Slide 1

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

SITS – Satellite Image Time Series Analysis for Earth Observation Data Cubes

Sits package is an open source software for analysis, visualization and classification of satellite image time series data.

Sits has been designed to work with big satellite image data sets and to fully support all steps of land use and land cover classification workflow, including but not limited to: sampling selection, time series clustering, machine learning model training and validation, classification, and maps post-processing.

Sits

Associated publications:

Satellite Image Time Series Analysis for Big Earth Observation Data

by Rolf Simoes 1 , Gilberto Camara 1, Gilberto Queiroz 1, Felipe Souza 1, Pedro R. Andrade 1, Lorena Santos 1, Alexandre Carvalho 2 and Karine Ferreira 1 1National Institute for Space Research (INPE), Avenida dos Astronautas, 1758, Jardim da Granja, Sao Jose dos Campos, SP 12227-010, Brazil 2National Institute for Applied Economics Research, SBS, Quadra 1 Bloco J, Brasília, DF 70076-900, Brazil Remote Sens. 2021, 13(13), …

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 …

Brazil Data Cube - 2019 - 2024