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Special Issue "Novel Lake Water Quality Monitoring Strategies"

A special issue of Water (ISSN 2073-4441). This special issue belongs to the section "Water Quality and Ecosystems".

Deadline for manuscript submissions: 30 June 2019

Special Issue Editors

Guest Editor
Dr. Sampsa Koponen

Finnish Environment Institute, Helsinki, Finland
Website | E-Mail
Phone: +358 40 128 2201
Interests: Earth Observation; water quality; validation measurements; algorithm development; environmental monitoring
Guest Editor
Dr. Saku Anttila

Finnish Environment Institute, Helsinki, Finland
Website | E-Mail
Interests: Earth Observation; water quality; environmental monitoring; representative sampling

Special Issue Information

Dear Colleagues,

The Sentinel satellites of the European Union’s Copernicus programme provide new opportunities for monitoring aquatic environment. The current constellation includes two types of satellites with instrument suitable for lake monitoring:

  • The MultiSpectral Instrument (MSI) on board two Sentinel-2 satellites provide global coverage of in-land and coastal water bodies every 5 days with high resolution (10–60 m) data.
  • The Ocean and Land Colour Instrument (OLCI) on board two Sentinel-3 satellites will provide global coverage every two days with 300 m resolution data once the commissioning of Sentinel 3B is finished in late 2018.

Combined, these two missions provide tremendous amounts of freely available data about the environment every day. The Copernicus programme will continue to launch more satellites and guarantees the availability of high quality data far into the future. These long-term data streams allow new monitoring strategies to be developed.

There is a lot of heritage in the use of Earth Observation for aquatic monitoring. However, there is still need for better processing methods before the full potential of these new instruments can be reached. Furthermore, comparison with in situ data is needed in order to convince the user communities.

The development of earth observation applications are also strongly linked to the redesigning of water quality monitoring programs. EO’s role as one information source can vary depending on the monitored area and on the availability and properties of other data sources. There is a clear need for designing monitoring programs to balance the monitoring efforts and costs with sufficient and representative data collection.

Against this background we invite original research papers on the use of Earth Observation data (not limited to Sentinels) for monitoring inland waters.

Dr. Sampsa Koponen
Dr. Saku Anttila
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 papers will be 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. Water is an international peer-reviewed open access monthly 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 1600 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

  • Earth Observation
  • water quality
  • inland water bodies
  • environmental monitoring and reporting
  • validation, service production

Published Papers (1 paper)

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Research

Open AccessArticle
Remote Sensing of Water Quality Parameters over Lake Balaton by Using Sentinel-3 OLCI
Water 2018, 10(10), 1428; https://doi.org/10.3390/w10101428
Received: 23 July 2018 / Revised: 24 September 2018 / Accepted: 4 October 2018 / Published: 11 October 2018
Cited by 2 | PDF Full-text (2254 KB) | HTML Full-text | XML Full-text
Abstract
The Ocean and Land Color Instrument (OLCI) onboard Sentinel 3A satellite was launched in February 2016. Level 2 (L2) products have been available for the public since July 2017. OLCI provides the possibility to monitor aquatic environments on 300 m spatial resolution on [...] Read more.
The Ocean and Land Color Instrument (OLCI) onboard Sentinel 3A satellite was launched in February 2016. Level 2 (L2) products have been available for the public since July 2017. OLCI provides the possibility to monitor aquatic environments on 300 m spatial resolution on 9 spectral bands, which allows to retrieve detailed information about the water quality of various type of waters. It has only been a short time since L2 data became accessible, therefore validation of these products from different aquatic environments are required. In this work we study the possibility to use S3 OLCI L2 products to monitor an optically highly complex shallow lake. We test S3 OLCI-derived Chlorophyll-a (Chl-a), Colored Dissolved Organic Matter (CDOM) and Total Suspended Matter (TSM) for complex waters against in situ measurements over Lake Balaton in 2017. In addition, we tested the machine learning Gaussian process regression model, trained locally as a potential candidate to retrieve water quality parameters. We applied the automatic model selection algorithm to select the combination and number of spectral bands for the given water quality parameter to train the Gaussian Process Regression model. Lake Balaton represents different types of aquatic environments (eutrophic, mesotrophic and oligotrophic), hence being able to establish a model to monitor water quality by using S3 OLCI products might allow the generalization of the methodology. Full article
(This article belongs to the Special Issue Novel Lake Water Quality Monitoring Strategies)
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