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Estimation of soil organic carbon in arable soil in Belgium and Luxembourg with the LUCAS topsoil database : Estimation of SOC with the LUCAS topsoil database

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  1. Araújo S. R., Wetterlind J., Demattê J. A. M., Stenberg B., Improving the prediction performance of a large tropical vis-NIR spectroscopic soil library from Brazil by clustering into smaller subsets or use of data mining calibration techniques, 10.1111/ejss.12165
  2. Ben-Dor E, The reflectance spectra of organic matter in the visible near-infrared and short wave infrared region (400–2500 nm) during a controlled decomposition process, 10.1016/s0034-4257(96)00120-4
  3. Casa R., Castaldi F., Pascucci S., Palombo A., Pignatti S., A comparison of sensor resolution and calibration strategies for soil texture estimation from hyperspectral remote sensing, 10.1016/j.geoderma.2012.12.016
  4. Castaldi Fabio, Palombo Angelo, Pascucci Simone, Pignatti Stefano, Santini Federico, Casa Raffaele, Reducing the Influence of Soil Moisture on the Estimation of Clay from Hyperspectral Data: A Case Study Using Simulated PRISMA Data, 10.3390/rs71115561
  5. Castaldi Fabio, Palombo Angelo, Santini Federico, Pascucci Simone, Pignatti Stefano, Casa Raffaele, Evaluation of the potential of the current and forthcoming multispectral and hyperspectral imagers to estimate soil texture and organic carbon, 10.1016/j.rse.2016.03.025
  6. Chabrillat Sabine, Goetz Alexander F.H, Krosley Lisa, Olsen Harold W, Use of hyperspectral images in the identification and mapping of expansive clay soils and the role of spatial resolution, 10.1016/s0034-4257(02)00060-3
  7. Clairotte Michaël, Grinand Clovis, Kouakoua Ernest, Thébault Aurélie, Saby Nicolas P.A., Bernoux Martial, Barthès Bernard G., National calibration of soil organic carbon concentration using diffuse infrared reflectance spectroscopy, 10.1016/j.geoderma.2016.04.021
  8. Clark, Manual of Remote Sensing, Volume 3, Remote Sensing for the Earth Sciences, 3 (1999)
  9. Rosiles Vanessa Hernández, Salazar Carolina Duarte, Velazquez Rocío Maldonado, Ruiz Rodolfo Rivas, Clark Patricia, Determinación de concentraciones séricas de 25(OH) D en niños con lupus eritematoso sistémico y artritis idiopática juvenil, 10.1016/j.bmhimx.2015.05.002
  10. Fearn Tom, Standardisation and Calibration Transfer for near Infrared Instruments: A Review, 10.1255/jnirs.309
  11. Genot Valérie, Colinet Gilles, Bock Laurent, Vanvyve Dominique, Reusen Yorick, Dardenne Pierre, Near Infrared Reflectance Spectroscopy for Estimating Soil Characteristics Valuable in the Diagnosis of Soil Fertility, 10.1255/jnirs.923
  12. Gogé F., Joffre R., Jolivet C., Ross I., Ranjard L., Optimization criteria in sample selection step of local regression for quantitative analysis of large soil NIRS database, 10.1016/j.chemolab.2011.11.003
  13. Goidts Esther, van Wesemael Bas, Regional assessment of soil organic carbon changes under agriculture in Southern Belgium (1955–2005), 10.1016/j.geoderma.2007.06.013
  14. Guerrero César, Zornoza Raul, Gómez Ignacio, Mataix-Beneyto Jorge, Spiking of NIR regional models using samples from target sites: Effect of model size on prediction accuracy, 10.1016/j.geoderma.2009.12.021
  15. Guerrero César, Wetterlind Johanna, Stenberg Bo, Mouazen Abdul M., Gabarrón-Galeote Miguel A., Ruiz-Sinoga José D., Zornoza Raul, Viscarra Rossel Raphael A., Do we really need large spectral libraries for local scale SOC assessment with NIR spectroscopy?, 10.1016/j.still.2015.07.008
  16. Hartigan J. A., Wong M. A., Algorithm AS 136: A K-Means Clustering Algorithm, 10.2307/2346830
  17. IUSS Working Group WRB, World Reference Base for Soil Resources 2006 (2006)
  18. Knadel M, Deng F, Thomsen A, Greve M, Development of a Danish national Vis-NIR soil spectral library for soil organic carbon determination, Digital Soil Assessments and Beyond (2012) ISBN:9780415621557 p.403-408, 10.1201/b12728-79
  19. Kopačková Veronika, Ben-Dor Eyal, Normalizing reflectance from different spectrometers and protocols with an internal soil standard, 10.1080/01431161.2016.1148291
  20. Minasny Budiman, Malone Brendan P., McBratney Alex B., Angers Denis A., Arrouays Dominique, Chambers Adam, Chaplot Vincent, Chen Zueng-Sang, Cheng Kun, Das Bhabani S., Field Damien J., Gimona Alessandro, Hedley Carolyn B., Hong Suk Young, Mandal Biswapati, Marchant Ben P., Martin Manuel, McConkey Brian G., Mulder Vera Leatitia, O'Rourke Sharon, Richer-de-Forges Anne C., Odeh Inakwu, Padarian José, Paustian Keith, Pan Genxing, Poggio Laura, Savin Igor, Stolbovoy Vladimir, Stockmann Uta, Sulaeman Yiyi, Tsui Chun-Chih, Vågen Tor-Gunnar, van Wesemael Bas, Winowiecki Leigh, Soil carbon 4 per mille, 10.1016/j.geoderma.2017.01.002
  21. Nocita Marco, Stevens Antoine, Toth Gergely, Panagos Panos, van Wesemael Bas, Montanarella Luca, Prediction of soil organic carbon content by diffuse reflectance spectroscopy using a local partial least square regression approach, 10.1016/j.soilbio.2013.10.022
  22. Panagos Panos, Ballabio Cristiano, Yigini Yusuf, Dunbar Martha B., Estimating the soil organic carbon content for European NUTS2 regions based on LUCAS data collection, 10.1016/j.scitotenv.2012.10.017
  23. Paustian Keith, Lehmann Johannes, Ogle Stephen, Reay David, Robertson G. Philip, Smith Pete, Climate-smart soils, 10.1038/nature17174
  24. Peng Yi, Knadel Maria, Gislum René, Deng Fan, Norgaard Trine, de Jonge Lis Wollesen, Moldrup Per, Greve Mogens Humlekrog, Predicting Soil Organic Carbon at Field Scale Using a National Soil Spectral Library, 10.1255/jnirs.1053
  25. R Core Team, R: A Language and Environment for Statistical Computing (2014)
  26. Sanchez P. A., Ahamed S., Carre F., Hartemink A. E., Hempel J., Huising J., Lagacherie P., McBratney A. B., McKenzie N. J., Mendonca-Santos M. d. L., Minasny B., Montanarella L., Okoth P., Palm C. A., Sachs J. D., Shepherd K. D., Vagen T.-G., Vanlauwe B., Walsh M. G., Winowiecki L. A., Zhang G.-L., Digital Soil Map of the World, 10.1126/science.1175084
  27. Shenk John S., Westerhaus Mark O., New Standardization and Calibration Procedures for Nirs Analytical Systems, 10.2135/cropsci1991.0011183x003100060064x
  28. Shenk J. S., Westerhaus M. O., Population Definition, Sample Selection, and Calibration Procedures for Near Infrared Reflectance Spectroscopy, 10.2135/cropsci1991.0011183x003100020049x
  29. Shi Zhou, Wang QianLong, Peng Jie, Ji WenJun, Liu HuanJun, Li Xi, Viscarra Rossel Raphael A., Development of a national VNIR soil-spectral library for soil classification and prediction of organic matter concentrations, 10.1007/s11430-013-4808-x
  30. Snee Ronald D., Validation of Regression Models: Methods and Examples, 10.1080/00401706.1977.10489581
  31. Stevens Edward B., Buchannan Brett, Ferrari Joseph R., Jason Leonard A., Ram Daphna, AN INVESTIGATION OF HOPE AND CONTEXT : Hope and Context in Recovery Homes, 10.1002/jcop.21663
  32. Stevens Antoine, Nocita Marco, Tóth Gergely, Montanarella Luca, van Wesemael Bas, Prediction of Soil Organic Carbon at the European Scale by Visible and Near InfraRed Reflectance Spectroscopy, 10.1371/journal.pone.0066409
  33. Tibshirani Robert, Walther Guenther, Hastie Trevor, Estimating the number of clusters in a data set via the gap statistic, 10.1111/1467-9868.00293
  34. Tóth Gergely, Jones Arwyn, Montanarella Luca, The LUCAS topsoil database and derived information on the regional variability of cropland topsoil properties in the European Union, 10.1007/s10661-013-3109-3
  35. Tukey J., Some thoughts on clinical trials, especially problems of multiplicity, 10.1126/science.333584
  36. Rossel R.A. Viscarra, Behrens T., Using data mining to model and interpret soil diffuse reflectance spectra, 10.1016/j.geoderma.2009.12.025
  37. Viscarra Rossel R.A., Behrens T., Ben-Dor E., Brown D.J., Demattê J.A.M., Shepherd K.D., Shi Z., Stenberg B., Stevens A., Adamchuk V., Aïchi H., Barthès B.G., Bartholomeus H.M., Bayer A.D., Bernoux M., Böttcher K., Brodský L., Du C.W., Chappell A., Fouad Y., Genot V., Gomez C., Grunwald S., Gubler A., Guerrero C., Hedley C.B., Knadel M., Morrás H.J.M., Nocita M., Ramirez-Lopez L., Roudier P., Campos E.M. Rufasto, Sanborn P., Sellitto V.M., Sudduth K.A., Rawlins B.G., Walter C., Winowiecki L.A., Hong S.Y., Ji W., A global spectral library to characterize the world's soil, 10.1016/j.earscirev.2016.01.012
  38. Wetterlind J., Stenberg B., Near-infrared spectroscopy for within-field soil characterization: small local calibrations compared with national libraries spiked with local samples, 10.1111/j.1365-2389.2010.01283.x
  39. Wijewardane Nuwan K., Ge Yufeng, Wills Skye, Loecke Terry, Prediction of Soil Carbon in the Conterminous United States: Visible and Near Infrared Reflectance Spectroscopy Analysis of the Rapid Carbon Assessment Project, 10.2136/sssaj2016.02.0052
  40. Wold Svante, Sjöström Michael, Eriksson Lennart, PLS-regression: a basic tool of chemometrics, 10.1016/s0169-7439(01)00155-1
Bibliographic reference Castaldi, Fabio ; Chabrillat, S. ; Chartin, Caroline ; Genot, V. ; Jones, A. R. ; et. al. Estimation of soil organic carbon in arable soil in Belgium and Luxembourg with the LUCAS topsoil database : Estimation of SOC with the LUCAS topsoil database. In: European Journal of Soil Science, Vol. 69, no.4, p. 592-603 (2018)
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