معرفی
Professor Kevin Tansey is a Professor of Remote Sensing at the University of Leicester's School of Geography, Geology & The Environment. His work focuses on advancing Earth observation techniques for environmental monitoring, including drought forecasting, peatland hydrology, wildfire science, and agricultural yield estimation. He specializes in integrating satellite data (Sentinel, MODIS, Landsat) with machine learning to address global challenges like climate change and ecosystem degradation.
Research interests span remote sensing applications in agriculture, forest ecology, and hydrology. Key areas include developing fusion frameworks for multisensor data, improving crop yield models using deep learning, and quantifying peatland subsidence through InSAR techniques. He leads projects like ESA’s WorldPeatland initiative for global peatland mapping and collaborates on wildfire research across historically and emerging fire-prone regions.
Publications highlight innovations in vegetation stress indices (VTCI), evapotranspiration datasets, and oil spill detection in tropical forests. His work bridges technical advancements (e.g., transformer networks, CNN-Transformer hybrids) with practical applications for sustainability. Current efforts emphasize enhancing global burned area mapping and improving biomass estimation in African savannahs through machine learning-driven feature selection.
- Key Projects: ESA WorldPeatland, GLOBBIOMASS, Fire_cci
- Technical Expertise: SAR/InSAR, hyperspectral imaging, deep learning frameworks
- Global Collaboration: Partnerships in China, Malaysia, Ecuador, and Africa
Grants and funding support interdisciplinary approaches to climate change impacts, including carbon storage quantification and loss-and-damage analysis. His lab develops open-source tools like the Pyeo package for near-real-time forest cover change detection.
