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authorId(s): 144894716
Author(s): J. Demattê
scorecitationCountPaperAuthorsyearMore like thisCompare & ContrastProNE-sSciNCLSpecterGNN
599
A global spectral library to characterize the world’s soil
R. V. Rossel, T. Behrens, ..., W. Ji
2016
496
Using Imaging Spectroscopy to study soil properties
E. Ben-Dor, S. Chabrillat, ..., S. Sommer
2009
297
Spectral Reflectance Methodology in Comparison to Traditional Soil Analysis
M. Nanni, J. Demattê
2006
217
Visible–NIR reflectance: a new approach on soil evaluation
J. Demattê, R. C. Campos, ..., M. Nanni
2004
169
Spectral libraries for quantitative analyses of tropical Brazilian soils: Comparing vis–NIR and mid-IR reflectance data
F. S. Terra, J. Demattê, R. V. Rossel
2015
169
The spectrum-based learner: A new local approach for modeling soil vis–NIR spectra of complex datasets
L. Ramirez-Lopez, Thosten Behrens, ..., T. Scholten
2013
163
Geospatial Soil Sensing System (GEOS3): A powerful data mining procedure to retrieve soil spectral reflectance from satellite images
J. Demattê, Caio T. Fongaro, ..., J. L. Safanelli
2018
152
Imaging Spectrometry for Soil Applications
E. Ben-Dor, R. G. Taylor, ..., S. Sommer
2008
145
Alteration of Soil Properties through a Weathering Sequence as Evaluated by Spectral Reflectance
J. Demattê, G. Garcia
1999
131
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
Suzana Romeiro Araújo, J. Wetterlind, ..., Bo Stenberg
2014

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