Active Filters

  • (-) WSL Authors = Zimmermann, Niklaus E.
  • (-) Journal = Forest Ecology and Management
Search Results 1 - 5 of 5
  • RSS Feed
Select Page
Combining ensemble modeling and remote sensing for mapping individual tree species at high spatial resolution
Engler, R., Waser, L. T., Zimmermann, N. E., Schaub, M., Berdos, S., Ginzler, C., & Psomas, A. (2013). Combining ensemble modeling and remote sensing for mapping individual tree species at high spatial resolution. Forest Ecology and Management, 310, 64-73. https://doi.org/10.1016/j.foreco.2013.07.059
Estimating foliar biochemistry from hyperspectral data in mixed forest canopy
Huber, S., Kneubühler, M., Psomas, A., Itten, K., & Zimmermann, N. E. (2008). Estimating foliar biochemistry from hyperspectral data in mixed forest canopy. Forest Ecology and Management, 256(3), 491-501. https://doi.org/10.1016/j.foreco.2008.05.011
Understanding the low-temperature limitations to forest growth through calibration of a forest dynamics model with tree-ring data
Rickebusch, S., Lischke, H., Bugmann, H., Guisan, A., & Zimmermann, N. E. (2007). Understanding the low-temperature limitations to forest growth through calibration of a forest dynamics model with tree-ring data. Forest Ecology and Management, 246(2-3), 251-263. https://doi.org/10.1016/j.foreco.2007.04.030
Growth of Norway spruce (<em>Picea abies</em> L.) saplings in subalpine forests in Switzerland: does spring climate matter?
Cunningham, C., Zimmermann, N. E., Stöckli, V., & Bugmann, H. (2006). Growth of Norway spruce (Picea abies L.) saplings in subalpine forests in Switzerland: does spring climate matter? Forest Ecology and Management, 228(1-3), 19-32. https://doi.org/10.1016/j.foreco.2006.02.052
Sensitivity assessment on continuous landscape variables to classify a discrete forest area
Mathys, L., Ginzler, C., Zimmermann, N. E., Brassel, P., & Wildi, O. (2006). Sensitivity assessment on continuous landscape variables to classify a discrete forest area. Forest Ecology and Management, 229(1-3), 111-119. https://doi.org/10.1016/j.foreco.2006.03.012