Tucumã: A toolbox for spatiotemporal remote sensing image analysis [Software and Data Sets]
- Resource Type
- Periodical
- Authors
- Menini, N.; Almeida, A.; Lamparelli, R.; Le Maire, G.; Oliveira, R.; Verbesselt, J.; Hirota, M.; da S. Torres, R.
- Source
- IEEE Geoscience and Remote Sensing Magazine IEEE Geosci. Remote Sens. Mag. Geoscience and Remote Sensing Magazine, IEEE. 7(3):110-122 Sep, 2019
- Subject
- Geoscience
Power, Energy and Industry Applications
Communication, Networking and Broadcast Technologies
Components, Circuits, Devices and Systems
Computing and Processing
Signal Processing and Analysis
Image sensing
Remote sensing
Data acquisition
Vegetation mapping
Time series analysis
Artificial satellites
- Language
- ISSN
- 2473-2397
2168-6831
2373-7468
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.