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Mapping productivity and essential biophysical parameters of cultivated tropical grasslands from sentinel-2 imagery. Author(s): CISNEROS, A.; FIORIO, P. R.; SANTOS, P. M.; PASQUALOTTO, N.; WITTENBERGHE, S. van; SILVA, G. B. S. da; NOGUEIRA, S. F. Abstract: Nitrogen (N) is the main nutrient element that maintains productivity in forages; it is inextricably linked to dry matter increase and plant support capacity. In recent years, high spectral... ... Repository: BDPA Publication year: 2020
Mapping agricultural intensification in the Brazilian savanna: a machine learning approach using harmonized data from Landsat Sentinel-2. Author(s): BOLFE, E. L.; PARREIRAS, T. C.; SILVA, L. A. P. da; SANO, E. E.; BETTIOL, G. M.; VICTORIA, D. de C.; DEL'ARCO SANCHES, I.; VICENTE, L. E. Agricultural intensification practices have been adopted in the Brazilian savanna (Cerrado), mainly in the transition between Cerrado and the Amazon Forest, to increase productivity while reducing pre... ... Repository: BDPA Publication year: 2023
Multitemporal segmentation of Sentinel-2 images in an agricultural intensification region in Brazil. Author(s): SANTOS, L. T. dos; WERNER, J. P. S.; REIS, A. A. dos; TORO, A. P. G.; ANTUNES, J. F. G.; COUTINHO, A. C.; LAMPARELLI, R. A. C.; MAGALHÃES, P. S. G.; ESQUERDO, J. C. D. M.; FIGUEIREDO, G. K. D. A. ABSTRACT: With the recent evolution in the sensor's spatial resolution, such as the MultiSpectral Imager (MSI) of the Sentinel-2 mission, the need to use segmentation techniques in satellite images ha... ... Repository: BDPA Publication year: 2022
Imputation of missing parts in UAV orthomosaics using PlanetScope and Sentinel-2 data: a case study in a grass-dominated área. Author(s): 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
Mapping integrated crop–livestock systems using fused Sentinel-2 and PlanetScope time series and deep learning. Author(s): 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
Optimum combination of spectral variables for crop mapping in heterogeneous landscapes based on Sentinel-2 time series and machine learning. Author(s): OLIVEIRA JÚNIOR, J. G. de; ESQUERDO, J. C. D. M.; LAMPARELLI, R. A. C. This article aimed to determine a workflow for more efficient large-scale crop mapping using a time series of images from the Sentinel-2 Satellite, statistical methods of attribute selection, and mach... ... Repository: BDPA Publication year: 2024
Evaluation of early season mapping of integrated crop livestock systems using Sentinel-2 data. Author(s): TORO, A. P. S. G. D.; WERNER, J. P. S.; REIS, A. A. dos; ESQUERDO, J. C. D. M.; ANTUNES, J. F. G.; COUTINHO, A. C.; LAMPARELLI, R. A. C.; MAGALHÃES, P. S. G.; FIGUEIREDO, G. K. D. A. ABSTRACT. Various approaches were developed considering the need to increase agricultural productivity in cultivated areas without more deforestation, such as the Integrated Crop livestock systems (IC... ... Repository: BDPA Publication year: 2022
Improved modeling of gross primary production and transpiration of sugarcane plantations with time-series Landsat and Sentinel-2 images. Author(s): CELIS, J.; XIAO, X.; WHITE, P. M.; CABRAL, O. M. R.; FREITAS, H. C. Abstract: Sugarcane croplands account for ~70% of global sugar production and ~60% of global ethanol production. Monitoring and predicting gross primary production (GPP) and transpiration (T) in these... ... Repository: BDPA Publication year: 2023
New vegetation index for monitoring coffee rust using sentinel-2 multispectral imagery. Author(s): CASTRO, G. D. M. de; VILELA, E. F.; FARIA, A. L. R. de; SILVA, R. A.; FERREIRA, W. P. M. Coffee Rust (Hemileia vastatrix) is considered the primary coffee disease in the world. The pathogenic fungus can find favorable environmental conditions in different countries, constantly threatening... ... Repository: BDPA Publication year: 2023
New spectral index and machine learning models for detecting coffee leaf miner infestation using sentinel-2 multispectral imagery. Author(s): VILELA, E. F.; FERREIRA, W. P. M.; CASTRO, G. D. M. de; FARIA, A. L. R. de; LEITE, D. H.; LIMA, I. A.; MATOS, C. de S. M. de; SILVA, R. A.; VENZON, M. The coffee leaf miner (Leucoptera coffeella) is a key coffee pest in Brazil that can cause severe defoliation and a negative impact on the productivity. Thus, it is essential to identify initial pest... ... Repository: BDPA Publication year: 2023

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