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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.

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 …

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 …

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 …

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 …

Paper about the Brazil Data Cube Project

The article “Earth Observation Data Cubes for Brazil: Requirements, Methodology and Products” has been published in Remote Sensing Journal as part of the Special Issue State-of-the-Art Remote Sensing in South America and is available online at: https://www.mdpi.com/2072-4292/12/24/4033. See more publications of the Brazil Data Cube Project at https://data.inpe.br/bdc/web/papers/ Source: Brazil Data Cube Project

Brazil Data Cube team attends at Brazilian Symposium on Geoinformatics – GEOINFO 2020

The Brazil Data Cube (BDC) project team from the National Institute for Space Research (INPE) attended in XXI Brazilian Symposium on Geoinformatics – GEOINFO 2020. The event was held virtually, from November 30 to December 03, 2020. The GEOINFO series is an annual conference for exploring ongoing research, development and innovative applications on geographic information …

New publication from Brazil Data Cube project team

The BDC project team has just published a paper in the journal IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, about a new segmentation method based on a superpixel approach, entitled “Simple Non-Linear Iterative Temporal Clustering” Access in https://ieeexplore.ieee.org/document/9258957 (For now as Early Access). To see others publications from BDC team access https://data.inpe.br/bdc/web/papers/. Source: Brazil Data …

The Brazil Data Cube Project team participated in WorCAP/2020 with a lecture and mini-course on Geoinformatics

Nas duas últimas semanas aconteceu o WorCAP 2020, evento do programa de Pós-Graduação em Computação Aplicada (CAP) do Instituto Nacional de Pesquisas Espaciais (INPE). A equipe do BDC se fez presente no evento, no dia 09 de setembro de 2020 com a apresentação “Projeto Brazil Data Cube e suas pesquisas em computação aplicada” e nos …

CBERS4 images mosaic of Brazil by the Brazil Data Cube Project

A CBERS4 image mosaic of Brazil was launched today by the Brazil Data Cube project team. This mosaic uses CBERS4/WFI images, surface reflectance, with 64 meters of spatial resolution. It was generated with technologies under development in the Brazil Data Cube project, using the best pixel (free from cloud and cloud shadows) chosen in a …

Brazil Data Cube - 2019 - 2025