| A global spectral library to characterize the world's soil RAV Rossel, T Behrens, E Ben-Dor, DJ Brown, JAM Demattê, ... Earth-Science Reviews 155, 198-230, 2016 | 813 | 2016 |
| Using imaging spectroscopy to study soil properties E Ben-Dor, S Chabrillat, JAM Demattê, GR Taylor, J Hill, ML Whiting, ... Remote sensing of environment 113, S38-S55, 2009 | 667 | 2009 |
| Soil spectroscopy: an alternative to wet chemistry for soil monitoring M Nocita, A Stevens, B van Wesemael, M Aitkenhead, M Bachmann, ... Advances in agronomy 132, 139-159, 2015 | 511 | 2015 |
| Spectral reflectance methodology in comparison to traditional soil analysis MR Nanni, JAM Demattê Soil science society of America journal 70 (2), 393-407, 2006 | 420 | 2006 |
| Visible–NIR reflectance: a new approach on soil evaluation JAM Demattê, RC Campos, MC Alves, PR Fiorio, MR Nanni Geoderma 121 (1-2), 95-112, 2004 | 302 | 2004 |
| Spectral libraries for quantitative analyses of tropical Brazilian soils: Comparing vis–NIR and mid-IR reflectance data FS Terra, JAM Demattê, RAV Rossel Geoderma 255, 81-93, 2015 | 262 | 2015 |
| Geospatial Soil Sensing System (GEOS3): A powerful data mining procedure to retrieve soil spectral reflectance from satellite images JAM Demattê, CT Fongaro, R Rizzo, JL Safanelli Remote Sensing of Environment 212, 161-175, 2018 | 247 | 2018 |
| Alteration of soil properties through a weathering sequence as evaluated by spectral reflectance JAM Demattê, GJ Garcia Soil Science Society of America Journal 63 (2), 327-342, 1999 | 234 | 1999 |
| The spectrum-based learner: A new local approach for modeling soil vis–NIR spectra of complex datasets L Ramirez-Lopez, T Behrens, K Schmidt, A Stevens, JAM Demattê, ... Geoderma 195, 268-279, 2013 | 213 | 2013 |
| Imaging spectrometry for soil applications E Ben‐Dor, RG Taylor, J Hill, JAM Demattê, ML Whiting, S Chabrillat, ... Advances in agronomy 97, 321-392, 2008 | 210 | 2008 |
| Soil spectral library and its use in soil classification H Bellinaso, JAM Demattê, SA Romeiro Revista Brasileira de Ciência do Solo 34, 861-870, 2010 | 177 | 2010 |
| Improving the prediction performance of a large tropical vis‐NIR spectroscopic soil library from B razil by clustering into smaller subsets or use of data mining calibration … SR Araújo, J Wetterlind, JAM Demattê, B Stenberg European Journal of Soil Science 65 (5), 718-729, 2014 | 160 | 2014 |
| Spectral pedology: a new perspective on evaluation of soils along pedogenetic alterations JAM Demattê, F da Silva Terra Geoderma 217, 190-200, 2014 | 160 | 2014 |
| Sampling optimal calibration sets in soil infrared spectroscopy L Ramirez-Lopez, K Schmidt, T Behrens, B Van Wesemael, JAM Demattê, ... Geoderma 226, 140-150, 2014 | 159 | 2014 |
| The influence of training sample size on the accuracy of deep learning models for the prediction of soil properties with near-infrared spectroscopy data W Ng, B Minasny, WS Mendes, JAM Demattê Soil 6 (2), 565-578, 2020 | 145 | 2020 |
| Soil classification using visible/near-infrared diffuse reflectance spectra from multiple depths GM Vasques, JAM Demattê, RAV Rossel, L Ramírez-López, FS Terra Geoderma 223, 73-78, 2014 | 140 | 2014 |
| The Brazilian soil spectral library (BSSL): A general view, application and challenges JAM Demattê, AC Dotto, AFS Paiva, MV Sato, RSD Dalmolin, ... Geoderma 354, 113793, 2019 | 133 | 2019 |
| Determining soil water status and other soil characteristics by spectral proximal sensing JAM Demattê, AA Sousa, MC Alves, MR Nanni, PR Fiorio, RC Campos Geoderma 135, 179-195, 2006 | 120 | 2006 |
| Towards prediction of soil erodibility, SOM and CaCO3 using laboratory Vis-NIR spectra: A case study in a semi-arid region of Iran Y Ostovari, S Ghorbani-Dashtaki, HA Bahrami, M Abbasi, JAM Dematte, ... Geoderma 314, 102-112, 2018 | 116 | 2018 |
| Stratification of a local VIS-NIR-SWIR spectral library by homogeneity criteria yields more accurate soil organic carbon predictions JM Moura-Bueno, RSD Dalmolin, A Ten Caten, AC Dotto, JAM Demattê Geoderma 337, 565-581, 2019 | 112 | 2019 |
