Mischa Hey has broad experience and technical skills in remote sensing analysis, in particular the development of feature extraction techniques using combined LiDAR and spectral datasets, including leveraging hyperspectral imagery to delineate land cover characterization of interest. He has been instrumental in developing processing workflows for specialty deliverables in unique landscapes, including hydro-flattening, intensity normalization, and point feature coding. Mischa has also been active in developing object-based image analysis techniques and tools for point cloud QA tool known as “LAS Monkey” as well as vegetation feature extraction and attribution. Mischa holds a MS in Wildlife and Fisheries Biology, University of Vermont and a BS in Natural Resource Management, University of Massachusetts.