02461naa a2200409 a 450000100080000000500110000800800410001902400440006010000190010424501450012326000090026852012510027765000150152865000260154365000260156965000290159565000190162465000160164365000150165965000210167465000130169565000140170865000250172265000170174765000180176465300240178265300230180670000230182970000140185270000210186670000210188770000170190870000190192570000270194470000170197177300630198821145922019-11-19       2018    bl uuuu     u00u1 u    #d7 ahttps://doi.org/10.3390/rs101015552DOI1 aFONGARO, C. T.  aImprovement of clay and sand quantification based on a novel approach with a focus on multispectral satellite images.h[electronic resource]  c2018  aAbstract: Soil mapping demands large-scale surveys that are costly and time consuming. It is necessary to identify strategies with reduced costs to obtain detailed information for soil mapping. We aimed to compare multispectral satellite image and relief parameters for the quantification and mapping of clay and sand contents. The Temporal Synthetic Spectral (TESS) reflectance and Synthetic Soil Image (SYSI) approaches were used to identify and characterize texture spectral signatures at the image level. Soil samples were collected (0?20 cm depth, 919 points) from an area of 14,614 km 2 in Brazil for reference and model calibration. We compared different prediction approaches: (a) TESS and SYSI; (b) Relief-Derived Covariates (RDC); and (c) SYSI plus RDC. The TESS method produced highly similar behavior to the laboratory convolved data. The sandy textural class showed a greater increase in average spectral reflectance from Band 1 to 7 compared with the clayey class. The prediction using SYSI produced a better result for clay (R 2 = 0.83; RMSE = 65.0 g kg − 1 ) and sand (R 2 = 0.86; RMSE = 79.9 g kg − 1 ). Multispectral satellite images were more stable for the identification of soil properties than relief parameters.  aClay soils  aMultispectral imagery  aPrecision agriculture  aReflectance spectroscopy  aRemote sensing  aSandy soils  aSatellites  aSoil degradation  aSoil map  aSatélite  aSensoriamento Remoto  aSolo Arenoso  aSolo Argiloso  aImagem de satélite  aMapeamento do solo1 aDEMATTÊ, J. A. M.1 aRIZZO, R.1 aSAFANELLI, J. L.1 aMENDES, W. de S.1 aDOTTO, A. C.1 aVICENTE, L. E.1 aFRANCESCHINI, M. H. D.1 aUSTIN, S. L.  tRemote Sensinggv. 10, n. 10, p. 1-21, 2018. Article 1555.