Fonte: Remote Sensing of Environment. Unidade: ESALQ
Assuntos: APRENDIZADO COMPUTACIONAL, CARBONO, ESPECTROSCOPIA INFRAVERMELHA, IMAGEAMENTO DE SATÉLITE, MAPEAMENTO DO SOLO, MONITORAÇÃO DOS SOLOS, SENSORIAMENTO REMOTO
ABNT
HONG, Yongsheng et al. Bridging the gap between laboratory VNIR-SWIR spectra and Landsat-8 bare soil composite image for soil organic carbon prediction. Remote Sensing of Environment, v. 328, p. 1-24, 2025Tradução . . Disponível em: https://doi.org/10.1016/j.rse.2025.114874. Acesso em: 13 out. 2025.APA
Hong, Y., Chen, Y., Chen, S., Wang, Y., Hu, W., Ye, S., et al. (2025). Bridging the gap between laboratory VNIR-SWIR spectra and Landsat-8 bare soil composite image for soil organic carbon prediction. Remote Sensing of Environment, 328, 1-24. doi:10.1016/j.rse.2025.114874NLM
Hong Y, Chen Y, Chen S, Wang Y, Hu W, Ye S, Song X, Liu F, Zhao Y, Demattê JAM, Shi L, Shen H, Shi Z, Zhang G, Liu Y. Bridging the gap between laboratory VNIR-SWIR spectra and Landsat-8 bare soil composite image for soil organic carbon prediction [Internet]. Remote Sensing of Environment. 2025 ; 328 1-24.[citado 2025 out. 13 ] Available from: https://doi.org/10.1016/j.rse.2025.114874Vancouver
Hong Y, Chen Y, Chen S, Wang Y, Hu W, Ye S, Song X, Liu F, Zhao Y, Demattê JAM, Shi L, Shen H, Shi Z, Zhang G, Liu Y. Bridging the gap between laboratory VNIR-SWIR spectra and Landsat-8 bare soil composite image for soil organic carbon prediction [Internet]. Remote Sensing of Environment. 2025 ; 328 1-24.[citado 2025 out. 13 ] Available from: https://doi.org/10.1016/j.rse.2025.114874