Jan U.H. Eitel
Jan U.H. Eitel, Ph.D.
McCall Field Campus
Department of Natural Resources and Society
University of Idaho
875 Perimeter Drive MS 1139
Moscow, ID 83844-1139
- Ph.D. Natural Resources, University of Idaho
- M.S. Forest Resources, University of Idaho
- Pregraduate Degree Forest Ecology and Management, University of Freiburg i.Br./Germany
** 88 total refereed publications as of March 2023
*denotes student author
Eitel, J.U.H., Griffin, K.L., Boelman, N.T., Maguire, A.J.*, Meddens, A.J., Jensen*, J., Vierling, L.A., Schmiege, S.C.* and Jennewein, J.S.*, 2020. Remote sensing tracks daily radial wood growth of evergreen needleleaf trees. Global change biology, 26(7), pp.4068-4078.
Maguire, A.J.*, Eitel, J.U.H., Griffin, K.L., Magney, T.S., Long, R.A., Vierling, L.A., Schmiege, S.C.*, Jennewein, J.S.*, Weygint, W.A.*, Boelman, N.T. and Bruner, S.G.*, 2020. On the functional relationship between fluorescence and photochemical yields in complex evergreen needleleaf canopies. Geophysical Research Letters, 47(9), p.e2020GL087858.
Eitel, J.U.H., Maguire, A.J.*, Boelman, N., Vierling, L.A., Griffin, K.L., Jensen, J.*, Magney, T.S., Mahoney, P.J., Meddens, A.J., Silva, C. and Sonnentag, O., 2019. Proximal remote sensing of tree physiology at northern treeline: Do late-season changes in the photochemical reflectance index (PRI) respond to climate or photoperiod?. Remote sensing of environment, 221, pp.340-350.
Eitel, J.U.H., Höfle, B., Vierling, L.A., Abéllan, A., Asner, G., Deems, J.S., Blennie, C., Joerg, P.C., LeWinter, A., Magney, T.S.*, Mandlburger, G., Morton, D., Müller, J., Vierling, K. 2016. Beyond 3-D: the new spectrum of lidar applications for Earth and Ecological sciences. Remote Sensing of Environment, 186, 372-392.
Mahoney, P.J., Liston, G.E., LaPoint, S., Gurarie, E., Mangipane, B., Wells, A.G., Brinkman, T.J., Eitel, J.U.H., Hebblewhite, M., Nolin, A.W. and Boelman, N., 2018. Navigating snowscapes: scale‐dependent responses of mountain sheep to snowpack properties. Ecological Applications.
Eitel, J.U.H., Vierling, L.A., Litvak, M.E., Long, D.S., Schulthess, U., Ager, A.A., Krofcheck, D.J.*, Stoscheck, L.* 2011. Broadband, red-edge information from satellites improves early stress detection in a New Mexico conifer woodland. Remote Sensing of Environment, 115, 3640-3646.
Eitel, J.U.H., Williams, C.J., Vierling, L.A., Al-Hamdan, O.Z., Pierson, F.B. 2011. Suitability of terrestrial laser scanning for studying surface roughness effects on concentrated flow erosion processes in rangelands. Catena, 87, 398-407.
Smith, A.M.S., Eitel, J.U.H., and Hudak, A.T. 2010. Spectral Analysis of Charcoal on Soils: Implications for Wildland Fire Severity Mapping Methods. International Journal of Wildland Fire, 19: 976-983.
Eitel, J.U.H., Gessler, P.E., Smith, A.M.S. and Robberecht, R., 2006. Suitability of existing and novel spectral indices to remotely detect water stress in Populus spp. Forest Ecology and Management, 229: 170 -182.
2022 Fellowship award from the Swiss Federal institute for Snow, Forest, and Landscape (February 2022 – July 2022)
2021 Donald Crawford Graduate Faculty Mentoring Award, University of Idaho
2020 Outstanding Faculty Advisor award, College of Natural Resources, University of Idaho
2017 Outstanding researcher award (faculty nominated), College of Natural Resources, University of Idaho
2017 Outstanding teacher award (student nominated), College of Natural Resources, University of Idaho
Current research projects
- LiDAR, passive spectral, and ecophysiological approaches to link Forest Tundra Ecotone structure and function. NASA Terrestrial Ecology
- ITEST: Building STEM Identify in Native American Students with UAV Technology. National Science Foundation
- Animals on the move: Remotely based determination of key drivers influencing movements and habitat selection of highly mobile fauna throughout the ABoVE study domain. NASA Terrestrial Ecology
As a faculty member at the University of Idaho’s McCall Outdoor Science School (MOSS), I am actively involved in the development of lesson plans and curricula that reach a total of 2500 K-12 students and 200 teachers annually that come through the UI MOSS program.