Chris Mulverhill

Chris Mulverhill is a researcher specializing in the use of remote sensing datasets to inform forest management and enhance the understanding of ecological processes. Typically, this means using lidar or photogrammetric data to estimate forest attributes at a variety of spatial and temporal scales. While at the University of British Columbia, his doctoral research focused on using three-dimensional point clouds from these data sources to augment conventional forest inventories. At JPL, Chris is a Postdoctoral Researcher working on calibration and validation of biomass products for the upcoming NISAR satellite mission. To do this, he and the rest of the team use a combination of in situ measurements and lidar data to generate estimates of aboveground biomass at field sites around the world. Once in orbit, the satellite will rely on biomass estimates at these sites to calibrate and validate global biomass products.

 


Education: 
  • PhD (2020) Forestry, University of British Columbia (Vancouver, BC)
  • BS (2016) Environmental Science, University of Oregon (Eugene, OR)

Research Interests: 
  • Remote sensing of forest attributes and processes
  • Lidar and photogrammetry
  • Global environmental change

Professional Experience: 
  • JPL Postdoctoral Fellow (January 2021 – present)
  • Graduate Teaching and Research Assistant, University of British Columbia (2016 – 2020)
  • Research Assistant, University of Oregon (2016)


Selected Publications: 
  1. Mulverhill, C., Coops, N. C., White, J. C., Tompalski, P., & Marshall, P. L. Structural development following stand-replacing disturbance in a boreal mixedwood forest. Forest Ecology and Management, 453, 117586 (2019). doi.org/10.1016/j.foreco.2019.117586
  2. Mulverhill C., Coops, N.C., White, J.C., Tompalski, P., Marshall, P.L., Bailey, T. Enhancing the Estimation of Stem-Size Distributions for Unimodal and Bimodal Stands in a Boreal Mixedwood Forest with Airborne Laser Scanning Data. Forests. 9, 95 (2018). doi.org/10.3390/f9020095
  3. Zhang, Z.; Cao, L.; Mulverhill, C.; Liu, H.; Pang, Y.; Li, Z. Prediction of Diameter Distributions with Multimodal Models Using LiDAR Data in Subtropical Planted Forests. Forests. 10, 125 (2019). doi.org/10.3390/f10020125
  4. Mulverhill, C., Coops, N.C., Tompalski, P. Bater, C.W., Dick, A.R. The utility of terrestrial photogrammetry for assessment of tree volume and taper in boreal mixedwood forests. Annals of Forest Science 76, 83 (2019). doi.org/10.1007/s13595-019-0852-9
Chris Mulverhill
Address: 
4800 Oak Grove Drive
Pasadena, CA 91109