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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 …

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