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 Authorship: WERNER, J. P. S.; BELGIU, M.; BUENO, I. T.; REIS, A. A. dos; TORO, A. P. S. G. D.; ANTUNES, J. F. G.; STEIN, A.; LAMPARELLI, R. A. C.; MAGALHÃES, P. S. G.; COUTINHO, A. C.; ESQUERDO, J. C. D. M.; FIGUEIREDO, G. K. D. A. The main objective of this research was to develop a method for mapping ICLS using deep learning algorithms applied on Satellite Image Time Series (SITS) data cubes, which consist of Sentinel-2 (S2) a... ... |
 Authorship: ARRAES, C. L.; LAMPARELLI, R. A. C.; ROCHA, J. V.; ESQUERDO, J. C. D. M.; SALVADOR, P.; RODRÍGUES, J.; ROQUE, J.-L. C.; JUSTO, J. S.; BENATTI, B. G. Remote Sensing techniques are useful to determine planted areas, especially of commodities like maize and soybeans (summer cultures). The vegetation indexes as NDVI (Normalized Difference Vegetation I... ... |
 Authorship: LAMPARELLI, R. A. C.; JOHANN, J. A.; SANTOS, É. R. dos; ESQUERDO, J. C. D. M.; ROCHA, J. V. This study aimed at identifying different conditions of coffee plants after harvesting period, using data mining and spectral behavior profiles from Hyperion/EO1 sensor. The Hyperion image, with spati... ... |
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