Julianne Oliveira
Research
Research Interests:
- Remote Sensing (multispectral, hyperspectral, SAR and LiDAR data)
- Spatial Analysis and Monitoring
- Data science and Modeling
- Crop-Livestock systems
Selected publications
Monteiro, L. A.; Ramos, R. M.; Battisti, R.; Soares, J. R.; Oliveira, J. C., Figueiredo, G. K. D. A.; Lamparelli, R. A. C.; Nendel, C.; Lana, M. A. Potential Use of Data-Driven Models to Estimate and Predict Soybean Yields at National Scale in Brazil. International Journal of Plant Production, 2022. doi:10.1007/s42106-022-00209-0.
Oliveira, J. C.; Campbell, E. E.; Lamparelli, R. A. C.; Figueiredo, G. K. D. A.; Soares, J. R.; Jaiswal, D.; Monteiro, L. A.; Vianna, M. S.; Lynd, L. R.; Sheehan, J. J. Choosing pasture maps: An assessment of pasture land classification definitions and a case study of Brazil. International Journal of Applied Earth Observation and Geoinformation, v.93, 2020. doi: 10.1016/j.jag.2020.102205.
Monteiro, L. A.; Allee, A. M.; Campbell, E. E.; Lynd, L. R.; Soares, J. R.; Jaiswal, D.; Oliveira, J. C.; Santos Vianna, M.; Morishige, A. E.; Figueiredo, G. K. D. A.; Lamparelli, R. A. C.; Mueller, N. D.; Gerber, J.; Cortez, L. A. B.; Sheehan, J. J. Assessment of yield gaps on global grazed-only permanent pasture using climate binning. Global Change Biology, v.00, 2019. doi: 10.1111/gcb.14925.
Féret, J.-B.; le Maire, G.; Jay, S.; Berveiller, D.; Bendoula, R.; Hmimina, G.; Cheraiet, A.; Oliveira, J. C.; Ponzoni, F. J.; Solanki, T.; De Boissieu, F.; Chave, J.; Nouvellon, Y.; Porcar-Castell, A.; Proisy, C.; Soudani, K.; Gastellu-Etchegorry, J.-P.; Lefèvre-Fonollosa, M.-J. Estimating leaf mass per area and equivalent water thickness based on leaf optical properties: Potential and limitations of physical modeling and machine learning. Remote Sensing of Environment, v.231, 2018. doi: 10.1016/j.rse.2018.11.002.
Oliveira, J. C.; Feret, J-B.; Ponzoni, F. J.; Nouvellon, Y.; Gastellu-Etchegorry, J-P.; Campoe, O. C; Stape, J. L.; Rodriguez, L. C. E.; le Maire, G. Simulating the Canopy Reflectance of Different Eucalypt Genotypes with the DART 3-D Model. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, v.10, 2017. doi: 10.1109/jstars.2017.2690000.
Dematte, J. A. M.; Oliveira, J. C.; Tavares, T. R.; Ramirez Lopez, L.; Terra, F. S.; Araujo, S. R.; Fongaro, C. T.; Maia, S. M. F.; Mello, F. F. C.; Rizzo, R.; Vicente, S. Soil chemical alteration due to slaughterhouse waste application as identified by spectral reflectance in São Paulo State, Brazil: an environmental monitoring useful tool. Environmental Earth Sciences, v.75, 2016. doi: 10.1007/s12665-016-6042-2.