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Please use this identifier to cite or link to this item: https://doi.org/10.21256/zhaw-19905
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dc.contributor.authorMilani, Gillian-
dc.contributor.authorKneubühler, Mathias-
dc.contributor.authorTonolla, Diego-
dc.contributor.authorDöring, Michael-
dc.contributor.authorSchaepman, Michael-
dc.date.accessioned2020-04-16T07:34:30Z-
dc.date.available2020-04-16T07:34:30Z-
dc.date.issued2020-04-02-
dc.identifier.issn1939-1404de_CH
dc.identifier.issn2151-1535de_CH
dc.identifier.urihttps://digitalcollection.zhaw.ch/handle/11475/19905-
dc.description.abstractPressure 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.de_CH
dc.language.isoende_CH
dc.publisherIEEEde_CH
dc.relation.ispartofIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensingde_CH
dc.rightshttp://creativecommons.org/licenses/by/4.0/de_CH
dc.subjectLandsatde_CH
dc.subjectUnmixingde_CH
dc.subjectNDVI dynamicsde_CH
dc.subjectAlpsde_CH
dc.subjectFloodsde_CH
dc.subject.ddc333: Bodenwirtschaft und Ressourcende_CH
dc.titleCharacterizing flood impact on Swiss floodplains using inter-annual time series of satellite imageryde_CH
dc.typeBeitrag in wissenschaftlicher Zeitschriftde_CH
dcterms.typeTextde_CH
zhaw.departementLife Sciences und Facility Managementde_CH
zhaw.organisationalunitInstitut für Umwelt und Natürliche Ressourcen (IUNR)de_CH
dc.identifier.doi10.1109/JSTARS.2020.2980381de_CH
dc.identifier.doi10.21256/zhaw-19905-
zhaw.funding.euNode_CH
zhaw.originated.zhawYesde_CH
zhaw.pages.end1493de_CH
zhaw.pages.start1479de_CH
zhaw.publication.statusacceptedVersionde_CH
zhaw.volume13de_CH
zhaw.publication.reviewPeer review (Publikation)de_CH
zhaw.funding.snf153972de_CH
zhaw.webfeedÖkohydrologiede_CH
zhaw.funding.zhawNachhaltiges Auenmanagement und Wasserkraft - HyApp NRP70de_CH
zhaw.author.additionalNode_CH
zhaw.display.portraitYesde_CH
Appears in collections:Publikationen Life Sciences und Facility Management

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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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