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https://doi.org/10.21256/zhaw-19905| Publikationstyp: | Beitrag in wissenschaftlicher Zeitschrift |
| Art der Begutachtung: | Peer review (Publikation) |
| Titel: | Characterizing flood impact on Swiss floodplains using inter-annual time series of satellite imagery |
| Autor/-in: | Milani, Gillian Kneubühler, Mathias Tonolla, Diego Döring, Michael Schaepman, Michael |
| et. al: | No |
| DOI: | 10.1109/JSTARS.2020.2980381 10.21256/zhaw-19905 |
| Erschienen in: | IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing |
| Band(Heft): | 13 |
| Seite(n): | 1479 |
| Seiten bis: | 1493 |
| Erscheinungsdatum: | 2-Apr-2020 |
| Verlag / Hrsg. Institution: | IEEE |
| ISSN: | 1939-1404 2151-1535 |
| Sprache: | Englisch |
| Schlagwörter: | Landsat; Unmixing; NDVI dynamics; Alps; Floods |
| Fachgebiet (DDC): | 333: Bodenwirtschaft und Ressourcen |
| Zusammenfassung: | Pressure on the biodiversity of ecosystems along many rivers is growing continuously due to the increasing number of hydropower facilities regulating downstream flow and sediment regimes. Despite a thorough understanding of the shortterm processes and interactions at this hydro-biosphere interface, long-term analyses of the impacts on floodplain dynamics are lacking. We used inter-annual Landsat 4, 5, 7 and 8 time series to analyze the effects of hydrological events on floodplain vegetation in four mountainous floodplains in the Swiss Alps. Using a spectral mixture analysis approach, we demonstrate that the floodplain vegetation dynamics of mountainous rivers can be recovered at a spatial resolution of 30 meters. Our results suggest that interactions between floods and floodplain vegetation are complex and not exclusively related to flood magnitude. Of the four reaches analyzed, only data gathered along the submountainous reach with a quasi-natural flow regime show a clear link between remotely sensed vegetation indices and floods. In addition, our 29-year time series shows a continuous upward trend in vegetation indices along the floodplains, strongest in the reaches affected by hydropower facilities. The approach presented in this study can be easily replicated in other mountain ranges by providing available flow data to verify the impact of hydropower on floodplain vegetation dynamics. |
| URI: | https://digitalcollection.zhaw.ch/handle/11475/19905 |
| Volltext Version: | Akzeptierte Version |
| Lizenz (gemäss Verlagsvertrag): | CC BY 4.0: Namensnennung 4.0 International |
| Departement: | Life Sciences und Facility Management |
| Organisationseinheit: | Institut für Umwelt und Natürliche Ressourcen (IUNR) |
| Publiziert im Rahmen des ZHAW-Projekts: | Nachhaltiges Auenmanagement und Wasserkraft - HyApp NRP70 |
| Enthalten in den Sammlungen: | Publikationen Life Sciences und Facility Management |
Dateien zu dieser Ressource:
| Datei | Beschreibung | Größe | Format | |
|---|---|---|---|---|
| 2020_Tonolla_Döring_Characterizing-flood-impact_IEEE.pdf | Accepted Version | 21.61 MB | Adobe PDF |  Öffnen/Anzeigen |
Zur Langanzeige
Milani, G., Kneubühler, M., Tonolla, D., Döring, M., & Schaepman, M. (2020). Characterizing flood impact on Swiss floodplains using inter-annual time series of satellite imagery. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 13, 1479–1493. https://doi.org/10.1109/JSTARS.2020.2980381
Milani, G. et al. (2020) ‘Characterizing flood impact on Swiss floodplains using inter-annual time series of satellite imagery’, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 13, pp. 1479–1493. Available at: https://doi.org/10.1109/JSTARS.2020.2980381.
G. Milani, M. Kneubühler, D. Tonolla, M. Döring, and M. Schaepman, “Characterizing flood impact on Swiss floodplains using inter-annual time series of satellite imagery,” IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 13, pp. 1479–1493, Apr. 2020, doi: 10.1109/JSTARS.2020.2980381.
MILANI, Gillian, Mathias KNEUBÜHLER, Diego TONOLLA, Michael DÖRING und Michael SCHAEPMAN, 2020. Characterizing flood impact on Swiss floodplains using inter-annual time series of satellite imagery. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 2 April 2020. Bd. 13, S. 1479–1493. DOI 10.1109/JSTARS.2020.2980381
Milani, Gillian, Mathias Kneubühler, Diego Tonolla, Michael Döring, and Michael Schaepman. 2020. “Characterizing Flood Impact on Swiss Floodplains Using Inter-Annual Time Series of Satellite Imagery.” IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 13 (April): 1479–93. https://doi.org/10.1109/JSTARS.2020.2980381.
Milani, Gillian, et al. “Characterizing Flood Impact on Swiss Floodplains Using Inter-Annual Time Series of Satellite Imagery.” IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 13, Apr. 2020, pp. 1479–93, https://doi.org/10.1109/JSTARS.2020.2980381.
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