3MSI Lab

The 3MSI Lab is a research entity dedicated to 3-D modeling, sensing, and data intelligence within the geospatial domain. Their work encompasses developing sophisticated methodologies for analyzing Earth's surface and vegetation dynamics.

Recent activities include a call for abstracts for AOGS 2025 on the remote sensing of terrestrial vegetation, highlighting their engagement in the broader scientific community. The lab also released "FoScenes," a significant large-scale and high-fidelity 3-D voxel-based forest plant area density product derived from open-access airborne LiDAR data, specifically from NASA Goddard’s G-LiHT instrument. This product provides 40 seamless scenes across 28 diverse forest sites.

The lab actively seeks talent, with recent openings for Postdoctoral Fellows, PhD students, and Research Assistants focusing on areas such as fusion algorithms combining photogrammetry and LiDAR, monitoring urban vegetation phenology using LiDAR, and 3-D radiative transfer modeling. Their research also extends to publishing on topics like forest canopy surface model retrievals from spaceborne stereogrammetry in journals like Remote Sensing of Environment (RSE).