remotesensing-logo

Journal Browser

Journal Browser

Water Quality Assessment Based on Optical Remote Sensing Imagery

A special issue of Remote Sensing (ISSN 2072-4292). This special issue belongs to the section "Biogeosciences Remote Sensing".

Deadline for manuscript submissions: closed (29 February 2024) | Viewed by 408

Special Issue Editors


E-Mail Website
Guest Editor

E-Mail Website
Guest Editor
1. Institute of Earth Sciences, Institute for Advanced Studies and Research, University of Évora, 7000-671 Évora, Portugal
2. Earth Remote Sensing Laboratory-EaRSLab, Institute for Advanced Studies and Research, University of Évora, 7000-671 Évora, Portugal
3. Department of Physics, Science and Technology School, University of Évora, 7000-671 Évora, Portugal
Interests: meteorology; boundary layer micrometeorology; satellite remote sensing; inland water quality; spectral radiation measurements; surface-atmosphere interactions; atmospheric radiative transfer

Special Issue Information

Dear Colleagues,

Water quality describes the condition of water, including any potential chemical, physical, and biological characteristics. In recent years, declining water quality has become a global issue of significant concern as anthropogenic activities expand, natural environments become degraded, and climate change threatens to cause major alterations to the hydrological cycle. Therefore, timely and accurate monitoring of water quality and changing trends is of great significance for improving the management of water resources and protecting the water environment.

Water quality is measured by several factors, including optically active parameters (chlorophyll-a, suspended matter, and colored dissolved organic matter) and non-optically active parameters (chemical oxygen demand, biochemical oxygen demand, total phosphorus, and total nitrogen). Optical remote sensing monitors the water quality by measuring the parameters that change the spectral properties of water bodies upon their interaction with light. Compared with conventional surface water quality assessment methods, optical remote sensing has the advantages of low cost, spatial continuity, and temporal consistency. Remote sensing can comprehensively and dynamically obtain water quality information from optical remote sensing imagery, using data either from satellite, aircraft or on-site observation, providing a supplement to traditional water quality monitoring and assessment.

The Special Issue invites researchers to submit contributions using multi/hyperspectral optical remote sensing imagery for water quality assessment. Topics of interest for this Special Issue include, but are not limited to: water quality assessment; optical water parameters retrieval; and cyanobacterial blooms monitoring.

Prof. Dr. Maria João Costa
Dr. Miguel Potes
Guest Editors

Manuscript Submission Information

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. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short 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 thoroughly refereed through a single-blind 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 semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2700 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • water quality
  • water color
  • water parameters
  • water eutrophication
  • bio-optical models
  • satellite image
  • optical remote sensing

Published Papers

There is no accepted submissions to this special issue at this moment.
Back to TopTop