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Acknowledgments: The PARSEC project is funded by the Belmont Forum, Collaborative Research Action on Science-Driven e-Infrastructures Innovation. acknowledgements: JM to FAPESP process (20/03514-9), PR to NEXUS FAPESP process (17/22269-2) and PC to PARSEC FAPESP process (18/24017-3).
Undegraduate poster related to PARSEC project presented at the 30º SIICUSP (2022). Video presentation on Youtube
remote sensing imagery, deep learning, Nexus area, data science
remote sensing imagery, deep learning, Nexus area, data science
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
| views | 6 | |
| downloads | 8 |

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