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Remote sensing of solar-induced chlorophyll fluorescence (SIF) in vegetation: 50 years of progress
Mohammed, G. H., Colombo, R., Middleton, E. M., Rascher, U., van der Tol, C., Nedbal, L., … Zarco-Tejada, P. J. (2019). Remote sensing of solar-induced chlorophyll fluorescence (SIF) in vegetation: 50 years of progress. Remote Sensing of Environment, 231, 111177 (39 pp.). https://doi.org/10.1016/j.rse.2019.04.030
Are surface temperature and chlorophyll in a large deep lake related? An analysis based on satellite observations in synergy with hydrodynamic modelling and in-situ data
Bouffard, D., Kiefer, I., Wüest, A., Wunderle, S., & Odermatt, D. (2018). Are surface temperature and chlorophyll in a large deep lake related? An analysis based on satellite observations in synergy with hydrodynamic modelling and in-situ data. Remote Sensing of Environment, 209, 510-523. https://doi.org/10.1016/j.rse.2018.02.056
Advancing retrievals of surface reflectance and vegetation indices over forest ecosystems by combining imaging spectroscopy, digital object models, and 3D canopy modelling
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
Downscaling of solar-induced chlorophyll fluorescence from canopy level to photosystem level using a random forest model
Liu, X., Guanter, L., Liu, L., Damm, A., Malenovský, Z., Rascher, U., … Gastellu-Etchegorry, J. P. (2018). Downscaling of solar-induced chlorophyll fluorescence from canopy level to photosystem level using a random forest model. Remote Sensing of Environment, 231, 110772 (18 pp.). https://doi.org/10.1016/j.rse.2018.05.035
Robust quantification of riverine land cover dynamics by high-resolution remote sensing
Milani, G., Volpi, M., Tonolla, D., Doering, M., Robinson, C., Kneubühler, M., & Schaepman, M. (2018). Robust quantification of riverine land cover dynamics by high-resolution remote sensing. Remote Sensing of Environment, 217, 491-505. https://doi.org/10.1016/j.rse.2018.08.035
Effect of environmental conditions on sun-induced fluorescence in a mixed forest and a cropland
Paul-Limoges, E., Damm, A., Hueni, A., Liebisch, F., Eugster, W., Schaepman, M. E., & Buchmann, N. (2018). Effect of environmental conditions on sun-induced fluorescence in a mixed forest and a cropland. Remote Sensing of Environment, 219, 310-323. https://doi.org/10.1016/j.rse.2018.10.018
Using reflectance to explain vegetation biochemical and structural effects on sun-induced chlorophyll fluorescence
Yang, P., van der Tol, C., Verhoef, W., Damm, A., Schickling, A., Kraska, T., … Rascher, U. (2018). Using reflectance to explain vegetation biochemical and structural effects on sun-induced chlorophyll fluorescence. Remote Sensing of Environment, 231, 110996 (11 pp.). https://doi.org/10.1016/j.rse.2018.11.039
MERIS observations of phytoplankton blooms in a stratified eutrophic lake
Odermatt, D., Pomati, F., Pitarch, J., Carpenter, J., Kawka, M., Schaepman, M., & Wüest, A. (2012). MERIS observations of phytoplankton blooms in a stratified eutrophic lake. Remote Sensing of Environment, 126, 232-239. https://doi.org/10.1016/j.rse.2012.08.031