UNIVERSI
TÄ
TS-
BIBLIOTHEK
P
ADERBORN
Anmelden
Menü
Menü
Start
Hilfe
Blog
Weitere Dienste
Neuerwerbungslisten
Fachsystematik Bücher
Erwerbungsvorschlag
Bestellung aus dem Magazin
Fernleihe
Einstellungen
Sprache
Deutsch
Deutsch
Englisch
Farbschema
Hell
Dunkel
Automatisch
Sie befinden Sich nicht im Netzwerk der Universität Paderborn. Der Zugriff auf elektronische Ressourcen ist
gegebenenfalls
nur via VPN oder Shibboleth (DFN-AAI) möglich.
mehr Informationen...
Universitätsbibliothek
Katalog
Suche
Details
Zur Ergebnisliste
Ergebnis 3 von 16
Datensatz exportieren als...
BibTeX
Quantifying Submerged Deposited Fine Sediments in Rivers and Streams Using Digital Image Analysis
River research and applications, 2017-12, Vol.33 (10), p.1585-1595
Turley, M. D.
Bilotta, G. S.
Arbociute, G.
Chadd, R. P.
Extence, C. A.
Brazier, R. E.
2017
Volltextzugriff (PDF)
Details
Autor(en) / Beteiligte
Turley, M. D.
Bilotta, G. S.
Arbociute, G.
Chadd, R. P.
Extence, C. A.
Brazier, R. E.
Titel
Quantifying Submerged Deposited Fine Sediments in Rivers and Streams Using Digital Image Analysis
Ist Teil von
River research and applications, 2017-12, Vol.33 (10), p.1585-1595
Ort / Verlag
Bognor Regis: Wiley Subscription Services, Inc
Erscheinungsjahr
2017
Quelle
Wiley Online Library All Journals
Beschreibungen/Notizen
Deposited fine sediment is an essential component of freshwater ecosystems. Nonetheless, anthropogenic activities can modify natural fine sediment levels, impacting the physical, chemical and biological characteristics of these ecosystems. An ability to quantify deposited fine sediment is critical to understanding its impacts and successfully managing the anthropogenic activities that are responsible for modifying it. One widely used method, the visual estimate technique, relies on subjective estimates of particle size and percentage cover. In this paper, we present two novel alternative approaches, based on non‐automated digital image analysis (DIA), which are designed to reduce the subjectivity of submerged and surficial fine sediment estimates, and provide a verifiable record of the conditions at the time of sampling. The DIA methods were tested across five systematically selected, contrasting temperate stream and river typologies, over three seasons of monitoring. The resultant sediment metrics were strongly, positively correlated with visual estimates (rs = 0.90, and rs = 0.82, p < 0.01), and similarly strongly, but negatively correlated with a sediment‐specific biotic index, suggesting some degree of biological relevance. The DIA technique has the potential to be a valuable tool for application in numerous areas of river research, where a non‐destructive, less subjective and verifiable method is desirable. Copyright ©2016 The Authors River Research and Applications Published by John Wiley & Sons Ltd
Sprache
Englisch
Identifikatoren
ISSN: 1535-1459
eISSN: 1535-1467
DOI: 10.1002/rra.3073
Titel-ID: cdi_proquest_journals_1975799762
Format
–
Schlagworte
Anthropogenic factors
,
deposited fine sediment
,
digital image analysis
,
Digital imaging
,
Digital media
,
Ecosystems
,
Environmental monitoring
,
Estimates
,
Fluvial sediments
,
Freshwater
,
Freshwater ecosystems
,
habitat assessment
,
Human influences
,
Image analysis
,
Image processing
,
Inland water environment
,
river substrate
,
Rivers
,
Sampling methods
,
Sediment
,
Sediments
,
Streams
,
visual estimates
Weiterführende Literatur
Empfehlungen zum selben Thema automatisch vorgeschlagen von
bX