Please use this identifier to cite or link to this item: https://doi.org/10.21256/zhaw-19905
Publication type: Article in scientific journal
Type of review: Peer review (publication)
Title: Characterizing flood impact on Swiss floodplains using inter-annual time series of satellite imagery
Authors: Milani, Gillian
Kneubühler, Mathias
Tonolla, Diego
Döring, Michael
Schaepman, Michael
et. al: No
DOI: 10.1109/JSTARS.2020.2980381
10.21256/zhaw-19905
Published in: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Volume(Issue): 13
Page(s): 1479
Pages to: 1493
Issue Date: 2-Apr-2020
Publisher / Ed. Institution: IEEE
ISSN: 1939-1404
2151-1535
Language: English
Subjects: Landsat; Unmixing; NDVI dynamics; Alps; Floods
Subject (DDC): 333: Economics of land and resources
Abstract: 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
Fulltext version: Accepted version
License (according to publishing contract): CC BY 4.0: Attribution 4.0 International
Departement: Life Sciences and Facility Management
Organisational Unit: Institute of Natural Resource Sciences (IUNR)
Published as part of the ZHAW project: Nachhaltiges Auenmanagement und Wasserkraft - HyApp NRP70
Appears in collections:Publikationen Life Sciences und Facility Management

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