Soil Spectroscopy for Global Good - An Open Soil Spectroscopy library based on the Open Source Software
soilspec4gg@woodwellclimate.org

Newsletters

Newsletter Icons - Download Free Vector Icons | Noun ProjectNewsletter December 2020: https://tinyurl.com/1wx2o36t

Newsletter Icons - Download Free Vector Icons | Noun ProjectNewsletter February 2021: http://tinyurl.com/2v797qqw

Project publications and presentations

Pittaki-Chrysodonta, Z., Hartemink, A., Sanderman, J., Ge, Y., Huang, J. (2021). Evaluation three calibration transfer methods for predictions of soil properties using mid-infrared spectroscopy. Soil Science Society of America Journal.  10.1002/saj2.20225

Dangal, S.R.S., Sanderman, J. (2020). Is standardization necessary for sharing a large mid-infrared soil spectral library? Sensors, 20, 6729. 10.3390/s20236729

Sanderman, J., Todd-Brown, K.E., Hengl, T., Dangal, S.R.S., et al. (2020). Spectroscopy to fill the soil data gap. ASA-CSSA-SSSA International Annual Meeting. November 2020. https://scisoc.confex.com/scisoc/2020am/prelim.cgi.Paper.131585

Sanderman, J., 
Dangal, S.R.S., Todd-Brown, K.E., Hengl, T., et al. (2020). Filling the soil data gap. American Geophysical Union Fall Meeting. December 2020. http://agu.confex.com/agu/fm20/meetingapp.cgi/Paper/713137
 

 

Important literature

Viscarra Rossel, R.A., Behrens, T., Ben-Dor, E., Brown, D.J., et al. (2016). A global spectral library to characterize the world’s soil. Earth-Science Reviews, 155, 198–230. 10.1016/j.earscirev.2016.01.012

Ben-Dor, E., Ong, C., Lau, I.C. (2015). Reflectance measurements of soils in the laboratory: Standards and protocols. Geoderma, 245–246, 112–124. 10.1016/j.geoderma.2015.01.002

Nocita, M., Stevens, A., van Wesemael, B., Aitkenhead, M., et al. (2015). Soil spectroscopy: An alternative to wet chemistry for soil monitoring. Advances in Agronomy, 132, 139–159. 0.1016/bs.agron.2015.02.002

Baldock, J.A., Hawke, B., Sanderman, J., Macdonald, L.M. (2013). Predicting contents of carbon and its component fractions in Australian soils from diffuse reflectance mid-infrared spectra. Soil Research, 51, 577
–595. 10.1071/SR13077

Gholizadeh, A., Boruvka, L., Saberioon, M.M., Vasat, R. (2013). Visible, near-infrared and mid-infrared spectroscopy application for soil assessment with emphasis on soil organic matter content and quality: State-of-the-art and key issues. Applied Spectroscopy, 67, 1349–1362. 10.1366/13-07288

Toth, G., Jones, A., Montanarella, L. (2013). The LUCAS topsoil database and derived information on the regional variability of cropland topsoil properties in the European Union. Environmental Monitoring and Assessment, 185, 7409–7425.  10.1007/s10661-013-3109-3

Terhoeven-Urselmans, T., Vagen, T., Spaargaren, O., 
Shepherd, K.D. (2010). Prediction of soil fertility from a globally distributed soil mid-infrared spectral library. Soil Science Society of America Journal, 74, 1792–179910.2136/sssaj2009.0218

Viscarra Rossel, R.A., Behrens, T. (2010). Using data mining to model and interpret soil diffuse reflectance spectra. Geoderma, 158, 46–54. 10.1016/j.geoderma.2009.12.025

Shepherd, K.D., Walsh, M.D. (2002). Development of reflectance spectral libraries for characterization of soil properties. Soil Science Society of America Journal, 66, 988–998. 10.2136/sssaj2002.9880

Ben-Dor, E., Banin, A. (1995). Near-infrared analysis as a rapid method to simultaneously evaluate several soil properties. Soil Science Society of America Journal, 59, 364
–372. 10.2136/sssaj1995.03615995005900020014x