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

Menini Nathalia, Almeida Alexandre E., Lamparelli Rubens Augusto Camargo, Le Maire Guerric, Oliveira Rafael S., Verbesselt Jan, Hirota Marina, da S. Torres Ricardo. 2019. Tucumã: A toolbox for spatiotemporal remote sensing image analysis [Software and Data Sets]. IEEE Geoscience and Remote Sensing Magazine, 7 (3) : 110-122.

Quartile : Outlier, Sujet : REMOTE SENSING / Quartile : Outlier, Sujet : GEOCHEMISTRY & GEOPHYSICS / Quartile : Outlier, Sujet : IMAGING SCIENCE & PHOTOGRAPHIC TECHNOLOGY

Résumé : 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 interoperability issues include system mismatch and the variety of user profiles and data types.

Mots-clés Agrovoc : télédétection, analyse d'image, interopérabilité, variété, analyse de données, emploi

Agences de financement hors UE : Coordenação de Aperfeiçoamento de Pessoal de Nível Superior, Conselho Nacional de Desenvolvimento Científico e Tecnológico, Fundação de Amparo à Pesquisa do Estado de São Paulo, Instituto Serrapilheira

Auteurs et affiliations

• Menini Nathalia, UNICAMP (BRA)
• Almeida Alexandre E., UNICAMP (BRA)
• Lamparelli Rubens Augusto Camargo, USP (BRA)
• Le Maire Guerric, CIRAD-PERSYST-UMR Eco&Sols (FRA) ORCID: 0000-0002-5227-958X
• Oliveira Rafael S., UC (USA)
• Verbesselt Jan, KUL (BEL)
• Hirota Marina, UDESC (BRA)
• da S. Torres Ricardo, Norwegian University of Science and Technology (NOR)

Source : Cirad-Agritrop (https://agritrop.cirad.fr/606024/)

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