Hervé Demarcq

Dr. Hervé Demarcq

orcid

Research Focus & Metrics

Academic Career Length

40Years (1987-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 December 2009 in Progress in Oceanography
Verified
Journal Article
Closed access
JAJavier Arístegui
Javier Arístegui
EBEric D. Barton
Eric D. Barton
Xosé Antón Álvarez-SalgadoXosé Antón Álvarez-Salgado
Xosé Antón Álvarez-Salgado
A. Miguel Piecho-SantosA. Miguel Piecho-Santos
A. Miguel Piecho-Santos
Francisco FiguierasFrancisco Figuieras
Francisco Figuieras
HDHervé Demarcq
Hervé Demarcq

1 December 2009 in Progress in Oceanography
Verified
Journal Article
Closed access
HDHervé Demarcq
Hervé Demarcq

1 August 2012 in Remote Sensing of Environment
Verified
Journal Article
Closed access
KNK. Nieto
K. Nieto
HDHervé Demarcq
Hervé Demarcq
SMS. McClatchie
S. McClatchie

1 August 2000 in Oceanologica Acta
Verified
Journal Article
Closed access
HDHervé Demarcq
Hervé Demarcq
VFValérie Faure
Valérie Faure

21 January 2011 in ICES Journal of Marine Science
Verified
Journal Article
Open access
PDF file
ECEmmanuel Chassot
Emmanuel Chassot
SBSylvain Bonhommeau
Sylvain Bonhommeau
GRGabriel Reygondeau
Gabriel Reygondeau
KNKaren Nieto
Karen Nieto
JPJeffrey J. Polovina
Jeffrey J. Polovina
HDHervé Demarcq
Hervé Demarcq
Chassot, E., Bonhommeau, S., Reygondeau, G., Nieto, K., Polovina, J. J., Huret, M., Dulvy, N. K., and Demarcq, H. 2011. Satellite remote sensing for an ecosystem approach to fisheries management. – ICES Journal of Marine Science, 68: 651–666. Satellite remote sensing (SRS) of the marine environment has become instrumental in ecology for environmental monitoring and impact assessment, and it is a promising tool for conservation issues. In the context of an ecosystem approach to fisheries management (EAFM), global, daily, systematic, high-resolution images obtained from satellites provide a good data source for incorporating habitat considerations into marine fish population dynamics. An overview of the most common SRS datasets available to fishery scientists and state-of-the-art data-processing methods is presented, focusing on recently developed techniques for detecting mesoscale features such as eddies, fronts, filaments, and river plumes of major importance in productivity enhancement and associated fish aggregation. A comprehensive review of remotely sensed data applications in fisheries over the past three decades for investigating the relationships between oceanographic conditions and marine resources is provided, emphasizing how synoptic and information-rich SRS data have become instrumental in ecological analyses at community and ecosystem scales. Finally, SRS data, in conjunction with automated in situ data-acquisition systems, can provide the scientific community with a major source of information for ecosystem modelling, a key tool for implementing an EAFM.

1 October 2003 in Progress in Oceanography
Verified
Journal Article
Closed access
JAJ.J. Agenbag
J.J. Agenbag
ARAnthony Richardson
Anthony Richardson
HDHervé Demarcq
Hervé Demarcq
PFP. Fréon
P. Fréon
SWScarla Weeks
Scarla Weeks
FSF.A. Shillington
F.A. Shillington