Remote Sensing Application to the Management of Water Quality and Habitats
A special issue of Remote Sensing (ISSN 2072-4292). This special issue belongs to the section "Ocean Remote Sensing".
Deadline for manuscript submissions: closed (31 December 2021) | Viewed by 938
Special Issue Editors
Interests: marine ecology; integrated coastal management; social-ecological system; ecological modeling; remote sensing
Interests: remote sensing of ocean color; artificial intelligence; marine pollution; environmental fluid dynamics
Special Issues, Collections and Topics in MDPI journals
Interests: ocean color; primary productivity of benthic, coastal and oceanic waters; biogeochemically-physically coupled modelling; bio-optics; ecological modeling and forecasting; data assimilation
Special Issues, Collections and Topics in MDPI journals
Interests: remote sensing; ocean color; bio-optical algorithms; water quality; phytoplankton productivity; human-/climate-induced changes in marine ecosystems
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Water quality and habitat in terrestrial and coastal areas have been deteriorating in past decades, caused mainly by the increases in nutrient input, attributed to anthropogenic activities. The decline in water quality has been the subject of recent discussion, because it has a negative impact on aquatic ecosystems (e.g., from lakes/reservoirs, estuaries, and bays to the open ocean), such as algal blooms and hypoxia, which subsequently impact ecosystem services and human well-being. Rigorous water samplings have been conducted in many places to monitor and manage water quality, but temporal and spatial scales are limited in order to cover the entire area of interest. Remote sensing is a powerful and rapidly advancing technology to provide timely and adequate information for the management of water quality and habitat. However, an accurate proxy of in situ water quality and habitats using a remote sensing-based approach still faces significant challenges and is subject to low credibility.
Remote sensing- and in situ monitoring-based information have their own pros and cons. Therefore, the effective combination of the two approaches as well as the advancement of the remote sensing-based proxy are urgently required for the effective and efficient management of water quality and habitats.
In this Special Issue, we kindly invite high quality and original research papers using UAV-based remote sensing, aerial remote sensing, and/or satellite remote sensing techniques in freshwater, brackish water, and seawater habitats on the following topics.
- Remote sensing of spatial and/or temporal variations in surface water quality and/or habitats;
- New methods of integrating in situ monitoring and remote sensing information;
- Data analysis of remote sensing and in situ observation to develop algorithms of water quality or habitats;
- Habitat classification methods by remote sensing techniques;
- New remote sensing technologies for water quality and/or habitats;
- Effective observation of management targets (e.g., invasive species, endangered species, harmful algal blooms, and oil spills) using remote sensing methods.
Prof. Dr. Jongseong Ryu
Dr. YongHoon Kim
Dr. Hae-Cheol Kim
Dr. SeungHyun Son
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.
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Keywords
- Remote sensing
- Water quality
- Habitats
- Invasive species
- Endangered species
- Harmful algal blooms
- Oil spills
- UAV remote sensing
- Aerial and satellite remote sensing
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