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The Wheatland Geospatial Lab (WGL) in the School of Forest Resources at the University of Maine is conducting research at the forefront of Enhanced Forest Inventory (EFI) applications using cutting-edge remote sensing technologies and methodologies. Here, we present our current findings and future opportunities in co-producing and stakeholder-sharing machine-learning models of EFI attributes using multispectral and LiDAR data sets acquired from drones, airplanes, and satellites and calibrated with high quality ground information collected with\ strategic sample plot designs. We discuss how we are expanding the scope of this research with larger, NASA-funded projects for biomass mapping with spaceborne LiDAR and multi-data fusion for monitoring, reporting, and verification of forest carbon resources. Finally, we overview the suite of remote sensing tools, research applications, and stakeholder engagement activities provided by the WGL in service of the geospatial community in Maine and beyond.