Special Issue "Satellite Monitoring of Water Quality and Water Environment"
A special issue of Remote Sensing (ISSN 2072-4292).
Deadline for manuscript submissions: 30 June 2019
Dr. Wei Yang
Center for Environmental Remote Sensing, Chiba University, 1-33, Yayoi-cho, Inage-ku, Chiba-shi, Chiba-ken, 263-8522, Japan
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Interests: remote sensing of inland waters; remote sensing of vegetation; atmospheric correction; algoirthm development; environmental modeling; climate change
Dr. Bunkei Matsushita
Faculty of Life and Environmental Science, University of Tsukuba, 1-1-1 Tennoudai, Tsukuba, Ibaraki, 305-8572, Japan
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Interests: remote sensing of case-2 waters; water quality; water environment; land cover/use changes; estimation of impervious surface area of watersheds
Variety of water bodies plays important roles in human societies, in terms of providing multiple ecosystem services. However, in recent decades, they have encountered intensive pollution problems, all over the world. For example, the water quality of inland waters is strongly influenced by land use/cover changes (LUCC) in their corresponding watersheds. Understanding the interactions between water quality and their watersheds is, therefore, crucial for sustainable management of water resources.
Remote sensing is an important technique for monitoring water environments and watershed LUCC, being able to cover large spatial areas at frequent intervals. Mapping of regional LUCC, based on satellite observations, is well established. In contrast, satellite remote sensing of water quality, especially for inland and coastal water areas is still very challenging, due mainly to complex interactions among optically active substances, diversity of specific inherent optical properties, as well as difficulties in atmospheric correction above many inland and coastal waterbodies. The application of satellite monitoring to inland waters has been far less successful than those in the oceanic areas. In recent years, field surveys for inland waterbody remote sensing have increased. Meanwhile, the rapid development of mathematic techniques (e.g., machine learning) and cloud computation platforms (e.g., Google Earth Engine) provide new opportunities to improve the utility of satellite remote sensing for inland water monitoring. However, there is a clear need to share approaches and new ideas that can be used to expand and strengthen an integrated approach to catchment and waterbody management.
To meet this urgent need, a Special Issue on “Satellite Monitoring of Water Quality and Water Environment” is being planned by the international journal, Remote Sensing, to address the technical challenges for satellite monitoring of inland and coastal waters and demonstrate successful applications of remote sensing on the links between water quality/resource and watershed LUCC.
We solicit your contributions in this field to our Remote Sensing Special Issue. Research or review articles with respect to the following topics are welcome:
- Remote estimation of water quality parameters
- Remote estimation of water optical properties
- Optical classification of specific inherent optical properties of world-wide inland and coastal waters
- Application of machine learning algorithms to remote sensing of water environment
- Application of Google Earth Engine to remote sensing of water environment
- Validation and development of atmospheric correction algorithms for inland and coastal waters
- Satellite mapping of macrophytes in inland waters
- Satellite monitoring of inland water resources
- Long-term satellite monitoring of watershed LUCC
- Linkage between water qualities/resources and watershed LUCC
- Environmental modeling of inland waters and its watershed based on application of remote sensing
Dr. Wei Yang
Dr. Bunkei Matsushita
Dr. Ronghua Ma
Dr. Steven Loiselle
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. 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 1800 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.
- water quality
- water environment
- land use/land cover
- remote sensing
- atmospheric correction
- algorithm development
- environmental monitoring
- machine learning
- Google Earth Engine