Tucumã: A toolbox for spatiotemporal remote sensing image analysis [Software and Data Sets]

Nathalia Menini, Alexandre E. Almeida, Rubens Lamparelli, Guerric Le Maire, Rafael S. Oliveira, Jan Verbesselt, Marina Hirota, Ricardo Da S. Torres

Research output: Contribution to journalArticleAcademicpeer-review

1 Citation (Scopus)

Abstract

Remote sensing images have been broadly employed over the past decades to detect and investigate temporal changes on Earth's surface. Appropriate tools are needed to support complex analyses of temporal data in various domains, ranging from purely scientific to educational. There are many existing tools, but it is often necessary to switch among them several times. Typical inter operability issues include system mismatch and the variety of user profiles and data types.
Original languageEnglish
Pages (from-to)110-122
JournalIEEE Geoscience and Remote Sensing Magazine
Volume7
Issue number3
DOIs
Publication statusPublished - 23 Sep 2019

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    Menini, N., Almeida, A. E., Lamparelli, R., Le Maire, G., Oliveira, R. S., Verbesselt, J., Hirota, M., & Da S. Torres, R. (2019). Tucumã: A toolbox for spatiotemporal remote sensing image analysis [Software and Data Sets]. IEEE Geoscience and Remote Sensing Magazine, 7(3), 110-122. https://doi.org/10.1109/MGRS.2019.2928260