Jamis Bruening

Bio

Jamis is a spatial ecologist and postdoc researcher in the Dubayah lab and part of the GEDI team. His research merges remotely sensed forest structure information with ground-based inventory data for forest attribute prediction, estimation, and mapping. He also pairs forest gap models with airborne and spaceborne lidars to explore successional and biophysical dynamics at the stand- and community-levels.

Jamis contributes to GEDI's L4B global biomass mapping products and algorithms. He has developed innovations for GEDI biomass prediction and estimation, and supports a range of related efforts for the mission.  He also leads UMD's research in succession-related forest attribute mapping, in collaboration with government agencies and other academic institutions.

Prior to his current position, Jamis completed his PhD research, which explored the ability to leverage GEDI's forest structure measurements for insights into temporal forest dynamics throughout the eastern US.  Before that, his MS work involved spatial topoclimate modeling of bristlecone pine (Pinus longaeva) treeline communities throughout the Great Basin, US.

Degrees

  • Ph.D. 2024, Geographical Sciences, University of Maryland

  • M.Sc. 2016, Environmental Science, Western Washington University

  • B.A. 2013, Physics and Geography, Colgate University

Areas of Interest

  • Forest dynamics and succession
  • Biomass mapping
  • Ecosystem modeling
  • Spatial modeling
  • Topoclimate