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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.

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BDC Explorer

Author: claudinei

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Brazil Data Cube team presented a mini-course at SBSR Interim

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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The Brazil Data Cube team presented a Knowledge Package in 2nd GEO Knowledge Hub webinar.

The Brazil Data Cube (BDC) team from the National Institute for Space Research (INPE) presented a deep dive into the Land Use/Land Cover Classification Knowledge Package developed by project, in the 2nd GEO Knowledge Hub (GKH) Webinar. The event was organized by the Group on Earth Observations (GEO) and held virtually today. See the webinar …

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II Workshop do projeto Brazil Data Cube

A equipe do projeto Brazil Data Cube (BDC) promoveu essa semana, nos dias 29, 30 e 31 de março de 2021, um workshop para apresentar os produtos de dados e de software que estão desenvolvendo. O evento faz parte das atividades previstas no âmbito do projeto de Monitoramento Ambiental dos Biomas Brasileiros (FA-BIOMAS), financiado com recursos do Fundo Amazônia, …

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The Brazil Data Cube team presented its products based on AWS in the GEO-AWS EO Cloud Credits Webinar

The BDC team presented the partial results of the project “Brazilian Earth Observation Data Cube using AWS for Land Use and Cover Change” in the GEO-AWS EO Cloud Credits webinar. The webinar was held this week from 22 to 25 March 2021. The BDC team presented its software applications and services that run on AWS, …

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Identifying Spatiotemporal Patterns in Land Use and Cover Samples from Satellite Image Time Series

by Lorena Alves Santos 1,*,Karine Ferreira 1,Michelle Picoli 1,Gilberto Camara 1,Raul Zurita-Milla 2 and Ellen-Wien Augustijn 2 1Earth Observation and Geoinformatics Division, National Institute for Space Research (INPE), Avenida dos Astronautas, 1758, Jardim da Granja, Sao Jose dos Campos, SP 12227-010, Brazil 2Faculty of Geo-Information Science and Earth Observation (ITC), University of Twente, 7500 AE Enschede, The Netherlands Academic Editor: Lluís Pesquer Mayos …

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New publication by the Brazil Data Cube team in collaboration with University of Twente

The BDC project team, in collaboration with researchers from Faculty Geo-Information Science and Earth Observation (ITC) of the University of Twente, Netherlands, has just published an article in the Remote Sensing Journal. The article entitled “Identifying Spatiotemporal Patterns in Land Use and Cover Samples from Satellite Image Time Series” presents a method to improve the …

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The Brazil Data Cube team presented a case study in the first GEO Knowledge Hub (GKH) webinar.

The Brazil Data Cube (BDC) project team from the National Institute for Space Research (INPE) presented a case study in the first GEO Knowledge Hub (GKH) webinar. The event was organized by the Group on Earth Observations (GEO) and held virtually on February 24, 2021. The title of the case study is “Land use and …

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GEO-INPE Webinars on Brazil’s forest monitoring system

The Group on Earth Observations (GEO) is hosting a series of webinars describing Brazil’s Amazon monitoring system, the tools used and the recent technological advances by Brazil’s National Institute for Space Research (INPE). The webinars will address the following topics: The PRODES system: history, operation, data dissemination and use. The DETER system: history, operation, data …

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rstac: an R package client for STAC developed by the BDC team

Brazil Data Cube team developed an R package called rstac that is a client for SpatioTemporal Asset Catalog (STAC). It provides functions to access, search and download spacetime earth  observation data via STAC. This package  supports the version 0.8.1 or higher of the STAC specification. This package is published in the CRAN. Source: Brazil Data …

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Brazil Data Cube - 2019 - 2025