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Special Issue "Monitoring and Mapping Inland and Coastal Water Dynamics Based on Landsat Data"

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

Deadline for manuscript submissions: 30 September 2023 | Viewed by 90

Special Issue Editors

Department of Geological Engineering, Middle East Technical University, Ankara, Turkey
Interests: hydrology; remote sensing; hydrological models; floods/droughts; inland water dynamics
Department of Civil and Environmental Engineering, Faculty of Engineering and Physical Sciences, University of Surrey, Guildford, UK
Interests: remote sensing; hydrological and hydraulic modelling; water resources sustainability

Special Issue Information

Dear Colleagues,

Monitoring and mapping inland water dynamics via remote sensing techniques provide critical support for hydrology, ecology, and climate change studies. Among the ever-increasing number of earth observation satellite platforms, the NASA/USGS Landsat program, first launched in 1972, stands out as providing the longest continuous space-based measurements with spectral, spatial, and temporal scales that are well suited to observe patterns, cycles, changes, and trends in a variety of natural and built environments, including inland and coastal waters. Marking the Landsat program’s 50th year anniversary, this Special Issue aims to archive a collection of original research articles and comprehensive reviews focusing on the utility of the Landsat program in monitoring and mapping inland and coastal water dynamics, with a specific focus on, but not limited to, the following topics:

  • Dynamics of water quantity and quality in coastal environments, lakes, rivers, and reservoirs at regional and global scales, and their relationships to anthropogenic and climatic drivers;
  • Dynamics of algal biomass, organic and inorganic suspended solids, and colored dissolved organic matter in inland and coastal waters;
  • Analysis of long-term trends focusing on the impact of land use/landcover change and climate change;
  • Use of Landsat data in cloud computing platforms such as Google Earth Engine, Amazon Web Services, etc.;
  • Utility of machine and deep learning algorithms;
  • Correction and fusion techniques to increase information content;
  • Challenges and limitations in spectral, spatial, and temporal coverage of Landsat platforms;
  • Comparison of Landsat dataset with other earth observation missions;
  • Bathymetric mapping of shallow waters.

Dr. Koray K. Yilmaz
Dr. Milad Niroumand-Jadidi
Dr. Belén Martí-Cardona
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at 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 2500 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.


  • Landsat
  • inland and coastal waters
  • water extent
  • water quality
  • bathymetry
  • environmental impact assessment

Published Papers

This special issue is now open for submission.
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