Plataforma para Análise e Visualização de Grandes Volumes de Dados Geoespaciais
Production, visualization and analysis of large volumes of remote sensing images modeled as multidimensional data cubes for the entire Brazilian territory.
Between November 25th and 29th, the Georeferenced Information Base Program (BIG) of INPE/MCTI held a workshop for the SISAM – Integrated Environmental Information System for Health project team. This project is the result of a partnership between INPE’s Fire Monitoring Program and the Ministry of Health, with the involvement of the technical team from the …
The technologies, tools and products from Brazil Data Cube (BDC) were presented at the 8th Symposium on Geotechnologies in Pantanal, held on November 11th and 13th, 2024, at the SESC Pantanal in the municipality of Poconé, Mato Grosso – MT. The event brought together experts and students to discuss the use of geotechnologies in Pantanal …
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The Brazil Data Cube (BDC) team gave a course on Earth observation data cube concepts and remote sensing image time series analysis at the ISPRS Technical Commission III Mid-term Symposium on Remote Sensing, on November 4 in Belém (PA). The ISPRS Technical Commission is dedicated to discussing remote sensing technologies and applications. The symposium, which …
During the week of June 17-21, 2024, the Brazil Data Cube (BDC) project team conducted a course for professionals, including interpreters, auditors, and developers, from the Satellite Monitoring Program of Brazilian Biomes (BiomasBR) of the National Institute for Space Research (INPE). This course took place at the LabGeo Laboratory from Division of Earth Observation and …
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by Gilberto Camara4,1, Rolf Simoes1, Heloisa M Ruivo1, Pedro R Andrade1, Aline C Soterroni3, Fernando M Ramos1, Rafael G Ramos1, Marluce Scarabello1, Claudio Almeida1, Ieda Sanches1, Luis Maurano1, Alexandre Coutinho2, Julio Esquerdo2, João Antunes2, Adriano Venturieri2 and Marcos Adami1 1- National Institute for Space Research (INPE), Av. dos Astronautas, 1.758, São José dos Campos 12227-010, Brazil 2- Brazilian Agricultural Research Corporation (EMBRAPA), Av. André Tosello, 209, Campinas 13083-886, Brazil 3- Department …
by Vitor C. F. Gomes¹, Gilberto R. Queiroz², Karine R. Ferreira², Edzer Pebesma³ and Claudio C. F. Barbosa² ¹ C4ISR Division, Institute for Advanced Studies (IEAv), São José dos Campos, Brazil;² Earth Observation and Geoinformatics Division, National Institute for Space Research (INPE), São José dos Campos, Brazil;³ Institut für Geoinformatik, Westfälische Wilhelms-Universität, Münster, Germany. DOI: https://doi.org/10.1080/17538947.2024.2313099 …
Continue reading “Brazil Data Cube Workflow Engine: a tool for bigEarth observation data processing”
by Rennan de Freitas Bezerra Marujo¹, Felipe Menino Carlos¹ ², Raphael Willian da Costa¹, Jeferson de Souza Arcanjo¹, José Guilherme Fronza¹ ³, Anderson Reis Soares¹ 4 , Gilberto Ribeiro de Queiroz¹, Karine Reis Ferreira¹ ¹ National Institute for Space Research (INPE), São Paulo, Brazil² Group on Earth Observation (GEO), Reston, VA, United States³ The Nature Conservancy, Florianópolis, …
by BDC Team National Institute for Space Research (INPE), São José dos Campos 12227-010, Brazil DOI – https://doi.org/ Publisher: Inpe | Published: Overview This datacube was generated with all available surface reflectance from Landsat images (Landsat-8, Landsat-9). The data is provided with 30 meters of spatial resolution, reprojected and cropped to BDC_MD grid Version 2 (BDC_MD V2), …
by BDC Team National Institute for Space Research (INPE), São José dos Campos 12227-010, Brazil DOI – https://doi.org/ Publisher: Inpe | Published: Overview This datacube was generated with all available surface reflectance images processed using Sen2cor. The data is provided with 10 meters of spatial resolution, reprojected and cropped to BDC_SM grid Version 2 (BDC_SM V2), considering …
by BDC Team National Institute for Space Research (INPE), São José dos Campos 12227-010, Brazil DOI – https://doi.org/ Publisher: Inpe | Published: Overview This datacube was generated with all available surface reflectance images from sensor WFI on board CBERS-4 and CBERS-4A satellites. The data is provided with 64 meters of spatial resolution, reprojected and cropped to BDC_LG_V2 …