wetterlind, Bo Stenberg, Suzana Romero Aarújo, José Alexandre Demattê Swedish University of Agricultural Sciences
