02766naa a2200325 a 450000100080000000500110000800800410001910000230006024500910008326000090017452018110018365300130199465300160200765300120202365300190203565300170205465300170207170000170208870000230210570000160212870000230214470000220216770000170218970000170220670000190222370000220224270000250226470000140228977301370230311282032019-01-10       2018    bl uuuu     u00u1 u    #d1 aDEMATTÊ, J. A. M.  aThe Brazilian Soil Spectral Library (BSSL)ba general overview.h[electronic resource]  c2018  aThe Brazilian Soil Spectral Library (BSSL) began its collection in 1995 at the Department of Soil Science (ESALQ-USP). Currently, SSLB has gathered data from all the 26 States of Brazil, reaching more than 38,000 soil samples. This achievement was only possible to reach due to the collaboration (33instituitions) and 49 researchers. The objective of this manuscript is to present the system on the utilization and applications of this dataset. The spectral data range from visible to shortwave infrared (350 to 2.500 nm). The BSSL allow identify the main spectral behavior of Brazilian soils. With the development of BSSL, it is possible to: a) locate partners for joint research development; b) assess, via internet, whether a local, regional, or national estimative of your own spectra, based on calibrated models. In this context, we also can perform the prediction of soil color by using the reflectance data. In the present work, we determined how many spectral patterns are required to represent Brazilian soils. The preliminary results showed that 5 spectral curves can represent the spectral patterns of Brazilian soils. The BSSL can be informative regarding classification, soil surveys and quantification. It will be presented the utility of national spectra to predict soil attributes, such as organic matter (OM), sand, silt, clay, cation exchange capacity (CEC), and pH. The result of national estimation model for these attributes showed that the granulometry presented good performances (R2between 0.55 and 0.70) and slightly smaller for OM, CEC and pH. New contributions to the BSSL are still encouraged for a second round for 2019. We hope that this work reinvigorate our community's discussion towards the importance of sensors in agriculture, environment and extend the soil researches.  abig data  aenvironment  alibrary  aremote sensing  asoil mapping  asoil sensing1 aDOTTO, A. C.1 aSILVEIRA, A. F. D.1 aSATO, M. V.1 aDALMOLIN, R. S. D.1 aARAÚJO, M. S. B.1 aSILVA, E. B.1 aNANNI, M. R.1 aNORONHA, N. C.1 aLACERDA, M. P. C.1 aARAÚJO FILHO, J. C.1 aRIZZO, R.  tIn: WORLD CONGRESS OF SOIL SCIENCE, 21., 2018, Rio de Janeiro. Abstracts... Viçosa: Sociedade Brasileira de Ciência do Solo, 2018.