Stefan Simis

Dr. Stefan Simis

orcid

Research Focus & Metrics

Academic Career Length

23Years (2004-Present)

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

Representative Publications

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19 January 2005 in Limnology and Oceanography
Verified
Journal Article
Open access
PDF file
SSStefan Simis
Stefan Simis
SPSteef W. M. Peters
Steef W. M. Peters
HGHerman J. Gons
Herman J. Gons
The pigment phycocyanin (PC) is a marker for cyanobacterial presence in eutrophic inland water. We present a reflectance band-ratio algorithm for retrieval of cyanobacterial PC. The model conforms to...

1 May 2019 in Remote Sensing of Environment
Verified
Journal Article
Open access
MWMark Warren
Mark Warren
SSStefan Simis
Stefan Simis
VMVictor Martinez-Vicente
Victor Martinez-Vicente
KPK. Poser
K. Poser
Mariano BrescianiMariano Bresciani
Mariano Bresciani
AAA. Ansper
A. Ansper

23 November 2016 in Frontiers in Marine Science
Verified
Journal Article
Open access
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Roberto DanovaroRoberto Danovaro
Roberto Danovaro
LCLaura Carugati
Laura Carugati
MBMarco Berzano
Marco Berzano
ACAbigail E. Cahill
Abigail E. Cahill
SCSusana Carvalho
Susana Carvalho
BABorja Angel
Borja Angel
Marine environmental monitoring has tended to focus on site-specific methods of investigation. These traditional methods have low spatial and temporal resolution and are relatively labour intensive per unit area/time that they cover. To implement the Marine Strategy Framework Directive (MSFD), European Member States are required to improve marine monitoring and design monitoring networks. This can be achieved by developing and testing innovative and cost-effective monitoring systems, as well as indicators of environmental status. Here, we present several recently developed methodologies and technologies to improve marine biodiversity indicators and monitoring methods. The innovative tools are discussed concerning the technologies presently utilized as well as the advantages and disadvantages of their use in routine monitoring. In particular, the present analysis focuses on: (i) molecular approaches, including microarray, Real Time quantitative PCR (qPCR), and metagenetic (metabarcoding) tools; (ii) optical (remote) sensing and acoustic methods; and (iii) in situ monitoring instruments. We also discuss their applications in marine monitoring within the MSFD through the analysis of case studies in order to evaluate their potential utilization in future routine marine monitoring. We show that these recently-developed technologies can present clear advantages in accuracy, efficiency and cost.

1 February 2007 in Remote Sensing of Environment
Verified
Journal Article
Closed access
SSStefan Simis
Stefan Simis
ARAntonio Ruiz-Verdú
Antonio Ruiz-Verdú
JDJose Antonio Domínguez-Gómez
Jose Antonio Domínguez-Gómez
RPRamón Peña-Martinez
Ramón Peña-Martinez
SPSteef W.M. Peters
Steef W.M. Peters
HGHerman J. Gons
Herman J. Gons

21 October 2019 in Remote Sensing
Verified
Journal Article
Open access
PDF file
VMVictor Martinez-Vicente
Victor Martinez-Vicente
JCJames Clark
James Clark
PCPaolo Corradi
Paolo Corradi
SAStefano Aliani
Stefano Aliani
Manuel AriasManuel Arias
Manuel Arias
DVDick Vethaak
Dick Vethaak
Sustained observations are required to determine the marine plastic debris mass balance and to support effective policy for planning remedial action. However, observations currently remain scarce at the global scale. A satellite remote sensing system could make a substantial contribution to tackling this problem. Here, we make initial steps towards the potential design of such a remote sensing system by: (1) identifying the properties of marine plastic debris amenable to remote sensing methods and (2) highlighting the oceanic processes relevant to scientific questions about marine plastic debris. Remote sensing approaches are reviewed and matched to the optical properties of marine plastic debris and the relevant spatio-temporal scales of observation to identify challenges and opportunities in the field. Finally, steps needed to develop marine plastic debris detection by remote sensing platforms are proposed in terms of fundamental science as well as linkages to ongoing planning for satellite systems with similar observation requirements.

1 November 2008 in Remote Sensing of Environment
Verified
Journal Article
Closed access
ARAntonio Ruiz-Verdú
Antonio Ruiz-Verdú
SSStefan Simis
Stefan Simis
CHCaridad de Hoyos
Caridad de Hoyos
HGHerman J. Gons
Herman J. Gons
RPRamón Peña-Martínez
Ramón Peña-Martínez