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  • (-) WSL Authors = Ginzler, Christian
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Advancing forest inventorying and monitoring
Ferretti, M., Fischer, C., Gessler, A., Graham, C., Meusburger, K., Abegg, M., … Shackleton, R. T. (2024). Advancing forest inventorying and monitoring. Annals of Forest Science, 81(1), 6 (25 pp.). https://doi.org/10.1186/s13595-023-01220-9
Countrywide classification of permanent grassland habitats at high spatial resolution
Huber, N., Ginzler, C., Pazur, R., Descombes, P., Baltensweiler, A., Ecker, K., … Price, B. (2023). Countrywide classification of permanent grassland habitats at high spatial resolution. Remote Sensing in Ecology and Conservation, 9(1), 133-151. https://doi.org/10.1002/rse2.298
Drying conditions in Switzerland – indication from a 35-year Landsat time-series analysis of vegetation water content estimates to support SDGs
Poussin, C., Massot, A., Ginzler, C., Weber, D., Chatenoux, B., Lacroix, P., … Giuliani, G. (2021). Drying conditions in Switzerland – indication from a 35-year Landsat time-series analysis of vegetation water content estimates to support SDGs. Big Earth Data, 5(4), 445-475. https://doi.org/10.1080/20964471.2021.1974681
Spatial modelling of ecological indicator values improves predictions of plant distributions in complex landscapes
Descombes, P., Walthert, L., Baltensweiler, A., Meuli, R. G., Karger, D. N., Ginzler, C., … Zimmermann, N. E. (2020). Spatial modelling of ecological indicator values improves predictions of plant distributions in complex landscapes. Ecography, 43(10), 1448-1463. https://doi.org/10.1111/ecog.05117
Comparing historical and contemporary maps - a methodological framework for a cartographic map comparison applied to Swiss maps
Loran, C., Haegi, S., & Ginzler, C. (2018). Comparing historical and contemporary maps - a methodological framework for a cartographic map comparison applied to Swiss maps. International Journal of Geographical Information Science, 32(11), 2123-2139. https://doi.org/10.1080/13658816.2018.1482553
Forest-structure data improve distribution models of threatened habitat specialists: Implications for conservation of epiphytic lichens in forest landscapes
Dymytrova, L., Stofer, S., Ginzler, C., Breiner, F. T., & Scheidegger, C. (2016). Forest-structure data improve distribution models of threatened habitat specialists: Implications for conservation of epiphytic lichens in forest landscapes. Biological Conservation, 196, 31-38. https://doi.org/10.1016/j.biocon.2016.01.030
Using remote-sensing data to assess habitat selection of a declining passerine at two spatial scales
Huber, N., Kienast, F., Ginzler, C., & Pasinelli, G. (2016). Using remote-sensing data to assess habitat selection of a declining passerine at two spatial scales. Landscape Ecology, 31(9), 1919-1937. https://doi.org/10.1007/s10980-016-0370-1
Evaluating forest transition based on a multi-scale approach: forest area dynamics in Switzerland 1850–2000
Loran, C., Ginzler, C., & Bürgi, M. (2016). Evaluating forest transition based on a multi-scale approach: forest area dynamics in Switzerland 1850–2000. Regional Environmental Change, 16(6), 1807-1818. https://doi.org/10.1007/s10113-015-0911-1
Countrywide stereo-image matching for updating digital surface models in the framework of the Swiss National Forest Inventory
Ginzler, C., & Hobi, M. L. (2015). Countrywide stereo-image matching for updating digital surface models in the framework of the Swiss National Forest Inventory. Remote Sensing, 7(4), 4343-4370. https://doi.org/10.3390/rs70404343
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