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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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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

by R. F. B. Marujo¹, J. G. Fronza¹, A. R. Soares¹, G. R. Queiroz¹ and K. R. Ferreira¹ 1National Institute for Space Research (INPE), Brazil DOI: https://doi.org/10.5194/isprs-annals-V-3-2021-271-2021 Publisher: ISPRS | Published: 17 Jun 2021 © Author(s) 2021. This work is distributed under the Creative Commons Attribution 4.0 License. Abstract Accurate and consistent Surface Reflectance estimation from optical …

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Accessing and processing Brazilian earth observation data cubes with the open data cube platform

by V. C. F. Gomes1,2,  F. M. Carlos2,  G. R. Queiroz2,  K. R. Ferreira2 and R. Santos2 1C4ISR Division, Institute for Advanced Studies (IEAv), São José dos Campos, SP 12228-001, Brazil ²National Institute for Space Research (INPE), Brazil DOI: https://doi.org/10.5194/isprs-annals-V-4-2021-153-2021 Publisher: ISPRS | Published: 17 Jun 2021 © Author(s) 2021. This work is distributed under the Creative …

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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 …

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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 …

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New publication by the Brazil Data Cube team

Scholarship holder Lorena Santos, from the Brazil Data Cube project, published the article “Quality control and class noise reduction of satellite image time series” in the ISPRS Journal of Photogrammetry and Remote Sensing, together with her OTG advisors and project researchers, Karine Ferreira, Gilberto Camara and Michelle Picoli. “ The article is the result of …

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Quality control and class noise reduction of satellite image time series

by Lorena Alves Santos 1,*,Karine Ferreira 1,Michelle Picoli 1,Gilberto Camara 1, and Rolf E. O. Simoes¹ 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 DOI: https://doi.org/10.1016/j.isprsjprs.2021.04.014 Publisher: ScienceDirect | Published: 15 May 2021 Abstract The extensive amount of Earth observation satellite images available brings opportunities …

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The BDC team attended on April 15th the CSIRO event “Exploring the value and challenges of using Earth Observation Data”

The BDC team presented on April 15th the project activities in the ‘Exploring the value and challenges of using Earth Observation Data’. The workshop was aimed at members of various related organizations around EO, in countries throughout the Americas. More information at: https://welcu.com/csiro-cl/observacion-de-la-tierra Source: Brazil Data Cube Project

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The BDC team presented on April 15th the project activities using AWS in the ‘AWS Public Sector Summit Online 2021’.

The BDC team presented on April 15th the project activities in the ‘AWS Public Sector Summit Online 2021’. At the roundtable, the BDC team will talk about their experience using AWS services to develop the Data cube builder application, which is part of the Brazilian Earth Observation Data Cube. More information at: https://aws.amazon.com/pt/events/summits/online/public-sector/ Source: Brazil …

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Brazil Data Cube - 2019 - 2025