Correlating acoustical with physical and biological oceanography
Access Status
Authors
Date
2013Type
Metadata
Show full item recordCitation
Source Title
ISSN
Collection
Abstract
The Centre for Marine Science & Technology at Curtin University built and maintains the underwater acoustic recorders of Australia’s Integrated Marine Observing System (IMOS; <a href="http://IMOS.org.au).">http://IMOS.org.au).</a> Recordings have been obtained at four locations (off Western Australia, Victoria, and New South Wales) since 2011. IMOS includes a multitude of oceanographic and remote sensors, contributed by various institutions, which are also responsible for data management. Data are shared and publicly available encouraging collaboration and syntheses. This study has compiled time series of weather data, tides, current data (from Acoustic Doppler Current Profilers, ADCP), and wind (from radar measurements), and established correlations with underwater noise is a series of one-third octave bands between 10 Hz and 3 kHz from the Perth Canyon. Our results further demonstrate that ocean noise in certain frequency bands can be used to estimate aspects of physical and biological oceanography.
Related items
Showing items related by title, author, creator and subject.
-
Wright, Graeme L. (2000)The objective of this study was to investigate the application of multiscale satellite remote sensing data for assessment of land cover change in the rural-urban fringe. Inherent in this assessment process was the ...
-
Issa, Tomayess; Jadeja, B. (2018)Big data is new technology trend and it provides immense advantages. There are too many social networking websites people are using, these websites more than ever before. The data which has been created in the last 5 years ...
-
Lockery, J.E.; Collyer, T.A.; Reid, Christopher ; Ernst, M.E.; Gilbertson, D.; Hay, N.; Kirpach, B.; McNeil, J.J.; Nelson, M.R.; Orchard, S.G.; Pruksawongsin, K.; Shah, R.C.; Wolfe, R.; Woods, R.L. (2019)© 2019 The Author(s). Background: Large-scale studies risk generating inaccurate and missing data due to the complexity of data collection. Technology has the potential to improve data quality by providing operational ...