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Hierarchical classification of soybean in the Brazilian Savanna based on Harmonized Landsat Sentinel data. Abstract. The Brazilian Savanna presents a complex agricultural dynamic and cloud cover issues; therefore, there is a need for new strategies for more detailed agricultural monitoring. Using a hierarc... ... Repository: BDPA Publication year: 2022
Exploring the Harmonized Landsat Sentinel (HLS) datacube to map an agricultural landscape in the Brazilian savanna. Author(s): BOLFE, E. L.; SANO, E. E.; VICTORIA, D. de C.; VICENTE, L. E. ABSTRACT: Brazil has established itself as one of the world leaders in food production. Different types of remote sensing mapping techniques have been undertaken to support rural planning in the count... ... Repository: BDPA Publication year: 2022
Mapping productivity and essential biophysical parameters of cultivated tropical grasslands from sentinel-2 imagery. 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. 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
Indicadores biofísicos no Pantanal usando imagem Sentinel-2ª. O objetivo do trabalho é obter análises preliminares de parâmetros biofísicos em área do Pantanal utilizando o modelo agrometeorológico espectral SAFER (Simple Algorithm For Evapotranspiration Retriev... ... Repository: BDPA Publication year: 2018
HLB BioMath: sentinel network and research. The citrus Huanglongbing (HLB), recognized as the most devastating citrus disease worldwide, was detected in Sao Paulo state, Brazil in 2004. The HLB management strategy employed in São Paulo is based... ... Repository: BDPA Publication year: 2013
Multitemporal segmentation of Sentinel-2 images in an agricultural intensification region in Brazil. 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. 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
Near-real time deforestation detection in the Brazilian Amazon with Sentinel-1 and neural networks. Author(s): SANO, E. E. Optical-based near-real time deforestation alert systems in the Brazilian Amazon are ineffective in the rainy season. This study identify clear-cut deforested areas through Neural Network (NN) algorit... ... Repository: BDPA Publication year: 2022
Optimum combination of spectral variables for crop mapping in heterogeneous landscapes based on Sentinel-2 time series and machine learning. 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

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