Julianne Oliveira

I am an researcher in remote sensing applied to crops, especially forage crops. My research integrates expertise in geosciences, remote sensing and modelling to advance applied science that supports farmers and stakeholders in making informed decisions. My goal is to enhance understanding of spatial and temporal variations in crop growth conditions and their impacts on management practices.

Actively involved in research activities to develop methodologies to use various satellite, drone and handheld sensor-derived information to monitor and assess spatio-temporal variations in crop systems. Supervisor of postdoctoral researchers and a co-supervisor for PhD students, focusing on remote sensing and modelling approaches for managing crops.

Involved in the design, reference data collections and methodology development of models to assess forage ley crops using remote sensing data.

Principal Investigator of several applied research projects in collaboration with industrial and international partners.

I am also involved in as data analyst for SITES (Swedish Infrastructure for Ecosystem Science) and SITES Röbäcksdalen Field Station (https://www.fieldsites.se/)

• Using drones in Agriculture - MOOC course, SLU (Course Leader)
• BI1339 10182 HT2024 – Experimental approaches in plant growth analysis and phenotyping, SLU 
• LB0120 VT2024 and VT2025 - The ecology of cropping systems, SLU
• ENM036 - Assessing sustainability: Assignments, Department Technology Management and Economics, Chalmers University of Technology (2022)
• FA665 Geotechnologies I, Faculty of Agricultural Engineering, University of Campinas (2020, 2021)
• FA054 Geotechnologies II, Faculty of Agricultural Engineering, University of Campinas (2020, 2021)
• FEG050 - Introduction to Remote Sensing and Image Processing with Google Earth Engine, Extecamp - University of Campinas (2021)

• Oliveira, J.; Karlson, M.; Ouedraogo, A.; Bazié, H.; Ostwald, M. (2025) Towards a Framework for Monitoring Crop Productivity in Agroforestry Parklands of the Sudano-Sahel Using Sentinel-1 and 2 Time Series. Remote Sensing Applications: Society and Environment. doi: https://doi.org/10.1016/j.rsase.2025.101494.
• Oliveira, J.; Morel J.; Haluska J.; Kanellakis C.; Tsimpidi I.; Nikolakopoulos G.; Parsons, D. (2024) Robotics on leys: An Unmanned Ground Vehicle to monitor forage grasslands. 30th General Meeting of the European Grassland Federation, 9-13 June, Leeuwarden.
• Oliveira, J.; Chagas, J.; Bernes, G.; Fant, P.; Angeard, E.; Morel, J.; Ramin, M. (2024) Spectroscopy for assessing the nutritional value of pastures and enteric methane emissions from dairy cows in northern Sweden. 30th General Meeting of the European Grassland Federation, 9-13 June, Leeuwarden.
• Oliveira, J. C.; Morel, J.; Peng, J.; Rustas, B-O.; Parson, D. (2023) Assessment of grassland forage quality in the context of Northern Europe agriculture using Sentinel-2. EARSeL Symposium 2023, Bucharest.
• Soares, J.R.; Souza, B.R.; Mazzetto, A.M.; Galdos, M.V.; Chadwick, D.R.; Campbell, E. E.; Jaiswal, D.; Oliveira, J.C.; Monteiro, L. A.; Vianna, M. S.; Lamparelli, R. A. C.; Figueiredo, G. K. D. A.; Sheehan, J. J.; Lynd, L. R. (2023) Mitigation of nitrous oxide emissions in grazing systems through nitrification inhibitors: a meta-analysis. Nutrient Cycling in Agroecosystems, 1-19, 2023. doi: 10.1007/s10705-022-10256-8.
• 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. (2022) Potential Use of Data-Driven Models to Estimate and Predict Soybean Yields at National Scale in Brazil. International Journal of Plant Production, 16 (4), 691-703. 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. (2020) 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. 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. (2019) Assessment of yield gaps on global grazed-only permanent pasture using climate binning. Global Change Biology, v.00. 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. (2018) 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. doi: 10.1016/j.rse.2018.11.002.
• 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. (2016) 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. doi: 10.1007/s12665-016-6042-2.

• Sanna Bergqvist – PhD student – Department of Crop Production Ecology, SLU (Co-supervisor)
• Electra Lennartsson – PhD student – Department of Crop Production Ecology, SLU (Co-supervisor)
• Alessandro Farbo – PhD student – University of Turin (Supervisor of Visiting Study Period at SLU)
• Johanna Forss – Master student – Department of Crop Production Ecology, SLU (Supervisor)
• Markus Lindberg – Master student – Department of Crop Production Ecology, SLU (Co-supervisor)
• Sarah Vecchietti – Bachelor student – Department of Crop Production Ecology, SLU (Co-supervisor)
• Louka Bertolino – Bachelor student – Department of Crop Production Ecology, SLU (Co-supervisor)