Dainius Masiliunas

dainius masiliunas is a researcher at the Laboratory of Geo-information Science and Remote Sensing at Wageningen University. He holds a PhD in remote sensing and focuses on land cover dynamics, time series analysis, and environmental monitoring using satellite data. His work includes developing algorithms like DRMAT and BFAST for detecting breakpoints in multispectral time series and global land cover change detection.

• Education:
  • PhD in Geo-information Science and Remote Sensing, Wageningen University (2024)

His research interests revolve around integrating advanced time-series techniques with remote sensing data to monitor environmental changes. He has contributed to projects like WorldCover (CGLOPS) and developed tools for land cover fraction mapping using Markov chains. Recent activities include delivering tutorials on time-series processing and presenting at international conferences like IEEE IGARSS.

He co-created the CY-Bench dataset for crop yield forecasting and collaborated on the Diurnal UAV-based sun-induced chlorophyll fluorescence dataset. His current work emphasizes global-scale monitoring and improving algorithms for detecting land cover disturbances.

dainius has led projects as principal investigator and contributed to initiatives like automated global land cover disturbance monitoring using BFAST Lite. His research bridges computational methods with ecological applications, aiming to support climate change and land management studies.