Source: International Journal of Remote Sensing. Unidade: ESALQ
Subjects: APRENDIZADO COMPUTACIONAL, CLASSIFICAÇÃO DO SOLO, ESPECTROSCOPIA, GEOESTATÍSTICA, MAPEAMENTO DO SOLO, MODELOS MATEMÁTICOS, REGRESSÃO LOGÍSTICA, SENSORIAMENTO REMOTO
ABNT
ASGARI, Najmeh et al. Incorporating environmental variables, remote and proximal sensing data for digital soil mapping of USDA soil great groups. International Journal of Remote Sensing, v. 41, n. 19, p. 7624-7648, 2020Tradução . . Disponível em: http://www.tandfonline.com/doi/full/10.1080/01431161.2020.1763506. Acesso em: 17 nov. 2025.APA
Asgari, N., Ayoubi, S., Jafari, A., & Demattê, J. A. M. (2020). Incorporating environmental variables, remote and proximal sensing data for digital soil mapping of USDA soil great groups. International Journal of Remote Sensing, 41( 19), 7624-7648. doi:10.1080/01431161.2020.1763506NLM
Asgari N, Ayoubi S, Jafari A, Demattê JAM. Incorporating environmental variables, remote and proximal sensing data for digital soil mapping of USDA soil great groups [Internet]. International Journal of Remote Sensing. 2020 ; 41( 19): 7624-7648.[citado 2025 nov. 17 ] Available from: http://www.tandfonline.com/doi/full/10.1080/01431161.2020.1763506Vancouver
Asgari N, Ayoubi S, Jafari A, Demattê JAM. Incorporating environmental variables, remote and proximal sensing data for digital soil mapping of USDA soil great groups [Internet]. International Journal of Remote Sensing. 2020 ; 41( 19): 7624-7648.[citado 2025 nov. 17 ] Available from: http://www.tandfonline.com/doi/full/10.1080/01431161.2020.1763506
