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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.

Using time series and machine learning techniques to classify agricultural areas in petrolina-pe

by BRITO, Pedro1; CARVALHO, Herica2; CHAVES, Michel3; SANTOS, Rafael1 1National Institute for Space Research (INPE) 2Renato Archer Information Technology Center 3Universidade Estadual Paulista “Júlio de Mesquita Filho” (UNESP) XXI Brazilian Remote Sensing Symposium: https://proceedings.science/sbsr-2025/trabalhos/uso-de-series-temporais-e-tecnicas-de-machine-learning-para-classificar-areas-ag Publisher: Proceedings XXI Brazilian Remote Sensing Symposium | Published on 13 April 2025 Abstract The objective of this study was to evaluate …

WTSS-QGIS: an extension for retrieving and visualizing satellite image time series in the QGIS environment

by ANJOS, Abner1; VIEIRA, Fabiana Zioti1; COSTA, Raphael Willian da1; QUEIROZ, Gilberto Ribeiro de1; FERREIRA, Karine Reis1; CHO, David Fernando1. 1National Institute for Space Research (INPE) XXI Brazilian Remote Sensing Symposium: https://proceedings.science/sbsr-2025/trabalhos/wtss-qgis-uma-extensao-para-recuperacao-e-visualizacao-de-series-temporais-de-im Publisher: Proceedings XXI Brazilian Remote Sensing Symposium | Published on 13 April 2025 Abstract This article describes the development of a plugin for retrieving …

Integration of Radar and Optical Data for Identifying Tropical Forest Disturbances

by SOUZA, Felipe Carvalho de1; CAMARA, Gilberto1; CARLOS, Felipe1; FREITAS, Ana Larissa Ribeiro De1; SIMOES, Rolf3; FERREIRA, Karine Reis1; GIULIANI, Gregory4; REICHE, Johannes5. 1National Institute for Space Research (INPE) 2Group on Earth Observations – GEO 3OpenGeoHub Foundation – OGH 4University of Geneva – Switzerland 5Wageningen University XXI Brazilian Remote Sensing Symposium: https://proceedings.science/sbsr-2025/trabalhos/integration-of-radar-and-optical-data-for-identifying-tropical-forest-disturbanc Publisher: Proceedings XXI Brazilian …

Detecting atypical agricultural patterns in rural credit applications based on satellite image time series

by SILVA, Baggio Luiz de Castro e1; FERREIRA, Karine Reis1; QUEIROZ, Gilberto Ribeiro de1; ADAMI, Marcos1; KÖRTING, Thales Sehn1. 1National Institute for Space Research (INPE) XXI Brazilian Remote Sensing Symposium: https://proceedings.science/sbsr-2025/trabalhos/detectando-padroes-atipicos-de-agricultura-em-aplicacoes-de-credito-rural-basead Publisher: Proceedings XXI Brazilian Remote Sensing Symposium | Published on 13 April 2025 Abstract This paper presents a methodology for detecting atypical patterns in agricultural …

Cataloging GOES Satellite Images in INPE’s Georeferenced Information Base

by UBA, Douglas Messias1; QUEIROZ, Gilberto Ribeiro de1; VINHAS, Lubia1 1National Institute for Space Research (INPE) XXI Brazilian Remote Sensing Symposium: https://proceedings.science/sbsr-2025/trabalhos/catalogacao-de-imagens-dos-satelites-goes-na-base-de-informacoes-georreferenciad Publisher: Proceedings XXI Brazilian Remote Sensing Symposium | Published on 13 April 2025 Abstract BIG, an acronym for Georeferenced Information Base,is an institutional program under development at INPE. Its goal is to build a …

A Web Service for Phenology Metrics Extraction from Big Earth Observation Data

by SANSIGOLO, Gabriel1; FERREIRA, Karine Reis2; QUEIROZ, Gilberto Ribeiro de2; ADAMI, Marcos2; KÖRTING, Thales Sehn2 1 Funcate 2National Institute for Space Research (INPE) XXI Brazilian Remote Sensing Symposium: https://proceedings.science/sbsr-2025/trabalhos/a-web-service-for-phenology-metrics-extraction-from-big-earth-observation-data Publisher: Proceedings XXI Brazilian Remote Sensing Symposium | Published on 13 April 2025 Abstract Phenology is the study of timing recurrent biological events,being an important indicator of …

Evaluating Forest Disturbance Detection Methods based on Satellite Image Time Series for Amazon Deforestation Alerts

by Mota, F. B. D. S.1, Ferreira, K. R.1, and Escada, M. I. S1 1National Institute for Space Research (INPE) DOI: https://doi.org/10.5194/isprs-archives-XLVIII-3-2024-357-2024 Publisher: ISPRS | Published: 2024, November 7th © Author(s) 2024. This work is distributed under the Creative Commons Attribution 4.0 License. Abstract This study explores automated detection methods of forest disturbances using satellite image …

The HARMONIZE Project and the EODCtHRS Architecture: An Earth Observation Data Cube tuned for Health Response Systems

by Adeline M. Maciel2, Marcos L. Rodrigues1, Yuri D. M. Nunes1, Luana B. da Luz1, Ana P. Dal’Asta1, Gilberto R. Queiroz1, Karine R. Ferreira1, Sidnei João S. Sant’Anna 1, Maria Isabel S. Escada1, Ana Claudia R. Vitor1, Christovam Barcellos3, Cláudia T. Codeço3, Diego R. Xavier3, Vanderlei P. de Matos3, Raphael de F. Saldanha3, Abner E. …

Impact of land tenure on deforestation control and forest restoration in Brazilian Amazonia

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 …

New article published by the Brazil Data Cube team in partnership with the University of Munster, Germany, and LABISA/DIOTG.

The article “Brazil Data Cube Workflow Engine: a tool for big Earth observation data processing” was published this week in the journal “International Journal of Digital Earth” by the Brazil Data Cube project team in partnership with the University of Munster, Germany, and the LabISA/DIOTG Laboratory. The article demonstrates the advances in research and development …

Brazil Data Cube - 2019 - 2025