CBERS DATA CUBE: A POWERFUL TECHNOLOGY FOR MAPPING AND MONITORING BRAZILIAN BIOMES

12 citations as recorded by crossref.

1. Utilization of Remote Sensing Data in the Simulation of the Water and Heat Regime of Land Areas: A Review of Publications E. Muzylev https://doi.org/10.1134/S0097807823700021
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3. Pattern to process, research to practice: remote sensing of plant invasions J. Müllerová et al. https://doi.org/10.1007/s10530-023-03150-z
4. Spatiotemporal characterization of land cover and degradation in the agreste region of Pernambuco, Brazil, using cloud geoprocessing on Google Earth Engine M. Melo et al. https://doi.org/10.1016/j.rsase.2022.100756
5. Utilization of Remote Sensing Data in the Simulation of the Water and Heat Regime of Land Areas: A Review of Publications E. Muzylev https://doi.org/10.31857/S0321059623700025
6. CBERS data cubes for land use and land cover mapping in the Brazilian Cerrado agricultural belt M. Chaves et al. https://doi.org/10.1080/01431161.2021.1978584
7. Comparative evaluation of the allelopathic interference of inside and peripheral extracts of Eugenia florida DC leaves on the primary development, mitotic index and chromosomal abnormalities of Lactuca sativa L P. Alves et al. https://doi.org/10.1080/15287394.2025.2552807
8. Regional-Scale Assessment of Burn Scar Mapping in Southwestern Amazonia Using Burned Area Products and CBERS/WFI Data Cubes P. Ferro et al. https://doi.org/10.3390/fire7030067
9. Empowering agro-geoinformatics with earth observation analysis ready data: opportunities and challenges L. Lin https://doi.org/10.1016/j.compag.2025.111348
10. Hacia la implantación de una infraestructura de datos de imágenes de satélite en el Instituto Geográfico Nacional con Open Data Cube y QGIS D. Ortega Terol & B. Pérez Martín https://doi.org/10.59192/mapping.416
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12. Satellite Image Time Series Analysis for Big Earth Observation Data R. Simoes et al. https://doi.org/10.3390/rs13132428