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Ensmingerlab

We are hiring Postdocs and grad students

4 Postdoc and 5 PhD student positions studying structure and function of trees using drone-based remote sensing The FastPheno project is soliciting applications for several postdoctoral and fully funded grad student positions. The project aims to develop and use the next generation high-throughput drone-based phenotyping platform and observe forest dynamics, identify trees resilient to climate …

We are hiring Postdocs and grad students Read More »

Redwood, sequoia, Ensmingerlab

New Publication co-authored by Chris, Ingo in PNAS

Chris and Ingo collaborated with colleagues from the University of North Carolina, University of Maryland, Baltimore County, University of Barcelona, NASA and the U.S. Forest Service on a project aiming to assess phenology in conifers using remote sensing. On Monday their findings were published in the Proceedings of the National Academy of Sciences:
Gamon JA, Huemmrich KF, Wong CYS, Ensminger I, Garrity S, Hollinger DY, Noormets A, Peñuelas J (2016) A remotely sensed pigment index reveals photosynthetic phenology in evergreen conifers PNAS 113, 1387-1392. doi:10.1073/pnas.1606162113
https://www.pnas.org/content/pnas/113/46/13087.full.pdf