Parinaz Rahimzadeh-Bajgiran
Expertise
๐ก Climate change, ๐Data science, ๐ Environmental sciences, ๐ฒ Forests
Rahimzadeh employs remote sensing and geospatial analysis to assess and forecast forest health and productivity under varying conditions (e.g. disturbance, drought, spruce budworm defoliation). Her current projects aim to address sustainable forest management issues and forest site productivity modeling. She is also involved with projects focused on multi-temporal remote sensing and geo-spatial analysis of landscape dynamics and itโs consequences on peopleโs livelihoods and ecosystem services. Visit Rahimzadeh’s biography to learn more.
Appointment details
Rahimzadehโs work is supported by:
- School of Forest Resources at the College of Natural Sciences, Forestry and Agriculture
- Maine Agricultural and Forest Experiment Station
Experiment Station contributions
- Current project: Remote Sensing and Geo-spatial Approaches for Forest Health Assessment and Mapping. McIntire-Stennis project number ME042119.