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 available soon on the publications page of the project’s website and Brazil Data Cube Channel on Youtube.

Source: Brazil Data Cube team.

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 algorithms on Landsat-8/OLI and Sentinel-2/MSI data over AERONET stations in Brazilian territory” on July 7th.

The papers are available on the publications page of the project’s website and the presentations will be available at Brazil Data Cube Channel on Youtube later this week.

Source: Brazil Data Cube team.

New publication by the Brazil Data Cube team

The associate researcher Rolf Simoes, from the Brazil Data Cube project, published the article “Satellite Image Time Series Analysis for Big Earth Observation Data” at the Remote Sensing journal, with his OTG advisors Gilberto Queiroz and Gilberto Camara, and other project members.

The article is the result of his PhD on Applied Computing at INPE. It presents an open source R package, SITS, state-of-the-art in satellite image time series classification, which provides full support to the workflow for the generation of land use and land cover maps using machine learning techniques. The software works in different cloud computing environments, with a simple set of functions that makes it easy to use. In the article, it is shown that the time series classification approach using machine learning produces land use and land cover maps with good accuracy through a case study in the Brazilian Cerrado biome, for the year 2018, using the data cubes generated by the project.

To see other publications by the BDC team, visit

Source: Brazil Data Cube team.

Using time series for land classification (source: authors)

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 land classification.

SEPAL (System for earth observations, data access, processing & analysis for land monitoring) is an open source platfom developed by the Open Foris team in Forestry Department of the United Nations Food and Agriculture Organization (FAO).

Organized by Group of Earth Observation (GEO) and Global Forest Observations Initiative (GFOI) the workshop will be held virtually on 16-17 June. For more information, access the workshop page:

Source: Brazil Data Cube project.

Two Landsat-8/OLI image mosaics of Brazil are available on the Brazil Data Cube Portal

Two image mosaics of Brazil was launched today by the Brazil Data Cube project team. These mosaic were generated from Landsat-8/OLI images, surface reflectance, with 30 meters of spatial resolution.

These mosaics were generated by selecting best pixels (free of clouds and cloud shadows) in two periods of 6 months: (1) July 2017 to December 2017 and (2) January 2018 to June 2018. The products use RGB color composition of the SWIR1 (B6), NIR (B5) e RED (B4) bands.

The visualization and download of these mosaics can be done in the BDC portal:

The Earth observation data cubes that were used to produce these mosaics, named Landsat-8 6M Cube (OLI) with all spectral bands from 1 to 7, are also available in the project portal.

In addition to the mosaics and the data cubes with 30 meters of spatial resolution, we offer other versions of mosaics with 64 and 250 meters, respectively. These mosaics can be download in GeoTIFF format from the following links:

These mosaics also can be access with GIS applications through the OGC WMS service using the following address.


Source: Brazil Data Cube team