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Ovidiu Csillik

Photo of Ovidiu Csillik


4800 Oak Grove Drive

Pasadena, CA 91109

Curriculum Vitae:

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Member of:

Carbon Cycle And Ecosystems

Employed By



Ovidiu is a JPL Postdoctoral Fellow working on estimating carbon fluxes in tropical forests. His research aims to propose new perspectives on the spatial and temporal dynamics of tropical forests using remotely sensed data and machine learning. His work at JPL is focused on airborne and spaceborne lidar measurements of forest structure.


  • PhD Geoinformatics (2018), University of Salzburg, Austria
  • MSc Geoinformatics (2013), West University of Timisoara, Romania
  • BSc Geography (2011), West University of Timisoara, Romania

Professional Experience

  • Postdoctoral Fellow, JPL (2022 – present)
  • Postdoctoral Researcher, Wageningen University and Research (2020-2021)
  • Postdoctoral Researcher, Carnegie Institution for Science, Stanford and Arizona State University (2018-2019)
  • Visiting Scholar, University of California, Berkeley (2017)

Research Interests

  • Remote sensing for environmental applications
  • Tropical forest monitoring

Selected Awards

  • Romanian Award of Excellence in Earth and Space Sciences for early career researchers (2020)
  • Best Romanian Graduate Student in Europe (2019)

Selected Publications

  1. Belgiu, M.; Bijker, W.; Csillik, O.; Stein, A. Phenology-Based Sample Generation for Supervised Crop Type Classification. Int. J. Appl. Earth Obs. Geoinf. 2021, 95, 102264, doi:10.1016/j.jag.2020.102264.
  2. Csillik, O.; Asner, G.P. Near-Real Time Aboveground Carbon Emissions in Peru. PLoS One 2020, 15, e0241418, doi:10.1371/journal.pone.0241418.
  3. Csillik, O.; Asner, G.P. Aboveground Carbon Emissions from Gold Mining in the Peruvian Amazon. Environ. Res. Lett. 2020, 15, 014006, doi:10.1088/1748-9326/ab639c.
  4. Csillik, O.; Kumar, P.; Asner, G.P. Challenges in Estimating Tropical Forest Canopy Height from Planet Dove Imagery. Remote Sensing 2020, 12, 1160, doi:10.3390/rs12071160.
  5. Csillik, O.; Kumar, P.; Mascaro, J.; O’Shea, T.; Asner, G.P. Monitoring Tropical Forest Carbon Stocks and Emissions Using Planet Satellite Data. Sci. Rep. 2019, 9, 17831, doi:10.1038/s41598-019-54386-6.
  6. Csillik, O.; Belgiu, M.; Asner, G.P.; Kelly, M. Object-Based Time-Constrained Dynamic Time Warping Classification of Crops Using Sentinel-2. Remote Sensing 2019, 11, 1257, doi:10.3390/rs11101257.
  7. Csillik, O.; Cherbini, J.; Johnson, R.; Lyons, A.; Kelly, M. Identification of Citrus Trees from Unmanned Aerial Vehicle Imagery Using Convolutional Neural Networks. Drones 2018, 2, 39, doi:10.3390/drones2040039.
  8. De Castro, A.I.; Torres-Sánchez, J.; Peña, J.M.; Jiménez-Brenes, F.M.; Csillik, O.; López-Granados, F. An Automatic Random Forest-OBIA Algorithm for Early Weed Mapping between and within Crop Rows Using UAV Imagery. Remote Sensing 2018, 10, 285, doi:10.3390/rs10020285.
  9. Belgiu, M.; Csillik, O. Sentinel-2 Cropland Mapping Using Pixel-Based and Object-Based Time-Weighted Dynamic Time Warping Analysis. Remote Sens. Environ. 2018, 204, 509–523, doi:10.1016/j.rse.2017.10.005.
  10. Csillik, O. Fast Segmentation and Classification of Very High Resolution Remote Sensing Data Using SLIC Superpixels. Remote Sensing 2017, 9, 243, doi:10.3390/rs9030243.
  11. Drăguţ, L.; Csillik, O.; Eisank, C.; Tiede, D. Automated Parameterisation for Multi-Scale Image Segmentation on Multiple Layers. ISPRS J. Photogramm. Remote Sens. 2014, 88, 119–127, doi:10.1016/j.isprsjprs.2013.11.018.