Source: Remote Sensing of Environment. Unidade: ESALQ
Subjects: APRENDIZADO COMPUTACIONAL, CARBONO, ESPECTROSCOPIA INFRAVERMELHA, IMAGEAMENTO DE SATÉLITE, MAPEAMENTO DO SOLO, MONITORAÇÃO DOS SOLOS, SENSORIAMENTO REMOTO
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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: 05 maio 2026.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 2026 maio 05 ] 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 2026 maio 05 ] Available from: https://doi.org/10.1016/j.rse.2025.114874
