Plataforma para Análise e Visualização de Grandes Volumes de Dados Geoespaciais
Production, visualization and analysis of large volumes of remote sensing images modeled as multidimensional data cubes for the entire Brazilian territory.
The Brazil Data Cube team actively participated in the XX Brazilian Symposium on Remote Sensing – XX SBSR 2023, in Florianópolis, SC, Brazil, from April 2nd to 5th. During the event, the team was involved in several activities, starting on April 2nd, where the mini-course “Earth Observation Data Cubes and Analysis of Image Time Series” …
On October 3, the Brazil Data Cube project, together with the coordinators of Prodes and Deter, delivered a training module for the Training of Specialists in Geocontrol at the Federal Court of Accounts – Brazil (TCU). The training was focused on demonstrating to TCU specialists the technologies and potential of the Brazil Data Cube Platform, …
A equipe do projeto Brazil Data Cube (BDC) realizou essa semana, nos dias 14 e 15 de dezembro de 2021, o treinamento virtual e hands-on “Acesso aos dados do projeto BDC usando serviços web e análise e classificação de séries temporais de imagens de sensoriamento remoto” para a equipe do TerraClass Amazônia da EMBRAPA. O …
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On September 27th, 2021, Dr Gilberto Camara, one of the members of the BDC team, will conduct virtual hands-on training on the classification of remote sensing image time series using the R package software for Satellite Image Time Series (sits) at FOSS4G (Free and Open Source Software for Geospatial) 2021 conference. The FOSS4G conference is …
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The Brazil Data Cube (BDC) project team presented yesterday, April 12, 2021, the mini-course: Earth Observation Data Cubes and Time Series Analysis within the SBSR Interim. The 06-hour mini-course aimed to present an introduction to concepts of Earth observation data cubes and analysis of time series of remote sensing images. The participants had theoretical and …
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On August 12, 13 and 14, 2020, the Brazil Data Cube project team conducted a virtual hands-on training on the classification of remote sensing image time series using the R package for Satellite Image Time software package Series (SITS). The training was coordinated by Dr Gilberto Camara with support from the Brazil Data Cube (BDC) …
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