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Mapping integrated crop–livestock systems using fused Sentinel-2 and PlanetScope time series and deep learning. 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... ... Repository: BDPA Publication year: 2024
Imputation of missing parts in UAV orthomosaics using PlanetScope and Sentinel-2 data: a case study in a grass-dominated área. Authorship: PEREIRA, F. R. da S.; REIS, A. A. dos; FREITAS, R. G.; OLIVEIRA, S. R. de M.; AMARAL, L. R. do; FIGUEIREDO, G. K. D. A.; ANTUNES, J. F. G.; LAMPARELLI, R. A. C.; MORO, E.; MAGALHÃES, P. S. G. In this study, we propose a methodological framework to impute missing parts of UAV orthomosaics using PlanetScope (PS) and Sentinel-2 (S2) data and the random forest (RF) algorithm of an integrated c... ... Repository: BDPA Publication year: 2023
Monitoring pasture aboveground biomass and canopy height in an integrated crop-livestock system using textural information from PlanetScope imagery. Authorship: REIS, A. A. dos; WERNER, J. P. S.; SILVA, B. C.; FIGUEIREDO, G. K. D. A.; ANTUNES, J. F. G.; ESQUERDO, J. C. D. M.; COUTINHO, A. C.; LAMPARELLI, R. A. C.; ROCHA, J. V.; MAGALHÃES, P. S. G. Abstract: Fast and accurate quantification of the available pasture biomass is essential to support grazing management decisions in intensively managed fields. The increasing temporal and spatial reso... ... Repository: BDPA Publication year: 2020
Reliability of summer crop masks derived from second order polynomial equations. 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... ... Repository: BDPA Publication year: 2013
Use of data mining and spectral profiles to differentiate condition after harvest of coffee plants. 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... ... Repository: BDPA Publication year: 2012

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