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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.

Internal Workshop of the Brazil Data Cube project

Last Friday, July 29, 2022, an internal workshop on the Brazil Data Cube project was held at INPE. The event was attended by 42 people, including the project team, partners, collaborators and master’s and doctoral students. In this workshop, the results, advances and partnerships with other INPE projects were presented and discussed, with the aim …

BDC team attended the IGARSS 2022 last week presenting one paper

The BDC team attended last week the International Geoscience and Remote Sensing Symposium (IGARSS 2022), presenting the paper “GENERATING ANALYSIS READY DATA COLLECTIONS FOR BRAZIL”. The paper presents the BDC Collection Builder: an application for Earth observation satellite images acquisition and processing to produce Analysis Ready Data. Access the poster here and the paper will be …

BDC in the conference “Using Big Data and Machine Learning for Land Cover and Land Use Mapping: Challenges to Mapping Accuracy”

The BDC team will present “Brazil Data Cube – Big Earth observation data modeled as multidimensional cubes, machine learning and image time series analysis” at the conference “Using Big Data and Machine Learning for Land Cover and Land Use Mapping: Challenges to Mapping Accuracy” to be held on July 5, 6 and 7, from 11:00h …

BDC team attended the XXIV ISPRS Congress 2022 last week presenting three papers

The BDC team attended the International Society for Photogrammetry and Remote Sensing Congress (XXIV ISPRS 2022), presenting three papers. The first paper “Building Earth Observation Data Cubes on AWS” describes an application for building EO data cubes on the Amazon Web Service (AWS) cloud computing environment. The second paper “Spatiotemporal Segmentation of Satellite Image Time …

Participate in the demonstration of the data and software products of the BDC project in the Workshop “Agro: Technologies and Spatial Applications”

The Brazil Data Cube project team will demonstrate their data and software products at the Workshop “Agro: Technologies and Space Applications” and will take place on May 24, 2022, at the SENAI Events Center Cuiabá, MT, with an opening ceremony scheduled for 8:00 am. The event is idealized by the Brazilian Space Agency and organized …

The BDC team will attend the Workshop for the GEO Wetlands Initiative

The Brazil Data Cube and SABERES project teams will present their joint initiatives to produce Sentinel 1 data cubes and to extract water bodies from them using machine learning at Virtual Ideation Workshop for the GEO Wetlands Initiative, tomorrow, May 11, 2022. The event is organized by the Group on Earth Observations (GEO), an international …

Earth observation data cubes for Brazil on AWS as Open Data

From January 2022, the Earth observation data cubes produced by the Brazil Data Cube project are available on AWS (Amazon Web Service) as Open Data. These data cubes are produced from Analysis-Ready Data (ARD) of CBERS-4, Sentinel-2 and Landsat-8 satellite images for the entire region of Brazil. Based on a hierarchical tiling system, the data …

Presentation today about the BDC project at UFOP, MG.

The BDC team will present today, the 14th, at 3:00 pm, the computational platform, data products and software that are being developed in the project using artificial intelligence, machine learning and image time series analysis, to the TerraLAB research group from the Federal University of Ouro Preto. TerraLAB is the laboratory for Modeling and Simulation …

Paper published by the Brazil Data Cube team

The BDC project team published the paper “A platform for land use and land cover data integration and trajectory analysis” in the International Journal of Applied Earth Observation and Geoinformation (Impact Factor: 5.9). The paper presents a platform that allows users to access land use and land cover (LULC) collections from distinct sources, map their …

Brazil Data Cube - 2019 - 2024