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José A.M. Demattê
José A.M. Demattê
Other namesJosé Alexandre Melo Demattê
Full Professor, University of São Paulo, Luiz de Queiroz
Verified email at usp.br - Homepage
Title
Cited by
Cited by
Year
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
7152016
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
6142009
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
4262015
Spectral reflectance methodology in comparison to traditional soil analysis
MR Nanni, JAM Demattê
Soil science society of America journal 70 (2), 393-407, 2006
4042006
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
2902004
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
2382015
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
2271999
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
1982018
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
1922008
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
1812013
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
1622010
Spectral pedology: a new perspective on evaluation of soils along pedogenetic alterations
JAM Demattê, F da Silva Terra
Geoderma 217, 190-200, 2014
1492014
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
1432014
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
1392014
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
1302014
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
1152006
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
1082019
Optimum size in grid soil sampling for variable rate application in site-specific management
MR Nanni, FP Povh, JAM Demattê, RB Oliveira, ML Chicati, E Cezar
Scientia Agricola 68, 386-392, 2011
1072011
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
1022020
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
1002018
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