معرفی
Emily Lines is a forest ecologist affiliated with the University of Cambridge, Department of Geography. She specializes in remote sensing (ground to satellite) and data science techniques to study forest structure, function, and dynamics. Her research addresses ecological and conservation questions, ranging from fundamental forest processes to applied challenges like climate change, deforestation, and forest management effectiveness.
- Department of Geography, University of Cambridge
- DLA Supervisor, Cambridge NERC Doctoral Landscape Awards
- Collaborator with geomorphologists, computer scientists, geneticists, and paleoecologists
Her group employs fieldwork using terrestrial and drone laser scanning, photogrammetry, and traditional forest mensuration. Methodologically, she integrates deep learning, computer vision, and computational modeling to analyze forests at multiple scales. Priority topics include biodiversity assessment, structural dynamics, competitive interactions, dieback/disease monitoring, microclimate effects, radiative transfer, and regeneration patterns.
- Key tools: Terrestrial LiDAR, TLS validation, PlotToSat, FOR-species20K dataset, Deadtrees.earth database
- Recent work spans 3D remote sensing benchmarking, AI applications in forest monitoring, and climate change impacts on European forests
Her publications highlight forest-landscape interactions, scalability of data science methods, and cross-disciplinary integration of ecological and computational approaches. She advocates for environmental sustainability in AI applications through initiatives like the C-CLEAR Doctoral Training Programme.
حوزههای پژوهشی
