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Land use predicition accuracy of different supervised class..:
Della-Silva, João Lucas
;
Pelissari, Tatiane Deoti
;
dos Santos, Daniel Henrique
...
Remote Sensing Applications: Society and Environment. 35 (2024) - p. 101257 , 2024
Link:
https://doi.org/10.1016/j.rsase.2024.101257
RT Journal T1
Land use predicition accuracy of different supervised classifiers over agriculture and livestock economy-based municipality in Brazil
UL https://suche.suub.uni-bremen.de/peid=cr-10.1016_j.rsase.2024.101257&Exemplar=1&LAN=DE A1 Della-Silva, João Lucas A1 Pelissari, Tatiane Deoti A1 dos Santos, Daniel Henrique A1 Oliveira-Júnior, José Wagner A1 Teodoro, Larissa Pereira Ribeiro A1 Teodoro, Paulo Eduardo A1 Santana, Dthenifer Cordeiro A1 de Oliveira, Izabela Cristina A1 Rossi, Fernando Saragosa A1 Silva Junior, Carlos Antonio da PB Elsevier BV YR 2024 SN 2352-9385 JF Remote Sensing Applications: Society and Environment VO 35 SP 101257 LK http://dx.doi.org/https://doi.org/10.1016/j.rsase.2024.101257 DO https://doi.org/10.1016/j.rsase.2024.101257 SF ELIB - SuUB Bremen
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