Characterizing Flood Impact on Swiss Floodplains Using Interannual Time Series of Satellite Imagery

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 short-term processes and interactions at this hydro-biosphere interface,...

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Autores principales:	Gillian Milani, Mathias Kneubuhler, Diego Tonolla, Michael Doering, Michael E. Schaepman
Formato:	article
Lenguaje:	EN
Publicado:	IEEE 2020
Materias:	Alps floods landsat normalized difference vegetation index (NDVI) dynamics unmixing Ocean engineering TC1501-1800 Geophysics. Cosmic physics QC801-809
Acceso en línea:	https://doaj.org/article/d9f28b9434d541929af8049e82814cd6
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id	oai:doaj.org-article:d9f28b9434d541929af8049e82814cd6
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spelling	oai:doaj.org-article:d9f28b9434d541929af8049e82814cd62021-11-13T00:00:15ZCharacterizing Flood Impact on Swiss Floodplains Using Interannual Time Series of Satellite Imagery2151-153510.1109/JSTARS.2020.2980381https://doaj.org/article/d9f28b9434d541929af8049e82814cd62020-01-01T00:00:00Zhttps://ieeexplore.ieee.org/document/9055026/https://doaj.org/toc/2151-1535Pressure 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 short-term processes and interactions at this hydro-biosphere interface, long-term analyses of the impacts on floodplain dynamics are lacking. We used interannual 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 m. 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.Gillian MilaniMathias KneubuhlerDiego TonollaMichael DoeringMichael E. SchaepmanIEEEarticleAlpsfloodslandsatnormalized difference vegetation index (NDVI) dynamicsunmixingOcean engineeringTC1501-1800Geophysics. Cosmic physicsQC801-809ENIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 13, Pp 1479-1493 (2020)
institution	DOAJ
collection	DOAJ
language	EN
topic	Alps floods landsat normalized difference vegetation index (NDVI) dynamics unmixing Ocean engineering TC1501-1800 Geophysics. Cosmic physics QC801-809
spellingShingle	Alps floods landsat normalized difference vegetation index (NDVI) dynamics unmixing Ocean engineering TC1501-1800 Geophysics. Cosmic physics QC801-809 Gillian Milani Mathias Kneubuhler Diego Tonolla Michael Doering Michael E. Schaepman Characterizing Flood Impact on Swiss Floodplains Using Interannual Time Series of Satellite Imagery
description	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 short-term processes and interactions at this hydro-biosphere interface, long-term analyses of the impacts on floodplain dynamics are lacking. We used interannual 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 m. 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.
format	article
author	Gillian Milani Mathias Kneubuhler Diego Tonolla Michael Doering Michael E. Schaepman
author_facet	Gillian Milani Mathias Kneubuhler Diego Tonolla Michael Doering Michael E. Schaepman
author_sort	Gillian Milani
title	Characterizing Flood Impact on Swiss Floodplains Using Interannual Time Series of Satellite Imagery
title_short	Characterizing Flood Impact on Swiss Floodplains Using Interannual Time Series of Satellite Imagery
title_full	Characterizing Flood Impact on Swiss Floodplains Using Interannual Time Series of Satellite Imagery
title_fullStr	Characterizing Flood Impact on Swiss Floodplains Using Interannual Time Series of Satellite Imagery
title_full_unstemmed	Characterizing Flood Impact on Swiss Floodplains Using Interannual Time Series of Satellite Imagery
title_sort	characterizing flood impact on swiss floodplains using interannual time series of satellite imagery
publisher	IEEE
publishDate	2020
url	https://doaj.org/article/d9f28b9434d541929af8049e82814cd6
work_keys_str_mv	AT gillianmilani characterizingfloodimpactonswissfloodplainsusinginterannualtimeseriesofsatelliteimagery AT mathiaskneubuhler characterizingfloodimpactonswissfloodplainsusinginterannualtimeseriesofsatelliteimagery AT diegotonolla characterizingfloodimpactonswissfloodplainsusinginterannualtimeseriesofsatelliteimagery AT michaeldoering characterizingfloodimpactonswissfloodplainsusinginterannualtimeseriesofsatelliteimagery AT michaeleschaepman characterizingfloodimpactonswissfloodplainsusinginterannualtimeseriesofsatelliteimagery
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Characterizing Flood Impact on Swiss Floodplains Using Interannual Time Series of Satellite Imagery

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