Mostrar el registro sencillo del ítem
Ai applications in forest monitoring need remote sensing benchmark datasets
| dc.contributor.author | Lines, E. R. | |
| dc.contributor.author | Allen, M. | |
| dc.contributor.author | Cabo Gómez, Carlos | |
| dc.contributor.author | Calders, K. | |
| dc.contributor.author | Debus, A. | |
| dc.contributor.author | Grieve, S. W. D. | |
| dc.contributor.author | Miltiadou, M. | |
| dc.contributor.author | Noach, A. | |
| dc.contributor.author | Owen, H. J. F. | |
| dc.contributor.author | Puliti, S. | |
| dc.date.accessioned | 2023-05-18T08:19:28Z | |
| dc.date.available | 2023-05-18T08:19:28Z | |
| dc.date.issued | 2022 | |
| dc.identifier.isbn | 9781665480451 | |
| dc.identifier.uri | http://hdl.handle.net/10651/67792 | |
| dc.description | IEEE International Conference on Big Data, Big Data 2022 (2022. Osaka, Japón) | |
| dc.description.sponsorship | E. R. L., S. W. D. G, M. M. and H. J. F. O. were funded by a UKRI Future Leaders Fellowship (MR/T019832/1). E.R.L. was also supported by the Alan Turing Institute. M. A. was supported by the UKRI Centre for Doctoral Training in Application of Artificial Intelligence to the study of Environmental Risks (EP/S022961/1). C. C. was funded by a María Zambrano Grant (Spain; MU-21-UP2021_030) and the Natural Environmental Research Council (UK; NE/T001194/1) K.C was funded by the European Union (ERC-2021-STG Grant agreement No. 101039795) (...) | |
| dc.format.extent | p. 4528-4533 | |
| dc.language.iso | eng | |
| dc.relation.ispartof | Proceedings - 2022 IEEE International Conference on Big Data, Big Data 2022 | |
| dc.rights | ©, | |
| dc.source | Scopus | |
| dc.source.uri | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85147964326&doi=10.1109%2fBigData55660.2022.10020772&partnerID=40&md5=c1157330061beba75e6075f6243a59d8 | |
| dc.title | Ai applications in forest monitoring need remote sensing benchmark datasets | |
| dc.type | conference output | spa |
| dc.identifier.doi | 10.1109/BigData55660.2022.10020772 | |
| dc.relation.projectID | MU-21-UP2021_030 | |
| dc.relation.publisherversion | http://dx.doi.org/10.1109/BigData55660.2022.10020772 |
Ficheros en el ítem
| Ficheros | Tamaño | Formato | Ver |
|---|---|---|---|
|
No hay ficheros asociados a este ítem. |
|||