| 1 | ΕΟ change detection for improved grassland monitoring | 2025-02-13 | | The primary goal of this training is to equip participants with both theoretical knowledge and practical skills to detect changes in grasslands using Earth Observation (EO) data. The workshop will focus on both threshold-based and Machine Learning (ML) approaches to assess activities such as grazing and mowing, and their impacts on plant biomass and ecosystem health. In addition, participants will be introduced to more advanced Artificial Intelligence (AI) techniques and architectures within the broader framework of change detection using EO data. By the end of the session, participants will have a solid understanding of how to analyze satellite imagery, implement ML models, and interpret the results for practical decision-making in the sustainable management of grasslands. | ● An overview of the theoretical background on grassland monitoring using EO data ● Data analytics and pre-processing of the available EO data ● Exploring vegetation indices (e.g., NDVI, EVI) to assess plant biomass ● Implementing threshold-based or supervised Machine Learning models for change detection ● Post-processing and interpreting results for real-world application ● Q&A and feedback session | 5-6 | | /uploads/Capacity Building activity Grasssland Mowing 2025.docx | AgriHub |