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Fractal-based analysis to identify trend changes in multiple climate time series. Author(s): ROMANI, L. A. S. Abstract. In the last few decades, huge amounts of climate data have been gathered and stored by several institutions. The analysis of these data has become an important task due to worldwide climate... ... Repository: BDPA Publication year: 2011
MODIS Time Series to Detect Anthropogenic Interventions and Degradation Processes in Tropical Pasture. Author(s): NOGUEIRA, S. F. The unavoidable diet change in emerging countries, projected for the coming years, will significantly increase the global consumption of animal protein. It is expected that Brazilian livestock product... ... Repository: BDPA Publication year: 2017
Analysis of grassland degradation in Zona da Mata, MG, Brazil, based on NDVI time series data with the integration of phenological metrics. Author(s): HOTT, M. C.; RESENDE, J. C. de; ROCHA, W. S. D. da There is currently a lot of interest in determining the state of Brazilian grasslands. Governmental actions and programs have recently been implemented for grassland recovery in Brazilian states, with... ... Repository: BDPA Publication year: 2019
Comparison of a time series analysis of bulk tank somatic cell counts of dairy herds located in Brazil and the United States. Author(s): SILVA, M. R.; MENDONCA, L. C.; SOUZA, G. N. de Abstract: Bulk tank somatic cell counts (BTSCC) is widely used to monitoring the mammary gland health at the herd and regional level. A time series of BTSCC from specific regions or countries can be u... ... Repository: BDPA Publication year: 2017
A time series analysis of bulk tank somatic cell counts of dairy herds located in Brazil and the United States. Author(s): SILVA, M. R.; MENDONCA, L. C.; SOUZA, G. N. de ABSTRACT - Bulk tank somatic cell counts (BTSCC) is widely used to monitore the mammary gland health at the herd and regional level. The BTSCC time series from specific regions or countries can be use... ... Repository: BDPA Publication year: 2017
Integrating time series mining and fractals to discover patterns and extreme events in climate and remote sensing databases. Author(s): ROMANI, L. A. S. This thesis presents new methods based on fractal theory and data mining techniques to support agricultural monitoring in regional scale, specifically regions with sugar cane fields. This commodity gr... ... Repository: BDPA Publication year: 2010
Soy production area estimates in Mato Grosso, Brazil, using MODIS NDVI time series. Author(s): VICTORIA, D. de C.; COUTINHO, A. C.; PAZ, A. R. da Brazil is the second largest soy producer in the world, with an estimated crop of 57 million tons in 2008/2009 season (CONAB). Total planted area accounted for 21.7 million ha, 26% of which is located... ... Repository: BDPA Publication year: 2010
Optimum combination of spectral variables for crop mapping in heterogeneous landscapes based on Sentinel-2 time series and machine learning. Author(s): ESQUERDO, J. C. D. M. 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
Monitoring the temporal dynamics of four vegetation cover types from the Pantanal using the wavelet transform applied to a time-series of EVI/MODIS data. Author(s): ANTUNES, J. F. G.; ESQUERDO, J. C. D. M. Although one of the most preserved ecosystems in Brazil, the Pantanal suffers under problems such as fire, deforestation and changes in the flood and drought cycles. Monitoring all the extension of th... ... Repository: BDPA Publication year: 2011
Mapping of summer agricultural crops in the Alto Paraguai basin through EVI/MODIS time series. Author(s): ANTUNES, J. F. G.; ESQUERDO, J. C. D. M. The main land use and land cover (LULC) changes that a given area passes over the time can be evaluated by using spatial-temporal analysis of satellites images. Then, it is possible to identify the LU... ... Repository: BDPA Publication year: 2017

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