Suche nach Personen

plus im Publikationsserver
plus bei BASE
plus bei Google Scholar

Daten exportieren

 

Biogeomorphology from space : a comprehensive analysis of the corridor of the Naryn River in Kyrgyzstan based on remote sensing

Titelangaben

Verfügbarkeit überprüfen

Betz, Florian:
Biogeomorphology from space : a comprehensive analysis of the corridor of the Naryn River in Kyrgyzstan based on remote sensing.
Eichstätt, 2021. - XI, 173 S.
(Dissertation, 2021, Katholische Universität Eichstätt-Ingolstadt)

Volltext

Kurzfassung/Abstract

In the arid and semi-arid climate of Central Asia, the endorheic rivers and their ecosystems play a crucial role as regional hotspots of biodiversity and for the provision of ecosystem services for local people. The Naryn River in Kyrgyzstan as the object of interest of this thesis is one of these rivers. On a flow length of more than 600 km, it is still in a widely natural condition making it an interesting study object in a world where most large rivers are distorted by anthropogenic activities. Despite this relevance, no comprehensive scientific studies are available about the Naryn River except water resource related research. In particular, large scale information about the structure and functioning of the Naryn River system from an interdisciplinary perspective is missing. Against this background, this thesis aims to fill the research gap and deliver up-to-date information about the Naryn River corridor with a special focus on biogeomorphology, i.e. the dynamic interaction between hydromorphology and vegetation. First, this thesis delivers the necessary background information about the Naryn River corridor including a general overview, an assessment of ecosystem services, a field based overview of the structure of the riparian ecosystems and an in-depth analysis of hydrology. Basing upon this background, remote sensing methods adapted to the data-scarce environment of Central Asia are used to derive various parameters of the structure of the Naryn River on the scale from reaches to the entire river corridor. Then, the large scale biogeomorphological structures and dynamics are assessed based on dense time series of multispectral satellite imagery. From the results, it becomes obvious that the structure of the corridor of the Naryn River is heterogeneous and mainly controlled by geological contraints. Only in a laterally unconfined segment, dynamic braided river reaches can form. In these reaches, the majority of biogeomorphological interactions take place. The outcome of this thesis is on the one hand the provision of large scale and up-to-date information about the structure and functioning of the Naryn River corridor as a basis for further research or decision making. On the other hand, this thesis presents innovative remote sensing methods for large scale characterization of river corridors. In particular, an approach for the characterization of dynamic processes of biogeomorphological interactions on a large scale is developed based on time series analysis of satellite imagery. This approach can complement biogeomorphological research on smaller spatial scales by delivering spatially and temporally continuous information for entire river corridors. This has the potential to obtain new insights of the processes and emergence of structure in river systems across multiple scales.

Weitere Angaben

Publikationsform:Hochschulschrift (Dissertation)
Schlagwörter:Biogeomorphology; Geomorphology; Interdisciplinary River Science; River Dynamics; Satellite Time Series; Naryn River; Kyrgyzstan; Central Asia
Themenfelder:Nachhaltigkeit
Sprache des Eintrags:Englisch
Institutionen der Universität:Mathematisch-Geographische Fakultät > Geographie > Professur für Angewandte Physische Geographie und KU-Forschungsstelle Aueninstitut Neuburg
Mathematisch-Geographische Fakultät > Dissertationen / Habilitationen
DOI / URN / ID:10.17904/ku.opus-694
Open Access: Freie Zugänglichkeit des Volltexts?:Ja
Titel an der KU entstanden:Ja
KU.edoc-ID:28073
Eingestellt am: 01. Jul 2021 10:42
Letzte Änderung: 25. Feb 2022 10:55
URL zu dieser Anzeige: https://edoc.ku.de/id/eprint/28073/
AnalyticsGoogle Scholar