Innovation in Earth Observation With the Brazil Data Cube [Space Agencies]
Abstract
Just over a decade ago, the availability of automated solutions for accessing Earth observation (EO) data from imaging sensors, even in minimally preprocessed form, was not yet a reality. At that time, users typically had to consult image catalogs manually and apply a sequence of preprocessing techniques themselves. These efforts were further intensified when the applications required time series of images or the integration of data from multiple sensors. In addition to these labor-intensive tasks, users also needed to rely on local computational infrastructure capable of storing and processing large volumes of data. As a result, a significant amount of time was spent on dataset preparation, often delaying the actual analytical tasks of interest.
Fields of Study & Subjects
Satellite Image Processing and Photogrammetry
Scientific Computing and Data Management
Remote Sensing in Agriculture
Publication details
- Journal / source
- IEEE Geoscience and Remote Sensing Magazine
- Volume
- 14
- Issue
- 1
- Pages
- 424–429
- Publication date
- 1 February 2026
- Language
- EN