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Advances in Remote Sensing of the Inland and Coastal Water Zones (3rd Edition)
Special Issue Information
Dear Colleagues,
Contact areas between water and land are an important element of the environment that is constantly changing. It is related to the influence of marine and inland water masses on land and the influence of various anthropogenic factors. One of the effects of the impact may be coastal erosion, changes in the coastline, the occurrence of floods, algal blooms, pollution or changes in the functioning of ecosystems. The balanced coexistence of these two environments requires constant monitoring. Taking into account the extent of inland and coastal water areas, such monitoring can be carried out with the use of remote sensing sensors on a scale covering local analyses or covering larger sections of banks, rivers or water reservoirs. More and more detailed and diversified remote sensing data of the aquatic environment and adjacent areas make it possible to conduct comprehensive studies, which is often related to their increasing resolution, completeness, availability or development of measuring instruments.
The previous Special Issue “Advances in Remote Sensing of the Inland and Coastal Water Zones II” was a great success. We dedicate a special edition to publications related to research on the environment of coastal and inland coastal zones, undertaking comprehensive and up-to-date solutions to scientific problems. Research may also be related to new applications of remote sensing data, the development of new methods of their processing including machine learning, geospatial modelling or the assimilation of remote sensing data in forecasting models. Taking into account the constant development of remote sensing, satellite, hydrographic and other mobile sensors, in this Special Issue, we wanted to focus on their use in various environmental aspects. Research may include, among others, the detection of changes taking place in coastal zones, the analysis of water parameters, processing of data, the creation of numerical terrain and bathymetric models, ecosystem analysis and other thematically related topics.
Dr. Jacek Lubczonek
Dr. Paweł Terefenko
Dr. Katarzyna Bradtke
Dr. Marta Wlodarczyk-Sielicka
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
- coastal zone
- coastal geomorphology
- inland waters
- shoreline change/erosion
- ecosystem
- water parameters
- water level
- bathymetry
- topo-bathymetry
- geodata processing
- data fusion
- LIDAR
- spatial big data
- satellite remote sensing
- algal blooms
- 3D modelling
- spatial mapping
- image processing and analysis
- machine learning
- digital elevation/bathymetric models
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