• Treffer 79 von 237
Zurück zur Trefferliste

Bumps in river profiles

  • The analysis of longitudinal river profiles is an important tool for studying landscape evolution. However, characterizing river profiles based on digital elevation models (DEMs) suffers from errors and artifacts that particularly prevail along valley bottoms. The aim of this study is to characterize uncertainties that arise from the analysis of river profiles derived from different, near-globally available DEMs. We devised new algorithms quantile carving and the CRS algorithm - that rely on quantile regression to enable hydrological correction and the uncertainty quantification of river profiles. We find that globally available DEMs commonly overestimate river elevations in steep topography. The distributions of elevation errors become increasingly wider and right skewed if adjacent hillslope gradients are steep. Our analysis indicates that the AW3D DEM has the highest precision and lowest bias for the analysis of river profiles in mountainous topography. The new 12m resolution TanDEM-X DEM has a very low precision, most likely dueThe analysis of longitudinal river profiles is an important tool for studying landscape evolution. However, characterizing river profiles based on digital elevation models (DEMs) suffers from errors and artifacts that particularly prevail along valley bottoms. The aim of this study is to characterize uncertainties that arise from the analysis of river profiles derived from different, near-globally available DEMs. We devised new algorithms quantile carving and the CRS algorithm - that rely on quantile regression to enable hydrological correction and the uncertainty quantification of river profiles. We find that globally available DEMs commonly overestimate river elevations in steep topography. The distributions of elevation errors become increasingly wider and right skewed if adjacent hillslope gradients are steep. Our analysis indicates that the AW3D DEM has the highest precision and lowest bias for the analysis of river profiles in mountainous topography. The new 12m resolution TanDEM-X DEM has a very low precision, most likely due to the combined effect of steep valley walls and the presence of water surfaces in valley bottoms. Compared to the conventional approaches of carving and filling, we find that our new approach is able to reduce the elevation bias and errors in longitudinal river profiles.zeige mehrzeige weniger

Volltext Dateien herunterladen

  • pmnr624.pdfeng
    (8778KB)

    SHA-1: 9dfda6b3d0c53b2d613930e8fc1af348b7934bdc

Metadaten exportieren

Weitere Dienste

Suche bei Google Scholar Statistik - Anzahl der Zugriffe auf das Dokument
Metadaten
Verfasserangaben:Wolfgang SchwanghartORCiDGND, Dirk Scherler
URN:urn:nbn:de:kobv:517-opus4-419077
DOI:https://doi.org/10.25932/publishup-41907
ISSN:1866-8372
Titel des übergeordneten Werks (Englisch):Postprints der Universität Potsdam : Mathematisch-Naturwissenschaftliche Reihe
Untertitel (Englisch):uncertainty assessment and smoothing using quantile regression techniques
Schriftenreihe (Bandnummer):Zweitveröffentlichungen der Universität Potsdam : Mathematisch-Naturwissenschaftliche Reihe (624)
Publikationstyp:Postprint
Sprache:Englisch
Datum der Erstveröffentlichung:19.02.2019
Erscheinungsjahr:2017
Veröffentlichende Institution:Universität Potsdam
Datum der Freischaltung:19.02.2019
Freies Schlagwort / Tag:DEM uncertainty; SRTM; digital elevation model; drainage basins; error; geomorphometry; resolution; terrain; topography; validation
Ausgabe:624
Seitenanzahl:19
Quelle:Earth Surface Dynamics 5 (2017), pp. 821–839 DOI 10.5194/esurf-5-821-2017
Organisationseinheiten:Mathematisch-Naturwissenschaftliche Fakultät
DDC-Klassifikation:5 Naturwissenschaften und Mathematik / 55 Geowissenschaften, Geologie / 550 Geowissenschaften
Peer Review:Referiert
Publikationsweg:Open Access
Fördermittelquelle:Copernicus
Lizenz (Deutsch):License LogoCC-BY - Namensnennung 4.0 International
Verstanden ✔
Diese Webseite verwendet technisch erforderliche Session-Cookies. Durch die weitere Nutzung der Webseite stimmen Sie diesem zu. Unsere Datenschutzerklärung finden Sie hier.