Slide 1

Production, visualization and analysis of large volumes of remote sensing images modeled as multidimensional data cubes for the entire Brazilian territory.

CBERS-4A Paraíba mosaic

by BDC Team

National Institute for Space Research (INPE), Avenida dos Astronautas, 1758, Jardim da Granja, Sao Jose dos Campos, SP 12227-010, Brasil

DOI – https://doi.org

Posted by Inpe | Published: May 2022

Overview

The CBERS-4A WFI – Paraíba is a mosaic generated and made available by the Brazil data Cube (BDC) project covering the entire Paraíba state, in northeastern Brazil.
The mosaic uses surface reflectance images from the CBERS-4A satellite, WFI imaging camera (or sensor) with 55 meters of spatial resolution. The technologies developed in the Brazil Data Cube project helped in the generation of the mosaic, mainly in the stages of scene selection and composition of tiles free of clouds and cloud shadows. The product generation uses the composition function (Stack) to select the best pixel belonging to the months of July, August and September 2020.
The step of joining the tiles and cutting was done manually, and finally, Geotiff was converted from 16 bits to 8 bits to save space. The final product is an RGB color composite of the respective NIR (B16), Red (B15) and Green (B14) bands.

Data Access

The CBERS-4A WFI Mosaic – Paraíba can be accessed through the Brazil Data Cube portal and also through GIS applications through the OGC WMS service, using the following address:

http://brazildatacube.dpi.inpe.br/bdc/geoserver/mosaics/ows
(Choose layer CB4A-MOSAIC-PARAIBA_55_3M_STK)

Additional information

Temporal CoverageStart Date: 07/01/2020
End Date: 09/30/2020
CoverageWest-bound Longitude: -38.81349
South-bound Latitude: -8.397644
East-bound Longitude: -34.722371
North-bound Latitude: -5.87659
ProcessorSoftware: Cube Builder – 0.4.0
InstrumentsWFI
PlatformCBERS-4A
SourcesCBERS4A WFI Level4 SR dataset
Additional information

© Esta obra foi licenciada sob uma Licença Creative Commons Atribuição-NãoComercial 3.0 Não Adaptada.

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Brazil Data Cube - 2019 - 2022