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 Carbon Cycle And Ecosystems: People
Fabian  Schneider's Picture
Address:
Jet Propulsion Laboratory
M/S 233-300
4800 Oak Grove Drive
Pasadena, CA 91109
Phone:
818-354-1129
Curriculum Vitae:

Fabian Schneider

I’m a postdoc in the Carbon Cycle and Ecosystems group at the Jet Propulsion Laboratory. I’m interested in characterizing vegetation through the measurement of plant functional traits and trait diversity to study the impact of global change on plant health as well as ecosystem productivity and stability. To measure, monitor and predict vegetation change, my main focus lies on combining imaging spectroscopy and laser scanning measurements at different scales (terrestrial, airborne, spaceborne measurements), and integrating it with physically based models (e.g. ED2 for vegetation dynamics, DART for radiative transfer).


Education
  • PhD (2018), Remote Sensing Laboratories, URPP GCB, University of Zurich, Switzerland.
  • MSc (2013), Department of Geography, University of Zurich, Switzerland.
  • BSc (2011), Department of Geography, University of Zurich, Switzerland.

Research Interests
  • Remote sensing of forest ecosystems, plant functional traits and functional diversity
  • Fusion of imaging spectroscopy and laser scanning
  • Forest ecology and ecosystem dynamics
  • Biosphere-atmosphere interactions, including the interaction of radiation with the vegetation canopy

Professional Experience

Teaching assistant, Department of Geography, University of Zurich, Switzerland, 2013-2018.


Selected Publications
  1. Schneider, F.D., Ferraz, A., Hancock, S., Duncanson, L.I., Dubayah, R.P., Pavlick, R.P., & Schimel, D.S. (2020). Towards mapping the diversity of canopy structure from space with GEDI. Environmental Research Letters.https://doi.org/10.1088/1748-9326/ab9e99
  2. Morsdorf, F., Schneider, F.D.., Guillén-Escribà, C., Kükenbrink, D., Leiterer, R., & Schaepman, M.E. (2020). The Laegeren Site: An Augmented Forest Laboratory. In J. Cavender-Bares, J.A. Gamon & P.A. Townsend (Eds.). Remote Sensing of Plant Biodiversity (pp. 83-104). https://doi.org/10.1007/978-3-030-33157-3_4
  3. Czyż, E.A., Guillen Escriba, C., Wulf, H., Tedder, A., Schuman, M.C.,Schneider, F.D., & Schaepman, M.E. (2020). Intraspecific genetic variation of a Fagus sylvatica population in a temperate forest derived from airborne imaging spectroscopy time series. Ecology and Evolution, 10 (14), 7419-7430. https://doi.org/10.1002/ece3.6469
  4. Paul-Limoges, E., Wolf, S., Schneider, F.D., Longo, M., Moorcroft, P., Gharun, M., & Damm, A. (2020). Partitioning evapotranspiration with concurrent eddy covariance measurements in a mixed forest. Agricultural and Forest Meteorology, 280, 107786. https://doi.org/10.1016/j.agrformet.2019.107786
  5. Thonicke, K., Billing, M., Bloh, W., Sakschewski, B., Niinemets, Ü., Peñuelas, J., Cornelissen, J.H.C., Onoda, Y., van Bodegom, P., Schaepman, M.E., Schneider, F.D., & Walz, A. (2020). Simulating functional diversity of European natural forests along climatic gradients. Journal of Biogeography, 47 (5), 1069-1085. https://doi.org/10.1111/jbi.13809
  6. Schneider, F.D., A. Ferraz, & Schimel, D. (2019). Watching Earth's interconnected systems at work, EOS, 100. https://doi.org/10.1029/2019EO136205
  7. Schneider, F.D., Kükenbrink, D., Schaepman, M. E., Schimel, D. S., & Morsdorf, F. (2019). Quantifying 3D structure and occlusion in dense tropical and temperate forests using close-range LiDAR. Agricultural and Forest Meteorology, 268, 249-257. https://doi.org/10.1016/j.agrformet.2019.01.033
  8. Schimel, D., Schneider, F.D., & JPL Carbon and Ecosystem Participants (2019). Flux towers in the sky: global ecology from space. New Phytologist, 224 (2), 570-584. https://doi.org/10.1111/nph.15934
  9. Kükenbrink, D., Hueni, A., Schneider, F.D., Damm, A., Gastellu-Etchegorry, J.-P., Schaepman, M. E., & Morsdorf, F. (2019). Mapping the Irradiance Field of a Single Tree: Quantifying Vegetation-Induced Adjacency Effects. IEEE Transactions on Geoscience and Remote Sensing, 57 (7), 4994-5011. https://doi.org/10.1109/TGRS.2019.2895211
  10. Damm, A., Paul-Limoges, E., Haghighi, E., Simmer, C., Morsdorf, F.,Schneider, F.D., van der Tol, C., Migliavacca, M., & Rascher, U. (2018). Remote sensing of plant-water relations: An overview and future perspectives. Journal of Plant Physiology, 227, 3-19. https://doi.org/10.1016/j.jplph.2018.04.012
  11. Fawcett, D., Verhoef, W., Schläpfer, D.,Schneider, F.D., Schaepman, M. E., & Damm, A. (2018). Advancing retrievals of surface reflectance and vegetation indices over forest ecosystems by combining imaging spectroscopy, digital object models, and 3D canopy modelling. Remote Sensing of Environment, 204, 583-595. https://doi.org/10.1016/j.rse.2017.09.040
  12. Morsdorf, F., Kükenbrink, D., Schneider, F.D., Abegg, M., & Schaepman, M. E. (2018). Close-range laser scanning in forests: towards physically based semantics across scales. Interface Focus, 8(2), 20170046. https://doi.org/10.1098/rsfs.2017.0046
  13. Schneider, F.D., Morsdorf, F., Schmid, B., Petchey, O. L., Hueni, A., Schimel, D. S., & Schaepman, M. E. (2017). Mapping functional diversity from remotely sensed morphological and physiological forest traits. Nature Communications, 8 (1), 1441. https://doi.org/10.1038/s41467-017-01530-3
  14. Yamasaki, E., Altermatt, F., Cavender-Bares, J., Schuman, M. C., Zuppinger-Dingley, D., Garonna, I.,Schneider, F.D., Guillén Escribà, C., van Moorsel, S.J., Hahl, T., Schmid, B., Schaepman-Strub, G., Schaepman, M.E., & Shimizu, K. K. (2017). Genomics meets remote sensing in global change studies: monitoring and predicting phenology, evolution and biodiversity. Current Opinion in Environmental Sustainability, 29, 177-186. https://doi.org/10.1016/j.cosust.2018.03.005
  15. Morsdorf, F., Eck, C., Zgraggen, C., Imbach, B.,Schneider, F.D., & Kükenbrink, D. (2017). UAV-based LiDAR acquisition for the derivation of high-resolution forest and ground information. Leading Edge, 36 (7), 566-570. https://doi.org/10.1190/tle36070566.1
  16. Kükenbrink, D.,Schneider, F.D., Leiterer, R., Schaepman, M. E., & Morsdorf, F. (2017). Quantification of hidden canopy volume of airborne laser scanning data using a voxel traversal algorithm. Remote Sensing of Environment, 194, 424-436. https://doi.org/10.1016/j.rse.2016.10.023
  17. Jetz, W., Cavender-Bares, J., Pavlick, R., Schimel, D., Davis, F. W., Asner, G. P., Guralnick, R., Kattge, J., Latimer, A.M., Moorcroft, P., Schaepman, M.E., Schildhauer, P.,Schneider, F.D., Schrodt, F., Stahl, U. & Ustin, S. L. (2016). Monitoring plant functional diversity from space. Nature Plants, 2 (3), 16024. https://doi.org/10.1038/nplants.2016.24
  18. Schaepman, M.E., Jehle, M., Hueni, A., D'Odorico, P., Damma, A., Weyermann, J., Schneider, F.D., Laurent, V., Popp, C., Seidel, F.C., Lenhard, K., Gege, P., Küchler, C., Brazile, J., Kohler, P., De Vos, L., Meuleman, K., Meynart, R., Schläpfer, D., Kneubühler, M. & Itten, K.I. (2015). Advanced radiometry measurements and Earth science applications with the Airborne Prism Experiment (APEX). Remote Sensing of Environment, 158 (1), 207-219. https://doi.org/10.1016/j.rse.2014.11.014
  19. Schneider, F.D., Leiterer, R., Morsdorf, F., Gastellu-Etchegorry, J.-P., Lauret, N., Pfeifer, N., & Schaepman, M. E. (2014). Simulating imaging spectrometer data: 3D forest modeling based on LiDAR and in situ data. Remote Sensing of Environment, 152, 235-250. https://doi.org/10.1016/j.rse.2014.06.015

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