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Production, visualization and analysis of large volumes of remote sensing images modeled as multidimensional data cubes for the entire Brazilian territory.

Brazil Data Cube project team teaches course for IBGE and National School of Statistical Sciences

A equipe do projeto Brazil Data Cube (BDC), coordenada pelos servidores da DIOTG Gilberto Queiroz e Karine Ferreira, ministrou essa semana nos dias 09 e 10 de setembro de 2021 o curso “Descoberta e acesso aos dados do projeto BDC usando serviços web e análise e classificação de séries temporais de imagens” para o Instituto …

Brazil Data Cube team will present a mini-course at WorCAP 2021

The Brazil Data Cube (BDC) project team will present on September 15th, 2021, the mini-course: “Introduction to STAC and WTSS” within the WorCAP 2021. The 04-hour mini-course aimed to present an introduction to the concepts of time series and data cubes, as well as how to use, through Python language, the services Spatio Temporal Asset …

Brazil Data Cube team will attend the GISFOREST Workshop

The BDC team will present the project in the International Workshop on Forest Geotechnologies (GISFOREST), on September 1st. GISFOREST is an event of innovations in geotechnologies for forest applications. This is the second edition and will take place online, from August 31st to September 2nd. The registrations can be made on the event website. Source: …

Brazil Data Cube team will attend the MundoGEO Connect

The Brazil Data Cube team will attend the MundoGEO Connect event, tomorrow, August 19th, at 2 pm. The lecture about the project will be in the panel: Images, Artificial Intelligence, Machine and Deep Learning, with the theme: “Brazil Data Cube Project: Image data cubes, big data, time series analysis and machine learning”. The event is …

BDC team will attend the IGARSS-2021 Symposium this week

The BDC team will attend on July 13th the International Geoscience and Remote Sensing Symposium (IGARSS-2021) presenting the paper “RSTAC: An R package to access spatiotemporal asset catalog satellite imagery”. The package provides functions to access, search and download spacetime earth observation data via STAC and is published in the CRAN.’ The paper and presentation will be …

BDC’s team will attend the XXIV ISPRS congress this week

The BDC team will attend the International Society for Photogrammetry and Remote Sensing Congress (XXIV ISPRS) with two paper presentations. The team will present the paper “Accessing and processing Brazilian Earth observation data cubes with the Open Data Cube platform” on July 6th and the paper “Evaluating the impact of LaSRC and Sen2cor atmospheric correction …

Live demonstration of SITS with SEPAL platform in the GEO-GFOI Workshop

The BDC team will present tomorrow (June, 16th) in the GEO-GFOI Workshop a live demonstration of the R package SITS (Satellite Image Time Series Analysis) running in the SEPAL platform. SITS is an open source R package for satellite image time series analysis and machine learning. It supports the complete cycle of data analysis for …

The BDC team attended on April 15th the CSIRO event “Exploring the value and challenges of using Earth Observation Data”

The BDC team presented on April 15th the project activities in the ‘Exploring the value and challenges of using Earth Observation Data’. The workshop was aimed at members of various related organizations around EO, in countries throughout the Americas. More information at: https://welcu.com/csiro-cl/observacion-de-la-tierra Source: Brazil Data Cube Project

The BDC team presented on April 15th the project activities using AWS in the ‘AWS Public Sector Summit Online 2021’.

The BDC team presented on April 15th the project activities in the ‘AWS Public Sector Summit Online 2021’. At the roundtable, the BDC team will talk about their experience using AWS services to develop the Data cube builder application, which is part of the Brazilian Earth Observation Data Cube. More information at: https://aws.amazon.com/pt/events/summits/online/public-sector/ Source: Brazil …

Brazil Data Cube - 2019 - 2024