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Author(s): SANTOS, W. J. R. dos; ALVES, H. M. R.; VIEIRA, T. G. C.; VOLPATO, M. M. L. This work evaluates the influence of slope in the classification of remotely sensed images used to map coffee lands of the region of Três Pontas in the state of Minas Gerais in Brazil. A Landsat image... ... |
Author(s): CHAGAS, C. da S.; VIEIRA, C. A. O.; FERNANDES-FILHO, E. I. Soil surveys are the main source of spatial information on soils and have a range of different applications, mainly in agriculture. The continuity of this activity has however been severely compromise... ... |
Author(s): ANDRADE, P. C.; GROSSI, D. A.; PAZ, C. C. P.; ALENCAR, M. M. de; REGITANO, L. C. de A.; MUNARI, D. P. A population of 1398 Canchim (CA) cattle was genotyped to asses the association of na insulin-like growth factor 1 (IGF1) gene microsatellite with phenotypic variation and estimated breeding values of... ... |
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Author(s): LU, D.; BATISTELLA, M.; LI, G.; MORAN, E.; HETRICK, S.; FREITAS, C. DA C.; SANT'ANNA, S. J. Land use/cover classification is one of the most important applications in remote sensing. However, mapping accurate land use/cover spatial distribution is a challenge, particularly in moist tropical... ... |
Author(s): MORAS FILHO, L. O.; FIGUEIREDO, E. O.; ISAAC JÚNIOR, M. A.; BARROS, V. C. C. de; HOTT, M. C.; BORGES, L. A. C. Among a variety of digital classification methods based on remote sensing images, the Maximum Likelihood (ML) is widely used in environmental studies, mainly for land cover and vegetation analysis. Th... ... |
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