Benthic habitat mapping: A review of progress towards improved understanding of the spatial ecology of the seafloor using acoustic techniques
By C. Brown, Stephen J. Smith, P. Lawton, J. Anderson. 2011
631 citations recorded by the source corpus.
Subfields: Ecology, Global and Planetary Change, Oceanography
View Paper: https://www.semanticscholar.org/paper/90388901a3e2d69c2b6240d05b323bf739d60da1
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Ecology
- M. Gogina
- Pål Buhl-Mortensen
- L. Buhl‐Mortensen
- Á. Borja
- Keith R. Skene
- Hermann Neumann
- L. Laurenson
- H. Reiss
In Global and Planetary Change
- Pål Buhl-Mortensen
- L. Buhl‐Mortensen
- Á. Borja
- Keith R. Skene
- Gert Van Hoey
- Steven Degraer
- I. Muxika
- J. Bald
In Oceanography
- Pål Buhl-Mortensen
- L. Buhl‐Mortensen
- Á. Borja
- Gert Van Hoey
- Steven Degraer
- I. Muxika
- J. Bald
- P. Mortensen
Citations in the corpus
- Circles, spirals, pyramids and cubes: why the circular economy cannot work (2018, background): “Acoustic remote sensing sensors allow for production of detailed maps of bathymetry as well as the geological and biological components of the seabed, providing a wealth of information for mapping and analysing benthic habitats (Brown et al. 2011).”
- Benthos distribution modelling and its relevance for marine ecosystem management (2015, methodology): “Recent developments in marine habitat mapping using remote sensing tools have resulted in an increased availability of environmental data (Brown et al., 2011).”
- Habitat mapping as a tool for conservation and sustainable use of marine resources: Some perspectives from the MAREANO Programme, Norway (2015, background): “As pointed out by Brown et al. (2011) all these gears provide detailed information on the small area of seafloor that they sample and it is difficult to derive an accurate representation of the broader spatial configuration of the seafloor biophysical characteristics.”
- Combining angular response classification and backscatter imagery segmentation for benthic biological habitat mapping (2012, methodology): “Depth has been shown to influence the distribution of benthic biological habitat communities and provides useful information to the habitat classification using MBES data (Brown et al., 2011).”