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  • (-) Eawag Departments = Surface Waters Research and Management SURF
  • (-) Publication Year = 2022
  • (-) Eawag Authors = Odermatt, Daniel
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Whiting events in a large peri-alpine lake: evidence of a catchment-scale process
Escoffier, N., Perolo, P., Lambert, T., Rüegg, J., Odermatt, D., Adatte, T., … Perga, M. E. (2022). Whiting events in a large peri-alpine lake: evidence of a catchment-scale process. Journal of Geophysical Research G: Biogeosciences, 127(4), e2022JG006823 (21 pp.). https://doi.org/10.1029/2022JG006823
Regime shifts, trends, and variability of lake productivity at a global scale
Gilarranz, L. J., Narwani, A., Odermatt, D., Siber, R., & Dakos, V. (2022). Regime shifts, trends, and variability of lake productivity at a global scale. Proceedings of the National Academy of Sciences of the United States of America PNAS, 119(35), e2116413119 (6 pp.). https://doi.org/10.1073/pnas.2116413119
Non-photochemical quenching estimates from in situ spectroradiometer measurements: implications on remote sensing of sun-induced chlorophyll fluorescence in lakes
Gupana, R. S., Damm, A., Rahaghi, A. I., Minaudo, C., & Odermatt, D. (2022). Non-photochemical quenching estimates from in situ spectroradiometer measurements: implications on remote sensing of sun-induced chlorophyll fluorescence in lakes. Optics Express, 30(26), 46762-46781. https://doi.org/10.1364/OE.469402
Coupling remote sensing and particle tracking to estimate trajectories in large water bodies
Li, C., Odermatt, D., Bouffard, D., Wüest, A., & Kohn, T. (2022). Coupling remote sensing and particle tracking to estimate trajectories in large water bodies. International Journal of Applied Earth Observation and Geoinformation, 110, 102809 (10 pp.). https://doi.org/10.1016/j.jag.2022.102809
Long-term spatiotemporal variability of whitings in Lake Geneva from multispectral remote sensing and machine learning
Many, G., Escoffier, N., Ferrari, M., Jacquet, P., Odermatt, D., Mariethoz, G., … Perga, M. E. (2022). Long-term spatiotemporal variability of whitings in Lake Geneva from multispectral remote sensing and machine learning. Remote Sensing, 14(23), 6175 (20 pp.). https://doi.org/10.3390/rs14236175
A Bayesian approach for remote sensing of chlorophyll-<em>a</em> and associated retrieval uncertainty in oligotrophic and mesotrophic lakes
Werther, M., Odermatt, D., Simis, S. G. H., Gurlin, D., Lehmann, M. K., Kutser, T., … Spyrakos, E. (2022). A Bayesian approach for remote sensing of chlorophyll-a and associated retrieval uncertainty in oligotrophic and mesotrophic lakes. Remote Sensing of Environment, 283, 113295 (27 pp.). https://doi.org/10.1016/j.rse.2022.113295
Characterising retrieval uncertainty of chlorophyll-<em>a</em> algorithms in oligotrophic and mesotrophic lakes and reservoirs
Werther, M., Odermatt, D., Simis, S. G. H., Gurlin, D., Jorge, D. S. F., Loisel, H., … Spyrakos, E. (2022). Characterising retrieval uncertainty of chlorophyll-a algorithms in oligotrophic and mesotrophic lakes and reservoirs. ISPRS Journal of Photogrammetry and Remote Sensing, 190, 279-300. https://doi.org/10.1016/j.isprsjprs.2022.06.015