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

doi:10.1109/MGRS.2019.2928260

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 journal › Article › Academic › peer-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 language	English
Pages (from-to)	110-122
Journal	IEEE Geoscience and Remote Sensing Magazine
Volume	7
Issue number	3
DOIs	https://doi.org/10.1109/MGRS.2019.2928260
Publication status	Published - 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

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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.",

author = "Nathalia Menini and Almeida, {Alexandre E.} and Rubens Lamparelli and {Le Maire}, Guerric and Oliveira, {Rafael S.} and Jan Verbesselt and Marina Hirota and {Da S. Torres}, Ricardo",

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Tucumã: A toolbox for spatiotemporal remote sensing image analysis [Software and Data Sets]. / Menini, Nathalia; Almeida, Alexandre E.; Lamparelli, Rubens; Le Maire, Guerric; Oliveira, Rafael S.; Verbesselt, Jan; Hirota, Marina; Da S. Torres, Ricardo.

In: IEEE Geoscience and Remote Sensing Magazine, Vol. 7, No. 3, 23.09.2019, p. 110-122.

Research output: Contribution to journal › Article › Academic › peer-review

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