Special Issue "Remote Sensing of Phytoplankton"
A special issue of Remote Sensing (ISSN 2072-4292).
Deadline for manuscript submissions: closed (30 July 2013)
Prof. Dr. Raphael M. Kudela
Ocean Sciences Department, University of California, A-461 Earth & Marine Sciences Bldg., CA 95064, Santa Cruz, USA
Phone: +1 831 459 3290
Fax: +1 831 459-4882
Interests: ecological modeling and remote sensing; satellite oceanography; phytoplankton ecology and harmful algal blooms
The advent of ocean color sensors introduced a new understanding of the dynamics inherent to phytoplankton biomass and productivity in both marine and freshwater systems. Remote sensing provides the only reasonable way to synoptically map aquatic systems, and through the development of Climate Data Records provides a long-term perspective on changes driven by basin-scale and global trends. The next generation of sensors provide improved spatial and spectral resolution, enabling the scientific community to move beyond simple indices of biomass to produce novel algorithms for phytoplankton functional types, colored dissolved material, particle composition, and other relevant optical properties. This special issue will draw from ongoing studies focused on remote observation of phytoplankton and related parameters in aquatic systems, from local to global scales.
Dr. Raphael M. Kudela
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. Papers will be published continuously (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are refereed through a peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Remote Sensing is an international peer-reviewed Open Access monthly journal published by MDPI.
- ocean remote sensing
- remote sensing of lakes and reservoirs
- phytoplankton Functional Types (PFT)
- phytoplankton biomass and productivity
- water color
- optical properties of aquatic environments
- phytoplankton biogeochemistry
- climate change
Remote Sens. 2013, 5(7), 3457-3475; doi:10.3390/rs5073457
Received: 28 May 2013; in revised form: 15 July 2013 / Accepted: 17 July 2013 / Published: 19 July 2013| Download PDF Full-text (596 KB) | Download XML Full-text
Article: Characterizing the Absorption Properties for Remote Sensing of Three Small Optically-Diverse South African Reservoirs
Remote Sens. 2013, 5(9), 4370-4404; doi:10.3390/rs5094370
Received: 16 July 2013; in revised form: 30 August 2013 / Accepted: 3 September 2013 / Published: 9 September 2013| Download PDF Full-text (5513 KB) | Download XML Full-text
Article: Ultraviolet Fluorescence LiDAR (UFL) as a Measurement Tool for Water Quality Parameters in Turbid Lake Conditions
Remote Sens. 2013, 5(9), 4405-4422; doi:10.3390/rs5094405
Received: 23 July 2013; in revised form: 4 September 2013 / Accepted: 5 September 2013 / Published: 11 September 2013| Download PDF Full-text (1380 KB) | Download XML Full-text
Article: A Performance Review of Reflectance Based Algorithms for Predicting Phycocyanin Concentrations in Inland Waters
Remote Sens. 2013, 5(10), 4774-4798; doi:10.3390/rs5104774
Received: 26 July 2013; in revised form: 23 September 2013 / Accepted: 23 September 2013 / Published: 26 September 2013| Download PDF Full-text (1663 KB) | Download XML Full-text
Article: Time-Space Variability of Chlorophyll-a and Associated Physical Variables within the Region off Central-Southern Chile
Remote Sens. 2013, 5(11), 5550-5571; doi:10.3390/rs5115550
Received: 10 September 2013; in revised form: 12 October 2013 / Accepted: 17 October 2013 / Published: 28 October 2013| Download PDF Full-text (2611 KB)
Article: Future Retrievals of Water Column Bio-Optical Properties using the Hyperspectral Infrared Imager (HyspIRI)
Remote Sens. 2013, 5(12), 6812-6837; doi:10.3390/rs5126812
Received: 19 October 2013; in revised form: 25 November 2013 / Accepted: 26 November 2013 / Published: 6 December 2013| Download PDF Full-text (1917 KB)
Last update: 5 March 2013