Journal of Sensors

Sensors for Coastal Monitoring


Publishing date
19 Feb 2016
Status
Published
Submission deadline
02 Oct 2015

1Institute for Electromagnetic Sensing of the Environment of CNR, Naples, Italy

2Coastal Research of the Helmholtz Centre Geesthacht, Geesthacht, Germany

3Universidad de Alcalá, Madrid, Spain

4Institute of Marine Technology of CNR, Rome, Italy

5Polytechnic University of Marche, Ancona, Italy


Sensors for Coastal Monitoring

Description

Coastal monitoring is a topic of great interest both from a scientific point of view—given the complexity of the coastal phenomenology—and from an applicative point of view, considering the significance of the safety and protection of the coastal environment and infrastructures.

As an example, the capability to monitor both the causes and the effects of the coastal phenomena is very relevant in order to provide decision support to stakeholders engaged in the design and construction of coastal infrastructures and in the subsequent monitoring also with environmental protection aims.

In this context, the main pillar of the monitoring strategy is based on the use of sensors both in situ and remote, which provide the accurate measurement of physical and biochemical parameters over the water column as well as of hydrodynamic phenomena (such as waves, winds, and currents). These measurements together with the use of ad hoc models allow for a complete monitoring of coastal phenomena on small and large scales and also allow for a more accurate calibration of the models themselves.

The aim of this special issue is to provide an overview of the emerging sensing technologies for monitoring of the coastal areas from the coast, out the sea, and from the space.

Potential topics include, but are not limited to:

  • Sensors (radars, cameras, buoys, probes, etc.) for observing wind and waves
  • Sensors for monitoring of coastal phenomena on a small scale such as macro vortex, upwelling, coastal erosion, wave’s diffraction, and wave reflection
  • Sensors to observe current and bathymetry
  • Sensors for detection of oil spills and their propagation
  • Combination of sensors and models for coastal observations, forecasting, and early warning systems

Articles

  • Special Issue
  • - Volume 2016
  • - Article ID 1720563
  • - Editorial

Sensors for Coastal Monitoring

Francesco Serafino | Jochen Horstmann | ... | Maurizio Brocchini
  • Special Issue
  • - Volume 2016
  • - Article ID 8671516
  • - Research Article

Optimal Fair Scheduling in S-TDMA Sensor Networks for Monitoring River Plumes

Miguel-Angel Luque-Nieto | José-Miguel Moreno-Roldán | ... | Pablo Otero
  • Special Issue
  • - Volume 2016
  • - Article ID 6589636
  • - Research Article

A New Small Drifter for Shallow Water Basins: Application to the Study of Surface Currents in the Muggia Bay (Italy)

Carmelo Nasello | Vincenzo Armenio
  • Special Issue
  • - Volume 2016
  • - Article ID 8359602
  • - Research Article

Multifocus Color Image Fusion Based on NSST and PCNN

Xin Jin | Rencan Nie | ... | Kangjian He
  • Special Issue
  • - Volume 2016
  • - Article ID 6236925
  • - Research Article

Application of X-Band Wave Radar for Coastal Dynamic Analysis: Case Test of Bagnara Calabra (South Tyrrhenian Sea, Italy)

Michele Punzo | Chiara Lanciano | ... | Ennio Marsella
  • Special Issue
  • - Volume 2016
  • - Article ID 9565208
  • - Research Article

LG-Mod: A Modified Local Gradient (LG) Method to Retrieve SAR Sea Surface Wind Directions in Marine Coastal Areas

Fabio M. Rana | Maria Adamo | ... | Sandra Morelli
  • Special Issue
  • - Volume 2016
  • - Article ID 6594847
  • - Research Article

Visibility of River Plume Fronts with an X-Band Radar

Satoshi Takewaka
  • Special Issue
  • - Volume 2016
  • - Article ID 2750862
  • - Research Article

GNSS-R Delay-Doppler Map Simulation Based on the 2004 Sumatra-Andaman Tsunami Event

Qingyun Yan | Weimin Huang
  • Special Issue
  • - Volume 2016
  • - Article ID 7965431
  • - Research Article

Monitoring Individual Wave Characteristics in the Inner Surf with a 2-Dimensional Laser Scanner (LiDAR)

Kévin Martins | Chris E. Blenkinsopp | Jun Zang
  • Special Issue
  • - Volume 2016
  • - Article ID 1078053
  • - Research Article

Wave Height Estimation from Shipborne X-Band Nautical Radar Images

Xinlong Liu | Weimin Huang | Eric W. Gill
Journal of Sensors
 Journal metrics
Acceptance rate30%
Submission to final decision78 days
Acceptance to publication38 days
CiteScore3.900
Impact Factor1.595
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